Evidence map›Paper›PMID 22893000›Full record

ArticleMolecular systems biology2012

Quantitative measurement of allele-specific protein expression in a diploid yeast hybrid by LC-MS.

Zia Khan, Joshua S Bloom, Sasan Amini, Mona Singh, David H Perlman, Amy A Caudy, Leonid Kruglyak

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 38 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Zia KhanDepartment of Computer Science, Princeton University, Princeton, NJ 08544, USA. zia@uchicago.edu
Joshua S Bloom
Sasan Amini
Mona Singh
David H Perlman
Amy A Caudy
Leonid Kruglyak
Princeton University · USHoward Hughes Medical Institute · US

Funding

Spatial Patterning During DevelopmentP50GM071508 · NIGMS · PRINCETON UNIVERSITY · PI POWELL, SUSAN M · 2004 to 2013
$30.6M
Quantitative Methods for Linkage and Associated StudiesR37MH059520 · NIMH · PRINCETON UNIVERSITY · PI KRUGLYAK, LEONID · 2002 to 2011
$3.6M
Howard Hughes Medical InstituteNIGMS NIH HHS P50 GM071508NIMH NIH HHS R37 MH059520NIMH NIH HHS R37 MH59520
6 · The paper itself

Abstract

Understanding the genetic basis of gene regulatory variation is a key goal of evolutionary and medical genetics. Regulatory variation can act in an allele-specific manner (cis-acting) or it can affect both alleles of a gene (trans-acting). Differential allele-specific expression (ASE), in which the expression of one allele differs from another in a diploid, implies the presence of cis-acting regulatory variation. While microarrays and high-throughput sequencing have enabled genome-wide measurements of transcriptional ASE, methods for measurement of protein ASE (pASE) have lagged far behind. We describe a flexible, accurate, and scalable strategy for measurement of pASE by liquid chromatography-coupled mass spectrometry (LC-MS). We apply this approach to a hybrid between the yeast species Saccharomyces cerevisiae and Saccharomyces bayanus. Our results provide the first analysis of the relative contribution of cis-acting and trans-acting regulatory differences to protein expression divergence between yeast species.

Indexed as

AllelesChromatography, LiquidFungal ProteinsGene Expression ProfilingGene Expression Regulation, FungalHumansMass SpectrometryProteomicsRegression AnalysisSaccharomycesSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSpecies SpecificityFungal ProteinsSaccharomyces cerevisiae Proteins

Identifiers

PMID22893000
PMCPMC3435501
OpenAlexW2157643505

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.