Dana Pe'er Explained

Dana Pe'er
Birth Date:[1]
Fields:Biology
Computational biology
Systems biology
Workplaces:Harvard Medical School
Columbia University
Memorial Sloan Kettering Cancer Center
Alma Mater:Hebrew University of Jerusalem[2]
Thesis Title:From Gene Expression to Molecular Pathways
Thesis Url:http://arep.med.harvard.edu/~dpeer/thesis/thesis.pdf
Thesis Year:2003
Doctoral Advisor:Nir Friedman
Academic Advisors:George M. Church
Spouse:Itsik Pe'er
Children:Inbar, Carmel[3] [4]

Dana Pe'er (born 1971), Chair and Professor in Computational and Systems Biology Program at Sloan Kettering Institute is a researcher in computational systems biology. A Howard Hughes Medical Institute (HHMI) Investigator since 2021, she was previously a professor at Columbia Department of Biological Sciences. Pe'er's research focuses on understanding the organization, function and evolution of molecular networks, particularly how genetic variations alter the regulatory network and how these genetic variations can cause cancer.

Early life and education

Pe'er was born in Israel.[5] Her husband, Itsik Pe'er, is a computational biologist at Columbia University. Together, they have raised two daughters.[6]

Pe'er received a bachelor's degree in mathematics in 1995, as well as master's in 1999 and PhD degrees in computer science in 2003, from the Hebrew University of Jerusalem. She earned her master's degree under Avi Widgerson, and carried out her PhD research in the lab of Nir Friedman.[7] [8] [9]

She subsequently performed postdoctoral work with George Church at Harvard. Her fellowship focused on how genetic variation changes the regulatory network between individuals and how this subsequently manifests in phenotypic diversity.[10] [11]

Career

In 2006, Pe'er established a research group in the Department of Biological Sciences and Systems Biology at Columbia University. Pe'er's group at Columbia developed computational methods that combine diverse sources of high throughput genomics data, with the aim of developing a holistic view of the cell at a systems level.[12]

In 2016, Pe'er joined the Sloan Kettering Institute in New York City.[13] While at Sloan, Pe'er was selected as a Howard Hughes Medical Institute (HHMI) Investigator in September, 2021.[14]

Pe'er is also involved in the Human Cell Atlas as a member of the organizing committee, co-chair of the Analysis Working Group, and member of the Human Lung Cell Atlas initiative, and serves on the scientific advisory board of scverse.[15]

Research

In her PhD work, Pe'er demonstrated that Bayesian networks can describe interactions between thousands of genes, enabling the analysis of data from newly available DNA microarrays, which generate thousands of noisy measurements of gene expression.[16] The approach has been widely applied to genome-scale sequencing data. In her postdoctoral work, she used this framework to study protein signaling networks in multivariate flow cytometry data.[17]

At Columbia, Pe'er applied Bayesian networks to integrate different data types for the study of gene regulatory networks, determining how DNA sequence variation alters the regulation of gene expression, with a view towards personalized medicine.[18]

The Pe'er research group has developed a series of methods for high-throughput single-cell data analysis, initially to address a new high-dimensional data type derived from mass cytometry, which quantifies a few dozen proteins per cell for millions of cells at a time. They introduced the application of non-linear dimensionality reduction by t-distributed stochastic neighbor embedding (t-SNE) to visualize high-dimensional single-cell RNA sequencing data,[19] and the use of a nearest neighbors graph to represent the data manifold of RNA-defined cell states.[20] The Pe'er group used this formalization to identify discrete cell types or cell states by applying the Louvain community detection method to cluster data,[21] and demonstrated that cells can be ordered along differentiation trajectories from individual samples, due to the asynchrony of cells found in tissue samples.[20] By modeling trajectories as a Markov process, they showed that cells can be assigned probabilities for reaching any given terminal fate along a trajectory.[22] In 2020, the Pe'er and Fabian Theis groups presented CellRank, an algorithm that uncovers cellular dynamics by combining trajectories based on cell-cell similarity with local RNA velocity information, which identifies nascent transcriptional states by the proportion of spliced-to-unspliced RNA transcripts.[23]

Pe'er applies these methods to model biological questions around cellular plasticity and single-cell phenotypic variation in cancer, developmental biology, and immunology, including tumor microenvironments,[24] metastasis[24] and responses to treatments such as immunotherapy. "We are beginning to understand that plasticity is a key hallmark of cancer," said Dr. Pe'er. "It is the cancer cell's plasticity that allows it to make such a switch to survive."

Upon accepting the International Society for Computational Biology's Overton Prize in 2014, Pe'er said, "Math is rigorous, and biology is messy, so the trick is to find the pattern in the mess, and machine learning provides a powerful toolbox."[25]

Selected publications

Memberships

Awards

External links

Notes and References

  1. Web site: 98109969.
  2. Web site: Dana Pe'er - HomePage . 8 February 2014 . dead . https://web.archive.org/web/20100629215906/http://arep.med.harvard.edu/~dpeer/ . 29 June 2010 .
  3. Web site: TEDxYouth@TheSchool - The Spark! - TEDx - TED.com. www.ted.com. 8 February 2014.
  4. Web site: Dana Pe'er - Genealogy. www.geni.com. 19 July 2014.
  5. News: Ronel . Asaf . September 29, 2019 . A Project to Map All Human Cells Will Change How Disease Is Cured . en . Haaretz . 2023-03-22.
  6. Web site: Oh . Clare . September 20, 2007 . Columbia News . https://web.archive.org/web/20140223132713/http://www.columbia.edu/cu/news/07/09/peer.html . February 23, 2014 . 2023-04-20 . Columbia News . en.
  7. Web site: 2011 Innovative Research Grants Investigator Biographies . dead . https://web.archive.org/web/20140222032934/http://www.aacr.org/home/public--media/stand-up-to-cancer/su2c-innovative-research-grants/2011-innovative-research-grants/2011-innovative-research-grants-investigator-biographies.aspx . 22 February 2014 . 9 February 2014 . www.aacr.org.
  8. Web site: Dana Pe'er - Dissertation . dead . https://web.archive.org/web/20141028192558/http://arep.med.harvard.edu/~dpeer/thesis/index.html . 28 October 2014 . 9 February 2014.
  9. Lee . S. I. . Pe'Er . D . Dudley . A. M. . Church . G. M. . Koller . D . 2006 . Identifying regulatory mechanisms using individual variation reveals key role for chromatin modification . Proceedings of the National Academy of Sciences . 103 . 38 . 14062–7 . 2006PNAS..10314062L . 10.1073/pnas.0601852103 . 1599912 . 16968785 . free.
  10. Lee . S. I. . Pe'Er . D . Dudley . A. M. . Church . G. M. . Koller . D . 2006 . Identifying regulatory mechanisms using individual variation reveals key role for chromatin modification . Proceedings of the National Academy of Sciences . 103 . 38 . 14062–7 . 2006PNAS..10314062L . 10.1073/pnas.0601852103 . 1599912 . 16968785 . free.
  11. Web site: GET :: Genomes Environments Traits . 8 February 2014 . www.getconference.org.
  12. Web site: Center for Computational Biology and Bioinformatics (C2B2) Columbia University Department of Systems Biology . 2023-02-14 . systemsbiology.columbia.edu.
  13. Web site: 2019-08-02 . Notable Women in Healthcare - Dana Pe'er . 2023-02-14 . Crain's New York Business . en.
  14. Web site: HHMI Invests $300 Million in 33 New Investigators . 2023-02-14 . HHMI . en.
  15. Web site: 2022-05-17 . Hello world . 2023-02-14 . scverse.org.
  16. Friedman . N. . Linial . M. . Nachman . I. . Pe'er . D. . 2000 . Using Bayesian networks to analyze expression data . Journal of Computational Biology: A Journal of Computational Molecular Cell Biology . 7 . 3–4 . 601–620 . 10.1089/106652700750050961 . 1066-5277 . 11108481.
  17. Sachs . Karen . Perez . Omar . Pe'er . Dana . Lauffenburger . Douglas A. . Nolan . Garry P. . 2005-04-22 . Causal protein-signaling networks derived from multiparameter single-cell data . Science . 308 . 5721 . 523–529 . 10.1126/science.1105809 . 1095-9203 . 15845847. 2005Sci...308..523S . 8160280 .
  18. Sanchez-Garcia . Félix . Villagrasa . Patricia . Matsui . Junji . Kotliar . Dylan . Castro . Verónica . Akavia . Uri-David . Chen . Bo-Juen . Saucedo-Cuevas . Laura . Rodriguez Barrueco . Ruth . Llobet-Navas . David . Silva . Jose M. . Pe'er . Dana . 2014-12-04 . Integration of genomic data enables selective discovery of breast cancer drivers . Cell . 159 . 6 . 1461–1475 . 10.1016/j.cell.2014.10.048 . 1097-4172 . 4258423 . 25433701.
  19. Amir . El-ad David . Davis . Kara L. . Tadmor . Michelle D. . Simonds . Erin F. . Levine . Jacob H. . Bendall . Sean C. . Shenfeld . Daniel K. . Krishnaswamy . Smita . Nolan . Garry P. . Pe'er . Dana . June 2013 . viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia . Nature Biotechnology . en . 31 . 6 . 545–552 . 10.1038/nbt.2594 . 23685480 . 4076922 . 1546-1696.
  20. Bendall . Sean C. . Davis . Kara L. . Amir . El-Ad David . Tadmor . Michelle D. . Simonds . Erin F. . Chen . Tiffany J. . Shenfeld . Daniel K. . Nolan . Garry P. . Pe'er . Dana . 2014-04-24 . Single-cell trajectory detection uncovers progression and regulatory coordination in human B cell development . Cell . 157 . 3 . 714–725 . 10.1016/j.cell.2014.04.005 . 1097-4172 . 4045247 . 24766814.
  21. Levine . Jacob H. . Simonds . Erin F. . Bendall . Sean C. . Davis . Kara L. . Amir . El-ad D. . Tadmor . Michelle D. . Litvin . Oren . Fienberg . Harris G. . Jager . Astraea . Zunder . Eli R. . Finck . Rachel . Gedman . Amanda L. . Radtke . Ina . Downing . James R. . Pe'er . Dana . 2015-07-02 . Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis . Cell . 162 . 1 . 184–197 . 10.1016/j.cell.2015.05.047 . 1097-4172 . 4508757 . 26095251.
  22. Setty . Manu . Kiseliovas . Vaidotas . Levine . Jacob . Gayoso . Adam . Mazutis . Linas . Pe'er . Dana . April 2019 . Characterization of cell fate probabilities in single-cell data with Palantir . Nature Biotechnology . 37 . 4 . 451–460 . 10.1038/s41587-019-0068-4 . 1546-1696 . 7549125 . 30899105.
  23. Lange . Marius . Bergen . Volker . Klein . Michal . Setty . Manu . Reuter . Bernhard . Bakhti . Mostafa . Lickert . Heiko . Ansari . Meshal . Schniering . Janine . Schiller . Herbert B. . Pe'er . Dana . Theis . Fabian J. . February 2022 . CellRank for directed single-cell fate mapping . Nature Methods . 19 . 2 . 159–170 . 10.1038/s41592-021-01346-6 . 1548-7105 . 8828480 . 35027767.
  24. Nowotschin . Sonja . Setty . Manu . Kuo . Ying-Yi . Liu . Vincent . Garg . Vidur . Sharma . Roshan . Simon . Claire S. . Saiz . Nestor . Gardner . Rui . Boutet . Stéphane C. . Church . Deanna M. . Hoodless . Pamela A. . Hadjantonakis . Anna-Katerina . Pe'er . Dana . May 2019 . The emergent landscape of the mouse gut endoderm at single-cell resolution . Nature . 569 . 7756 . 361–367 . 10.1038/s41586-019-1127-1 . 1476-4687 . 6724221 . 30959515. 2019Natur.569..361N .
  25. Web site: 2011 Innovative Research Grants Investigator Biographies . dead . https://web.archive.org/web/20140222032934/http://www.aacr.org/home/public--media/stand-up-to-cancer/su2c-innovative-research-grants/2011-innovative-research-grants/2011-innovative-research-grants-investigator-biographies.aspx . 22 February 2014 . 9 February 2014 . www.aacr.org.
  26. Web site: Editorial board: Cell . www.cell.com . 18 January 2022.
  27. Web site: Governance . 2022-12-05 . www.humancellatlas.org . en-GB.
  28. Web site: Scientific Advisory Committee – EMBL Council . 2022-12-05 . en-GB.
  29. Web site: About Us . 2022-12-05 . EPFL . en-GB.
  30. Web site: Program Details . 2022-12-05 . pew.org . en.
  31. Web site: March 02, 2021: ISCB Congratulates and Introduces the 2021 Class of Fellows! . www.iscb.org . 17 June 2022.
  32. Web site: HHMI Invests $300 Million in 33 New Investigators . 2021-09-23 . HHMI . en.
  33. Web site: AACR Announces Fellows of the AACR Academy Class of 2023 and New AACR Academy President . 2024-04-01 . American Association for Cancer Research (AACR) . en.
  34. Web site: 2019-07-23 . Notable Women in Healthcare 2019 . 2022-12-05 . Crain's New York Business . en.
  35. Web site: Sloan Kettering Institute's Dana Pe'er Named Howard Hughes Medical Institute Investigator Memorial Sloan Kettering Cancer Center . 2022-12-05 . www.mskcc.org . 23 September 2021 . en.
  36. Web site: 2018-09-18 . NIH Director's Pioneer Award Program - 2014 Award Recipients . 2022-12-05 . commonfund.nih.gov . en.
  37. Web site: Jan 24, 2014: Gene Myers and Dana Pe'er Named 2014 ISCB Award Winners. www.iscb.org. ISCB. 8 February 2014.
  38. Web site: RECOMB Awards . 2022-12-05 . RECOMB Conference Series . en.
  39. Web site: Stand Up To Cancer awards next round of Innovative Research Grants - Dana-Farber Cancer Institute Boston, MA . 2022-12-05 . www.dana-farber.org.
  40. Web site: Dana Pe'er - Packard Foundation. www.packard.org. 8 February 2014.
  41. Web site: Sloan Kettering Institute's Dana Pe'er named Howard Hughes Medical Institute Investigator . 2022-12-05 . EurekAlert! . en.
  42. Web site: ISCB Innovator Award . 2024-04-01 . www.iscb.org.

This article is licensed under the GNU Free Documentation License. It uses material from the Wikipedia article "Dana Pe'er".

Except where otherwise indicated, Everything.Explained.Today is © Copyright 2009-2024, A B Cryer, All Rights Reserved. Cookie policy.