Literature DB >> 29092939

Explore, Visualize, and Analyze Functional Cancer Proteomic Data Using the Cancer Proteome Atlas.

Jun Li1, Rehan Akbani1, Wei Zhao2, Yiling Lu2, John N Weinstein1,2, Gordon B Mills3, Han Liang4,2.   

Abstract

Reverse-phase protein arrays (RPPA) represent a powerful functional proteomic approach to elucidate cancer-related molecular mechanisms and to develop novel cancer therapies. To facilitate community-based investigation of the large-scale protein expression data generated by this platform, we have developed a user-friendly, open-access bioinformatic resource, The Cancer Proteome Atlas (TCPA, http://tcpaportal.org), which contains two separate web applications. The first one focuses on RPPA data of patient tumors, which contains >8,000 samples of 32 cancer types from The Cancer Genome Atlas and other independent patient cohorts. The second application focuses on the RPPA data of cancer cell lines and contains >650 independent cell lines across 19 lineages. Many of these cell lines have publicly available, high-quality DNA, RNA, and drug screening data. TCPA provides various analytic and visualization modules to help cancer researchers explore these datasets and generate testable hypotheses in an effective and intuitive manner. Cancer Res; 77(21); e51-54. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 29092939      PMCID: PMC5679242          DOI: 10.1158/0008-5472.CAN-17-0369

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  11 in total

1.  Reverse-phase protein lysate microarrays for cell signaling analysis.

Authors:  Brett Spurrier; Sundhar Ramalingam; Satoshi Nishizuka
Journal:  Nat Protoc       Date:  2008       Impact factor: 13.491

2.  Development of a robust classifier for quality control of reverse-phase protein arrays.

Authors:  Zhenlin Ju; Wenbin Liu; Paul L Roebuck; Doris R Siwak; Nianxiang Zhang; Yiling Lu; Michael A Davies; Rehan Akbani; John N Weinstein; Gordon B Mills; Kevin R Coombes
Journal:  Bioinformatics       Date:  2014-11-06       Impact factor: 6.937

3.  Reverse phase protein array: validation of a novel proteomic technology and utility for analysis of primary leukemia specimens and hematopoietic stem cells.

Authors:  Raoul Tibes; Yihua Qiu; Yiling Lu; Bryan Hennessy; Michael Andreeff; Gordon B Mills; Steven M Kornblau
Journal:  Mol Cancer Ther       Date:  2006-10       Impact factor: 6.261

4.  The Cancer Genome Atlas Pan-Cancer analysis project.

Authors:  John N Weinstein; Eric A Collisson; Gordon B Mills; Kenna R Mills Shaw; Brad A Ozenberger; Kyle Ellrott; Ilya Shmulevich; Chris Sander; Joshua M Stuart
Journal:  Nat Genet       Date:  2013-10       Impact factor: 38.330

5.  A Technical Assessment of the Utility of Reverse Phase Protein Arrays for the Study of the Functional Proteome in Non-microdissected Human Breast Cancers.

Authors:  Bryan T Hennessy; Yiling Lu; Ana Maria Gonzalez-Angulo; Mark S Carey; Simen Myhre; Zhenlin Ju; Michael A Davies; Wenbin Liu; Kevin Coombes; Funda Meric-Bernstam; Isabelle Bedrosian; Mollianne McGahren; Roshan Agarwal; Fan Zhang; Jens Overgaard; Jan Alsner; Richard M Neve; Wen-Lin Kuo; Joe W Gray; Anne-Lise Borresen-Dale; Gordon B Mills
Journal:  Clin Proteomics       Date:  2010-12       Impact factor: 3.988

Review 6.  Use of reverse phase protein microarrays and reference standard development for molecular network analysis of metastatic ovarian carcinoma.

Authors:  Katherine M Sheehan; Valerie S Calvert; Elaine W Kay; Yiling Lu; David Fishman; Virginia Espina; Joy Aquino; Runa Speer; Robyn Araujo; Gordon B Mills; Lance A Liotta; Emanuel F Petricoin; Julia D Wulfkuhle
Journal:  Mol Cell Proteomics       Date:  2005-01-25       Impact factor: 5.911

7.  Proteomic profiling of the NCI-60 cancer cell lines using new high-density reverse-phase lysate microarrays.

Authors:  Satoshi Nishizuka; Lu Charboneau; Lynn Young; Sylvia Major; William C Reinhold; Mark Waltham; Hosein Kouros-Mehr; Kimberly J Bussey; Jae K Lee; Virginia Espina; Peter J Munson; Emanuel Petricoin; Lance A Liotta; John N Weinstein
Journal:  Proc Natl Acad Sci U S A       Date:  2003-11-17       Impact factor: 11.205

8.  TCPA: a resource for cancer functional proteomics data.

Authors:  Jun Li; Yiling Lu; Rehan Akbani; Zhenlin Ju; Paul L Roebuck; Wenbin Liu; Ji-Yeon Yang; Bradley M Broom; Roeland G W Verhaak; David W Kane; Chris Wakefield; John N Weinstein; Gordon B Mills; Han Liang
Journal:  Nat Methods       Date:  2013-09-15       Impact factor: 28.547

9.  A pan-cancer proteomic perspective on The Cancer Genome Atlas.

Authors:  Rehan Akbani; Patrick Kwok Shing Ng; Henrica M J Werner; Maria Shahmoradgoli; Fan Zhang; Zhenlin Ju; Wenbin Liu; Ji-Yeon Yang; Kosuke Yoshihara; Jun Li; Shiyun Ling; Elena G Seviour; Prahlad T Ram; John D Minna; Lixia Diao; Pan Tong; John V Heymach; Steven M Hill; Frank Dondelinger; Nicolas Städler; Lauren A Byers; Funda Meric-Bernstam; John N Weinstein; Bradley M Broom; Roeland G W Verhaak; Han Liang; Sach Mukherjee; Yiling Lu; Gordon B Mills
Journal:  Nat Commun       Date:  2014-05-29       Impact factor: 14.919

10.  E-cadherin expression and prognosis of head and neck squamous cell carcinoma: evidence from 19 published investigations.

Authors:  Xusheng Ren; Jianning Wang; Xuefen Lin; Xuxia Wang
Journal:  Onco Targets Ther       Date:  2016-04-26       Impact factor: 4.147

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  40 in total

1.  Computational Analyses Connect Small-Molecule Sensitivity to Cellular Features Using Large Panels of Cancer Cell Lines.

Authors:  Matthew G Rees; Brinton Seashore-Ludlow; Paul A Clemons
Journal:  Methods Mol Biol       Date:  2019

2.  TCPA v3.0: An Integrative Platform to Explore the Pan-Cancer Analysis of Functional Proteomic Data.

Authors:  Mei-Ju May Chen; Jun Li; Yumeng Wang; Rehan Akbani; Yiling Lu; Gordon B Mills; Han Liang
Journal:  Mol Cell Proteomics       Date:  2019-06-14       Impact factor: 5.911

3.  Bayesian data integration and variable selection for pan-cancer survival prediction using protein expression data.

Authors:  Arnab Kumar Maity; Anirban Bhattacharya; Bani K Mallick; Veerabhadran Baladandayuthapani
Journal:  Biometrics       Date:  2019-10-03       Impact factor: 2.571

Review 4.  PHLPPing the balance: restoration of protein kinase C in cancer.

Authors:  Hannah Tovell; Alexandra C Newton
Journal:  Biochem J       Date:  2021-01-29       Impact factor: 3.857

Review 5.  Src: coordinating metabolism in cancer.

Authors:  Sara G Pelaz; Arantxa Tabernero
Journal:  Oncogene       Date:  2022-10-10       Impact factor: 8.756

6.  Visual barcodes for clonal-multiplexing of live microscopy-based assays.

Authors:  Tom Kaufman; Erez Nitzan; Nir Firestein; Miriam Bracha Ginzberg; Seshu Iyengar; Nish Patel; Rotem Ben-Hamo; Ziv Porat; Jaryd Hunter; Andreas Hilfinger; Varda Rotter; Ran Kafri; Ravid Straussman
Journal:  Nat Commun       Date:  2022-05-18       Impact factor: 17.694

7.  A comparative view on the expression patterns of PD-L1 and PD-1 in soft tissue sarcomas.

Authors:  Thomas G P Grünewald; Thomas Knösel; Martin F Orth; Veit Leonhard Buecklein; Eric Kampmann; Marion Subklewe; Elfriede Noessner; Florencia Cidre-Aranaz; Laura Romero-Pérez; Fabienne Sophie Wehweck; Lars Lindner; Rolf Issels; Thomas Kirchner; Annelore Altendorf-Hofmann
Journal:  Cancer Immunol Immunother       Date:  2020-03-28       Impact factor: 6.968

8.  E6-mediated activation of JNK drives EGFR signalling to promote proliferation and viral oncoprotein expression in cervical cancer.

Authors:  Ethan L Morgan; James A Scarth; Molly R Patterson; Christopher W Wasson; Georgia C Hemingway; Diego Barba-Moreno; Andrew Macdonald
Journal:  Cell Death Differ       Date:  2020-12-10       Impact factor: 15.828

9.  miR-138-5p induces aggressive traits by targeting Trp53 expression in murine melanoma cells, and correlates with poor prognosis of melanoma patients.

Authors:  Adriana Taveira da Cruz; Aline Hunger; Fabiana Henriques Machado de Melo; Ana Carolina Monteiro; Geneviève Catherine Paré; Dulce Lai; Débora Kristina Alves-Fernandes; Ana Luisa Pedroso Ayub; Esteban Mauricio Cordero; José Franco da Silveira Filho; Regine Schneider-Stock; Bryan Eric Strauss; Victor Tron; Miriam Galvonas Jasiulionis
Journal:  Neoplasia       Date:  2021-07-08       Impact factor: 5.715

10.  The Proteomic Landscape of Growth Factor Signaling Networks Associated with FAT1 Mutations in Head and Neck Cancers.

Authors:  Zhengjia Chen; Chao Zhang; Jianhong Chen; Dongsheng Wang; Jieqi Tu; Carter Van Waes; Nabil F Saba; Zhuo G Chen; Zhong Chen
Journal:  Cancer Res       Date:  2021-06-24       Impact factor: 13.312

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