Literature DB >> 24152167

Tools to covisualize and coanalyze proteomic data with genomes and transcriptomes: validation of genes and alternative mRNA splicing.

Chi Nam Ignatius Pang1, Aidan P Tay, Carlos Aya, Natalie A Twine, Linda Harkness, Gene Hart-Smith, Samantha Z Chia, Zhiliang Chen, Nandan P Deshpande, Nadeem O Kaakoush, Hazel M Mitchell, Moustapha Kassem, Marc R Wilkins.   

Abstract

Direct links between proteomic and genomic/transcriptomic data are not frequently made, partly because of lack of appropriate bioinformatics tools. To help address this, we have developed the PG Nexus pipeline. The PG Nexus allows users to covisualize peptides in the context of genomes or genomic contigs, along with RNA-seq reads. This is done in the Integrated Genome Viewer (IGV). A Results Analyzer reports the precise base position where LC-MS/MS-derived peptides cover genes or gene isoforms, on the chromosomes or contigs where this occurs. In prokaryotes, the PG Nexus pipeline facilitates the validation of genes, where annotation or gene prediction is available, or the discovery of genes using a "virtual protein"-based unbiased approach. We illustrate this with a comprehensive proteogenomics analysis of two strains of Campylobacter concisus . For higher eukaryotes, the PG Nexus facilitates gene validation and supports the identification of mRNA splice junction boundaries and splice variants that are protein-coding. This is illustrated with an analysis of splice junctions covered by human phosphopeptides, and other examples of relevance to the Chromosome-Centric Human Proteome Project. The PG Nexus is open-source and available from https://github.com/IntersectAustralia/ap11_Samifier. It has been integrated into Galaxy and made available in the Galaxy tool shed.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 24152167     DOI: 10.1021/pr400820p

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


  14 in total

1.  GAPP: A Proteogenomic Software for Genome Annotation and Global Profiling of Post-translational Modifications in Prokaryotes.

Authors:  Jia Zhang; Ming-Kun Yang; Honghui Zeng; Feng Ge
Journal:  Mol Cell Proteomics       Date:  2016-09-14       Impact factor: 5.911

Review 2.  Methods, Tools and Current Perspectives in Proteogenomics.

Authors:  Kelly V Ruggles; Karsten Krug; Xiaojing Wang; Karl R Clauser; Jing Wang; Samuel H Payne; David Fenyö; Bing Zhang; D R Mani
Journal:  Mol Cell Proteomics       Date:  2017-04-29       Impact factor: 5.911

3.  A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes.

Authors:  Christoph N Schlaffner; Georg J Pirklbauer; Andreas Bender; Judith A J Steen; Jyoti S Choudhary
Journal:  J Vis Exp       Date:  2018-05-22       Impact factor: 1.355

4.  JUMPg: An Integrative Proteogenomics Pipeline Identifying Unannotated Proteins in Human Brain and Cancer Cells.

Authors:  Yuxin Li; Xusheng Wang; Ji-Hoon Cho; Timothy I Shaw; Zhiping Wu; Bing Bai; Hong Wang; Suiping Zhou; Thomas G Beach; Gang Wu; Jinghui Zhang; Junmin Peng
Journal:  J Proteome Res       Date:  2016-06-13       Impact factor: 4.466

Review 5.  Proteogenomics: Integrating Next-Generation Sequencing and Mass Spectrometry to Characterize Human Proteomic Variation.

Authors:  Gloria M Sheynkman; Michael R Shortreed; Anthony J Cesnik; Lloyd M Smith
Journal:  Annu Rev Anal Chem (Palo Alto Calif)       Date:  2016-03-30       Impact factor: 10.745

6.  High throughput discovery of protein variants using proteomics informed by transcriptomics.

Authors:  Shyamasree Saha; David A Matthews; Conrad Bessant
Journal:  Nucleic Acids Res       Date:  2018-06-01       Impact factor: 16.971

7.  Differential ion mobility spectrometry coupled to tandem mass spectrometry enables targeted leukemia antigen detection.

Authors:  Udara Dharmasiri; Samantha L Isenberg; Gary L Glish; Paul M Armistead
Journal:  J Proteome Res       Date:  2014-09-11       Impact factor: 4.466

8.  Flexible and accessible workflows for improved proteogenomic analysis using the Galaxy framework.

Authors:  Pratik D Jagtap; James E Johnson; Getiria Onsongo; Fredrik W Sadler; Kevin Murray; Yuanbo Wang; Gloria M Shenykman; Sricharan Bandhakavi; Lloyd M Smith; Timothy J Griffin
Journal:  J Proteome Res       Date:  2014-10-23       Impact factor: 4.466

9.  proBAMsuite, a Bioinformatics Framework for Genome-Based Representation and Analysis of Proteomics Data.

Authors:  Xiaojing Wang; Robbert J C Slebos; Matthew C Chambers; David L Tabb; Daniel C Liebler; Bing Zhang
Journal:  Mol Cell Proteomics       Date:  2015-12-11       Impact factor: 5.911

Review 10.  A survey of best practices for RNA-seq data analysis.

Authors:  Ana Conesa; Pedro Madrigal; Sonia Tarazona; David Gomez-Cabrero; Alejandra Cervera; Andrew McPherson; Michał Wojciech Szcześniak; Daniel J Gaffney; Laura L Elo; Xuegong Zhang; Ali Mortazavi
Journal:  Genome Biol       Date:  2016-01-26       Impact factor: 13.583

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.