Literature DB >> 26204236

MI-PVT: A Tool for Visualizing the Chromosome-Centric Human Proteome.

Bharat Panwar1, Rajasree Menon1, Ridvan Eksi1, Gilbert S Omenn1, Yuanfang Guan1.   

Abstract

We have developed the web-based Michigan Proteome Visualization Tool (MI-PVT) to visualize and compare protein expression and isoform-level function across human chromosomes and tissues (http://guanlab.ccmb.med.umich.edu/mipvt). As proof of principle, we have populated the tool with Human Proteome Map (HPM) data. We were able to observe many biologically interesting features. From the vantage point of our chromosome 17 team, for example, we found more than 300 proteins from chromosome 17 expressed in each of the 30 tissues and cell types studied, with the highest number of expressed proteins being 685 in testis. Comparisons of expression levels across tissues showed low numbers of proteins expressed in esophagus, but esophagus had 12 cytoskeletal proteins coded on chromosome 17 with very high expression (>1000 spectral counts). This customized MI-PVT should be helpful for biologists to browse and study specific proteins and protein data sets across tissues and chromosomes. Users can upload any data of interest in MI-PVT for visualization. Our aim is to integrate extensive mass-spectrometric proteomic data into the tool to facilitate finding chromosome-centric protein expression and correlation across tissues.

Entities:  

Keywords:  MI-PVT; Michigan Proteome Visualization Tool; chromosome 17; esophagus; expression; testis

Mesh:

Substances:

Year:  2015        PMID: 26204236      PMCID: PMC4798783          DOI: 10.1021/acs.jproteome.5b00525

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


  42 in total

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2.  Open source system for analyzing, validating, and storing protein identification data.

Authors:  Robertson Craig; John P Cortens; Ronald C Beavis
Journal:  J Proteome Res       Date:  2004 Nov-Dec       Impact factor: 4.466

3.  PRIDE: the proteomics identifications database.

Authors:  Lennart Martens; Henning Hermjakob; Philip Jones; Marcin Adamski; Chris Taylor; David States; Kris Gevaert; Joël Vandekerckhove; Rolf Apweiler
Journal:  Proteomics       Date:  2005-08       Impact factor: 3.984

4.  Metrics for the Human Proteome Project 2015: Progress on the Human Proteome and Guidelines for High-Confidence Protein Identification.

Authors:  Gilbert S Omenn; Lydie Lane; Emma K Lundberg; Ronald C Beavis; Alexey I Nesvizhskii; Eric W Deutsch
Journal:  J Proteome Res       Date:  2015-07-30       Impact factor: 4.466

5.  A Scalable Approach for Protein False Discovery Rate Estimation in Large Proteomic Data Sets.

Authors:  Mikhail M Savitski; Mathias Wilhelm; Hannes Hahne; Bernhard Kuster; Marcus Bantscheff
Journal:  Mol Cell Proteomics       Date:  2015-05-17       Impact factor: 5.911

6.  Proteomics. Tissue-based map of the human proteome.

Authors:  Mathias Uhlén; Linn Fagerberg; Björn M Hallström; Cecilia Lindskog; Per Oksvold; Adil Mardinoglu; Åsa Sivertsson; Caroline Kampf; Evelina Sjöstedt; Anna Asplund; IngMarie Olsson; Karolina Edlund; Emma Lundberg; Sanjay Navani; Cristina Al-Khalili Szigyarto; Jacob Odeberg; Dijana Djureinovic; Jenny Ottosson Takanen; Sophia Hober; Tove Alm; Per-Henrik Edqvist; Holger Berling; Hanna Tegel; Jan Mulder; Johan Rockberg; Peter Nilsson; Jochen M Schwenk; Marica Hamsten; Kalle von Feilitzen; Mattias Forsberg; Lukas Persson; Fredric Johansson; Martin Zwahlen; Gunnar von Heijne; Jens Nielsen; Fredrik Pontén
Journal:  Science       Date:  2015-01-23       Impact factor: 47.728

Review 7.  Alternative mRNA transcription, processing, and translation: insights from RNA sequencing.

Authors:  Eleonora de Klerk; Peter A C 't Hoen
Journal:  Trends Genet       Date:  2015-01-30       Impact factor: 11.639

8.  CAPER 3.0: A Scalable Cloud-Based System for Data-Intensive Analysis of Chromosome-Centric Human Proteome Project Data Sets.

Authors:  Shuai Yang; Xinlei Zhang; Lihong Diao; Feifei Guo; Dan Wang; Zhongyang Liu; Honglei Li; Junjie Zheng; Jingshan Pan; Edouard C Nice; Dong Li; Fuchu He
Journal:  J Proteome Res       Date:  2015-03-27       Impact factor: 4.466

Review 9.  Tumour-cell invasion and migration: diversity and escape mechanisms.

Authors:  Peter Friedl; Katarina Wolf
Journal:  Nat Rev Cancer       Date:  2003-05       Impact factor: 60.716

10.  MIsoMine: a genome-scale high-resolution data portal of expression, function and networks at the splice isoform level in the mouse.

Authors:  Hong-Dong Li; Gilbert S Omenn; Yuanfang Guan
Journal:  Database (Oxford)       Date:  2015-05-07       Impact factor: 3.451

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  2 in total

Review 1.  Advances in the Chromosome-Centric Human Proteome Project: looking to the future.

Authors:  Young-Ki Paik; Gilbert S Omenn; William S Hancock; Lydie Lane; Christopher M Overall
Journal:  Expert Rev Proteomics       Date:  2017-11-10       Impact factor: 3.940

2.  miRmine: a database of human miRNA expression profiles.

Authors:  Bharat Panwar; Gilbert S Omenn; Yuanfang Guan
Journal:  Bioinformatics       Date:  2017-05-15       Impact factor: 6.937

  2 in total

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