Rhee Lab

Our lab combines computational and experimental approaches to reveal molecular mechanisms underlying adaptive strategies in plants. We focus on metabolic traits at multiple scales including individual genes, pathways, and networks. We also uncover novel functions, mechanisms, and pathways of 'unknown' genes (those that are not similar to any known genes), which is taking us to areas of research we never thought of studying before.

Seung Yon (Sue) Rhee
Email: srhee@carnegiescience.edu
Phone: (650) 739-4251

Lab Tabs

Our Research

Research Interests: 2002 | 2005 | 2009 | 2012

Research Interests (JANUARY 2019)

Climate change is the single biggest threat to global human health, and is expected to cause about a quarter of a million deaths globally from malnutrition, infectious diseases and heat stress (link). Climate change is rapidly changing the habitability of many species on many places on Earth. We need innovations in science and technology to tackle global sustainability, food security, human health, and biodiversity.

Plants not only underpin terrestrial ecosystems and feed us, but also bestow renewable energy and essential medicines. Plants also sequester a significant proportion of the world’s carbon. Therefore, to meet today’s societal challenges, we need technological and conceptual advances in plant science.

RheeLabResearch2019.png

We aim to uncover the molecular mechanisms underlying adaptive traits in the face of heat, drought, nutrient limitation, latitude and pests. We study a variety of plants including models, orphan crops, medicinal and desert plants. More recently our work has involved studying a model nematode C. elegans, fungal pathogens, corals, and piezophilic bacterium. Our group employs computational modeling and targeted laboratory testing to study mechanisms of adaptation, functions of novel genes, organization and function of metabolic networks, and chemical and neuronal code of plant-animal interactions. We are also interested in developing translational research programs involving carbon sequestration by plants and biomass maximization under drought in bioenergy crops.

The following are the five wings of our current research program, often done in collaborations with other labs.

I. Metabolic engineering: We combine computational modeling, genetics, genomics, biochemistry, synthetic biology, and bioinformatics to model genome-scale metabolic networks of cells, organ systems, and organisms to understand, predict, and engineer metabolic traits. Examples of systems we study include source-sink relationships within a plant to maximize biomass production under suboptimal conditions, plant-pathogen relationships to identify the sources of metabolic dependency, and microbe-microbe interactions within a microbial community in the fruit fly gut. We also use omics data to decipher the rules of transcriptional regulation of metabolism and have discovered novel epigenetic and transcription factor-mediated regulatory mechanisms. Finally, we combine computational and synthetic biology methods to discover new biosynthetic pathways that synthesize natural products in plants.

II. Neuroscience: Twenty percent of American adults have experienced a mental health issue. Yet, despite decades of research we still have a limited understanding of how the mind works. One of our projects, called NeuroPlant, aims to address this gap by leveraging chemicals made in plants as tools to manipulate and decipher neuronal pathways. Our strategy is to develop methods to screen the effects of natural products on neural activity and behavior. We will focus on compounds synthesized by medicinal plants, as these chemical libraries are enriched for their efficacy through evolution and human selection. Our principal experimental system is C. elegans, which is uniquely suited for this project due to its rapid growth, its genetic and optical accessibility, and its wealth of genomic resources. After screening in worms, we will test our lead compounds in human cells. Another direction we want to take with this branch of research is to combine chemical ecology and evolutionary biology to understand how animal brains evolved to recognize plants and how plants evolved to protect themselves against herbivores through invention of chemicals that control animal behavior.

III. Sustainability: Global warming is changing the habitability of many places for many species on Earth. Plants occupy the largest portion of the land surface and understanding thermo-adaptation in plants is critical and timely for global sustainability, food security and species conservation. This is a new focus for collaboration between molecular biologists and ecologists. In the 1970s, Carnegie scientists studying Tidestromia oblongifolia in Death Valley discovered that it is highly adapted to high temperatures and has optimal photosynthetic rate at 47ºC that is comparable to crop plants in their most favorable conditions. The molecular basis of this remarkable thermo-adaptation of photosynthesis remains largely uninvestigated. To decipher the mechanisms of thermo-adaptation of T. oblongifolia, we have assembled an interdisciplinary team with expertise in ecophysiology, genomics, biochemistry and computational modeling of photosynthesis. We have successfully recreated Death Valley conditions in our customized growth chambers and are conducting physiological measurements of two T. oblongifolia ecotypes (Death Valley (max temp~50C) and Dos Palmas (max temp~42C) along with three ecotypes of a related Amaranth species called Amaranthus hypochondriacus, which is an ancient crop from the Incas that has a high potential for future agriculture.

IV. Data-driven discovery: Over 25-75% of protein-encoding genes in all sequenced genomes are not similar to anything with known molecular functions. We develop approaches to systematically characterize these ‘unknown’ genes. This part of our research program is the most risky but we are learning the most new biology from this approach. One example is a novel gene that we call CHIQUITA, which is a negative growth regulator that renders the plants without it dwarf (surprisingly) and appears to be an integrator of growth between cellular and organ levels. Considering that these are the first two genes of the ‘unknown’ genes we have been characterizing, I am confident that this dark matter of the genome in plants is a gold mine for the riskphilic, creative, and optimistic.

V. Plant Cell Atlas: We want to create a community that includes scientists from data science, AI, imaging, proteomics, single cell profiling and nanotechnology to lay the groundwork for creating a comprehensive understanding of the dynamic molecular organization of the plant cell, an initiative we are calling the Plant Cell Atlas. A Plant Cell Atlas will become a crucial resource for the scientific community to address basic, long-standing questions in biology that relate directly to grand challenges in food security and climate change. This community will leverage and extend a number of revolutionary technologies and techniques and be poised to create new techniques. We are organizing the kick-off workshop with 60 people at Carnegie’s Plant Bio Dept on Stanford campus in March 2020.

On training…

My main, perhaps the only, ambition in science is to recruit the best postdocs and students and help them become even better by the time they leave my lab. Synergistic interaction with people in my group is the most fun and rewarding aspect of my job on a daily basis and is the main driver for publishing good papers, presenting our work, and securing funding. Our group has two types of trainees: postdoctoral researchers who are in their last phase of training before launching their own groups or establishing independence in other ways, and research assistants who typically come right after college or a masters program without much, if any, research experience. Besides these opposite ends of the training spectrum, everyone has his or her unique personality, style of learning, and background. So I try to adjust the style and type of training according to the individual.

My goal is to foster an environment for the trainee to become an independent, effective, and successful leader. I strive to help them learn how to identify interesting, solvable problems and foster an engaging environment for them to learn and apply innovative methods to solve the problems. One way I do this is by having an interdisciplinary group where people with different training and cultural backgrounds come and develop a variety of projects. The synergism we have achieved through this is evident in our lively group meetings that typically last for 1.5-2 hours where essentially everyone brings up interesting suggestions and ideas.

I recruit postdocs who not only have clear potential but also have areas that I feel I can definitively help improve during their tenures in my lab. In addition to conducting phone and in-person interviews, I request a document outlining a plan of research projects, with which I communicate extensively by email before I make an offer. I feel that each new member that comes to my lab is special and unique and I feel a sense of duty to see him/her flourish intellectually and personally during his/her tenure in my lab. I advise postdocs on career development informally throughout their tenure, but formally during the interview and after 1 year into the tenure. Towards the end of the first year, I ask the postdocs to come up with a list of their strengths and weaknesses and we discuss these points, particularly with a focus on improving the weaknesses catered for their career directions.

I emphasize training postdocs on effective writing and speaking. The postdocs typically participate in writing one grant proposal during his/her tenure and write at least one first-author publication in which he/she leads the process from beginning to end, with my guidance. They also have ample opportunities in preparing and delivering presentations of their work. Informally, each postdoc gives presentations during weekly group meetings (12-14 people). There are additional opportunities for giving presentations, such as the department-wide post-doc only ‘round table’ meetings (~20-30 people) and the biweekly internal seminar series attended by the whole department (~70-80 people). Typically postdocs in my group give ~6-8 presentations/year. Much is gained also by listening to others speak about their research and, being located at a university, we have access to a number of cutting-edge seminar series. At Carnegie, postdocs have an opportunity to meet with the invited seminar speakers during lunch and post-seminar reception. My postdocs typically attend one scientific conference/year. Presenting a poster or an oral presentation is highly encouraged.

Finally, my postdocs gain opportunities to learn how to mentor and advise students who come through our lab as summer interns or voluntary research assistants. Typically 1-2 summer interns and research assistants visit my lab per year.

Besides training people in the science, I consider training of the scientist to be equally important. I value and try to foster qualities such as intellectual generosity, intellectual integrity, creativity and vision. I believe these qualities distinguish a great scientist from a good scientist. Intellectual generosity does not merely stop at being generous in sharing results and reagents, but also ideas, constructive criticisms and empathy in other people’s problems. The best way to learn this, in my view, is by examples from role models. I am surrounded by colleagues and mentors with many of these qualities and I encourage people in my group to seek, recognize and appreciate such qualities in their peers, advisors, mentors and other scientists. Intellectual integrity is another quality I emphasize, mostly to the beginning researchers. When one is starting out in designing and performing experiments, it is very easy for one’s enthusiasm to overshadow the absolute objectivity required. I see this time and again where if students are aware of the expected result, they tend not to ‘see’ the unexpected result. I am sure this behavior is not always conscious. But that makes it even more critical to emphasize intellectual honesty. I also believe there are ways of fostering creativity and vision, but will not dwell on these further here.

Last but not least, I want to emphasize the need for all of us to become the best storytellers. With all the talk and facts about the demise of federal funding for basic scientific research and available positions in academia, we forget how privileged we are to pursue our intellectual curiosities as a profession. This privileged lifestyle comes with a profound responsibility to captivate the ears, eyes, and hearts of the general public with stories that illustrate that with basic science, everything is possible, but without basic science, there will be no humanity.

Tweets by @SueRhee2

News

Aug

2019

Carnegie-led initiative receives major DOE biofuels research grant

By Carnegie HQ

Palo Alto, CA— Carnegie plant biologists Sue Rhee and David Ehrhardt will lead one of 25 teams awarded a total of $64 million this week by the U.S. Department of Energy to pursue genomic research of potential biofuel crops. “This research will help ...

Jul

2019

Do plant cells hold the roadmap for surviving climate change?

By Carnegie HQ

Palo Alto, CA— Do plant scientists hold the key to saving vulnerable populations in a changing climate? How should plant researchers prepare to deploy their knowledge to maintain food security in the future—as well as to promote renewable energy, ...

May

2019

Two New Venture Grants Awarded

By Carnegie HQ

The Office of the President has selected two new Carnegie Venture Grants. Peter Driscoll of the Department of Terrestrial Magnetism and Sally June Tracy of the Geophysical Laboratory were awarded a venture grant for their proposal Carbon-rich Super- ...

Jan

2019

Worms help Carnegie and Stanford biologists investigate how plant-derived neurological drugs work

By Carnegie HQ

Stanford, CA— For millennia, humanity has used medicinal plants and plant-based compounds to treat a variety of neurological ailments including epilepsy, mania, migraines, and bipolar disorder. Now a team of researchers from Carnegie and Stanford ...

Tweets

Lab PI

Sue Rhee

Senior Staff Scientist

Plant Biology

Carnegie Institution for Science

srhee@carnegiescience.edu
650-739-4251
Office:
260 Panama Street
Stanford, CA 94305, US

Profile

Bio

Where do you come from?

I find two things magical: plants and movies. My love of plants started when I wrote a little story about a tree that grew next to the apartment building we lived in Seoul when I was 12. We lived on the sixth floor and my room had a window next to the tree whose canopy was the same height. I was amazed that a tree could grow so tall amidst the concrete towers in the high-rise jungle and wrote an imaginary biography of the tree and its thousands of dancing leaves. My story got a national award and I thought I was destined to become a writer. Little did I know that my little world would be uprooted and transplanted across the globe within a year. A new life in the US where I no longer had control over the language dissolved my dream of becoming a writer. Little did I know that I would eventually end up studying and writing about the mysteries of plants for a living!

What was your first experience with research?

The smell of ether singularly captures my memory of science and research in high school and college. We had a little room behind the biology classroom of Dr. Kowalski’s at Yorktown High, where we conducted genetics experiments with the fruit fly. We would knock them out with ether so that we could count their eye colors and learn about the magical ratio of Mendelian segregation. At Swarthmore college, in the fancy Howard Hughes laboratory of Dr. Mark Jacobs, we wanted to identify protein kinase C from plants and purified the protein from rat brains (one of the most abundant sources of PKC) to establish the biochemical assays. Trips to the Psychology department for the source of PKC were angst-ridden as we ‘took care’ of the rats by knocking them out with ether in a large aluminum garbage can on the roof and surgically removed their brains with rusted guillotine and scissors. These were ‘exciting’ times but also solidified my distaste for doing experiments with animals.

How did you choose graduate school?

A new life in the beautiful San Francisco bay area got started when I came for an interview to do graduate work at Stanford. Learning about the cutting-edge research at Stanford was thrilling, but what really made me decide to settle here were the lovely dinners hosted by plant biologists Drs. Ginny Walbot and Sharon Long. Ginny grilled a whole salmon on her deck and we sat around a picnic table overlooking her gorgeous garden of native plants in full bloom. Sharon and Hal McGee (a science food writer with a cult following) made a wonderful meal and we talked about science and food around the table for hours. In my eyes, they were the Meryl Streeps and Katharine Hepburns of science.

How did you choose a graduate project and lab?

A lot of soul searching goes on during a graduate program. I probably hold a record in not settling into a laboratory to perform graduate work. After doing 4 rotations in various labs, I was still uncertain about where to do my Ph.D. work, and I was gearing up to do yet another rotation when Ginny interjected and encouraged me to talk with a plant biologist, Dr. Chris Somerville, who was coming to Carnegie (a non-profit research institute whose plant biology department was located on campus) as the new director. He was gracious enough to meet me during one of his visits to Stanford and we sat in the white plastic picnic chairs outside the seminar room. Before I realized, we had talked for over two hours, sharing our ideas, perspectives, and science, and I was certain that he was the ideal mentor I was looking for. Although I had to wait another year until his lab moved to Carnegie and didn’t get started with my Ph.D. research until my third year into graduate school, it was a wonderful experience and Chris remains as one of my favorite scientists and friends of all time.

What was your path after getting a Ph.D.?

A lot of soul searching goes on after getting a Ph.D. While I enjoyed the intense period of digging deep into the mysteries of how pollen cell wall formed and unformed into the wee hours of the night, I wasn’t sure whether this was the life I wanted to pursue for the rest of my life. My curiosity knew no bounds, yet what I could do to attack these bouts of curiosities remained frustratingly limiting. So I decided to leave science and turned my attention to the other magical medium, filmmaking. I developed a project with a dear friend from college, Nan Bress, who had just finished a masters program in documentary filmmaking at Stanford. We wanted to make a series of short documentaries about career paths and choices with a degree in science. We pursued our project for two years with a lot of zeal and heart but couldn’t raise enough funds to realize our goals. While I was pursuing this path, I took on a part-time job as a database curator at the Genetics department at Stanford. The database, AtDB, held genetic information about Arabidopsis, the plant I studied as a graduate student. I shared the office with postdocs from Dr. David Botstein’s lab where new genomics technologies were being developed. With the human and Arabidopsis genome sequencing projects well underway and the Internet becoming a household name, I could almost taste the beginning of a new era in biology and I wanted to be a part of it!

I was in the right place at the right time. The Arabidopsis community, which amassed its critical mass, thanks to dynamic leaders like Chris Somerville and Elliot Meyerowitz, wanted a brand new database to hold all of Arabidopsis data that was about to explode. I was part of one of the teams that submitted a proposal to this call and we were successful in getting it. We got the news on my 30^th birthday and because I was second in charge (the person who was going to run the project had just taken a job at industry a month before), this project essentially landed on my lap. With a team of about 10 people I put together back at Carnegie, we created the next generation Arabidopsis database called The Arabidopsis Information Resource (TAIR).

This is my 20^th year at Stanford 18^th year at Carnegie. Since I (re)-started at Carnegie as a staff associate building TAIR and other biological databases in 1999, I was promoted to a staff scientist in 2005 at which time I passed on the baton of running TAIR to Dr. Eva Huala. Since 2005, I have been revamping my scientific program to understand how plants exhibit complex traits like drought and salt tolerance by elucidating the underlying genome-wide networks of proteins and metabolites. We want to identify all of the unknown processes and functions in plants using methods and concepts from computer science, evolution, and genetics and connect the dots in a way that we can explain the complex behavior of plants mechanistically, quantitatively, and predictably.

Affiliation

Carnegie Affiliation:

DPB Employees

DPB Affiliation:

DPB Faculty

Labs:

Rhee Lab

Research Programs:

Pathway Metabolic Network

Download:

Rhee_CV.pdf

Teaching

2019

Career Exploration and Planning

Stanford University

Spring 2019: BIO380

Description: Thinking about and planning for life beyond graduate school is one of the most anxiety-provoking activities students face. In this course, students will share their personal stories and dilemmas about career decisions, discuss various career options with a PhD in life sciences, and learn to design their own path. There will be three career panels with invited guests from various career tracks, including research, teaching, administration, business, law, journalism, policy, and more. Open to PhD students in Biosciences programs. The class will meet at Carnegie Institution for Science's seminar room building 600, located at 260 Panama St, Stanford, CA 94305.

Requirements: Students are expected to attend all class meetings, actively contribute to group discussions, and to give a short group presentation on the final class meeting.

Schedule

April 4 — Introductions

Introduction to the structure and context of the course, as well as an excellent opportunity for participants to get to know one another. We will go over requirements and expectations of the course, complete a preliminary survey, and engage in small group activities discussing career opportunities in the life sciences, personal/professional dreams, and how to find an overlap between the two.

April 11 — Myers-Briggs Type Indicator Test

The Myers-Briggs Type Indicator (MBTI) personality inventory is widely acknowledged as one of the most accurate and respected personality tests in psychology. It can be utilized in considering future career decisions as a practical tool for investigating work styles and work settings that are most conducive to one’s personality. We will be discovering our personality types, and how to maximize our "gifts" (our personality preferences) in order to contribute to team success--while understanding how the many facets of our complex identities affect overall career satisfaction. Staff from Stanford’s BioSci Careers (https://med.stanford.edu/bioscicareers.html) will help with evaluating the results.

April 18 — Career Panel I: “Policy, Administration, and Scientific Journalism”

Panelists will be briefly introduced, then the floor will be opened up for student questions. This panel, along with the panels to follow, will serve as the perfect opportunity for lively discussion, and give students unique insight regarding career options and expectations.

Policy: Mary Maxon, Ph.D. Associate Laboratory Director, Biosciences Labs at UC Berkeley
Govt Program Management: Devaki Bhaya, Ph.D. Adjunct Staff Scientist, Carnegie Institute for Science, Department of Plant Biology
Science Writing: Amy Adams, M.S. Director of Science Communications, Stanford University
Academic Administration: Rieko Yajima, Ph.D. Director for Drug Discovery Innovation, SPARK Translational Research Program, Stanford University

April 25 — Career Panel I Decompression

Group discussions to follow the “Policy, Administration, and Scientific Journalism” panel. Students will be encouraged to share their responses to the panel, their ideas about what careers in these fields may look like, as well as their likes and dislikes about panelist responses.

May 2 — Introduction to Final Presentations/Career Planning Lecture

Final Presentation projects will be assigned and expectations will be discussed. In addition, there will be a lecture on career planning to introduce students to key concepts and tools that are useful in professional development, with group discussions to follow.

May 9 — Career Panel II: “Business”

Venture Capital: James Zhang, Ph.D. Chief Strategy Officer, Centrillion Technologies Inc., and Partner, GRC Fund
Patent Law: James Keddie, Ph.D. Senior Patent Agent, Bozicevic, Field & Francis LLP
Industry: Lee Chae, Ph.D. Co-Founder and CTO, Brightseed
Entrepreneurship: Fred Hempel, Ph.D. Co-Owner of Baia Nicchia Farm and Artisan Seeds
Industry administration: Malavika Kannuswamy, M.S. Associate Director, Portfolio Planning and Program Management, Denali Therapeutics

May 16 — Career Panel III: “Research”

Academic Research: Ashby Morisson, Ph.D. Associate Professor of Biology, Stanford University
NGO Research: Rebecca Shaw, Ph.D. Senior Vice President and Chief Scientist, World Wildlife Fund
Government Research: John Vogel, Ph.D. Staff Scientist, Joint Genome Institute, and Adjunct Professor, UC Berkeley Department of Plant and Microbial Biology
Teaching: Jesse Miller, Ph.D. Lecturer, Stanford University

May 23 — Career Panels II & III Decompression

Group discussions to follow the “Business” and “Research” panels. Students will be encouraged to share their responses to the panel, their ideas about what careers in these fields may look like, as well as their likes and dislikes about panelist responses.

May 30 — Student Final Presentations

Students will give their final presentations, followed by extensive group discussions to wrap up all that we have discovered together about ourselves, and about the career options that are available to us. We will also discuss ways to follow up from this course and additional resources that are available on and off campus.

Notices

Disability Access: Students with disabilities necessitating accommodation and/or services in class should notify the teaching assistants and initiate a request with the Office of Accessible Education (OAE). The OAE will evaluate the request with required documentation, recommend appropriate accommodations, and prepare a verification letter dated in the current academic term in which the request is being made. Please contact the OAE as soon as possible; timely notice is needed to arrange for appropriate accommodations. The OAE is located on the first floor of the Student Services Building, between the Munger Graduate Residences and the Haas Center for Public Service, at 563 Salvatierra Walk, Stanford, CA 94305 (office hours Monday - Friday, 9 am - 5 pm). You may contact them through their website (oae.stanford.edu), email (oae-contactus@stanford.edu), or phone (650-723-1066).

Honor Code: Please visit and read the honor code from Stanford’s community standards website: https://communitystandards.stanford.edu/policies-and-guidance/honor-code. The difference between utilizing information from or taking quotes and giving proper citation to external information sources versus plagiarism should be apparent by now. These standards will be strictly upheld throughout this class.

Scientific Writing Workshop

Carnegie Institution for Science, Department of Plant Biology

Summer 2019

Carnegie Scientific Writing Workshop Syllabus

Overview: To become a successful scientist, we must write well and effectively communicate our work to a broad audience. Nevertheless, many of us do not receive official training on the fundamentals of scientific writing, and as a result struggle to highlight the significance of our work. This summer, we are offering an intensive scientific writing workshop to help you set up a writing routine, improve your writing, and gain the tools and confidence you need to become a leader in your field. * In-class exercises and lessons will be adapted from Anne E.Greene’s book titled Writing Science in Plain English.

Schedule and Location: The Carnegie scientific writing workshop is a 10-week series starting June 28th, 2019. Meetings will be held in the Carnegie Institution for Science’s Plant Biology Department Seminar Room (260 Panama Street, Stanford, CA, Building 600) on Fridays from 3-5pm.

Topics:

Week 1 (6/28): Introduction to creating a compelling narrative

Discuss the overview, goals and expectations of the writing workshop
Form scientific writing groups based off of writing experience and document type
Setup electronic folders for submitting writing material
Discuss how to tell your scientific story
- Identifying your audience
- Informal vs. formal register
- Determining your tone
- Defining subjects and action verbs
- Using active vs. passive voice
- Benefits of short vs. long words
- Simplifying noun strings
- Defining technical terms
- Concise writing
- Using transition statements
- Affirmative vs. negative statements
In-class writing exercises

Homework for next class: Create a scientific storyboard

Week 2 (7/12): Workshop Scientific Storyboard

Present scientific storyboards in writing groups
Discuss Background and Significance
- Identifying the scope and structure
- Incorporating new vs. old information
- Highlighting deficiencies in current knowledge and understanding
- Justifying your project
- Using parallel writing structures
In-class exercises

Homework for next class: write up a draft of your background and significance section

Week 3 (7/19): Workshop Background and Significance Sections

Review the Background and Significance section for two people in each writing group
Discuss designing paragraphs
- Identifying the issue
- Development phase
- Conclusion sentences
- Coming to the point
In-class exercises

Week 4 (7/26): Workshop remaining Background and Significance Sections

Review the Background and Significance section for remaining people in each writing group
Discuss different ways to arrange paragraphs
- Chronological order
- Broad ideas to narrow ideas
- Least important to integral information
- Problem to solution
- Compare and contrast
- Transition statements associated with different paragraph styles
In-class exercises

Homework for next class: write up a draft of your Results and Approach

Week 5 (8/9) Workshop Results and Approach

Review the results and approach section for two people in each writing group
Discuss useful tips for making figures and figure legends
- Identify your message
- Writing strong captions
- Writing stand alone text
- Data visualization
In-class exercise

Week 6 (8/16): Discuss Authorship, Publishing, and Reviewing/ Wine tasting

Using a few case scenarios, we will discuss topics relevant for publication

Discuss available authorship guidelines from journals and scientific societies
Discuss the process of publishing and reviewing

Week 7 (8/23): Workshop remaining Results and Approach

Review the results and approach section for remaining people in each writing group
Discuss how to organize a discussion and impact

Homework for next class: write up a draft of your discussion and impact

Week 8 (8/30): Workshop Discussion and Impact sections

Review the discussion and impact section for all people in each writing group
Discuss how to write an abstract

Homework for next class: write an abstract

Week 9 (9/6): Workshop Abstract sections

Review the abstract sections of all writing group members.
Introduce how to write a cover letter

Homework for next class: write a cover letter

Week 10 (9/13): Workshop three Cover letter sections/ Review a manuscript

Review the cover letters for all members in the writing group
Discuss how to review a manuscript

Calendar

Lab Members

Navadeep Boruah (Postdoctoral Associate)
My PhD research involved predictive modeling of plant metabolism and 13C metabolic flux analysis in the lab of Ganesh Sriram at University of Maryland, College Park. A major focus of my dissertation was employment of plant genome-scale metabolic networks to investigate hitherto unexplained metabolic phenomena, e.g. selection of glutamine as the predominant nitrogen transport amino acid for seasonal nitrogen recycling in poplar, and the predominance of specific amino acids in seed storage proteins of maize. In the Rhee lab, I will study plant-pathogen interactions and extremophile metabolism, with a focus on development of testable hypothesis by metabolic network modeling and their validation with 13C isotope labeling experiments.

Prior to joining Ganesh Sriram's lab for my PhD, I had worked on a Master's thesis on dynamics of microfluidic droplets in the lab of Panagiotis Dimtrakopoulos at UMD. I am a chemical engineer by training, Before I relocated to USA for graduate school, I had worked in a petroleum refinery for 4 years in multiple roles. Apart from research, I enjoy attending rock concerts, photography and brewing beer.
Flavia Bossi (Senior Research Associate)
Since college, I have always been interested in the regulation of gene expression; promoters and transcription factors are still my favorite areas of study. Following that interest, I joined Patricia Leon’s lab at the Instituto de Biotecnologia (Universidad Nacional Autonoma de Mexico) to work on the functional characterization of an AP2/ERF transcription factor involved in the glucose signaling pathway in Arabidopsis thaliana. It was a challenging Ph.D. project that excited, frustated, and at times puzzled me.

Early in 2010, I decided to join Sue Rhee’s lab to study a family of regulatory proteins important for another level of gene regulation – targeted degradation of proteins. I was drawn to the Rhee lab for several different reasons. 1- to try to grasp the way of thinking of bioinformatitians (learn basic bioinformatics along the way), 2- to be part of an interesting multidisciplinary group, 3- looking for something new and outside of my comfort zone.

Even though science eats up most of my time, I do have other interests. My most beloved hobbie has always been dance, both taking classes and enjoying dance performances. Moving to the Bay Area introduced me to another art form which is now one of my hobbies too: taiko drumming. And last but not least, I have a family-shared pastime: to play video-games. Favorite console? Nintendo DS … by far.
Yanniv Dorone (Graduate Student)
I am an international (half-French, half-Israeli) graduate student in the Stanford Biology department. During my “Classes Préparatoires aux Grandes Ecoles” years at the Lycée Henri IV in France, I focused my education in physics, chemistry and mathematics. However, the biological applications these fields provide stoked my interest in biology. Therefore, after getting into the Ecole Normale Supérieure de Lyon, I decided to make a special request to change my major to biology. While this was a risky and challenging change to make during the last year of my B.S., I look back at this as one of the three best decisions I have made career-wise (the other two being applying to Stanford and joining the Rhee lab!). I was really excited about biology in general and had finally found a passion: plant genetics. Since then, I had the privilege of working in four different labs on four different continents: I worked on the initiation of translation at the Mechulam lab (Ecole Polytechnique, France), meiosis in the autotetraploid plant A. arenosa at the Bomblies lab (Harvard, US), temperature perception in A. thaliana at the Wigge lab (Cambridge, UK) and projects related to meiosis in A. thaliana at the Levy lab (Weizmann Institute, Israel). As a PhD student, my goal is to identify and characterize novel mechanisms of transcriptional regulation in A. thaliana. When I’m not doing science, my free time is devoted to movies, reading and traveling.
Emily Fryer (Research Assistant)
I received my B.S. in Biology concentrating in Ecology, along with a minor in Computing from San Francisco State University in Fall 2018. During my undergrad I was a member of the CoDE (Coding to Understand Disease Evolution) lab where I was introduced to the principles of population genetics and computational biology. My research focused on utilizing computational methods to understand the fitness costs associated with drug resistance mutations in HIV. In addition I've had the opportunity to dabble in front-end web development, data mining and topic modeling to understand sentiment on social media. My passions have always been rooted in the world of plants, their ecology and coevolution with other organisms. I am excited to be a member of the Rhee lab where I will apply computational methods to understanding metabolic processes in plants. My ultimate goal is to pursue a PhD and am interested in understanding the effect of varying ploidy levels on evolution. In my spare time I enjoy hiking, baseball, cooking and grazing my way through the culinary savanna of the the Bay Area.
Sujay Guha (Visiting Scholar)
Charles Hawkins (Biocurator)
I received my Ph.D. from U. Maryland under Dr. Zhongchi Liu, where I studied the ways in which gene expression and hormones come together to shape the parts of the flower and worked on a new model of the role of auxin in fruit development. I also worked on pipelines for genomic analysis in strawberry and identified the mutation behind yellow strawberries’ color. I previously received a BA in physics and computer science from U. Maryland. After receiving my Ph.D., I worked for two years as a postdoc at the USDA-ARS Plant Germplasm Introduction and Testing Research Unit in Prosser, WA under Dr. Long-Xi Yu, working on automated pipelines for genomic selection for abiotic stress tolerance in alfalfa. I joined Rhee lab in August of 2018 as BioCurator of the Plant Metabolic Network. I am currently working to curate the PlantCyc database, to improve the accuracy and capabilities of our prediction pipelines, and to make the pipelines more automated. Building tools and resources that people use to do cool science is a passion of mine. Outside of work, I enjoy baking, electronics, programming, and going for walks.
Suryatapa Ghosh Jha (Postdoctoral Associate)
I received a Ph.D. from the U. Vermont. I am broadly interested in knowing about the cellular pathways that regulate plant growth and function, how they evolved, and the molecular mechanisms behind them. My long-term goal is to understand how plants can help us fulfill the need of sustainable agriculture and sustenance of an expanding biosphere. To proceed towards that goal, one of the first steps is to understand the workings of plant cells in more detail, in order to reveal the mechanisms of cell development and how it translates to the development of the whole organism. I am excited to join the Carnegie Institution and will be working as a part of a team to develop a plant cell atlas, which will delineate the subcellular localization and functional networks of cellular proteins and their pathways. Outside of lab, I like to spend my time reading, painting, and trying out new recipes.
Benjamin Jin (Laboratory Assistant)
I graduated in the spring of 2017 from Stanford with a bachelor's degree in biology and a minor in feminist, gender, and sexuality studies. I also completed an honors thesis in the Gordon Li lab of neurosurgery at the Stanford Medical School, investigating kinase regulation of the tumorigenic c-myc pathway within medulloblastoma cell lines. This experience, alongside internships at Gilead Sciences and some light thinking about feminist/queer ecology, ultimately lead me to pursue work in the plant/ecological sciences, and so I joined the Rhee lab in November 2017. I firmly believe that we currently ought to prioritize learning information about and expending scientific labor upon how the non-human organisms of this world (such as Arabidopsis) operate and how we can better coexist with them, and thus feel very privileged to be working at an institute and lab that studies all of this! Alongside labwork, biology, and feminist/queer studies, I enjoy tinkering on the piano, writing & reading & doodling, driving and/or commuting, and listening to the whole spectrum of words and thoughts that others have to share.
Elena Lazarus (Research Assistant)
Fan Lin (Postdoctoral Associate)
I received my PhD degree from the University of Oklahoma with a focus on cell wall biology and cellulosic biofuel. I analyzed large-scale data such transcriptomic and proteomic data to identify candidate cell wall genes that are important for grass development and biomass quality. I joined Sue Rhee’s lab in Sep 2017 and currently working on developing a machine-learning algorithm to prioritize causal genes in Quantitative Trait Loci (QTL). Tradition methods to identify causal genes are time-consuming and labor-intensive, e.g. fine mapping. This algorithm utilizes publically available genomics and functional genomics data to predict which QTL genes are more likely to be causal, which will accelerate the discovery of novel functional genes that determine agronomic traits such as biomass yield. I live a simply life and enjoy biking, reading, and writing.
Karine Prado (Postdoctoral Fellow)
I received my PhD from the University of Montpellier (France) where I studied the molecular and cellular mechanisms controlling the hydraulic properties of Arabidopsis thaliana rosette in response to environmental stresses. Then I joined the University of Edinburgh (UK) as a postdoctoral research associate. I studied the contribution of non-transcriptional mechanisms to biological timekeeping of the pico-alga Ostreococcus tauri that has become a new relevant model for plant Systems Biology. Then I studied how light and thermo-sensitive phytochrome photoreceptors regulate chloroplast RNA processing and photosynthesis.

At the Carnegie Institution, I am going to study mechanisms of thermoadaptation of a desert extremophile C4 plant. The long term goal of this project is to improve crops and to address relevant challenges in response to worldwide climate changes.

When I am not working in lab, I like hiking, dancing, swimming, reading and watching movies.
Kevin Radja (Research Assistant)
I graduated in 2018 from Arizona State University with a bachelors in biomedical engineering focusing on computer science. I was introduced to bioinformatics as a summer intern at Carnegie where I did data manipulation and visualizations of phage metagenomic data as well as creating an interactive webpage comparing the alignment of cyanophages. The following summer I worked as a bioinformatics intern at a startup called EpiBiome. I built a pipeline to determine if phages were present within metagenomic samples using genome assembly. I joined the Rhee lab in June of 2018 to aid in developing a pipeline that uses machine learning to predict plant metabolism functions. I wanted to expand my knowledge of bioinformatics to later pursue higher education. Outside of work, I teach and train for competitions in a martial art called Taekwondo. I love to eat foods from around the world and then learn how to cook them myself.
Angela Xu (Research Assistant)
I graduated Spring 2018 from UCSB’s College of Creative Studies with a bachelor’s in biology and a minor in statistical sciences. I got my first start with scientific research in the Trkola lab at University of Zurich where I examined the cell stoichiometry of HIV-1 entry for a summer. I was introduced to bioinformatics when I joined the Valentine lab at UCSB where I scripted an automated way to construct phylogenetic trees. I joined the Rhee lab June 2018 as a curator assistant where I’m excited to learn more about plant enzymes while figuring out what specific field I will pursue for a doctorate in the future. Other than science, I also enjoy painting and writing Chinese calligraphy during my free time.
Bo Xue (Research Assistant)
Jiun Yen (Postdoctoral Associate)
I received my Ph.D. in Biological Systems Engineering from Virginia Tech in April of 2017. I was trained in both computational and experimental biology in graduate school. My focus was on utilizing genome-scale models to generate metabolic engineering strategies and model plant metabolism in Arabidopsis. I wrote a MATLAB software package, called Node-Reward-Optimization toolbox (NR-Opt), to quickly design concise and accurate metabolic engineering strategies to obtain the desired metabolic phenotypes. I also demonstrated how genome-scale models can be used to simulate the relationship between starch metabolism and growth in wild-type and transgenic Arabidopsis, and validated the model predictions experimentally. I joined the Rhee lab in October of 2017 to develop a pipeline that leverages state-of-the-art machine learning algorithms to predict transporter class and substrate specificity using only sequence data. I moved to the US from Taiwan when I was little. I like to cook. Very carnivorous! I like chocolate and unproductive philosophical conversations that ends with "we're all just trying to survive." Besides human, my favorite animal is a whale shark because it is huge but it eats the smallest things and it is a shark and you can swim next to it without fear and I'm a still a kid inside.
Cheng Zhao (Postdoctoral Associate)
I got my P.hD. degree from Texas A&M University. My P.hD research focused on developing metabolic engineering strategies for terpene production in photosynthetic systems. In August 2018, I joined Dr. Rhee's group to develop metabolic network models to guide metabolic engineering efforts and agriculture applications for higher biomass yield under drought using sorghum and Setaria. In my spare time, I like playing ping-pong and basketball.
Kangmei Zhao (Postdoctoral Associate)
I got my Ph. D from The University of Oklahoma and joined the Rhee lab in July, 2016. During my graduate study, I worked on the characterization of novel cell wall associated transcription factors in grasses, especially focusing on members that can control grass-specific cell wall biosynthesis genes. Then, I got to be really interested in further understanding pathway evolution and plants adaptation to the environment. After the graduate training with Dr. Laura Bartley, I decided to join the Rhee lab. I really enjoy the multidisciplinary research environment. Currently, I am working on the regulation and evolution of plant specialized metabolic genes as well as discovering novel secondary metabolites that could potentially promote plants resistance to different stress stimuli. Outside of research, I love reading and running.

Publications

Selected recent references

Papers from our group are highly cited with a current h-Index (as of July 2019) of 49 on Google Scholar (See ciation page). Some of our papers are listed below.

Schlapfer P, Zhang P, Chuan W, Kim T, Chae L, Dreher K, Nilo-Poyanco R, Arvind Chavali, and Rhee SY (2017) Genome-wide prediction of metabolic enzymes, pathways, and gene clusters in plants. Plant Physiology 173(4):2041-2059. [pdf][correction]
Bossi F, Fan J, Xiao J, Chandra L, Shen M, Dorone Y, Wagner D, and Rhee SY (2017) Systematic discovery of novel eukaryotic transcriptional regulators using sequence homology independent prediction. BMC Genomics 18(1):480 [pdf]
Guo J, Fan J, Hauser B, and Rhee SY. (2015) Target Enrichment Improves Mapping of Complex Traits by Deep Sequencing. Genes|Genomes|Genetics 6(1):67-77. [pdf]
Chae L, Kim T, Dreher K, and Rhee SY. Genomic signatures of specialized metabolism in plants. (2014) Science 344:510-513. [pdf] [supplemental info]
Jones AM, Xuan Y, Xu M, Wang R-S, Ho C-H, Lalonde S, You CH, Sardi MI, Parsa SA, Smith-Valle E, Su T, Frazer KA, Pilot G, Pratelli R, Grossmann G, Acharya BR, Hu HC, Engineer C, Villiers F, Ju C, Takeda K, Su Z, Dong Q, Assmann SM, Chen J, Kwak JM, Schroeder JI, Albert R, Rhee SY, Frommer WB (2014) Border control – a membrane-linked interactome of Arabidopsis. (2014) Science 344:711-716. [pdf] [supplemental info]

Selected recent reviews and perspectives

Rhee SY, Birnbaum KD, Ehrhardt DW (2019) Towards Building a Plant Cell Atlas. Trends in Plant Science. DOI: https://doi.org/10.1016/j.tplants.2019.01.006
Rouchard H and Rhee SY (2017) System-level understanding of plant mineral nutrition in the big data era. Current Opinion in Systems Biology 4:71-77. [pdf]
Friesner et al. (2017) The Next Generation of Training for Arabidopsis Researchers: Bioinformatics and Quantitative Biology. Plant Physiology 175(4):1499-1509. [pdf]
Xu M and Rhee SY (2014) Becoming data-savvy in a big data world. Trends in Plant Science 19(10):619-22. [pdf]
Rhee SY and Mutwil M (2014) Towards revealing the functions of all genes in plants. Trends in Plant Science 19(4):212-221. [pdf]

***ALL PEER REVIEWED PUBLICATIONS (* corresponding author)***

Zhao K and Rhee SY* (2019) Epigenomic Landscape of Arabidopsis thaliana Metabolism Reveals Bivalent Chromatin on Specialized Metabolic Genes. bioRxiv 589036; doi: https://doi.org/10.1101/589036

Bouain N, Korte A, Satbhai SB, Rhee SY, Busch W, Rouached H* (2019) Systems approaches provide new insights into Arabidopsis thaliana root growth under mineral nutrient limitation. bioRxiv 460360; doi: https://doi.org/10.1101/460360 PLOS Genetics Accepted

Rhee SY*, Birnbaum KD, Ehrhardt DW* (2019) Towards Building a Plant Cell Atlas. Trends in Plant Science 24(4):303-310

Banf M*, Zhao K, Rhee SY* (2019) METACLUSTER - an R package for context-specific functionality analysis of metabolic gene clusters. Bioinformatics btz021, https://doi.org/10.1093/bioinformatics/btz021

Lin F, Fan J, Rhee SY* (2019) QTG-Finder: a machine-learning algorithm to prioritize causal genes of quantitative trait loci in plants bioRxiv 484204; doi: https://doi.org/10.1101/484204 Genes|Genomes|Genetics Accepted

Friesner J, Assmann SM, Bastow R, Bailey-Serres J, Beynon J, Brendel V, Buell CR, Bucksch A, Busch W, Demura T, Dinneny JR, Doherty CJ, Eveland AL, Falter-Braun P, Gehan MA, Gonzales M, Grotewold E, Gutierrez R, Kramer U, Krouk G, Ma S, Markelz RJC, Megraw M, Meyers BC, Murray JAH, Provart NJ, Rhee SY, Smith R, Spalding EP, Taylor C, Teal TK, Torii KU, Town C, Vaughn M, Vierstra R, Ware D, Wilkins O, Williams C, Brady SM (2017) The Next Generation of Training for Arabidopsis Researchers: Bioinformatics and Quantitative Biology. Plant Physiol. 175(4):1499-1509. doi: 10.1104/pp.17.01490. PubMed PMID: 29208732; PubMed Central PMCID: PMC5717721.

Bossi F, Fan J, Xiao J, Chandra L, Shen M, Dorone Y, Wagner D, Rhee SY* (2017) Systematic discovery of novel eukaryotic transcriptional regulators using sequence homology independent prediction. BMC Genomics 18(1):480

Rouchard H* and Rhee SY* (2017) System-level understanding of plant mineral nutrition in the big data era. Current Opinion in Systems Biology 4:71-77

Schalpfer P, Zhang P, Chuan W, Kim T, Banf M, Chae L, Dreher K, Arvind C, Nilo-Poyanco R, Bernard T, Kahn D, and Rhee SY* (2017) Genome-wide prediction of metabolic enzymes, pathways, and gene clusters in plants. Plant Physiology 173(4):2041-2059

Chavali A* and Rhee SY* (2017) Bioinformatics tools for the identification of gene clusters that biosynthesize specialized metabolites. Briefings in Bioinformatics. bbx020. doi: 10.1093/bib/bbx020

Banf M and Rhee SY* (2017) Enhancing gene regulatory network inference through data integration with markov random fields. Nature Scientific Reports 7:41174.

Banf M* and Rhee SY* (2016) Computational inference of gene regulatory networks: approaches, limitations and opportunities. BBA Gene Regulatory Mechanisms S1874-9399(16)30188-2.

Walsh JR, Schaeffer ML, Zhang, Rhee SY, Dickerson JA, Sen TZ* (2016) The quality of metabolic pathway resources depends on initial enzymatic function assignments: a case for maize. BMC Systems Biology 10:129.

Zheng Y, Jiao C, Sun H, Rosli HG, Pombo MA, Zhang P, Banf M, Dai X, Martin GB, Giovannoni JJ, Zhao PX, Rhee SY, Fei Z* (2016) iTAK: a program for genome-wide prediction and classification of plant transcription factors, transcriptional regulators, and protein kinases. Molecular Plant S1674-2052(16)30223-4.

Rhee SY*, Parker J, and Mockler T (2016) A glimpse into the future of genome-enabled plant biology from the shores of Cold Spring Harbor. Genome Biology 17(1):3.

Fiume E, de Klein N, Rhee SY, and Magnani E* (2015) A framework for discovering, designing, and testing microProteins to regulate synthetic transcriptional modules. Methods in Molecular Biology 1482:175-88.

Guo J, Fan J, Hauser B, and Rhee SY* (2015) Target enrichment improves mapping of complex traits by deep sequencing. Genes | Genomes | Genetics 6(1):67-77.

Ladics G*, Bartholomaeus A, Bregitzer P, Doerrer N, Gray A, Holzhauser T, Jordan M, Keese P, Kok E, Macdonald P, Parrott W, Privalle L, Raybould A, Rhee SY, Rice E, Romeis J, Vaughn J, Wal J-M, and Glenn K (2015) Genetic basis and detection of unintended effects in genetically modified crop plants. Transgenic Research 24(4):587-603.

Kim T, He K, Dreher K, Lee I, Moon S, Bais P, Dickerson J, Dixon P, Fiehn O, Lange BM, Sumner LW, Welti R, Wurtele ES, Nikolau BJ, and Rhee SY* (2015) Patterns of metabolite changes from large-scale gene perturbations in Arabidopsis thaliana using genome-scale metabolic networks. Plant Physiology 167(4):1685-98.

de Klein N, Magnani E, and Rhee SY* microProtein Prediction Program (miP3): a software for predicting microProteins and their target transcription factors. (2015) International Journal of Genomics Article ID 734147. 1-4.

Peng J, Uygun S, Kim T, Wang Y*, Rhee SY*, and Chen J* (2015) Measuring genome-specific semantic similarities using Gene Ontology and Gene Co-Function networks. BMC Bioinformatics 16(1):44.

Xu M and Rhee SY* (2014) Becoming data-savvy in a big-data world. Trends in Plant Science 19(10):619–622.

Jones AM, Xuan Y, Xu M, Wang R-S, Ho C-H, Lalonde S, You CH, Sardi MI, Parsa SA, Smith-Valle E, Su T, Frazer KA, Pilot G, Pratelli R, Grossmann G, Acharya BR, Hu HC, Engineer C, Villiers F, Ju C, Takeda K, Su Z, Dong Q, Assmann SM, Chen J, Kwak JM, Schroeder JI, Albert R, Rhee SY*, and Frommer WB* (2014) Border control – a membrane-linked interactome of Arabidopsis. Science 344:711-716. [highlighted in F1000]

Chae L, Kim T, Nilo-Poyanco R, and Rhee SY* Genomic signatures of specialized metabolism in plants. (2014) Science 344:510-513. [highlighted in F1000]

Magnani E, De Klein N, Nam H-I, Kim J-G, Pham KL, Fiume E, Mudgett MB, and Rhee SY* (2014) A comprehensive analysis of microProteins reveals their potentially widespread mechanism of transcriptional regulation. Plant Physiology 165(1):149-159.

Rhee SY* and Mutwil M* (2014) Towards revealing the functions of all genes in plants. Trends in Plant Science 19(4):212-221.

Bassel GW, Gaudinier A, Brady SM, Hennig L, Rhee SY, and Smet ID* (2012) Systems analysis of plant functional, transcriptional, physical interaction, and metabolic networks. Plant Cell 24(10):3859-75.

Chen J, Lalonde S, Obrdlik P, Noorani Vatani A, Parsa SA, Vilariño C, Revuelta JL, Frommer WB, and Rhee SY* (2012) Uncovering Arabidopsis membrane protein interactome enriched in transporters using mating-based split ubiquitin assays and classification models. Frontiers in Plant Science 3(124):1-14.

Moon S, He Kun, Bais P, Dickerson J, Dixon P, Rhee SY, Wohlgemuth G, Fiehn O, Barkan L, Lange I, Lange B, Cortes D, Shuman J, Shulaev V, Huhman D, Sumner L, Roth M, Welti R, Ilarslan H, Wurtele E, Brachova L, Campbell A, Perera A, and Nikolau B* (2012) Metabolomics as a hypothesis-generating functional genomics tool for the annotation of Arabidopsis thaliana genes of “unknown function”. Frontiers in Plant Science 3(15):1-12.

Chae L, Lee I, Shin J, and Rhee SY* (2012) Towards an understanding of how molecular networks evolve in plants. Current Opinion in Plant Biology 15(2):177-184.

Hwang S, Rhee SY*, Marcotte EM*, and Lee I* (2011) Systematic prediction of gene function using a probabilistic functional gene network for Arabidopsis thaliana. Nature Protocols 6(9):1429-1442.

Sun Y, Fan X-Y, Cao D-M, He K, Tang W, Zhu J-Y, He J-X, Bai M-Y, Zhu S, Oh E, Patil S, Kim TW, Ji H, Wong WH, Rhee SY, and Wang J-Y* (2010) Integration of Brassinosteroid Signal Transduction with the Transcription Network for Plant Growth Regulation in Arabidopsis. Developmental Cell 19(5):765-77.

Lalonde S, Sero A, Pratelli R, Pilot G, Chen J, Sardi MA, Parsa SA, Kim D-Y, Acharya BR, Stein EV, Hu H-C, Villiers F, Takeda K, Yang Y, Han YS, Schwacke R, Chiang W, Kato N, Loqué D, Assmann SM, Kwak JM, Schroeder J, Rhee SY, and Frommer WB* (2010) A membrane protein / signaling protein interaction network for Arabidopsis version AMPv2. Frontiers in Plant Science 1(24):1-14.

Zhang P, Dreher K, Karthikeyan A, Chi A, Pujar A, Caspi R, Karp P, Kirkup V, Latendresse M, Lee C, Mueller LA, Muller R, and Rhee SY* (2010) Creation of a Genome-Wide Metabolic Pathway Database for Populus trichocarpa Using a New Approach for Reconstruction and Curation of Metabolic Pathways for Plants. Plant Physiology 153(4):1479-91.

Bais P, Moon S, He K, Leitao R, Dreher K, Walk T, Sucaet Y, Barkan L, Wohlgemuth G, Wurtele ES, Dixon P, Fiehn O, Lange BM, Shulaev V, Sumner LW, Welti R, Nikolau B, Rhee SY, and Dickerson JA* (2010) PlantMetabolomics.org: A web portal for Plant Metabolomics Experiments. Plant Physiology 152(4):1807-16.

Lee I, Ambaru B, Thakkar P, Marcotte E*, and Rhee SY* (2010) Rational association of genes with traits using a genome-scale gene network for Arabidopsis thaliana. Nature Biotechnology 2(28):149-156. [highlighted in F1000]

Reference Genome Group of the Gene Ontology Consortium (2009) The Gene Ontology's Reference Genome Project: a unified framework for functional annotation across species. PLOS Computational Biology 5(7): e1000431.

Chen J, Ji L, Hsu W, Tan K-L, and Rhee SY* (2009) Exploiting Domain Knowledge to Improve Biological Significance of Biclusters with Key Missing Genes. IEEE Technical Committee on Data Engineering Conference ICED.2009.205: 1219-1222.

Aceituno FF, Moseyko N, Rhee SY, and Gutierrez RA* (2008) The rules of gene expression in plants: Organ identity and gene body methylation are key factors for regulation of gene expression in Arabidopsis thaliana. BMC Genomics 9:438.

Howe D*, Costanzo M, Fey P, Gojobori T, Hannick L, Hide W, Hill DP, Kania R, Schaeffer M, St. Pierre S, Twigger S, White O, and Rhee SY* (2008) The future of biocuration. Nature 455:47-50.

Rhee SY*, Wood V, Dolinski K, and Draghici S* (2008) Use and Misuse of the Gene Ontology (GO) Annotations. Nature Review Genetics 9(7):509-15.

Pennycooke JC, Cheng H, Roberts SM, Yang Q, Rhee SY, and Stockinger E* (2008) The low temperature-responsive, Solanum CBF1 genes maintain high identity in their upstream regions in a genomic environment undergoing gene duplications, deletions, and rearrangements. Plant Molecular Biology 67(5):483-97.

Lalonde S*, Ehrhardt D, Loqué D, Chen J, Rhee SY, and Frommer WB (2008) Molecular and cellular approaches for the detection of protein-protein interactions and generation of protein interaction maps. Plant Journal 53(4):610-35.

Avraham S, Tung C-W, Ilic K, Jaiswal P, Kellogg EA, McCouch S, Pujar A, Reiser L, Rhee SY, Sachs MM, Schaeffer M, Stein L, Stevens P, Vincent L, Zapata F, and Ware D* (2008) The Plant Ontology Database: a community resource for plant structure and developmental stages controlled vocabulary and annotations. Nucleic Acids Research 36:D449-D454.

Fiehn O*, Sumner LW, Rhee SY, Ward J, Dickerson J, Lange BM, Lane G, Roessner U, Last R, and Nikolau B (2007) Minimum reporting standards for plant biology context information in metabolomic studies. Metabolomics 3(3):195-201.

Caspi R, Foerster H, Fulcher CA, Kaipa P, Krummenacker M, Latendresse M, Paley S, Rhee SY, Shearer AG, Tissier C, Walk TC, Zhang P, and Karp PD* (2008) The MetaCyc Database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases. Nucleic Acids Research 38(Database issue):D473-9.

The Gene Ontology Consortium (2008) The Gene Ontology project in 2008. Nucleic Acids Research 36(Database issue):D440-4.

Ilic K, Kellogg E, Jaiswal P, Zapata F, Stevens P, Vincent L, Pujar A, Avraham S, Reiser L, McCouch SR, Sachs S, Schaeffer M, Ware D, Stein L, and Rhee SY* (2006) Plant Structure Ontology: A Unified Vocabulary for Flowering Plants. Plant Physiology 143(2):587-99.

Stein LD, Beavis WD, Gessler DD, Huala E, Lawrence CJ, Main D, Mueller LA, Rhee SY, and Rokhsar DS* (2006) Save our data! Scientist 20(4):24-25.

Pujar A, Jaiswal P, Kellogg EA, Ilic K, Vincent L, Avraham S, Stevens P, Zapata F, Reiser R, Rhee SY, Sachs MM, Schaeffer M, Stein L, Ware D, and McCouch S* (2006) Whole Plant Growth Stage Ontology: History, Development and Application. Plant Physiology 142(2):414-28.

Leebens-Mack J*, Vision T, Brenner E, Bowers JE, Cannon S, Clement MJ, Cunningham CW, dePamphilis C, deSalle R, Doyle JJ, Eisen JA, Gu X, Harshman J, Kellogg EA, Koonin EV, Philippe H, Pires JC, Qiu YL, Rhee SY, Sjölander K, Soltis DE, Soltis PS, Stevens P, Stevenson DW, Warnow T, and Zmasek C. (2006) Taking the First Steps Towards a Standard for Reporting on Phylogenies: Minimal Information About a Phylogenetic Analysis (MIAPA). OMICS 10(2):231-237.

Rhee SY*, Dickerson J*, and Xu D* (2006) Bioinformatics and its Applications in Plant Biology. Annual Review of Plant Biology 57: 335-360.

Zimmermann P*, Schildknecht B, Craigon D, Garcia-Hernandez M, Gruissem W, May S, Mukherjee G, Parkinson H, Rhee SY, Wagner U, and Hennig L. (2006) MIAME/Plant – adding value to plant microarrray experiments. Plant Methods 2:1-3.

Gene Ontology Consortium (2006) The Gene Ontology Project in 2006. Nucleic Acids Research 34(Database issue):D322-6.

Caspi R, Foerster H, Fulcher C, Hopkinson R, Ingraham J, Kaipa P, Krummenacker M, Paley S, Pick J, Rhee SY, Tissier C, Zhang P, and Karp P* (2006) MetaCyc: A multiorganism database of metabolic pathways and enzymes. Nucleic Acids Research 34(Database issue):D511-6.

Li S, Ehrhardt D, and Rhee SY* (2006) Systematic Analysis of Arabidopsis Protein Localization and Software Tools for Fluorescent Tagging of Full-Length Arabidopsis Proteins. Plant Physiology 141(2):527-39. [highlighted in F1000]

Jaiswal P*, Avraham S, Ilic K, Kellogg EA, McCouch S, Pujar A, Reiser L, Rhee SY, Sachs MM, Schaeffer M, Stein L, Stevens P, Vincent L, Ware D, and Zapata F. (2005) Plant Ontology (PO): A controlled vocabulary of plant structures and growth stages. Functional and Integrated Genomics 6:388-397.

Rhee SY* (2005) Bioinformatics: Current Limitations and Insights for the Future. Plant Physiology 138(2):569-70.

Yan T, Yoo D, Berardini T, Mueller L, Weems D, Weng S, Cherry JM, and Rhee SY* (2005) PatMatch: a program for finding patterns in peptide and nucleotide sequences. Nucleic Acids Research 33(Web Server issue):W262-6.

Zhang P, Foerster H, Tissier CP, Mueller L, Paley S, Karp P, and Rhee SY* (2005) MetaCyc and AraCyc: metabolic pathway databases for plant research. Plant Physiology 138(1):27-37.

Bard J, Rhee SY, and Ashburner M* (2005) An ontology for cell types. Genome Biology 6:R21.

Schlueter SD, Wilkerson MD, Huala E, Rhee SY, and Brendel V* (2005) Community-based gene structure annotation. Trends in Plant Science 10(1):9-14.

Jenkins H*, Hardy N, Beckmann M, Draper J, Smith AR, Taylor J, Fiehn O, Goodacre R, Bino RJ, Hall R, Kopka K, Lange BM, Liu JR, Mendes P, Nikolau BJ, Oliver SG, Paton NW, Rhee SY, Roessner-Tunali U, Saito K, Smedsgaard J, Sumner LW, Wurtele ES, and Kell DB (2004) A proposed framework for the description of plant metabolomics experiments and their results. Nature Biotechnology 22(12):1601-6.

Zhang X, Fowler S, Cheng H, Lou Y, Rhee SY, Stockinger EJ, and Thomashow MF* (2004) Freezing Sensitive Tomato has a Functional CBF Cold Response Pathway, but a CBF Regulon that Differs from that of Freezing Tolerant Arabidopsis. Plant Journal 39(6):905-19.

Berardini TZ, Mundodi S, Reiser R, Huala E, Garcia-Hernandez M, Zhang P, Mueller LM, Yoon J, Doyle A, Lander G, Moseyko N, Yoo D, Xu I, Zoeckler B, Montoya M, Miller N, Weems D, and Rhee SY* (2004) Functional annotation of the Arabidopsis genome using controlled vocabularies. Plant Physiology 135(2):1-11.

Tian GW, Mohanty A, Chary SN, Li S, Paap B, Drakakis G, Kopec C, Li J, Ehrhardt E, Jackson D, Rhee SY, Raikhel N, and Citovsky V* (2004) High-Throughput Fluorescent Tagging of Full-Length Arabidopsis Gene Products in Planta. Plant Physiology 135(1):25-38. [highlighted in F1000]

Dolan EL, Soots BE, Lemaux PG, Rhee SY, and Reiser L* (2004) Strategies to Avoid Reinventing the Pre-college Education and Outreach Wheel. Genetics 166:1601-1609.

Weems D, Miller N, Garcia-Hernanzez M, Huala E, and Rhee SY* (2004) Design, implementation, and maintenance of a model organism database for Arabidopsis thaliana. Comparative and Functional Genomics 5(4):362-369.

Thimm O, Bläsing YG, Nagel, A, Meyer, S, Kruger, P, Selbig, J, Müller, L, Rhee, SY, and Stitt M* (2004) MapMan: A User-Driven Tool to Display Genomics Data Sets onto Diagrams of Metabolic Pathways and other Biological Processes. Plant Journal 37(6):914-39. [highlighted in F1000]

Bard JL* and Rhee SY* (2004) Ontologies in biology: design, applications and future challenges. Nature Review Genetics 5(3):213-22.

Rhee SY* (2004) Carpe Diem. Retooling the Publish or Perish Model into the Share and Survive Model. Plant Physiology 134(2):543-7.

Krieger CJ, Zhang P, Mueller L, Wang A, Paley S, Arnaud M, Pick J, Rhee SY, and Karp P* (2004) MetaCyc: Recent enhancements to a database of metabolic pathways and enzymes in microorganisms and plants. Nucleic Acids Research 32 Database issue:D438-42.

Harris MA*, Clark J, Ireland A, Lomax J, Ashburner M, Foulger R, Eilbeck K, Lewis S, Marshall B, Mungall C, Richter J, Rubin GM, Blake JA, Bult C, Dolan M, Drabkin H, Eppig JT, Hill DP, Ni L, Ringwald M, Balakrishnan R, Cherry JM, Christie KR, Costanzo MC, Dwight SS, Engel S, Fisk DG, Hirschman JE, Hong EL, Nash RS, Sethuraman A, Theesfeld CL, Botstein D, Dolinski K, Feierbach B, Berardini T, Mundodi S, Rhee SY, Apweiler R, Barrell D, Camon E, Dimmer E, Lee V, Chisholm R, Gaudet P, Kibbe W, Kishore R, Schwarz EM, Sternberg P, Gwinn M, Hannick L, Wortman J, Berriman M, Wood V, de la Cruz N, Tonellato P, Jaiswal P, Seigfried T, and White R; Gene Ontology Consortium. (2004) The Gene Ontology (GO) database and informatics resource. Nucleic Acids Research 32 Database issue:D258-61.

Rhee SY, Osborne E, Poindexter P, and Somerville CR* (2003) Microspore separation in the quartet 3 mutants of Arabidopsis is impaired by a defect in a developmentally regulated pectinase required for pollen mother cell degradation. Plant Physiology 133(3):1170-80.

Mueller LA, Zhang P, and Rhee SY* (2003) AraCyc. A Biochemical Pathway Database for Arabidopsis. Plant Physiology 132(2):453-60.

Rhee SY*, Beavis W, Berardini TZ, Chen G, Dixon D, Doyle A, Garcia-Hernandez M, Huala E, Lander G, Montoya M, Miller N, Mueller LA, Mundodi S, Reiser L, Tacklind J, Weems DC, Wu Y, Xu I, Yoo D, Yoon J, and Zhang P (2003) The Arabidopsis Information Resource (TAIR): a model organism database providing a centralized, curated gateway to Arabidopsis biology, research materials and community. Nucleic Acids Research 31(1):224-228.

Clarke BC, Lambrecht M, and Rhee SY* (2003) Arabidopsis genomic information for interpreting wheat EST sequences. Functional and Integrated Genomics 3(1):33-38.

Garcia-Hernandez M*, Berardini TZ, Chen C, Crist D, Doyle A, Huala E, Knee E, Miller N, Mueller L, Mundodi S, Reiser L, Rhee SY, Scholl R, Tacklind J, Weems D, Wu Y, Xu I, Yoo D, Yoon J, and Zhang P (2002) Functional and Integrated Genomics 2(6):239-253.

Reiser L, Mueller LA, and Rhee SY* (2002) Surviving in a sea of data: a survey of plant genome data resources and issues in building data management systems. Plant Molecular Biology 48(1):59-74.

The Gene Ontology Consortium (2001) Creating the Gene Ontology Resource: Design and Implementation. Genome Research 11(8):1425-1433.

Huala E*, Dickerman A, Garcia-Hernandez M, Weems D, Reiser L, LaFond F, Hanley D, Kiphart D, Zhuang J, Huang W, Mueller L, Bhattacharyya D, Bhaya D, Sobral B, Beavis B, Somerville C, and Rhee SY* (2001) The Arabidopsis Information Resource (TAIR): A comprehensive database and web-based information retrieval, analysis, and visualization system for a model plant. Nucleic Acids Research 29(1):102-5.

Rhee SY* (2000) Bioinformatic resources, challenges, and opportunities using Arabidopsis thaliana as a model organism in post-genomic era. Plant Physiology 2000 124(4):1460-4.

Rhee SY, Weng S, Bongard-Pierce DK, Garcia-Hernandez M, Malekian A, Flanders, DJ, and Cherry JM* (1999) Unified display of Arabidopsis thaliana physical maps from AtDB, the A. thaliana database. Nucleic Acids Research 27(1):79-84.

Rhee SY, Weng S, Flanders D, Cherry JM, Dean C, Lister C, Anderson M, Koornneef M, Meinke DW, Nickle T, Smith K, and Rounsley SD (1998) Genome maps 9. Arabidopsis thaliana. Wall chart. Science 282(5389):663-7.

Rhee SY and Somerville CR* (1998) Tetrad pollen formation in quartet mutants of Arabidopsis thaliana is associated with persistence of pectic polysaccharides of the pollen mother cell wall. Plant Journal 15:79-88.

Rhee SY and Somerville CR* (1994) Flat-Surface Grafting in Arabidopsis thaliana. Plant Molecular Biology Reporter 13:118-123.

Preuss D*, Rhee SY, Davis RW (1994) Tetrad analysis possible in Arabidopsis with mutation of the QUARTET (QRT) genes. Science 264:1458-60.

Ruan ZS, Anantharam V, Crawford IT, Ambudkar SV, Rhee SY, Allison MJ, and Maloney PC* (1992) Identification, purification, and reconstitution of OxlT, the oxalate: formate antiport protein of Oxalobacter formigenes. Journal of Biological Chemistry 267:10537-43.

Book chapters and other publications

Rhee SY (2014) An interview with Seung Yon (Sue) Rhee. Trends in Plant Science 19(4):198-199.

Ilic K, Stevens PF, Kellogg EA, and Rhee SY (2008) Plant Structure Ontology –anatomical ontology of flowering plants. In: Anatomy Ontologies for Bioinformatics: Principles and Practice. A. Burger, D. Davidson and R. Baldock (Eds). Springer. 27-42. ISBN: 184628884.

Rhee SY and Crosby W. (2005) Biological Databases for Plant Research. Plant Physiology 138(1):1-3.

Yoo D, Xu I, Berardini T, Rhee SY, Narayanasami V, and Twigger S (2005) PubSearch and PubFetch, a simple management system for semi-automated retrieval and annotation of biological information from the literature. In Current Protocols in Bioinformatics. John Wiley & Sons. Chapter 9. Unit 9.7

Reiser L and Rhee SY (2005) Using The Arabidopsis Information Resource (TAIR) to Find Information About Arabidopsis Genes. In Current Protocols in Bioinformatics. John Wiley & Sons. Chapter 1.11.

Berardini TA and Rhee SY (2004) Arabidopsis thaliana: Characteristics and Annotation of a Model Genome. In Encyclopedia of Plant & Crop Science. Marcel Dekker, Inc. 47-50.

Rhee SY, Zhang P, and Foerster H, and Tissier C (2005) AraCyc: Overview of an Arabidopsis Metabolism Database and Its Applications for Plant Research. In Biotechnology in Agriculture and Forestry: Plant Metabolomics. K. Saito, R. Dixon and L. Willmitzer ed., Springer. Volume 57. pp. 141-153.

Rhee SY (2001) Extending the Frontiers of Plant Biology: Large scale biology, bioinformatics, and information management. Plant Biotechnology Institute Bulletin May Issue:10-12.

Rhee SY and Flanders DJ (2000) Web-based bioinformatic tools for Arabidopsis researchers. In Arabidopsis: A Practical Approach. pp. 225-265. Zoe Wilson ed., Oxford University Press, UK.

POPULAR SCIENCE ESSAYS

Rhee SY (1997) Gregor Mendel (1822-1884). Commissioned and originally published on Genetech. Reprinted at Access Excellence, a national educational program that provides high school biology teacher’s access to their colleagues, scientists, and critical sources of new scientific information via the World Wide Web. Currently available at: http://www.cccbiotechnology.com/RC/AB/BC/Gregor_Mendel.php, http://www.math.usu.edu/rheal/stat1040/lecture_notes/Chapter_26.pdf, https://www.verslo.is/home/Raungreinar/lif/Itarefni/Erfdir/Gregor%20Mendel%28e%29.htm

Rhee SY (1997) Louis Pasteur (1822-1895). Commissioned and originally published on Genetech. Reprinted at Access Excellence, a national educational program that provides high school biology teacher’s access to their colleagues, scientists, and critical sources of new scientific information via the World Wide Web. Currently available at: http://www.cccbiotechnology.com/RC/AB/BC/Louis_Pasteur.php

Rhee SY (1997) Linus Pauling (1901-1994). Commissioned and originally published on Genetech. Reprinted at Access Excellence, a national educational program that provides high school biology teacher’s access to their colleagues, scientists, and critical sources of new scientific information via the World Wide Web. Currently available at: http://www.cccbiotechnology.com/RC/AB/BC/Linus_Pauling.php

Rhee SY (1997) Kary B. Mullis (1944 - ). Commissioned and originally published on Genetech. Reprinted at Access Excellence, a national educational program that provides high school biology teacher’s access to their colleagues, scientists, and critical sources of new scientific information via the World Wide Web. Currently available at: http://www.cccbiotechnology.com/RC/AB/BC/Kary_B_Mullis.php

Media

Websites

Databases and Bioinformatics Tools

AraNet
Gene Functional Associations
Gene Ontology Consortium
Ontologies
Plant Metabolic Network
Genome-scale databases of metabolic enzymes, compounds, and pathways in plants
The Arabidopsis Information Resource
Model Organism Database

Collaborative Projects

Associomics Consortium
Comprehensive membrane protein interactome of Arabidopsis thaliana
Genomes to Natural Products Network
Plant secondary metabolic pathway discovery using bioinformatics and synthetic biology
NeuroPlant
An interdisciplinary project to explore the relationship between plant secondary metabolites and animal neurological behavior
Plant Cell Atlas
A collaborative iniatiative to develop a comprehensive molecular map of plant cells
Setaria for Biofuels
Genetic architecture of drought tolerance in grasses

Software

This page lists and makes available the programs we have developed in our lab.

Title	Description	Software
E2P2 version 3.1	E2P2 version 3.1 fixes a couple of bugs [README]	E2P2V3.1
E2P2 version 3.0	E2P2 version 3.0 includes expanded reference enzyme sequence libraries updated versions of component software packages. Additional updates were made to improve prediction performance detailed more in the README file. [README]	E2P2V3.0
E2P2 version 2.1	E2P2 version 2.1 includes expanded reference enzyme sequence libraries and improved performance assessment and base classifier integration schemes. [README]	E2P2V2.1
SAVI version 3.02	Semi-Automated Validation Infrastructure version 3.02 processes predicted metabolic pathways using pathway meta data such as taxonomic distribution and key reactions and makes decisions about which pathways to keep, remove, and subject to manual validation. [README]	SAVIV3.02
PlantClusterFinder version 1.0	A pipeline to predict metabolic gene clusters from plant genomes [README]	PlantClusterFinder1.0
PlantClusterFinder version 1.2	An updated version of Plant Cluster Finder to handle species with complex GeneID to ProteinID mappings [README]	PlantClusterFinder1.2
PlantClusterFinder version 1.3	A major update with improved user friendliness and easier interpretation of results [README] [Release Notes]	PlantClusterFinder1.3
miP3 version 2	microProtein Prediction Program (miP3) version 2 predicts microProteins in a sequenced genome. It is more streamlined and simplified than version 1. [README]	miP3V2
GRACE	GRACE (Gene Regulatory network inference ACcuracy Enhancement) is an algorithm that enhances the accuracy of transcriptional gene regulatory networks by using a Markov Random Field approach. [README]	GRACE
QTG-Finder version 1.1	A machine learning algorithm to prioritize causal genes in quantitative trait loci. [README]	QTG-FinderV1.1

Join Us

We always look forward to adding new members to the team as openings become available.

Current Openings: Two bioinformatics postdoc positions available to create cellular views of plant metabolism and compartmentalized metabolic models of Sorghum and Brachypodium

Summer Internships: Undergraduate students are encouraged to apply for a summer internship in our lab. We tyipcally accept 2-3 interns each summer. A stipend of $6000 is available for an internship though the number of paid internships varies from year to year depending on funding availability. Due to space and mentor limitations, we cannot accept applications from high school students. Applications are typically accepted from Jan 1 until March 31. Appliants can send a cover letter and CV to Dr. Sue Rhee (srhee at carnegiescience.edu) Interviews are conducted as the applications come in and decisions are made on a first come first serve basis. Thereofre it is beneficial to apply sooner than later. If, for some reason, you missed the March 31 deadline but are very keen on applying, feel free to contact Dr. Sue Rhee. Accepted interns typically work full-time (8 hrs per day excluding lunch break) from June to August for 10-12 weeks. Each intern will be mentored by a postdoc, a grad student, a research assistant, or Dr. Sue Rhee, depending on the available project. Regardless of the mentor, the intern will meet with Dr. Sue Rhee once every 1-2 weeks. There are luch-time seminars from 2 plant faculty every Friday (pizza provided) for all the interns and a poster-session in Aug where the interns show off their work and the entire Carnegie and Stanford plant community is invited.

Expectations

Rhee Lab Policies and Expectations

Start your path to independence. You are expected to lead and ‘own’ your projects, whether you developed it from scratch, inherited from a former member, or assigned a problem when you start. Think hard and critically about the problem you develop to work on and understand why it is the most important problem to solve. No one, including me, will think as hard about your project as you. Your goal should be to be the world’s expert on what you are studying. I, and others, will throw ideas at you. You must make sure that those are ideas are sound before pursuing them at length. Depending on prior experience, this path to independence will take different amount of time to reach for different people. Learn to identify and solve problems on your own by using resources in the Web, asking labmates and colleagues near and far, or consulting me. I expect to see some degree of independence in all lab members within six months.
Communicate. I encourage you to talk with people around you as much as possible to get the most out of your research experience. Everyone in my lab collaborates with others (mostly other lab members but also members of other labs) and most of the collaborations are initiated by the trainee. Be open to others’ ideas and keep an open mind about different ways of looking at your results. Let me and your labmates know, constructively, if you think we are wrong about something scientifically. At the same time, don’t worry about saying the wrong thing. Everyone knows different things and has different strengths. It is fine to not know something. We are all here to help each other and maintain a rigorous, engaged scientific community. Constructive criticism is key to improving ourselves and helping others. Openness is also a secret to a great research environment. Don’t keep your data a secret within the lab. Openness in the lab comes with an understanding that it is privileged information that you should respect and keep confidential within the lab. Be generous with your ideas, your time, and your expertise. You learn the most by teaching others. Being a researcher is a privileged occupation and you must give back by helping others. I meet with most of my trainees weekly or biweekly. The meetings are an opportunity for you to discuss your progress, failures, and needs. Consider me as your pro bono consultant. It works best if you come prepared. Don’t expect me to remember all the details of your project and where our conversations ended last time. Start with the big picture (project management chart, overall project objectives, or the main problem at hand in the context of the big picture, etc.).
Be safe, courteous, respectful, helpful, proactive, grateful, and neat. You must be considerate and respectful of your labmates and colleagues. We want to have only good citizens in our lab. Always treat others how you would like to be treated. Strive to do more than your share to keep the research environment in safe, clean, working order. In the least, keep your own work bench and desk area clean and participate in lab chore responsibilities. Taking initiatives and being proactive are highly valued in our lab. If you notice something broken or not right, notify the appropriate person immediately (lab manager, facilities manager, safety officer, or me). Double your courteousness when you are borrowing others’ space or equipment. Unless you have been told otherwise, you should always ask to borrow a piece of equipment or reagent, even if you have used it before. No profanity, whether directed at oneself or others, is allowed. Always be grateful and courteous to each other and especially to the support staff.
Keep good records. If you haven’t written it down, you might as well not have done it. Be prepared to show me your data. Back-up your electronic data daily. Regularly enter verified constructs and seeds in the lab spreadsheet and other repositories. You agree to keep all lab data private and confidential unless we discuss making the data public or sharing with others. Document your software, scripts and pipelines thoroughly and keep them up to date. We often publish our codes online before publications and it is essential that the codes are fully debugged and well documented.
Don’t be afraid to fail. Science is full of failures. You will not be discouraged from or reprimanded for failing in this lab. Talk about your failures with others and let me know if something is taking longer than expected because the experiment, algorithm, or simulation didn’t work as expected. The most important thing is to not repeat the same mistakes and to learn from the failures. Think of every failure as an opportunity and come up with something positive.
Give credit where credit is due. Authorship will be based on established guidelines by the International Committee of Medical Journal Editors (http://www.icmje.org/recommendations/browse/roles-and-responsibilities/defining-the-role-of-authors-and-contributors.html). I generally communicate with the first author(s) to establish authorship and order to reach an agreement.
Set your own schedule. You are responsible for making sure that your projects and other responsibilities are not overly disrupted by your absences. We follow vacation and sick leave set by Carnegie. I am flexible about work hours so long as you work full time (40 hours a week excluding lunch, commute time, excessive/numerous breaks) and you overlap sufficiently with others in the lab. Working off-site is permissible as long as it’s not too frequent. A longer period of off-site work time is allowed upon request on a case-by-case basis. We ask that people note their absences in the lab Google calendar.
Attend scientific conferences. Funds permitting, I would like everyone working full-time to have the opportunity to attend a conference a year. For the most part, attending a conference will mean that you have something worthwhile to present. Please be sure to leave plenty of time to prepare for conference and other presentations. All abstracts and posters should be approved by me before submission.
Be a leader and engage. I expect people in my lab to participate and lead in lab, department, and institution-wide activities or other types of activities that bring their research to a wider audience. Attending our weekly lab meetings and Friday department seminars is required. Examples of engaging widely include organizing seminars or journal clubs, participating in professional societies, recruitment activities, or dept-wide programs such as summer internships or organizing work parties/social activities. We foster a culture that emphasizes boldness, creativity, diversity, empathy, equity, flexibility, freedom, innovation, respect, scientific rigor, and transparency.
When you leave. I expect a postdoc to commit to at least 3 years in the lab and an RA for at least 2 years. I expect a Ph.D. student to graduate within 5-6 years. I encourage each trainee to discuss career plans and professional development with me every six months. Depending on their plans, I am flexible about incorporating off-site training such as internships and courses into their tenure in the lab. I am fine with the trainees taking the projects they developed in the lab so long as we communicate and agree on the scope and nature. Solid documentation and organization of materials and data are expected at least 2 weeks before departure.

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Lab Tabs

Research Interests: 2002 | 2005 | 2009 | 2012

Research Interests (JANUARY 2019)

RheeLabResearch2019.png

On training…

Senior Staff Scientist

Profile

2019

Career Exploration and Planning

Scientific Writing Workshop

Carnegie Scientific Writing Workshop Syllabus

Week 1 (6/28): Introduction to creating a compelling narrative

Week 2 (7/12): Workshop Scientific Storyboard

Week 3 (7/19): Workshop Background and Significance Sections

Week 4 (7/26): Workshop remaining Background and Significance Sections

Week 5 (8/9) Workshop Results and Approach

Week 6 (8/16): Discuss Authorship, Publishing, and Reviewing/ Wine tasting

Week 7 (8/23): Workshop remaining Results and Approach

Week 8 (8/30): Workshop Discussion and Impact sections

Week 9 (9/6): Workshop Abstract sections

Week 10 (9/13): Workshop three Cover letter sections/ Review a manuscript

Selected recent references

Selected recent reviews and perspectives

ALL PEER REVIEWED PUBLICATIONS (* corresponding author)

Book chapters and other publications

POPULAR SCIENCE ESSAYS

Databases and Bioinformatics Tools

Collaborative Projects

***ALL PEER REVIEWED PUBLICATIONS (* corresponding author)***