Evidence map›Paper›PMID 23623823›Full record

ReviewMethods (San Diego, Calif.)2013

Recent advances in quantitative neuroproteomics.

George E Craft, Anshu Chen, Angus C Nairn

Abstract readReview
In one paragraph

Review in Methods (San Diego, Calif.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
10.3field-weighted citation impact, top 1% 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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 127 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Dietary supplementation ofFrontiers in nutrition · 2023
    Article
  11. Review
  12. Article
  13. An Investigation into Proteomic Constituents of Cerebrospinal Fluid in Patients with Chronic Peripheral Neuropathic Pain Medicated with Opioids- a Pilot Study.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2021
    Article
  14. Article
  15. Article
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  19. Review
  20. Molecular basis of the functions of the mammalian neuronal growth cone revealed using new methods.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2019
    Review
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

3 authors at 1 institution in 1 country.

George E CraftDivision of Molecular Psychiatry, Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, Yale University School of Medicine, New Haven, CT 06508, USA.
Anshu Chen
Angus C Nairn
Connecticut Mental Health Center · US

Funding

Yale/NIDA Neuroproteomics Research CenterP30DA018343 · NIDA · YALE UNIVERSITY · PI ANGUS C. NAIRN, Kenneth Robert WILLIAMS · 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
Striatal Cell-specific Analysis of the Molecular Mechanisms of Antipsychotic DrugP50MH090963 · NIMH · ROCKEFELLER UNIVERSITY · PI FLAJOLET, MARC · 2010 to 2014
$9.8M
NIDA NIH HHS DA10044NIDA NIH HHS DA18343NIDA NIH HHS P01 DA010044NIDA NIH HHS P30 DA018343NIMH NIH HHS MH090963NIMH NIH HHS P50 MH090963
6 · The paper itself

Abstract

The field of proteomics is undergoing rapid development in a number of different areas including improvements in mass spectrometric platforms, peptide identification algorithms and bioinformatics. In particular, new and/or improved approaches have established robust methods that not only allow for in-depth and accurate peptide and protein identification and modification, but also allow for sensitive measurement of relative or absolute quantitation. These methods are beginning to be applied to the area of neuroproteomics, but the central nervous system poses many specific challenges in terms of quantitative proteomics, given the large number of different neuronal cell types that are intermixed and that exhibit distinct patterns of gene and protein expression. This review highlights the recent advances that have been made in quantitative neuroproteomics, with a focus on work published over the last five years that applies emerging methods to normal brain function as well as to various neuropsychiatric disorders including schizophrenia and drug addiction as well as of neurodegenerative diseases including Parkinson's disease and Alzheimer's disease. While older methods such as two-dimensional polyacrylamide electrophoresis continued to be used, a variety of more in-depth MS-based approaches including both label (ICAT, iTRAQ, TMT, SILAC, SILAM), label-free (label-free, MRM, SWATH) and absolute quantification methods, are rapidly being applied to neurobiological investigations of normal and diseased brain tissue as well as of cerebrospinal fluid (CSF). While the biological implications of many of these studies remain to be clearly established, that there is a clear need for standardization of experimental design and data analysis, and that the analysis of protein changes in specific neuronal cell types in the central nervous system remains a serious challenge, it appears that the quality and depth of the more recent quantitative proteomics studies is beginning to shed light on a number of aspects of neuroscience that relates to normal brain function as well as of the changes in protein expression and regulation that occurs in neuropsychiatric and neurodegenerative disorders.

Indexed as

AnimalsCentral Nervous SystemChromatography, LiquidElectrophoresis, Gel, Two-DimensionalGene Expression RegulationHumansMass SpectrometryMental DisordersNerve Tissue ProteinsNeurodegenerative DiseasesNeuronsNeuropeptidesProteomicsResearch DesignNerve Tissue ProteinsNeuropeptides

Identifiers

PMID23623823
PMCPMC3891841
OpenAlexW2076944509

What OpenQuestion holds

Textmetadata
LicenceTDM
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.