Evidence map›Paper›PMID 34039258›Full record

ArticleBMC bioinformatics2021

PTMViz: a tool for analyzing and visualizing histone post translational modification data.

Kevin Chappell, Stefan Graw, Charity L Washam, Aaron J Storey, Chris Bolden, Eric C Peterson, Stephanie D Byrum

Abstract read
In one paragraph

Article in BMC bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Understanding PTM Cross Talk Through a Visualization Tool, PTMViz.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  4. 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

7 authors.

Kevin ChappellDepartment of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, 4301 W Markham St. slot 516, Little Rock, AR, 72205, USA.
Stefan GrawDepartment of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, 4301 W Markham St. slot 516, Little Rock, AR, 72205, USA.
Charity L WashamDepartment of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, 4301 W Markham St. slot 516, Little Rock, AR, 72205, USA.
Aaron J StoreyDepartment of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, 4301 W Markham St. slot 516, Little Rock, AR, 72205, USA.
Chris BoldenDepartment of Pharmacology and Toxicology, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA.
Eric C PetersonDepartment of Pharmacology and Toxicology, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA.
Stephanie D ByrumDepartment of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, 4301 W Markham St. slot 516, Little Rock, AR, 72205, USA. sbyrum@uams.edu.ORCID http://orcid.org/0000-0002-1783-3610

Funding

Translational Regulation in Normal Erythropoiesis and Diamond Blackfan AnemiaP20GM121293 · NIGMS · ARKANSAS CHILDREN'S HOSPITAL RES INST · PI Samrat Roy Choudhury · 2017 to 2026
$27.6M
Technology for Identification of Epiproteomes in Tissue SamplesR21DA041822 · NIDA · UNIV OF ARKANSAS FOR MED SCIS · PI TACKETT, ALAN · 2016 to 2017
$373k
National Science Foundation OIA1946391NIDA NIH HHS R21 DA041822NIDA NIH HHS R21DA041822NIGMS NIH HHS P20 GM121293NIGMS NIH HHS P20GM121293
6 · The paper itself

Abstract

backgroundHistone post-translational modifications (PTMs) play an important role in our system by regulating the structure of chromatin and therefore contribute to the regulation of gene and protein expression. Irregularities in histone PTMs can lead to a variety of different diseases including various forms of cancer. Histone modifications are analyzed using high resolution mass spectrometry, which generate large amounts of data that requires sophisticated bioinformatics tools for analysis and visualization. PTMViz is designed for downstream differential abundance analysis and visualization of both protein and/or histone modifications.

resultsPTMViz provides users with data tables and visualization plots of significantly differentiated proteins and histone PTMs between two sample groups. All the data is packaged into interactive data tables and graphs using the Shiny platform to help the user explore the results in a fast and efficient manner to assess if changes in the system are due to protein abundance changes or epigenetic changes. In the example data provided, we identified several proteins differentially regulated in the dopaminergic pathway between mice treated with methamphetamine compared to a saline control. We also identified histone post-translational modifications including histone H3K9me, H3K27me3, H4K16ac, and that were regulated due to drug exposure.

conclusionsHistone modifications play an integral role in the regulation of gene expression. PTMViz provides an interactive platform for analyzing proteins and histone post-translational modifications from mass spectrometry data in order to quickly identify differentially expressed proteins and PTMs.

Indexed as

HistonesProtein Processing, Post-TranslationalAnimalsChromatinHistone CodeMethylationMiceChromatinHistonesDifferential abundanceHistone post-translational modificationsProteomicsShiny

Identifiers

PMID34039258
PMCPMC8157737

What OpenQuestion holds

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LicenceCC BY
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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.