Literature DB >> 32347222

ProteoViz: a tool for the analysis and interactive visualization of phosphoproteomics data.

Aaron J Storey1, Kevin S Naceanceno, Renny S Lan, Charity L Washam, Lisa M Orr, Samuel G Mackintosh, Alan J Tackett, Rick D Edmondson, Zhengyu Wang, Hong-Yu Li, Brendan Frett, Samantha Kendrick, Stephanie D Byrum.   

Abstract

Quantitative proteomics generates large datasets with increasing depth and quantitative information. With the advance of mass spectrometry and increasingly larger data sets, streamlined methodologies and tools for analysis and visualization of phosphoproteomics are needed both at the protein and modified peptide levels. To assist in addressing this need, we developed ProteoViz, which includes a set of R scripts that perform normalization and differential expression analysis of both the proteins and enriched phosphorylated peptides, and identify sequence motifs, kinases, and gene set enrichment pathways. The tool generates interactive visualization plots that allow users to interact with the phosphoproteomics results and quickly identify proteins and phosphorylated peptides of interest for their biological study. The tool also links significant phosphosites with sequence motifs and pathways that will help explain the experimental conditions and guide future experiments. Here, we present the workflow and demonstrate its functionality by analyzing a phosphoproteomic data set from two lymphoma cell lines treated with kinase inhibitors. The scripts and data are freely available at and via the ProteomeXchange with identifier PXD015606.

Entities:  

Year:  2020        PMID: 32347222      PMCID: PMC7423749          DOI: 10.1039/c9mo00149b

Source DB:  PubMed          Journal:  Mol Omics        ISSN: 2515-4184


  19 in total

1.  Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis.

Authors:  Ludovic C Gillet; Pedro Navarro; Stephen Tate; Hannes Röst; Nathalie Selevsek; Lukas Reiter; Ron Bonner; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2012-01-18       Impact factor: 5.911

2.  Uncovering Phosphorylation-Based Specificities through Functional Interaction Networks.

Authors:  Omar Wagih; Naoyuki Sugiyama; Yasushi Ishihama; Pedro Beltrao
Journal:  Mol Cell Proteomics       Date:  2015-11-16       Impact factor: 5.911

3.  An iterative statistical approach to the identification of protein phosphorylation motifs from large-scale data sets.

Authors:  Daniel Schwartz; Steven P Gygi
Journal:  Nat Biotechnol       Date:  2005-11       Impact factor: 54.908

4.  Linear models and empirical bayes methods for assessing differential expression in microarray experiments.

Authors:  Gordon K Smyth
Journal:  Stat Appl Genet Mol Biol       Date:  2004-02-12

5.  Universal sample preparation method for proteome analysis.

Authors:  Jacek R Wiśniewski; Alexandre Zougman; Nagarjuna Nagaraj; Matthias Mann
Journal:  Nat Methods       Date:  2009-04-19       Impact factor: 28.547

6.  Novel parallelized quadrupole/linear ion trap/Orbitrap tribrid mass spectrometer improving proteome coverage and peptide identification rates.

Authors:  Michael W Senko; Philip M Remes; Jesse D Canterbury; Raman Mathur; Qingyu Song; Shannon M Eliuk; Chris Mullen; Lee Earley; Mark Hardman; Justin D Blethrow; Huy Bui; August Specht; Oliver Lange; Eduard Denisov; Alexander Makarov; Stevan Horning; Vlad Zabrouskov
Journal:  Anal Chem       Date:  2013-11-27       Impact factor: 6.986

7.  A method for the quantitative recovery of protein in dilute solution in the presence of detergents and lipids.

Authors:  D Wessel; U I Flügge
Journal:  Anal Biochem       Date:  1984-04       Impact factor: 3.365

8.  Deep Coverage of Global Protein Expression and Phosphorylation in Breast Tumor Cell Lines Using TMT 10-plex Isobaric Labeling.

Authors:  Fang-Ke Huang; Guoan Zhang; Kevin Lawlor; Arpi Nazarian; John Philip; Paul Tempst; Noah Dephoure; Thomas A Neubert
Journal:  J Proteome Res       Date:  2017-02-03       Impact factor: 4.466

9.  Benchmarking common quantification strategies for large-scale phosphoproteomics.

Authors:  Alexander Hogrebe; Louise von Stechow; Dorte B Bekker-Jensen; Brian T Weinert; Christian D Kelstrup; Jesper V Olsen
Journal:  Nat Commun       Date:  2018-03-13       Impact factor: 14.919

10.  Integration of TP53, DREAM, MMB-FOXM1 and RB-E2F target gene analyses identifies cell cycle gene regulatory networks.

Authors:  Martin Fischer; Patrick Grossmann; Megha Padi; James A DeCaprio
Journal:  Nucleic Acids Res       Date:  2016-06-08       Impact factor: 16.971

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  5 in total

Review 1.  Phosphoproteomics: a valuable tool for uncovering molecular signaling in cancer cells.

Authors:  Jacqueline S Gerritsen; Forest M White
Journal:  Expert Rev Proteomics       Date:  2021-09-16       Impact factor: 4.250

2.  Parallel kinase pathways stimulate actin polymerization at depolarized mitochondria.

Authors:  Tak Shun Fung; Rajarshi Chakrabarti; Jana Kollasser; Klemens Rottner; Theresia E B Stradal; Frieda Kage; Henry N Higgs
Journal:  Curr Biol       Date:  2022-03-14       Impact factor: 10.900

3.  Ovalbumin Antigen-Specific Activation of Human T Cell Receptor Closely Resembles Soluble Antibody Stimulation as Revealed by BOOST Phosphotyrosine Proteomics.

Authors:  Xien Yu Chua; Arthur Salomon
Journal:  J Proteome Res       Date:  2021-05-21       Impact factor: 5.370

Review 4.  Investigating Post-translational Modifications in Neuropsychiatric Disease: The Next Frontier in Human Post-mortem Brain Research.

Authors:  Melanie J Grubisha; Robert A Sweet; Matthew L MacDonald
Journal:  Front Mol Neurosci       Date:  2021-07-16       Impact factor: 5.639

5.  Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer.

Authors:  Kevin Chappell; Kanishka Manna; Charity L Washam; Stefan Graw; Duah Alkam; Matthew D Thompson; Maroof Khan Zafar; Lindsey Hazeslip; Christopher Randolph; Allen Gies; Jordan T Bird; Alicia K Byrd; Sayem Miah; Stephanie D Byrum
Journal:  Mol Omics       Date:  2021-10-11
  5 in total

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