Evidence map›Paper›PMID 25476245›Full record

ArticleProteomics2015

Development of a highly automated and multiplexed targeted proteome pipeline and assay for 112 rat brain synaptic proteins.

Christopher M Colangelo, Gordana Ivosev, Lisa Chung, Thomas Abbott, Mark Shifman, Fumika Sakaue, David Cox, Robert R Kitchen, Lyle Burton, Stephen A Tate and 5 more

Abstract read
In one paragraph

Article in Proteomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Proteomics characterization of exosome cargo.Methods (San Diego, Calif.) · 2015
    Review
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Christopher M ColangeloYale/NIDA Neuroproteomics Center, New Haven, CT, USA; W.M. Keck Foundation Biotechnology Resource Laboratory, Yale University, New Haven, CT, USA; Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, USA.
Gordana Ivosev
Lisa Chung
Thomas Abbott
Mark Shifman
Fumika Sakaue
David Cox
Robert R Kitchen
Lyle Burton
Stephen A Tate
Erol Gulcicek
Ron Bonner
Jesse Rinehart
Angus C Nairn
Kenneth R Williams

Funding

Yale/NIDA Neuroproteomics Research CenterP30DA018343 · NIDA · YALE UNIVERSITY · PI Marina R Picciotto · 2004 to 2026
$37.1M
THE ROLE OF DARPPS IN THE ACUTE AND CHRONIC EFFECTS OF COCAINE AND AMPHETAMINEP01DA010044 · NIDA · ROCKEFELLER UNIVERSITY · PI GREENGARD, PAUL · 1996 to 2015
$23.6M
Yale Alzheimer Disease Research CenterP50AG047270 · NIA · YALE UNIVERSITY · PI STRITTMATTER, STEPHEN M · 2015 to 2019
$8.3M
Investigation of Electrolyte Homeostasis via Quantitative ProteomicsK01DK089006 · NIDDK · YALE UNIVERSITY · PI RINEHART, JESSE · 2010 to 2014
$772k
NIA NIH HHS P50 AG047270NIDA NIH HHS DA10044NIDA NIH HHS P01 DA010044NIDA NIH HHS P30 DA018343NIDDK NIH HHS K01 DK089006PHS HHS ULRR024139
6 · The paper itself

Abstract

We present a comprehensive workflow for large scale (>1000 transitions/run) label-free LC-MRM proteome assays. Innovations include automated MRM transition selection, intelligent retention time scheduling that improves S/N by twofold, and automatic peak modeling. Improvements to data analysis include a novel Q/C metric, normalized group area ratio, MLR normalization, weighted regression analysis, and data dissemination through the Yale protein expression database. As a proof of principle we developed a robust 90 min LC-MRM assay for mouse/rat postsynaptic density fractions which resulted in the routine quantification of 337 peptides from 112 proteins based on 15 observations per protein. Parallel analyses with stable isotope dilution peptide standards (SIS), demonstrate very high correlation in retention time (1.0) and protein fold change (0.94) between the label-free and SIS analyses. Overall, our method achieved a technical CV of 11.4% with >97.5% of the 1697 transitions being quantified without user intervention, resulting in a highly efficient, robust, and single injection LC-MRM assay.

Indexed as

AnimalsBrain ChemistryChromatography, High Pressure LiquidNerve Tissue ProteinsPost-Synaptic DensityProteomeProteomicsRatsSynapsesTandem Mass SpectrometryNerve Tissue ProteinsProteomeMultiple reaction monitoringPostsynaptic densityProteomics databaseTargeted proteomicsTechnology

Identifiers

PMID25476245
PMCPMC4698340

What OpenQuestion holds

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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.