M
Mehdi Mesri
Researcher at National Institutes of Health
Publications - 55
Citations - 9221
Mehdi Mesri is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Proteomics & Medicine. The author has an hindex of 30, co-authored 44 publications receiving 6541 citations.
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Journal ArticleDOI
Proteogenomics connects somatic mutations to signalling in breast cancer
Philipp Mertins,D. R. Mani,Kelly V. Ruggles,Michael A. Gillette,Michael A. Gillette,Karl R. Clauser,Pei Wang,Xianlong Wang,Jana W. Qiao,Song Cao,Francesca Petralia,Emily Kawaler,Filip Mundt,Filip Mundt,Karsten Krug,Zhidong Tu,Jonathan T. Lei,Michael L. Gatza,Matthew D. Wilkerson,Charles M. Perou,Venkata Yellapantula,Kuan-lin Huang,Chenwei Lin,Michael D. McLellan,Ping Yan,Sherri R. Davies,R. Reid Townsend,Steven J. Skates,Jing Wang,Bing Zhang,Christopher R. Kinsinger,Mehdi Mesri,Henry Rodriguez,Li Ding,Amanda G. Paulovich,David Fenyö,Matthew J. Ellis,Steven A. Carr +37 more
TL;DR: It is demonstrated that proteogenomic analysis of breast cancer elucidates functional consequences of somatic mutations, narrows candidate nominations for driver genes within large deletions and amplified regions, and identifies therapeutic targets.
Journal ArticleDOI
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.
Journal ArticleDOI
Multi-site assessment of the precision and reproducibility of multiple reaction monitoring–based measurements of proteins in plasma
Terri A. Addona,Susan E. Abbatiello,Birgit Schilling,Steven J. Skates,D. R. Mani,David M. Bunk,Clifford H. Spiegelman,Lisa J. Zimmerman,Amy-Joan L. Ham,Hasmik Keshishian,Steven C. Hall,Simon Allen,Ronald K. Blackman,Christoph H. Borchers,Charles Buck,Helene L. Cardasis,Michael P. Cusack,Nathan G. Dodder,Bradford W. Gibson,Jason M. Held,Tara Hiltke,Angela M. Jackson,Eric B. Johansen,Christopher R. Kinsinger,Jing Li,Mehdi Mesri,Thomas A. Neubert,Richard K. Niles,Trenton C. Pulsipher,David F. Ransohoff,Henry Rodriguez,Paul A. Rudnick,Derek Smith,David L. Tabb,Tony J. Tegeler,Asokan Mulayath Variyath,Lorenzo Vega-Montoto,Asa Wahlander,Sofia Waldemarson,Mu Wang,Jeffrey R. Whiteaker,Lei Zhao,N. Leigh Anderson,Susan J. Fisher,Daniel C. Liebler,Amanda G. Paulovich,Fred E. Regnier,Paul Tempst,Steven A. Carr +48 more
TL;DR: A multilaboratory study to assess reproducibility, recovery, linear dynamic range and limits of detection and quantification of multiplexed, MRM-based assays, conducted by NCI-CPTAC demonstrates that these assays can be highly reproducible within and across laboratories and instrument platforms.
Journal ArticleDOI
Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer
Hui Zhang,Tao Liu,Zhen Zhang,Samuel H. Payne,Bai Zhang,Jason E. McDermott,Jian-Ying Zhou,Vladislav A. Petyuk,Li Chen,Debjit Ray,Shisheng Sun,Feng Yang,Lijun Chen,Jing Wang,Punit Shah,Seong Won Cha,Paul Aiyetan,Sunghee Woo,Yuan Tian,Marina A. Gritsenko,Therese R. W. Clauss,Caitlin H. Choi,Matthew E. Monroe,Stefani N. Thomas,Song Nie,Chaochao Wu,Ronald J. Moore,Kun-Hsing Yu,David L. Tabb,David Fenyö,Vineet Bafna,Yue Wang,Henry Rodriguez,Emily S. Boja,Tara Hiltke,Robert Rivers,Lori J. Sokoll,Heng Zhu,Ie Ming Shih,Leslie Cope,Akhilesh Pandey,Bing Zhang,Michael Snyder,Douglas A. Levine,Richard D. Smith,Daniel W. Chan,Karin D. Rodland,Steven A. Carr,Michael A. Gillette,Karl R. Klauser,Eric Kuhn,D. R. Mani,Philipp Mertins,Karen A. Ketchum,Ratna R. Thangudu,Shuang Cai,Mauricio Oberti,Amanda G. Paulovich,Jeffrey R. Whiteaker,Nathan Edwards,Peter B. McGarvey,Subha Madhavan,Pei Wang,Gordon Whiteley,Steven J. Skates,Forest M. White,Christopher R. Kinsinger,Mehdi Mesri,Kenna M. Shaw,Stephen E. Stein,Paul A. Rudnick,Michael Snyder,Yingming Zhao,Xian Chen,David F. Ransohoff,Andrew N. Hoofnagle,Daniel C. Liebler,Melinda E. Sanders,Zhiao Shi,Robbert J.C. Slebos,Lisa J. Zimmerman,Sherri R. Davies,Li Ding,Matthew J. Ellis,R. Reid Townsend +84 more
TL;DR: A view of how the somatic genome drives the cancer proteome and associations between protein and post-translational modification levels and clinical outcomes in HGSC is provided.
Journal ArticleDOI
Repeatability and Reproducibility in Proteomic Identifications by Liquid Chromatography−Tandem Mass Spectrometry
David L. Tabb,Lorenzo Vega-Montoto,Lorenzo Vega-Montoto,Paul A. Rudnick,Asokan Mulayath Variyath,Asokan Mulayath Variyath,Amy-Joan L. Ham,David M. Bunk,Lisa E. Kilpatrick,Dean Billheimer,Ronald K. Blackman,Helene L. Cardasis,Helene L. Cardasis,Steven A. Carr,Karl R. Clauser,Jacob D. Jaffe,Kevin A. Kowalski,Thomas A. Neubert,Fred E. Regnier,Birgit Schilling,Tony J. Tegeler,Mu Wang,Pei Wang,Jeffrey R. Whiteaker,Lisa J. Zimmerman,Susan J. Fisher,Bradford W. Gibson,Christopher R. Kinsinger,Mehdi Mesri,Henry Rodriguez,Stephen E. Stein,Paul Tempst,Amanda G. Paulovich,Daniel C. Liebler,Cliff Spiegelman +34 more
TL;DR: The most repeatable peptides were those corresponding to conventional tryptic cleavage sites, those that produced intense MS signals, and those that resulted from proteins generating many distinct peptides.