Evidence map›Paper›PMID 20467045›Full record

ArticleMolecular & cellular proteomics : MCP2010

Synthetic peptide arrays for pathway-level protein monitoring by liquid chromatography-tandem mass spectrometry.

Johannes A Hewel, Jian Liu, Kento Onishi, Vincent Fong, Shamanta Chandran, Jonathan B Olsen, Oxana Pogoutse, Mike Schutkowski, Holger Wenschuh, Dirk F H Winkler and 3 more

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
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  4. Review
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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

13 authors at 4 institutions in 2 countries.

Johannes A HewelBanting and Best Department of Medical Research, University of Toronto, Toronto, Ontario, Canada.
Jian Liu
Kento Onishi
Vincent Fong
Shamanta Chandran
Jonathan B Olsen
Oxana Pogoutse
Mike Schutkowski
Holger Wenschuh
Dirk F H Winkler
Larry Eckler
Peter W Zandstra
Andrew Emili
University of Toronto · CAJPT Peptide Technologies (Germany) · DEKinexus Bioinformatics Corporation (Canada) · CAMartin Luther University Halle-Wittenberg · DE

Funding

Canadian Institutes of Health Research MOP-57885
6 · The paper itself

Abstract

Effective methods to detect and quantify functionally linked regulatory proteins in complex biological samples are essential for investigating mammalian signaling pathways. Traditional immunoassays depend on proprietary reagents that are difficult to generate and multiplex, whereas global proteomic profiling can be tedious and can miss low abundance proteins. Here, we report a target-driven liquid chromatography-tandem mass spectrometry (LC-MS/MS) strategy for selectively examining the levels of multiple low abundance components of signaling pathways which are refractory to standard shotgun screening procedures and hence appear limited in current MS/MS repositories. Our stepwise approach consists of: (i) synthesizing microscale peptide arrays, including heavy isotope-labeled internal standards, for use as high quality references to (ii) build empirically validated high density LC-MS/MS detection assays with a retention time scheduling system that can be used to (iii) identify and quantify endogenous low abundance protein targets in complex biological mixtures with high accuracy by correlation to a spectral database using new software tools. The method offers a flexible, rapid, and cost-effective means for routine proteomic exploration of biological systems including "label-free" quantification, while minimizing spurious interferences. As proof-of-concept, we have examined the abundance of transcription factors and protein kinases mediating pluripotency and self-renewal in embryonic stem cell populations.

Indexed as

Amino Acid SequenceAnimalsChromatography, LiquidMicePeptidesProtein Array AnalysisProteinsProteomicsTandem Mass SpectrometryPeptidesProteins

Identifiers

PMID20467045
PMCPMC2984235
OpenAlexW2118897204

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.