Literature DB >> 25873244

The CPTAC Data Portal: A Resource for Cancer Proteomics Research.

Nathan J Edwards, Mauricio Oberti1, Ratna R Thangudu1, Shuang Cai1, Peter B McGarvey, Shine Jacob1, Subha Madhavan, Karen A Ketchum1.   

Abstract

The Clinical Proteomic Tumor Analysis Consortium (CPTAC), under the auspices of the National Cancer Institute's Office of Cancer Clinical Proteomics Research, is a comprehensive and coordinated effort to accelerate the understanding of the molecular basis of cancer through the application of proteomic technologies and workflows to clinical tumor samples with characterized genomic and transcript profiles. The consortium analyzes cancer biospecimens using mass spectrometry, identifying and quantifying the constituent proteins and characterizing each tumor sample's proteome. Mass spectrometry enables highly specific identification of proteins and their isoforms, accurate relative quantitation of protein abundance in contrasting biospecimens, and localization of post-translational protein modifications, such as phosphorylation, on a protein's sequence. The combination of proteomics, transcriptomics, and genomics data from the same clinical tumor samples provides an unprecedented opportunity for tumor proteogenomics. The CPTAC Data Portal is the centralized data repository for the dissemination of proteomic data collected by Proteome Characterization Centers (PCCs) in the consortium. The portal currently hosts 6.3 TB of data and includes proteomic investigations of breast, colorectal, and ovarian tumor tissues from The Cancer Genome Atlas (TCGA). The data collected by the consortium is made freely available to the public through the data portal.

Entities:  

Keywords:  Clinical Proteomics Tumor Analysis Consortium; Data portal; The Cancer Genome Atlas; mass spectrometry; proteomics

Mesh:

Substances:

Year:  2015        PMID: 25873244     DOI: 10.1021/pr501254j

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  98 in total

1.  Findings from the Section on Bioinformatics and Translational Informatics.

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2.  Novel Proteome Extraction Method Illustrates a Conserved Immunological Signature of MSI-H Colorectal Tumors.

Authors:  Elez D Vainer; Juliane Kania-Almog; Ghadeer Zatara; Yishai Levin; Gilad W Vainer
Journal:  Mol Cell Proteomics       Date:  2020-07-08       Impact factor: 5.911

3.  Systematic analysis of immune-related genes based on a combination of multiple databases to build a diagnostic and a prognostic risk model for hepatocellular carcinoma.

Authors:  Di-Guang Wen; Xiao-Ping Zhao; Yu You; Zuo-Jin Liu
Journal:  Cancer Immunol Immunother       Date:  2020-09-28       Impact factor: 6.968

4.  FusionPro, a Versatile Proteogenomic Tool for Identification of Novel Fusion Transcripts and Their Potential Translation Products in Cancer Cells.

Authors:  Chae-Yeon Kim; Keun Na; Saeram Park; Seul-Ki Jeong; Jin-Young Cho; Heon Shin; Min Jung Lee; Gyoonhee Han; Young-Ki Paik
Journal:  Mol Cell Proteomics       Date:  2019-06-17       Impact factor: 5.911

5.  Proteogenomic Characterization of Endometrial Carcinoma.

Authors:  Yongchao Dou; Emily A Kawaler; Daniel Cui Zhou; Marina A Gritsenko; Chen Huang; Lili Blumenberg; Alla Karpova; Vladislav A Petyuk; Sara R Savage; Shankha Satpathy; Wenke Liu; Yige Wu; Chia-Feng Tsai; Bo Wen; Zhi Li; Song Cao; Jamie Moon; Zhiao Shi; MacIntosh Cornwell; Matthew A Wyczalkowski; Rosalie K Chu; Suhas Vasaikar; Hua Zhou; Qingsong Gao; Ronald J Moore; Kai Li; Sunantha Sethuraman; Matthew E Monroe; Rui Zhao; David Heiman; Karsten Krug; Karl Clauser; Ramani Kothadia; Yosef Maruvka; Alexander R Pico; Amanda E Oliphant; Emily L Hoskins; Samuel L Pugh; Sean J I Beecroft; David W Adams; Jonathan C Jarman; Andy Kong; Hui-Yin Chang; Boris Reva; Yuxing Liao; Dmitry Rykunov; Antonio Colaprico; Xi Steven Chen; Andrzej Czekański; Marcin Jędryka; Rafał Matkowski; Maciej Wiznerowicz; Tara Hiltke; Emily Boja; Christopher R Kinsinger; Mehdi Mesri; Ana I Robles; Henry Rodriguez; David Mutch; Katherine Fuh; Matthew J Ellis; Deborah DeLair; Mathangi Thiagarajan; D R Mani; Gad Getz; Michael Noble; Alexey I Nesvizhskii; Pei Wang; Matthew L Anderson; Douglas A Levine; Richard D Smith; Samuel H Payne; Kelly V Ruggles; Karin D Rodland; Li Ding; Bing Zhang; Tao Liu; David Fenyö
Journal:  Cell       Date:  2020-02-13       Impact factor: 41.582

Review 6.  Imaging signatures of glioblastoma molecular characteristics: A radiogenomics review.

Authors:  Anahita Fathi Kazerooni; Spyridon Bakas; Hamidreza Saligheh Rad; Christos Davatzikos
Journal:  J Magn Reson Imaging       Date:  2019-08-27       Impact factor: 4.813

7.  A Description of the Clinical Proteomic Tumor Analysis Consortium (CPTAC) Common Data Analysis Pipeline.

Authors:  Paul A Rudnick; Sanford P Markey; Jeri Roth; Yuri Mirokhin; Xinjian Yan; Dmitrii V Tchekhovskoi; Nathan J Edwards; Ratna R Thangudu; Karen A Ketchum; Christopher R Kinsinger; Mehdi Mesri; Henry Rodriguez; Stephen E Stein
Journal:  J Proteome Res       Date:  2016-02-25       Impact factor: 4.466

8.  An integrative pan-cancer analysis of biological and clinical impacts underlying ubiquitin-specific-processing proteases.

Authors:  Di Chen; Zhen Ning; Huan Chen; Chang Lu; Xiaolong Liu; Tian Xia; Huan Qi; Wen Wang; Ting Ling; Xin Guo; Dinesh Singh Tekcham; Xiumei Liu; Jing Liu; Aman Wang; Qiu Yan; Ji-Wei Liu; Guang Tan; Hai-Long Piao
Journal:  Oncogene       Date:  2019-09-11       Impact factor: 9.867

9.  Immune Checkpoint Profiles in Luminal B Breast Cancer (Alliance).

Authors:  Meenakshi Anurag; Mayanne Zhu; Chen Huang; Suhas Vasaikar; Junkai Wang; Jeremy Hoog; Samantha Burugu; Dongxia Gao; Vera Suman; Xiang H Zhang; Bing Zhang; Torsten Nielsen; Matthew J Ellis
Journal:  J Natl Cancer Inst       Date:  2020-07-01       Impact factor: 13.506

10.  Proteomics, Post-translational Modifications, and Integrative Analyses Reveal Molecular Heterogeneity within Medulloblastoma Subgroups.

Authors:  Tenley C Archer; Tobias Ehrenberger; Filip Mundt; Maxwell P Gold; Karsten Krug; Clarence K Mah; Elizabeth L Mahoney; Colin J Daniel; Alexander LeNail; Divya Ramamoorthy; Philipp Mertins; D R Mani; Hailei Zhang; Michael A Gillette; Karl Clauser; Michael Noble; Lauren C Tang; Jessica Pierre-François; Jacob Silterra; James Jensen; Pablo Tamayo; Andrey Korshunov; Stefan M Pfister; Marcel Kool; Paul A Northcott; Rosalie C Sears; Jonathan O Lipton; Steven A Carr; Jill P Mesirov; Scott L Pomeroy; Ernest Fraenkel
Journal:  Cancer Cell       Date:  2018-09-10       Impact factor: 31.743

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