Anne E. Carpenter

Last updated
Anne E. Carpenter
Anne headshot.jpg
Self-portrait photograph
Born (1976-08-08) August 8, 1976 (age 47)
Kalamazoo, Michigan, United States
Alma mater Purdue University, BSc
University of Illinois Urbana-Champaign, PhD
Scientific career
Fields Cell Biology, microscopy, computational biology, artificial intelligence, drug discovery
Institutions Broad Institute
Academic advisors David M. Sabatini
Website broadinstitute.org

Anne E. Carpenter is an American scientist in the field of image analysis for cell biology and artificial intelligence for drug discovery. She is the co-creator of CellProfiler, open-source software for high-throughput biological image analysis, and a co-inventor of the Cell Painting assay, a method for image-based profiling. She is an Institute Scientist and Senior Director of the Imaging Platform at the Broad Institute. [1]

Contents

Education & early career

Undergraduate training

Carpenter received her B.Sc. in Biological Sciences in 1997 from Purdue University, West Lafayette. [2] During this time, she spent a summer in 1996 as an HHMI Undergraduate Research Fellow in the laboratory of Robert E. Malone at the University of Iowa, working on the control of recombination in yeast. Following her graduation, she spent a summer working on enhancers in Drosophila neural development as a research assistant in the laboratory of Chris Q. Doe, then at the University of Illinois Urbana-Champaign.

Graduate training

Carpenter carried out research for her Ph.D. in the laboratory of Andrew S. Belmont at the University of Illinois, Urbana-Champaign. There, she developed molecular biology and automated imaging systems to rapidly assess the effects of transcriptional activators on large-scale chromatin structure using fluorescence microscopy. This work laid the foundation for studies of engineered regions of the genome, the movement of genes within the nucleus upon gene activation, and chromatin-related high-throughput screens. She received her PhD in cell biology in May 2003. [3] [4] [5]

Post-doctoral training and creation of CellProfiler software

Carpenter trained in the laboratory of David M. Sabatini at the Whitehead Institute for Biomedical Research, Cambridge MA, during her postdoctoral work (July 2003 to December 2006). Through co-mentoring by Polina Golland, professor at MIT Computer Science and Artificial Intelligence Laboratory, Carpenter transitioned into a computational researcher during this time. Her research focused on high-throughput microscopy and living cell microarrays to reveal gene function. This required new image analysis methods, so Carpenter and collaborator Thouis Jones designed and in 2005 released the first open-source high-throughput cell image analysis software, CellProfiler, which was first published in 2006. [6] Using this new tool, she led a team of 5 researchers to develop advanced data mining methods to systematically examine the necessity of proteins for a variety of biological processes.

Research and impact

In January 2007, Carpenter founded her laboratory at the Broad Institute of Harvard and MIT, as the Director of the Imaging Platform. Her first NIH R01 grant was awarded in 2010, at the age of 33. In 2017, she became a Broad Institute Scientist. [7]

The Carpenter group develops novel strategies and tools to analyse biological images, particularly microscopy images from high-throughput experiments. Her computer scientists and biologists develop free open-source image analysis and data exploration methods such as CellProfiler and CellProfiler Analyst. Their software work has contributed to open source applications and libraries, including ImageJ, TensorFlow, scikit-image, and scikit-learn. The lab collaborates with biologists, generating discoveries across fields of study and disease areas. [8] Their software enables high-throughput screening in challenging model systems such as C. elegans, 3D cell cultures, and time-lapse video of growing cells.

The focus of the Carpenter lab turned towards machine learning by 2009, and later deep learning, to identify biological structures of interest and to identify patterns resulting from chemical or genetic perturbations to identify cures for diseases. She was an early pioneer of the new field of image-based profiling, [9] which is related to gene expression profiling but uses microscopy images as the data source. Together with Stuart Schreiber, the Carpenter laboratory invented the Cell Painting assay, [10] [11] which is the most widely used for this purpose. Carpenter's CellProfiler software and Cell Painting assay formed the initial scientific platform for Recursion Pharmaceuticals. [12] Dr. Carpenter is a member of the Scientific and Technical Advisory Board for Recursion Pharmaceuticals, [13] in addition to that of Bio-Rad Laboratories. [14]

Carpenter has given more than 200 invited lectures and has chaired several conferences and workshops. She has authored over 200 scientific publications as of 2022. [15] She is known for efforts that organize the scientific community: she was an early Board member for the Society for Biomolecular Imaging and Informatics (SBI2), she founded the CytoData Society, and she led the 2018 Data Science Bowl via Kaggle. [16] Since 2007, Carpenter has supervised over 70 researchers and students, from postdoctoral to high-school level and is known for her informal mentoring as well. [5] [17]

In 2021, Dr. Shantanu Singh became co-leader of Carpenter's laboratory, now called the CarpenterSingh lab. [18]

Awards & honors

Related Research Articles

An assay is an investigative (analytic) procedure in laboratory medicine, mining, pharmacology, environmental biology and molecular biology for qualitatively assessing or quantitatively measuring the presence, amount, or functional activity of a target entity. The measured entity is often called the analyte, the measurand, or the target of the assay. The analyte can be a drug, biochemical substance, chemical element or compound, or cell in an organism or organic sample. An assay usually aims to measure an analyte's intensive property and express it in the relevant measurement unit.

<span class="mw-page-title-main">High-throughput screening</span> Drug discovery technique

High-throughput screening (HTS) is a method for scientific discovery especially used in drug discovery and relevant to the fields of biology, materials science and chemistry. Using robotics, data processing/control software, liquid handling devices, and sensitive detectors, high-throughput screening allows a researcher to quickly conduct millions of chemical, genetic, or pharmacological tests. Through this process one can quickly recognize active compounds, antibodies, or genes that modulate a particular biomolecular pathway. The results of these experiments provide starting points for drug design and for understanding the noninteraction or role of a particular location.

CellProfiler is free, open-source software designed to enable biologists without training in computer vision or programming to quantitatively measure phenotypes from thousands of images automatically. Advanced algorithms for image analysis are available as individual modules that can be placed in sequential order together to form a pipeline; the pipeline is then used to identify and measure biological objects and features in images, particularly those obtained through fluorescence microscopy.

High-content screening (HCS), also known as high-content analysis (HCA) or cellomics, is a method that is used in biological research and drug discovery to identify substances such as small molecules, peptides, or RNAi that alter the phenotype of a cell in a desired manner. Hence high content screening is a type of phenotypic screen conducted in cells involving the analysis of whole cells or components of cells with simultaneous readout of several parameters. HCS is related to high-throughput screening (HTS), in which thousands of compounds are tested in parallel for their activity in one or more biological assays, but involves assays of more complex cellular phenotypes as outputs. Phenotypic changes may include increases or decreases in the production of cellular products such as proteins and/or changes in the morphology of the cell. Hence HCA typically involves automated microscopy and image analysis. Unlike high-content analysis, high-content screening implies a level of throughput which is why the term "screening" differentiates HCS from HCA, which may be high in content but low in throughput.

<span class="mw-page-title-main">Eva Nogales</span> Biophysicist, professor

Eva Nogales is a Spanish-American biophysicist at the Lawrence Berkeley National Laboratory and a professor at the University of California, Berkeley, where she served as head of the Division of Biochemistry, Biophysics and Structural Biology of the Department of Molecular and Cell Biology (2015–2020). She is a Howard Hughes Medical Institute investigator.

High throughput biology is the use of automation equipment with classical cell biology techniques to address biological questions that are otherwise unattainable using conventional methods. It may incorporate techniques from optics, chemistry, biology or image analysis to permit rapid, highly parallel research into how cells function, interact with each other and how pathogens exploit them in disease.

<span class="mw-page-title-main">Jennifer Lippincott-Schwartz</span> American biologist

Jennifer Lippincott-Schwartz is a Senior Group Leader at Howard Hughes Medical Institute's Janelia Research Campus and a founding member of the Neuronal Cell Biology Program at Janelia. Previously, she was the Chief of the Section on Organelle Biology in the Cell Biology and Metabolism Program, in the Division of Intramural Research in the Eunice Kennedy Shriver National Institute of Child Health and Human Development at the National Institutes of Health from 1993 to 2016. Lippincott-Schwartz received her PhD from Johns Hopkins University, and performed post-doctoral training with Richard Klausner at the NICHD, NIH in Bethesda, Maryland.

Xiaowei Zhuang is a Chinese-American biophysicist who is the David B. Arnold Jr. Professor of Science, Professor of Chemistry and Chemical Biology, and Professor of Physics at Harvard University, and an Investigator at the Howard Hughes Medical Institute. She is best known for her work in the development of Stochastic Optical Reconstruction Microscopy (STORM), a super-resolution fluorescence microscopy method, and the discoveries of novel cellular structures using STORM. She received a 2019 Breakthrough Prize in Life Sciences for developing super-resolution imaging techniques that get past the diffraction limits of traditional light microscopes, allowing scientists to visualize small structures within living cells. She was elected a Member of the American Philosophical Society in 2019 and was awarded a Vilcek Foundation Prize in Biomedical Science in 2020.

<span class="mw-page-title-main">David Goodsell</span>

David S. Goodsell, is an associate professor at the Scripps Research Institute and research professor at Rutgers University, New Jersey. He is especially known for his watercolor paintings of cell interiors.

Integromics was a global bioinformatics company headquartered in Granada, Spain, with a second office in Madrid, subsidiaries in the United States and United Kingdom, and distributors in 10 countries. Integromics specialised in bioinformatics software for data management and data analysis in genomics and proteomics. The company provided a line of products that serve the gene expression, sequencing, and proteomics markets. Customers include genomic research centers, pharmaceutical companies, academic institutions, clinical research organizations, and biotechnology companies.

CellCognition is a free open-source computational framework for quantitative analysis of high-throughput fluorescence microscopy (time-lapse) images in the field of bioimage informatics and systems microscopy. The CellCognition framework uses image processing, computer vision and machine learning techniques for single-cell tracking and classification of cell morphologies. This enables measurements of temporal progression of cell phases, modeling of cellular dynamics and generation of phenotype map.

<span class="mw-page-title-main">Ronald Vale</span> American biochemist

Ronald David Vale ForMemRS is an American biochemist and cell biologist. He is a professor at the Department of Cellular and Molecular Pharmacology, University of California, San Francisco. His research is focused on motor proteins, particularly kinesin and dynein. He was awarded the Canada Gairdner International Award for Biomedical Research in 2019, the Shaw Prize in Life Science and Medicine in 2017 together with Ian Gibbons, and the Albert Lasker Award for Basic Medical Research in 2012 alongside Michael Sheetz and James Spudich. He is a fellow of the American Academy of Arts and Sciences and a member of the National Academy of Sciences. He was the president of the American Society for Cell Biology in 2012. He has also been an investigator at the Howard Hughes Medical Institute since 1995. In 2019, Vale was named executive director of the Janelia Research Campus and a vice president of HHMI; his appointment began in early 2020.

Albert P. Li is president and CEO of In Vitro ADMET Laboratories (IVAL), Columbia, Maryland, and Malden, Massachusetts. For the past three decades, Li has devoted his scientific career to the advancement of scientific concepts and technologies to accurately predict human drug properties. His research is focused on the development and application of human-based in vitro experimental systems in drug discovery and development. He is a pioneer in the isolation, cryopreservation, and culturing of human hepatocytes and their application in the evaluation of drug metabolism, drug-drug interactions, and drug toxicity.

<span class="mw-page-title-main">Laura Waller</span> Computer scientist

Laura Ann Waller is a computer scientist and Ted Van Duzer Endowed Associate Professor at the University of California, Berkeley. She was awarded a Chan Zuckerberg Initiative Fellowship to develop microscopes to image deep structures within the brain in 2017 and won the 2018 SPIE Early Career Award.

Milan Mrksich is an American chemist. He is the Henry Wade Rogers Professor of biomedical engineering at Northwestern University and has additional appointments in chemistry and cell and developmental biology. He also serves as both the founding director of the center for Synthetic Biology and as an associate director of the Robert H. Lurie Comprehensive Cancer Center at Northwestern. Mrksich also serves as the Vice President for Research of Northwestern University.

<span class="mw-page-title-main">Elba Serrano</span> Professor of Neuroscience

Elba E. Serrano is a neuroscientist and biophysicist who holds a position as a Regent's Professor of Biology at New Mexico State University.

Brian T. Cunningham is an American engineer, researcher and academic. He is a Donald Biggar Willett Professor of Engineering at University of Illinois at Urbana-Champaign. He is a professor of Electrical and Computer Engineering, and a professor of Bioengineering.

<span class="mw-page-title-main">Suliana Manley</span> American biophysicist

Suliana Manley is an American biophysicist. Her research focuses on the development of high-resolution optical instruments, and their application in studying the organization and dynamics of proteins. She is a professor at École Polytechnique Fédérale de Lausanne and heads the Laboratory of Experimental Biophysics.

<span class="mw-page-title-main">Gerardo Turcatti</span> Swiss-Uruguayan chemical biologist and pharmacologist

Gerardo Turcatti is a Swiss-Uruguayan chemist who specialises in chemical biology and drug discovery. He is a professor at the École Polytechnique Fédérale de Lausanne (EPFL) and director of the Biomolecular Screening Facility at the School of Life Sciences there.


The Cell Painting assay is a high-content, high-throughput imaging technique used to capture a wide array of cellular phenotypes in response to diverse perturbations.. These phenotypes, often termed "morphological profiles", can be used to understand various biological phenomena, including cellular responses to genetic changes, drug treatments, and other environmental changes. This has been adopted by many pharmaceutical companies in profiling compounds including Recursion Pharmaceutical and AstraZeneca

References

  1. "Broad Institute Imaging Platform". Broad Institute. 2016-01-08. Retrieved 2019-02-02.
  2. "Anne Carpenter • iBiology". iBiology. Retrieved 2019-10-08.
  3. "Computational Drug Discovery: An Interview with Dr. Anne Carpenter". Iridescent. 2018-02-09. Retrieved 2019-10-08.
  4. "Profile: Anne Carpenter | The School of Molecular and Cellular Biology | University of Illinois Urbana-Champaign". mcb.illinois.edu. Retrieved 2019-10-08.
  5. 1 2 "Carpenter Reddit AMA". Reddit. 2018-02-15. Retrieved 2019-02-21.
  6. Carpenter, Anne E.; Jones, Thouis R.; Lamprecht, Michael R.; Clarke, Colin; Kang, In; Friman, Ola; Guertin, David A.; Chang, Joo; Lindquist, Robert A.; Moffat, Jason; Golland, Polina; Sabatini, David M. (2006-10-31). "CellProfiler: image analysis software for identifying and quantifying cell phenotypes". Genome Biology. 7 (10): R100. doi: 10.1186/gb-2006-7-10-r100 . PMC   1794559 . PMID   17076895.
  7. "Broad Institute Scientists". Broad Institute. 21 June 2017. Retrieved 2019-02-21.
  8. "Mining cellular images". Research.gov. Retrieved 2019-02-21.
  9. Pennisi, E. (2016-05-20). "'Cell painting' highlights responses to drugs and toxins". Science. 352 (6288): 877–878. Bibcode:2016Sci...352..877P. doi:10.1126/science.352.6288.877. PMID   27199393 . Retrieved 2019-02-02.
  10. Gustafsdottir, Sigrun M.; Ljosa, Vebjorn; Sokolnicki, Katherine L.; Wilson, J. Anthony; Walpita, Deepika; Kemp, Melissa M.; Petri Seiler, Kathleen; Carrel, Hyman A.; Golub, Todd R.; Schreiber, Stuart L.; Clemons, Paul A.; Carpenter, Anne E.; Shamji, Alykhan F. (2013-12-02). "Multiplex Cytological Profiling Assay to Measure Diverse Cellular States". PLOS ONE. 8 (12): e80999. Bibcode:2013PLoSO...880999G. CiteSeerX   10.1.1.433.924 . doi: 10.1371/journal.pone.0080999 . PMC   3847047 . PMID   24312513.
  11. Bray, MA; Singh, S; Han, H; Davis, CT; Borgeson, B; Hartland, C; Kost-Alimova, M; Gustafsdottir, SM; Gibson, CC; Carpenter, AE (2016-08-25). "Cell Painting, a high-content image-based assay for morphological profiling using multiplexed fluorescent dyes". Nat Protoc. 11 (9): 1757–74. doi:10.1038/nprot.2016.105. PMC   5223290 . PMID   27560178.
  12. Ray, Tiernan. "The subtle art of really big data: Recursion Pharma maps the body". ZDNet. Retrieved 2019-10-08.
  13. "Anne Carpenter". Recursion Pharmaceuticals. Retrieved 2019-10-08.
  14. "Recursion Pharmaceuticals Announces Formation of its Scientific and Technical Advisory Board". Recursion Pharmaceuticals. Retrieved 2019-10-08.
  15. "Anne Carpenter Google Scholar profile". Google Scholar. Retrieved 2022-09-11.
  16. "2018 Data Science Bowl". Kaggle. Retrieved 2019-02-21.
  17. "Carpenter Twitter feed". Twitter. Retrieved 2019-02-21.
  18. Carpenter, Anne E (5 September 2022). "Why I shrank my lab by half". eLife. 11: e82831. doi: 10.7554/eLife.82831 . PMC   9444239 . PMID   36063089.
  19. "Quartet of world-leading scientists to receive RMS Honorary Fellowships". Royal Microscopical Society. Retrieved 10 November 2020.
  20. "Top 100 AI Leaders in Drug Discovery and Advanced Healthcare". Deep Knowledge Analytics. Retrieved 2019-02-02.
  21. "Anne Carpenter, PhD". New Frontiers in 3D. Retrieved 2019-10-08.
  22. "UIUC LAS Outstanding Young Alumni Award". University of Illinois. Retrieved 2019-02-21.
  23. "NIH Reporter project page". NIH. Retrieved 2019-02-21.
  24. "The SLAS Fellow Member Program". SLAS. Retrieved 2019-02-21.
  25. "Meet our new award recipients…and watch a video of our science fair!". myemail.constantcontact.com. Retrieved 2019-10-08.
  26. "CAREER: Image information extraction from heterogeneous populations of co-cultured cells". National Science Foundation. Retrieved 2019-02-21.
  27. 1 2 "Anne Carpenter". French-American Foundation. 2012-08-15. Retrieved 2019-02-21.
  28. "List of Fellows". Massachusetts Academy of Sciences. Retrieved 2019-02-21.
  29. Bold visions : women in science and technology. New York: Creative Expansions, Inc. 2007. OCLC   213362306.

L, Esther; huis (2021-11-02). "Her Machine Learning Tools Pull Insights From Cell Images". Quanta Magazine .