Evidence map›Paper›PMID 22056677›Full record

ArticleNature methods2011

Rapid empirical discovery of optimal peptides for targeted proteomics.

Andrew B Stergachis, Brendan MacLean, Kristen Lee, John A Stamatoyannopoulos, Michael J MacCoss

Abstract read
In one paragraph

Article in Nature methods, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

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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

5 authors.

Andrew B StergachisDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, Washington, USA.
Brendan MacLean
Kristen Lee
John A Stamatoyannopoulos
Michael J MacCoss

Funding

ZDS2P REGULATES SWE1P-DEPENDENT POLARIZED CELL GROWTH IN S CEREVISIAEP41RR011823 · NCRR · UNIVERSITY OF WASHINGTON · PI DAVIS, TRACY · 1996 to 2011
$24.7M
TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2012 to 2021
$20.7M
A Comprehensive catalog of human DNasel hypersensitive sitesU54HG004592 · NHGRI · UNIVERSITY OF WASHINGTON · PI STAMATOYANNOPOULOS, JOHN A · 2007 to 2011
$15.0M
Inter-individual epigenetic variation in hematopoietic progenitor cellsF30DK095678 · NIDDK · UNIVERSITY OF WASHINGTON · PI STERGACHIS, ANDREW BEN · 2012 to 2014
$119k
NCRR NIH HHS P41 RR011823NCRR NIH HHS P41RR011823NHGRI NIH HHS U54 HG004592NHGRI NIH HHS U54HG004592NIDDK NIH HHS F30 DK095678NIGMS NIH HHS P41 GM103533
6 · The paper itself

Abstract

We report a method for high-throughput, cost-efficient empirical discovery of optimal proteotypic peptides and fragment ions for targeted proteomics applications using in vitro-synthesized proteins. We demonstrate the approach using human transcription factors, which are typically difficult, low-abundance targets and empirically derived proteotypic peptides for 98% of the target proteins. We show that targeted proteomic assays developed using our approach facilitate robust in vivo quantification of human transcription factors.

Indexed as

High-Throughput Screening AssaysHumansPeptide BiosynthesisPeptidesProteomicsTranscription FactorsPeptidesTranscription Factors

Identifiers

PMID22056677
PMCPMC3227787

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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.