Evidence map›Paper›PMID 25349915›Full record

ReviewNature neuroscience2014

Decoding neuroproteomics: integrating the genome, translatome and functional anatomy.

Robert R Kitchen, Joel S Rozowsky, Mark B Gerstein, Angus C Nairn

Abstract readReview
In one paragraph

Review in Nature neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Advances in Proteomics Allow Insights Into Neuronal Proteomes.Frontiers in molecular neuroscience · 2021
    Review
  15. Chronic copper exposure directs microglia towards degenerative expression signatures in wild-type and J20 mouse model of Alzheimer's disease.Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS) · 2020
    Article
  16. Article
  17. What's in a cardiomyocyte - And how do we make one through reprogramming?Biochimica et biophysica acta. Molecular cell research · 2020
    Review
  18. Article
  19. Article
  20. 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

4 authors.

Robert R Kitchen1] Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut, USA. [2] Division of Molecular Psychiatry, Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, Yale University School of Medicine, New Haven, Connecticut, USA.
Joel S Rozowsky1] Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut, USA. [2] Program in Computational Biology, Yale University, New Haven, Connecticut, USA.
Mark B Gerstein1] Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut, USA. [2] Program in Computational Biology, Yale University, New Haven, Connecticut, USA. [3] Department of Computer Science, Yale University, New Haven, Connecticut, USA.
Angus C NairnDivision of Molecular Psychiatry, Abraham Ribicoff Research Facilities, Connecticut Mental Health Center, Yale University School of Medicine, New Haven, Connecticut, USA.

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
NIDA NIH HHS DA018343NIDA NIH HHS DA10044NIDA NIH HHS P01 DA010044NIDA NIH HHS P30 DA018343
6 · The paper itself

Abstract

The immense intercellular and intracellular heterogeneity of the CNS presents major challenges for high-throughput omic analyses. Transcriptional, translational and post-translational regulatory events are localized to specific neuronal cell types or subcellular compartments, resulting in discrete patterns of protein expression and activity. A spatial and quantitative knowledge of the neuroproteome is therefore critical to understanding both normal and pathological aspects of the functional genomics and anatomy of the CNS. Improvements in mass spectrometry allow the profiling of proteins at a sufficient depth to complement results from high-throughput genomic and transcriptomic assays. However, there are challenges in integrating proteomic data with other data modalities and even greater challenges in obtaining comprehensive neuroproteomic data with cell-type specificity. Here we discuss how proteomics should be exploited to enhance high-throughput functional genomic analysis by tighter integration of data analyses. We also discuss experimental strategies to achieve finer cellular and subcellular resolution in transcriptomic and proteomic studies of neural tissues.

Indexed as

ProteomicsAnimalsCentral Nervous SystemGene Expression ProfilingGenomicsHumansMass SpectrometryProteinsProteins

Identifiers

PMID25349915
PMCPMC4737617

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.