Evidence map›Paper›PMID 26704769›Full record

ArticleJournal of proteome research2016

Human Proteomic Variation Revealed by Combining RNA-Seq Proteogenomics and Global Post-Translational Modification (G-PTM) Search Strategy.

Anthony J Cesnik, Michael R Shortreed, Gloria M Sheynkman, Brian L Frey, Lloyd M Smith

Abstract read
In one paragraph

Article in Journal of proteome research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Spritz: A Proteogenomic Database Engine.Journal of proteome research · 2021
    Article
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  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Global Post-Translational Modification Discovery.Journal of proteome research · 2017
    Article
  13. 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.

Anthony J CesnikDepartment of Chemistry, University of Wisconsin-Madison , 1101 University Avenue, Madison, Wisconsin 53706, United States.
Michael R ShortreedDepartment of Chemistry, University of Wisconsin-Madison , 1101 University Avenue, Madison, Wisconsin 53706, United States.
Gloria M SheynkmanDepartment of Chemistry, University of Wisconsin-Madison , 1101 University Avenue, Madison, Wisconsin 53706, United States.
Brian L FreyDepartment of Chemistry, University of Wisconsin-Madison , 1101 University Avenue, Madison, Wisconsin 53706, United States.
Lloyd M SmithDepartment of Chemistry, University of Wisconsin-Madison , 1101 University Avenue, Madison, Wisconsin 53706, United States.

Funding

Research Training for Computation and Informatics in Biology and MedicineT15LM007359 · NLM · UNIVERSITY OF WISCONSIN-MADISON · PI Mark W. Craven, Colin Noel Dewey · 2002 to 2026
$22.6M
Institutional Training in the Genomic SciencesT32HG002760 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI Qiongshi Lu · 2003 to 2026
$17.7M
Wisconsin Center of Excellence in Genomics ScienceP50HG004952 · NHGRI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI OLIVIER, MICHAEL · 2009 to 2013
$13.0M
A Mechanical Nanomembrane Detector for Time-of-Flight Mass SpectrometryR01GM103315 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI SMITH, LLOYD M · 2012 to 2014
$889k
NHGRI NIH HHS 1P50HG004952NHGRI NIH HHS 5T32HG002760NHGRI NIH HHS P50 HG004952NHGRI NIH HHS T32 HG002760NIGMS NIH HHS R01 GM103315NIGMS NIH HHS R01GM103315NLM NIH HHS 5T15LM007359NLM NIH HHS T15 LM007359
6 · The paper itself

Abstract

Mass-spectrometry-based proteomic analysis underestimates proteomic variation due to the absence of variant peptides and posttranslational modifications (PTMs) from standard protein databases. Each individual carries thousands of missense mutations that lead to single amino acid variants, but these are missed because they are absent from generic proteomic search databases. Myriad types of protein PTMs play essential roles in biological processes but remain undetected because of increased false discovery rates in variable modification searches. We address these two fundamental shortcomings of bottom-up proteomics with two recently developed software tools. The first consists of workflows in Galaxy that mine RNA sequencing data to generate sample-specific databases containing variant peptides and products of alternative splicing events. The second tool applies a new strategy that alters the variable modification approach to consider only curated PTMs at specific positions, thereby avoiding the combinatorial explosion that traditionally leads to high false discovery rates. Using RNA-sequencing-derived databases with this Global Post-Translational Modification (G-PTM) search strategy revealed hundreds of single amino acid variant peptides, tens of novel splice junction peptides, and several hundred posttranslationally modified peptides in each of ten human cell lines.

Indexed as

SoftwareBase SequenceCell LineDatabases, ProteinHumansProtein Processing, Post-TranslationalProteogenomicsProteomicsbottom-up proteomicscancer cell linesG-PTMnovel splice junction (NSJ)proteogenomicsproteomic database searchPTMRNA-Seqsingle amino acid variant (SAV)

Identifiers

PMID26704769
PMCPMC4779408

What OpenQuestion holds

Textmetadata
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.