Evidence map›Paper›PMID 30108239›Full record

ArticleScientific reports2018

A Methodological Assessment and Characterization of Genetically-Driven Variation in Three Human Phosphoproteomes.

Brett W Engelmann, Chiaowen Joyce Hsiao, John D Blischak, Yannick Fourne, Zia Khan, Michael Ford, Yoav Gilad

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Brett W EngelmannDepartment of Human Genetics, University of Chicago, Chicago, Illinois, USA. bengelmann@uchicago.edu.
Chiaowen Joyce HsiaoDepartment of Human Genetics, University of Chicago, Chicago, Illinois, USA.
John D BlischakDepartment of Human Genetics, University of Chicago, Chicago, Illinois, USA.ORCID 0000-0003-2634-9879
Yannick FourneDepartment of Human Genetics, University of Chicago, Chicago, Illinois, USA.
Zia KhanDepartment of Human Genetics, University of Chicago, Chicago, Illinois, USA.
Michael FordMS Bioworks, LLC, 3950, Varsity Drive, Ann Arbor, Michigan, USA.
Yoav GiladDepartment of Human Genetics, University of Chicago, Chicago, Illinois, USA. gilad@uchicago.edu.

Funding

Integrating genomics and gene expression analyses to map CVD-associated lociR01HL092206 · NHLBI · UNIVERSITY OF CHICAGO · PI GILAD, YOAV · 2009 to 2021
$7.3M
Tools for Visualization of Geographic Structure in Population Genomic DataU01CA198933 · NCI · UNIVERSITY OF CHICAGO · PI NOVEMBRE, JOHN · 2015 to 2017
$1.2M
The Genetic Basis for Post-transcriptional Regulatory Variation in HumansF32HG006972 · NHGRI · UNIVERSITY OF CHICAGO · PI KHAN, ZIA · 2012 to 2013
$61k
The Genetic Determinants of Differential Phosphoproteome Response to DNA DamageF32GM116390 · NIGMS · UNIVERSITY OF CHICAGO · PI ENGELMANN, BRETT WARREN · 2015 to 2015
$21k
NCI NIH HHS U01 CA198933NHGRI NIH HHS F32 HG006972NHLBI NIH HHS R01 HL092206NIGMS NIH HHS F32 GM116390
6 · The paper itself

Abstract

Phosphorylation of proteins on serine, threonine, and tyrosine residues is a ubiquitous post-translational modification that plays a key part of essentially every cell signaling process. It is reasonable to assume that inter-individual variation in protein phosphorylation may underlie phenotypic differences, as has been observed for practically any other molecular regulatory phenotype. However, we do not know much about the extent of inter-individual variation in phosphorylation because it is quite challenging to perform a quantitative high throughput study to assess inter-individual variation in any post-translational modification. To test our ability to address this challenge with SILAC-based mass spectrometry, we quantified phosphorylation levels for three genotyped human cell lines within a nested experimental framework, and found that genetic background is the primary determinant of phosphoproteome variation. We uncovered multiple functional, biophysical, and genetic associations with germline driven phosphopeptide variation. Variants affecting protein levels or structure were among these associations, with the latter presenting, on average, a stronger effect. Interestingly, we found evidence that is consistent with a phosphopeptide variability buffering effect endowed from properties enriched within longer proteins. Because the small sample size in this 'pilot' study may limit the applicability of our genetic observations, we also undertook a thorough technical assessment of our experimental workflow to aid further efforts. Taken together, these results provide the foundation for future work to characterize inter-individual variation in post-translational modification levels and reveal novel insights into the nature of inter-individual variation in phosphorylation.

Indexed as

Biological Variation, PopulationCell Line, TumorChromatography, High Pressure LiquidDatasets as TopicGenotypeHumansPhosphopeptidesPhosphoproteinsPhosphorylationPolymorphism, Single NucleotideProtein Processing, Post-TranslationalProteomeProteomicsTandem Mass SpectrometryPhosphopeptidesPhosphoproteinsProteome

Identifiers

PMID30108239
PMCPMC6092387

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.