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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A synopsis of the 3rd annual Cancer Proteomics Conference.
Mehdi Mesri,Christopher R. Kinsinger,Emily S. Boja,Tara Hiltke,Amir Rahbar,Robert Rivers,Henry Rodriguez +6 more
TL;DR: The 3rd annual ‘Cancer Proteomics Conference’ was held in Berlin, Germany, 8–9 June 2010, and was co-located with the ‘Advances in Antibody and Peptide Therapeutics’ meeting, allowing for enhanced interaction among investigators from the closely linked fields of research.
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Abstract 2019: NCI’s clinical proteomic tumor analysis consortium analysis tools and resources
Mehdi Mesri,Eunkyung An,Xu Zhang,Jasmin H. Bavarva,Ana Robles,Tara Hiltke,Henry J Quintero Rodríguez +6 more
TL;DR: The National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium (NCI's CPTAC) is an integrative proteogenomic program composed of a tumor characterisation program and a translational research program as mentioned in this paper .
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Author Correction: Epigenetic and transcriptomic characterization reveals progression markers and essential pathways in clear cell renal cell carcinoma
Yige Wu,Nadezhda V. Terekhanova,Wagma Caravan,Nataly Naser Al Deen,Preet Lal,Siqi Chen,Chia-Kuei Mo,Song Cao,Yize Li,Alla Karpova,Ruiyang Liu,Yanyan Zhao,Andrew Glen Shinkle,Ilya Strunilin,Cody Weimholt,Kazuhito Sato,Lina Yao,Mamatha Serasanambati,Xiaolu Yang,Matthew A. Wyczalkowski,Houxiang Zhu,Daniel Cui Zhou,Reyka G Jayasinghe,Daniel Mendez,Michael C. Wendl,David J. Clark,Chelsea J. Newton,Yijun Ruan,Melissa A. Reimers,Russell K. Pachynski,Christopher R. Kinsinger,Scott D. Jewell,Daniel W. Chan,Hui Zhang,Aadel A. Chaudhuri,Milan G. Chheda,Benjamin D. Humphreys,Mehdi Mesri,Henry Rodriguez,James J. Hsieh,Li Ding,Feng Chen +41 more
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Neoplastic cell enrichment of tumor tissues using coring and laser microdissection for proteomic and genomic analyses of pancreatic ductal adenocarcinoma
Qing Kay Li,Yi-Kang Hu,Lijun Chen,Michael Schnaubelt,Daniel Cui Zhou,Yize Li,Rita Jui-Hsien Lu,Mathangi Thiagarajan,Galen Hostetter,Chelsea J. Newton,Scott D. Jewell,Gilbert S. Omenn,Ana I. Robles,Mehdi Mesri,Oliver F. Bathe,Bing Hua Zhang,Li Ding,Ralph H. Hruban,Daniel W. Chan,Hui Zhang +19 more
TL;DR: In this paper , three fresh frozen PDAC tumors and their tumor-matched normal adjacent tissues (NATs) were obtained from three sampling techniques using bulk, coring, and LMD; and analyzed by TMT-based quantitative proteomics.
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Abstract LB061: Proteomic-based stemness score measure oncogenic dedifferentiation and enable the identification of druggable targets
Tathiane M. Malta,Iga Kołodziejczak,Renan Simões,Antonio Colaprico,Erik Storrs,Francesca Petralia,Rossana Lazcano Segura,Elizabeth G. Demicco,Alexander J. Lazar,Weiping Ma,Pietro Pugliese,Michele Ceccarelli,Bozena Kaminska,Alexey I. Nesvizhskii,Bing Hua Zhang,Henry J Quintero Rodríguez,Mehdi Mesri,Ana Robles,Li Ding,Maciej Wiznerowicz +19 more
TL;DR: Malta et al. as mentioned in this paper used a machine learning model to predict the stemness molecular phenotype based on proteomic data and provided new stemness indices for assessing the degree of oncogenic dedifferentiation in tumor samples.