Chris Sander

ORCID: 0000-0001-6059-6270
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Cancer Genomics and Diagnostics
  • Bioinformatics and Genomic Networks
  • Protein Structure and Dynamics
  • RNA and protein synthesis mechanisms
  • Enzyme Structure and Function
  • Genomics and Phylogenetic Studies
  • Cancer-related molecular mechanisms research
  • MicroRNA in disease regulation
  • Renal cell carcinoma treatment
  • RNA modifications and cancer
  • Computational Drug Discovery Methods
  • Machine Learning in Bioinformatics
  • RNA Research and Splicing
  • Gene expression and cancer classification
  • Epigenetics and DNA Methylation
  • Sarcoma Diagnosis and Treatment
  • Cancer Treatment and Pharmacology
  • Advanced Breast Cancer Therapies
  • Colorectal Cancer Treatments and Studies
  • Genetics, Bioinformatics, and Biomedical Research
  • Microbial Metabolic Engineering and Bioproduction
  • Renal and related cancers
  • Prostate Cancer Treatment and Research
  • Advanced Proteomics Techniques and Applications
  • Cancer, Hypoxia, and Metabolism

Deutsche Morbus Crohn/Colitis ulcerosa Vereinigung
2025

Harvard University
2015-2024

Dana-Farber Cancer Institute
2007-2024

Center for Systems Biology
2005-2024

Dana-Farber/Harvard Cancer Center
2023-2024

Broad Institute
2007-2024

Athinoula A. Martinos Center for Biomedical Imaging
2024

Massachusetts General Hospital
2024

Memorial Sloan Kettering Cancer Center
2013-2023

Boston University
2017-2022

Abstract The cBio Cancer Genomics Portal (http://cbioportal.org) is an open-access resource for interactive exploration of multidimensional cancer genomics data sets, currently providing access to from more than 5,000 tumor samples 20 studies. significantly lowers the barriers between complex genomic and researchers who want rapid, intuitive, high-quality molecular profiles clinical attributes large-scale projects empowers translate these rich sets into biologic insights applications....

10.1158/2159-8290.cd-12-0095 article EN Cancer Discovery 2012-05-01

The cBioPortal for Cancer Genomics (http://cbioportal.org) provides a Web resource exploring, visualizing, and analyzing multidimensional cancer genomics data. portal reduces molecular profiling data from tissues cell lines into readily understandable genetic, epigenetic, gene expression, proteomic events. query interface combined with customized storage enables researchers to interactively explore genetic alterations across samples, genes, pathways and, when available in the underlying...

10.1126/scisignal.2004088 article EN Science Signaling 2013-04-02

Current clinical practice is organized according to tissue or organ of origin tumors. Now, The Cancer Genome Atlas (TCGA) Research Network has started identify genomic and other molecular commonalities among a dozen different types cancer. Emerging similarities contrasts will form the basis for targeted therapies future repurposing existing by rather than histological diseases. profiled analyzed large numbers human tumors discover aberrations at DNA, RNA, protein epigenetic levels. resulting...

10.1038/ng.2764 article EN cc-by-nc-sa Nature Genetics 2013-09-26

Immune checkpoint inhibitors, which unleash a patient’s own T cells to kill tumors, are revolutionizing cancer treatment. To unravel the genomic determinants of response this therapy, we used whole-exome sequencing non–small cell lung cancers treated with pembrolizumab, an antibody targeting programmed death-1 (PD-1). In two independent cohorts, higher nonsynonymous mutation burden in tumors was associated improved objective response, durable clinical benefit, and progression-free survival....

10.1126/science.aaa1348 article EN Science 2015-03-13
Cameron Brennan Roel G.W. Verhaak Aaron McKenna Benito Campos Houtan Noushmehr and 95 more Sofie R. Salama Siyuan Zheng Debyani Chakravarty Zack Sanborn Samuel H. Berman Rameen Beroukhim Brady Bernard Chang‐Jiun Wu Giannicola Genovese Ilya Shmulevich Jill S. Barnholtz‐Sloan Lihua Zou Rahulsimham Vegesna Sachet A. Shukla Giovanni Ciriello W. K. Alfred Yung Wei Zhang Carrie Sougnez Tom Mikkelsen Kenneth Aldape Darell D. Bigner Erwin G. Van Meir Michael D. Prados Andrew E. Sloan Keith L. Black Jennifer Eschbacher Gaetano Finocchiaro William A. Friedman David W. Andrews Abhijit Guha Mary Iacocca Brian Patrick O’Neill Greg Foltz Jerome Myers Daniel J. Weisenberger Robert Penny Raju Kucherlapati Charles M. Perou D. Neil Hayes Richard A. Gibbs Marco A. Marra Gordon B. Mills Eric S. Lander Paul T. Spellman Richard K. Wilson Chris Sander John N. Weinstein Matthew Meyerson Stacey Gabriel Peter W. Laird David Haussler Gad Getz Lynda Chin Christopher C. Benz Jill S. Barnholtz‐Sloan Wendi Barrett Quinn T. Ostrom Yingli Wolinsky Keith L. Black Bikash Bose Paul T. Boulos Madgy Boulos Jenn Brown Christine Czerinski Matthew Eppley Mary Iacocca Thelma Kempista Teresa Kitko Yakov Koyfman Brenda Rabeno Pawan Rastogi Michael C. Sugarman Patricia Swanson Kennedy Yalamanchii Ilana P. Otey Yingchun Spring Liu Yonghong Xiao J. Todd Auman Peng‐Chieh Chen Angela Hadjipanayis Eunjung Lee Semin Lee Peter J. Park Jonathan G. Seidman Lixing Yang Raju Kucherlapati Steven N. Kalkanis Tom Mikkelsen Laila Poisson Aditya Raghunathan Lisa Scarpace Brady Bernard Ryan Bressler Andrea Eakin Lisa Iype

10.1016/j.cell.2013.09.034 article EN publisher-specific-oa Cell 2013-10-01

10.1006/jmbi.1993.1489 article EN Journal of Molecular Biology 1993-09-01

MicroRNAs (miRNAs) interact with target mRNAs at specific sites to induce cleavage of the message or inhibit translation. The function most mammalian miRNAs is unknown. We have predicted on 3' untranslated regions human gene transcripts for all currently known 218 facilitate focused experiments. report about 2,000 genes miRNA conserved in mammals and 250 as targets between fish. prediction algorithm optimizes sequence complementarity using position-specific rules relies strict requirements...

10.1371/journal.pbio.0020363 article EN cc-by PLoS Biology 2004-09-30

The recent discoveries of microRNA (miRNA) genes and characterization the first few target regulated by miRNAs in Caenorhabditis elegans Drosophila melanogaster have set stage for elucidation a novel network regulatory control. We present computational method whole-genome prediction miRNA genes. is validated using known examples. For each miRNA, are selected on basis three properties: sequence complementarity position-weighted local alignment algorithm, free energies RNA-RNA duplexes,...

10.1186/gb-2003-5-1-r1 article EN cc-by Genome biology 2003-12-12

For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical contain key features representing the democratized nature collection process. To ensure proper use this large dataset associated genomic features, we developed standardized named Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major outcome endpoints. In...

10.1016/j.cell.2018.02.052 article EN cc-by-nc-nd Cell 2018-04-01

Highlights•Alteration map of 10 signaling pathways across 9,125 samples from 33 cancer types•Reusable, curated pathway templates that include a catalogue driver genes•57% tumors have at least one potentially actionable alteration in these pathways•Co-occurrence alterations suggests combination therapy opportunitiesSummaryGenetic control cell-cycle progression, apoptosis, and cell growth are common hallmarks cancer, but the extent, mechanisms, co-occurrence differ between individual tumor...

10.1016/j.cell.2018.03.035 article EN cc-by-nc-nd Cell 2018-04-01

MicroRNA.org ( http://www.microrna.org ) is a comprehensive resource of microRNA target predictions and expression profiles. Target are based on development the miRanda algorithm which incorporates current biological knowledge rules use an up-to-date compendium mammalian microRNAs. MicroRNA profiles derived from sequencing project large set tissues cell lines normal disease origin. Using improved graphical interface, user can explore (i) genes that potentially regulated by particular...

10.1093/nar/gkm995 article EN cc-by-nc Nucleic Acids Research 2007-12-23

A genetic interaction network containing approximately 1000 genes and 4000 interactions was mapped by crossing mutations in 132 different query into a set of 4700 viable gene yeast deletion mutants scoring the double mutant progeny for fitness defects. Network connectivity predictive function because often occurred among functionally related genes, similar patterns tended to identify components same pathway. The exhibited dense local neighborhoods; therefore, position on partially is other...

10.1126/science.1091317 article EN Science 2004-02-05

The Reactome Knowledgebase (https://reactome.org), an Elixir core resource, provides manually curated molecular details across a broad range of physiological and pathological biological processes in humans, including both hereditary acquired disease processes. are annotated as ordered network transformations single consistent data model. thus functions digital archive human tool for discovering functional relationships such gene expression profiles or somatic mutation catalogs from tumor...

10.1093/nar/gkab1028 article EN cc-by Nucleic Acids Research 2021-10-14

As large-scale re-sequencing of genomes reveals many protein mutations, especially in human cancer tissues, prediction their likely functional impact becomes important practical goal. Here, we introduce a new score (FIS) for amino acid residue changes using evolutionary conservation patterns. The information these patterns is derived from aligned families and sub-families sequence homologs within between species combinatorial entropy formalism. performs well on large set mutations separating...

10.1093/nar/gkr407 article EN cc-by-nc Nucleic Acids Research 2011-07-03
Giovanni Ciriello Michael L. Gatza Andrew H. Beck Matthew D. Wilkerson Suhn K. Rhie and 95 more Alessandro Pastore Hailei Zhang Michael D. McLellan Christina Yau Cyriac Kandoth Reanne Bowlby Hui Shen Sikander Hayat Robert J. Fieldhouse Susan C. Lester Gary M. Tse Rachel E. Factor Laura C. Collins Kimberly H. Allison Yunn-Yi Chen Kristin C. Jensen Nicole B. Johnson Steffi Oesterreich Gordon B. Mills Andrew D. Cherniack Gordon Robertson Christopher C. Benz Chris Sander Peter W. Laird Katherine A. Hoadley Tari A. King Charles M. Perou Rehan Akbani J. Todd Auman Miruna Balasundaram Saianand Balu Thomas Barr Andrew H. Beck Christopher C. Benz Stephen C. Benz Mario Berríos Rameen Beroukhim Tom Bodenheimer Lori Boice Arnoud Boot Jay Bowen Reanne Bowlby Denise Brooks Andrew D. Cherniack Lynda Chin Juok Cho Sudha Chudamani Giovanni Ciriello Tanja M. Davidsen John A. Demchok Jennifer B. Dennison Li Ding Ina Felau Martin L. Ferguson Scott Frazer Stacey Gabriel Jianjiong Gao Julie M. Gastier-Foster Michael L. Gatza Nils Gehlenborg Mark Gerken Gad Getz William J. Gibson D. Neil Hayes David I. Heiman Katherine A. Hoadley Andrea Holbrook Robert A. Holt Alan P. Hoyle Hai Hu Mei Huang Carolyn M. Hutter E. Shelley Hwang Joshua M. Stuart Steven J.M. Jones Zhenlin Ju Jaegil Kim Phillip H. Lai Peter W. Laird Michael S. Lawrence Kristen M. Leraas Tara M. Lichtenberg Pei Lin Shiyun Ling Jia Liu Wenbin Liu Laxmi Lolla Yiling Lu Yussanne Ma Dennis T. Maglinte Elaine R. Mardis Jeffrey R. Marks Marco A. Marra Cynthia McAllister Michael D. McLellan

10.1016/j.cell.2015.09.033 article EN publisher-specific-oa Cell 2015-10-01

RNA silencing processes are guided by small RNAs that derived from double-stranded RNA. To probe for function of during infection human cells a DNA virus, we recorded the profile infected Epstein-Barr virus (EBV). We show EBV expresses several microRNA (miRNA) genes. Given miRNAs in pathways either targeting messenger degradation or repressing translation, identified viral regulators host and/or gene expression.

10.1126/science.1096781 article EN Science 2004-04-29

Using evolutionary information contained in multiple sequence alignments as input to neural networks, secondary structure can be predicted at significantly increased accuracy. Here, we extend our previous three-level system of networks by using additional derived from alignments. a position-specific conservation weight part the increases performance. number insertions and deletions reduces tendency for overprediction overall Addition global amino acid content yields further improvement,...

10.1002/prot.340190108 article EN Proteins Structure Function and Bioinformatics 1994-05-01
Coming Soon ...