Literature DB >> 25760677

PGTools: A Software Suite for Proteogenomic Data Analysis and Visualization.

Shivashankar H Nagaraj, Nicola Waddell, Anil K Madugundu1, Scott Wood, Alun Jones, Ramya A Mandyam, Katia Nones, John V Pearson, Sean M Grimmond2.   

Abstract

We describe PGTools, an open source software suite for analysis and visualization of proteogenomic data. PGTools comprises applications, libraries, customized databases, and visualization tools for analysis of mass-spectrometry data using combined proteomic and genomic backgrounds. A single command is sufficient to search databases, calculate false discovery rates, group and annotate proteins, generate peptide databases from RNA-Seq transcripts, identify altered proteins associated with cancer, and visualize genome scale peptide data sets using sophisticated visualization tools. We experimentally confirm a subset of proteogenomic peptides in human PANC-1 cells and demonstrate the utility of PGTools using a colorectal cancer data set that led to the identification of 203 novel protein coding regions missed by conventional proteomic approaches. PGTools should be equally useful for individual proteogenomic investigations as well as international initiatives such as chromosome-centric Human Proteome Project (C-HPP). PGTools is available at http://qcmg.org/bioinformatics/PGTools.

Entities:  

Keywords:  RNA-seq; automated workflows; cancer; mass spectrometry; mutated peptides; noncoding RNA; proteogenomics; pseudogenes

Mesh:

Substances:

Year:  2015        PMID: 25760677     DOI: 10.1021/acs.jproteome.5b00029

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.  Integrated Transcriptomic-Proteomic Analysis Using a Proteogenomic Workflow Refines Rat Genome Annotation.

Authors:  Dhirendra Kumar; Amit Kumar Yadav; Xinying Jia; Jason Mulvenna; Debasis Dash
Journal:  Mol Cell Proteomics       Date:  2015-11-11       Impact factor: 5.911

Review 4.  Proteogenomics from a bioinformatics angle: A growing field.

Authors:  Gerben Menschaert; David Fenyö
Journal:  Mass Spectrom Rev       Date:  2015-12-15       Impact factor: 10.946

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.  Proteoform Identification by Combining RNA-Seq and Top-Down Mass Spectrometry.

Authors:  Wenrong Chen; Xiaowen Liu
Journal:  J Proteome Res       Date:  2020-11-12       Impact factor: 4.466

7.  Detecting protein variants by mass spectrometry: a comprehensive study in cancer cell-lines.

Authors:  Javier A Alfaro; Alexandr Ignatchenko; Vladimir Ignatchenko; Ankit Sinha; Paul C Boutros; Thomas Kislinger
Journal:  Genome Med       Date:  2017-07-18       Impact factor: 11.117

8.  Discovery of coding regions in the human genome by integrated proteogenomics analysis workflow.

Authors:  Yafeng Zhu; Lukas M Orre; Henrik J Johansson; Mikael Huss; Jorrit Boekel; Mattias Vesterlund; Alejandro Fernandez-Woodbridge; Rui M M Branca; Janne Lehtiö
Journal:  Nat Commun       Date:  2018-03-02       Impact factor: 14.919

9.  Flexible Data Analysis Pipeline for High-Confidence Proteogenomics.

Authors:  Hendrik Weisser; James C Wright; Jonathan M Mudge; Petra Gutenbrunner; Jyoti S Choudhary
Journal:  J Proteome Res       Date:  2016-11-10       Impact factor: 4.466

10.  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

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