Evidence map›Paper›PMID 24823668›Full record

ArticleGenome research2014

Heritability and genetic basis of protein level variation in an outbred population.

Leopold Parts, Yi-Chun Liu, Manu M Tekkedil, Lars M Steinmetz, Amy A Caudy, Andrew G Fraser, Charles Boone, Brenda J Andrews, Adam P Rosebrock

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed, 59 citations in OpenAlex.

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  9. Variation in upstream open reading frames contributes to allelic diversity in maize protein abundance.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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  14. CompensatoryEvolution letters · 2019
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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

9 authors at 2 institutions in 3 countries.

Leopold PartsDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, M5S3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, M5S3E1, Canada leopold.parts@utoronto.ca charlie.boone@utoronto.ca brenda.andrews@utoronto.ca adam.rosebrock@utoronto.ca.
Yi-Chun LiuDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, M5S3E1, Canada;
Manu M TekkedilEuropean Molecular Biology Laboratory (EMBL), Genome Biology Unit, 69117 Heidelberg, Germany;
Lars M SteinmetzEuropean Molecular Biology Laboratory (EMBL), Genome Biology Unit, 69117 Heidelberg, Germany; Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA;
Amy A CaudyDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, M5S3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, M5S3E1, Canada.
Andrew G FraserDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, M5S3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, M5S3E1, Canada.
Charles BooneDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, M5S3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, M5S3E1, Canada leopold.parts@utoronto.ca charlie.boone@utoronto.ca brenda.andrews@utoronto.ca adam.rosebrock@utoronto.ca.
Brenda J AndrewsDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, M5S3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, M5S3E1, Canada leopold.parts@utoronto.ca charlie.boone@utoronto.ca brenda.andrews@utoronto.ca adam.rosebrock@utoronto.ca.
Adam P RosebrockDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, M5S3E1, Canada; leopold.parts@utoronto.ca charlie.boone@utoronto.ca brenda.andrews@utoronto.ca adam.rosebrock@utoronto.ca.
University of Toronto · CAEuropean Molecular Biology Laboratory · DE

Funding

WHOLE YEAST GENOME TRANSCRIPTIONAL AND FUNCTIONAL GENE MAPS--A FEASIBILITY STUDYP01HG000205 · NHGRI · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE, HOWE, ROGER THOMAS · 1990 to 2016
$120.9M
Quantitative Trait Dissection by Reciprocal HemizygosityR01GM068717 · NIGMS · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE · 2003 to 2014
$6.5M
CIHRNHGRI NIH HHS P01 HG000205NIGMS NIH HHS R01 GM068717
6 · The paper itself

Abstract

The genetic basis of heritable traits has been studied for decades. Although recent mapping efforts have elucidated genetic determinants of transcript levels, mapping of protein abundance has lagged. Here, we analyze levels of 4084 GFP-tagged yeast proteins in the progeny of a cross between a laboratory and a wild strain using flow cytometry and high-content microscopy. The genotype of trans variants contributed little to protein level variation between individual cells but explained >50% of the variance in the population's average protein abundance for half of the GFP fusions tested. To map trans-acting factors responsible, we performed flow sorting and bulk segregant analysis of 25 proteins, finding a median of five protein quantitative trait loci (pQTLs) per GFP fusion. Further, we find that cis-acting variants predominate; the genotype of a gene and its surrounding region had a large effect on protein level six times more frequently than the rest of the genome combined. We present evidence for both shared and independent genetic control of transcript and protein abundance: More than half of the expression QTLs (eQTLs) contribute to changes in protein levels of regulated genes, but several pQTLs do not affect their cognate transcript levels. Allele replacements of genes known to underlie trans eQTL hotspots confirmed the correlation of effects on mRNA and protein levels. This study represents the first genome-scale measurement of genetic contribution to protein levels in single cells and populations, identifies more than a hundred trans pQTLs, and validates the propagation of effects associated with transcript variation to protein abundance.

Indexed as

Chromosome MappingEvolution, MolecularGene ExpressionGene FrequencyGenotypeQuantitative Trait LociRNA, FungalRNA, MessengerSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsRNA, FungalRNA, MessengerSaccharomyces cerevisiae Proteins

Identifiers

PMID24823668
PMCPMC4120089
OpenAlexW2053674619

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.