Literature DB >> 28410298

Identifying Abundant Immunotherapy and Other Targets in Solid Tumors: Integrating RNA-seq and Mass Spectrometry Proteomics Data Sets.

Wei Zhao1, Matthew Fitzgibbon, Lindsay Bergan, Nigel Clegg, David Crispin, Gordon B Mills, Martin McIntosh.   

Abstract

RNA-seq and mass-spectrometry proteomics combined with growing data repositories have greatly increased the capacity to identify candidate proteins or protein sequence variants that share properties of ideal therapy targets, which include being abundant in cancer cells, absent or rare in adult organs (especially vital organs), and shared by many patient tumors. RNA-seq and fixed content arrays can identify genes that are overexpressed or misexpressed in cancer. RNA-seq is uniquely suited to identifying cancer-specific sequence variants. We review factors relevant for determining whether products of genes that are abundant or differentially abundant in RNA-seq are concordant or discordant with proteins that are identified as abundant or differentially abundant in mass-spectrometry proteomics assays.

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Year:  2017        PMID: 28410298      PMCID: PMC5839124          DOI: 10.1097/PPO.0000000000000258

Source DB:  PubMed          Journal:  Cancer J        ISSN: 1528-9117            Impact factor:   3.360


  26 in total

1.  Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

Authors:  Andrew Keller; Alexey I Nesvizhskii; Eugene Kolker; Ruedi Aebersold
Journal:  Anal Chem       Date:  2002-10-15       Impact factor: 6.986

2.  TANDEM: matching proteins with tandem mass spectra.

Authors:  Robertson Craig; Ronald C Beavis
Journal:  Bioinformatics       Date:  2004-02-19       Impact factor: 6.937

3.  A Heuristic method for assigning a false-discovery rate for protein identifications from Mascot database search results.

Authors:  D Brent Weatherly; James A Atwood; Todd A Minning; Cameron Cavola; Rick L Tarleton; Ron Orlando
Journal:  Mol Cell Proteomics       Date:  2005-02-09       Impact factor: 5.911

Review 4.  Global signatures of protein and mRNA expression levels.

Authors:  Raquel de Sousa Abreu; Luiz O Penalva; Edward M Marcotte; Christine Vogel
Journal:  Mol Biosyst       Date:  2009-10-01

5.  Statistical inference from multiple iTRAQ experiments without using common reference standards.

Authors:  Shelley M Herbrich; Robert N Cole; Keith P West; Kerry Schulze; James D Yager; John D Groopman; Parul Christian; Lee Wu; Robert N O'Meally; Damon H May; Martin W McIntosh; Ingo Ruczinski
Journal:  J Proteome Res       Date:  2013-01-16       Impact factor: 4.466

6.  Proteogenomic characterization of human colon and rectal cancer.

Authors:  Bing Zhang; Jing Wang; Xiaojing Wang; Jing Zhu; Qi Liu; Zhiao Shi; Matthew C Chambers; Lisa J Zimmerman; Kent F Shaddox; Sangtae Kim; Sherri R Davies; Sean Wang; Pei Wang; Christopher R Kinsinger; Robert C Rivers; Henry Rodriguez; R Reid Townsend; Matthew J C Ellis; Steven A Carr; David L Tabb; Robert J Coffey; Robbert J C Slebos; Daniel C Liebler
Journal:  Nature       Date:  2014-07-20       Impact factor: 49.962

Review 7.  Insights into the regulation of protein abundance from proteomic and transcriptomic analyses.

Authors:  Christine Vogel; Edward M Marcotte
Journal:  Nat Rev Genet       Date:  2012-03-13       Impact factor: 53.242

Review 8.  Mapping the high throughput SEREX technology screening for novel tumor antigens.

Authors:  Shengtao Zhou; Tao Yi; Boya Zhang; Fuqiang Huang; Huiqiong Huang; Jing Tang; Xia Zhao
Journal:  Comb Chem High Throughput Screen       Date:  2012-03       Impact factor: 1.339

9.  TopHat: discovering splice junctions with RNA-Seq.

Authors:  Cole Trapnell; Lior Pachter; Steven L Salzberg
Journal:  Bioinformatics       Date:  2009-03-16       Impact factor: 6.937

10.  Gene-specific correlation of RNA and protein levels in human cells and tissues.

Authors:  Fredrik Edfors; Frida Danielsson; Björn M Hallström; Lukas Käll; Emma Lundberg; Fredrik Pontén; Björn Forsström; Mathias Uhlén
Journal:  Mol Syst Biol       Date:  2016-10-20       Impact factor: 11.429

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  2 in total

1.  Comprehensive Surfaceome Profiling to Identify and Validate Novel Cell-Surface Targets in Osteosarcoma.

Authors:  Yifei Wang; Xiangjun Tian; Wendong Zhang; Zhongting Zhang; Rossana Lazcano; Pooja Hingorani; Michael E Roth; Jonathan D Gill; Douglas J Harrison; Zhaohui Xu; Sylvester Jusu; Sankaranarayanan Kannan; Jing Wang; Alexander J Lazar; Eric J Earley; Stephen W Erickson; Tara Gelb; Philip Huxley; Johanna Lahdenranta; Gemma Mudd; Raushan T Kurmasheva; Peter J Houghton; Malcolm A Smith; Edward A Kolb; Richard Gorlick
Journal:  Mol Cancer Ther       Date:  2022-06-01       Impact factor: 6.009

Review 2.  The Role of Mass Spectrometry and Proteogenomics in the Advancement of HLA Epitope Prediction.

Authors:  Amanda L Creech; Ying S Ting; Scott P Goulding; John F K Sauld; Dominik Barthelme; Michael S Rooney; Terri A Addona; Jennifer G Abelin
Journal:  Proteomics       Date:  2018-02-23       Impact factor: 3.984

  2 in total

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