Matthew C. Chambers
Vanderbilt University
35 Papers
232 Citations
Matthew C. Chambers is an academic researcher from Vanderbilt University. The author has contributed to research in topics: Proteomics & Biology. The author has an hindex of 22, co-authored 34 publications. Previous affiliations of Matthew C. Chambers include Vanderbilt University Medical Center.
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Papers
Skyline: an open source document editor for creating and analyzing targeted proteomics experiments
Brendan MacLean,Daniela M. Tomazela,Nicholas J. Shulman,Matthew C. Chambers,Gregory L. Finney,Barbara Frewen,Randall Kern,David L. Tabb,Daniel C. Liebler,Michael J. MacCoss +9 more
TL;DR: The Skyline user interface simplifies the development of mass spectrometer methods and the analysis of data from targeted proteomics experiments performed using selected reaction monitoring (SRM).
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A cross-platform toolkit for mass spectrometry and proteomics
Matthew C. Chambers,Brendan MacLean,Robert Burke,Dario Amodei,Daniel Ruderman,Steffen Neumann,Laurent Gatto,Bernd Fischer,Brian S. Pratt,Jarrett D. Egertson,Katherine Hoff,Darren Kessner,Natalie Tasman,Nicholas J. Shulman,Barbara Frewen,Tahmina A Baker,Mi-Youn Brusniak,Christopher Paulse,David M. Creasy,Lisa Flashner,Kian Kani,Chris Moulding,Sean L. Seymour,Lydia M. Nuwaysir,Brent Lefebvre,Frank E. Kuhlmann,Joe Roark,Paape Rainer,Suckau Detlev,Tina Hemenway,Andreas Huhmer,James I. Langridge,Brian Connolly,Trey Chadick,Krisztina Holly,Josh Eckels,Eric W. Deutsch,Robert L. Moritz,Jonathan E. Katz,David B. Agus,Michael J. MacCoss,David L. Tabb,Parag Mallick,Parag Mallick +43 more
TL;DR: The ProteoWizard Toolkit is developed, a robust set of open-source, software libraries and applications designed to facilitate proteomics research that implements the first-ever, non-commercial, unified data access interface for proteomics, bridging field-standard open formats and all common vendor formats.
Proteogenomic characterization of human colon and rectal cancer
Bing Zhang,Jing Wang,Xiaojing Wang,Jing Zhu,Qi Liu,Zhiao Shi,Matthew C. Chambers,Lisa J. Zimmerman,Kent Shaddox,Sangtae Kim,Sherri R. Davies,Sean Wang,Pei Wang,Christopher R. Kinsinger,Robert Rivers,Henry Rodriguez,R. Reid Townsend,Matthew J. Ellis,Steven A. Carr,Steven A. Carr,David L. Tabb,Robert J. Coffey,Robbert J.C. Slebos,Daniel C. Liebler,Michael A. Gillette,Karl R. Klauser,Eric Kuhn,D. R. Mani,Philipp Mertins,Karen A. Ketchum,Amanda G. Paulovich,Jeffrey R. Whiteaker,Nathan Edwards,Peter B. McGarvey,Subha Madhavan,Daniel W. Chan,Akhilesh Pandey,Ie Ming Shih,Hui Zhang,Zhen Zhang,Heng Zhu,Gordon Whiteley,Steven J. Skates,Forest M. White,Douglas A. Levine,Emily S. Boja,Tara Hiltke,Mehdi Mesri,Kenna M. Shaw,Stephen E. Stein,David Fenyö,Tao Liu,Jason E. McDermott,Samuel H. Payne,Karin D. Rodland,Richard D. Smith,Paul A. Rudnick,Michael Snyder,Yingming Zhao,Xian Chen,David F. Ransohoff,Andrew N. Hoofnagle,Melinda E. Sanders,Yue Wang,Li Ding +64 more
TL;DR: Integrated proteogenomic analysis provides functional context to interpret genomic abnormalities and affords a new paradigm for understanding cancer biology.
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mzML - a Community Standard for Mass Spectrometry Data
Lennart Martens,Matthew C. Chambers,Marc Sturm,Darren Kessner,Fredrik Levander,Jim Shofstahl,Wilfred H. Tang,Andreas Römpp,Steffen Neumann,Angel Pizarro,Luisa Montecchi-Palazzi,Natalie Tasman,Michael K. Coleman,Florian Reisinger,Puneet Souda,Henning Hermjakob,Pierre-Alain Binz,Eric W. Deutsch +17 more
TL;DR: The resulting standard data format, mzML, is a well tested open-source format formass spectrometer output files that can be readily utilized by the community and easily adapted for incremental advances in mass spectrometry technology.
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Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities.
Suhas Vasaikar,Chen Huang,Xiaojing Wang,Vladislav A. Petyuk,Sara R. Savage,Bo Wen,Yongchao Dou,Yun Zhang,Zhiao Shi,Osama A. Arshad,Marina A. Gritsenko,Lisa J. Zimmerman,Jason E. McDermott,Therese R. W. Clauss,Ronald J. Moore,Rui Zhao,Matthew E. Monroe,Yi-Ting Wang,Matthew C. Chambers,Robbert J.C. Slebos,Ken S. Lau,Qianxing Mo,Li Ding,Matthew J. Ellis,Mathangi Thiagarajan,Christopher R. Kinsinger,Henry Rodriguez,Richard D. Smith,Karin D. Rodland,Karin D. Rodland,Daniel C. Liebler,Tao Liu,Bing Zhang,Akhilesh Pandey,Amanda G. Paulovich,Andrew N. Hoofnagle,D. R. Mani,Daniel W. Chan,David F. Ransohoff,David Fenyö,David L. Tabb,Douglas A. Levine,Emily S. Boja,Eric Kuhn,Forest M. White,Gordon Whiteley,Heng Zhu,Hui Zhang,Ie Ming Shih,Jasmin H. Bavarva,Jeffrey R. Whiteaker,Karen A. Ketchum,Karl R. Clauser,Kelly V. Ruggles,Kimberly Elburn,Linda Hannick,Mark A. Watson,Mauricio Oberti,Mehdi Mesri,Melinda E. Sanders,Melissa Borucki,Michael A. Gillette,Michael Snyder,Nathan Edwards,Negin Vatanian,Paul A. Rudnick,Peter B. McGarvey,Philip Mertins,R. Reid Townsend,Ratna R. Thangudu,Robert Rivers,Samuel H. Payne,Sherri R. Davies,Shuang Cai,Stephen E. Stein,Steven A. Carr,Steven J. Skates,Subha Madhavan,Tara Hiltke,Xian Chen,Yingming Zhao,Yue Wang,Zhen Zhang +82 more
TL;DR: Comparative proteomic and phosphoproteomic analysis of paired tumor and normal adjacent tissues produced a catalog of colon cancer-associated proteins and phosphosites, including known and putative new biomarkers, drug targets, and cancer/testis antigens, which suggested glycolysis as a potential target to overcome the resistance of MSI-H tumors to immune checkpoint blockade.
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