Evidence map›Paper›PMID 26204236›Full record

ArticleJournal of proteome research2015

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

Bharat Panwar, Rajasree Menon, Ridvan Eksi, Gilbert S Omenn, Yuanfang Guan

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of proteome research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. miRmine: a database of human miRNA expression profiles.Bioinformatics (Oxford, England) · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Bharat PanwarDepartment of Computational Medicine and Bioinformatics, ‡Department of Internal Medicine, §Department of Human Genetics and School of Public Health, ∥Department of Electrical Engineering and Computer Science, University of Michigan , Ann Arbor, Michigan 48109, United States.
Rajasree MenonDepartment of Computational Medicine and Bioinformatics, ‡Department of Internal Medicine, §Department of Human Genetics and School of Public Health, ∥Department of Electrical Engineering and Computer Science, University of Michigan , Ann Arbor, Michigan 48109, United States.
Ridvan EksiDepartment of Computational Medicine and Bioinformatics, ‡Department of Internal Medicine, §Department of Human Genetics and School of Public Health, ∥Department of Electrical Engineering and Computer Science, University of Michigan , Ann Arbor, Michigan 48109, United States.
Gilbert S OmennDepartment of Computational Medicine and Bioinformatics, ‡Department of Internal Medicine, §Department of Human Genetics and School of Public Health, ∥Department of Electrical Engineering and Computer Science, University of Michigan , Ann Arbor, Michigan 48109, United States.
Yuanfang GuanDepartment of Computational Medicine and Bioinformatics, ‡Department of Internal Medicine, §Department of Human Genetics and School of Public Health, ∥Department of Electrical Engineering and Computer Science, University of Michigan , Ann Arbor, Michigan 48109, United States.
University of Michigan–Ann Arbor · US

Funding

Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
Machine Learning for Drug Response PredictionR35GM133346 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Yuanfang Guan · 2019 to 2026
$3.2M
Integrating context-specific networks to predict ataxia genesR21NS082212 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BURMEISTER, MARGIT, GUAN, YUANFANG · 2013 to 2014
$426k
NIEHS NIH HHS P30 ES017885NIEHS NIH HHS U54ES017885NIGMS NIH HHS R35 GM133346NINDS NIH HHS 1R21NS082212-01NINDS NIH HHS R21 NS082212
6 · The paper itself

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.

Indexed as

Chromosome MappingProteomeHumansProteomechromosome 17esophagusexpressionMichigan Proteome Visualization ToolMI-PVTtestis

Identifiers

PMID26204236
PMCPMC4798783
OpenAlexW1004453552

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.