Evidence map›Paper›PMID 24677814›Full record

ArticleProteomics2014

Characterization of individual mouse cerebrospinal fluid proteomes.

Jeffrey S Smith, Thomas E Angel, Charles Chavkin, Daniel J Orton, Ronald J Moore, Richard D Smith

Open access · greenAbstract read
In one paragraph

Article in Proteomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

18 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
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  6. Direct Delivery ofMolecular therapy oncolytics · 2020
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  9. 24(The Journal of biological chemistry · 2019
    Article
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  11. MurineEMBO molecular medicine · 2019
    Article
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  15. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Jeffrey S SmithDepartment of Pharmacology, University of Washington, Seattle, WA, USA.
Thomas E Angel
Charles Chavkin
Daniel J Orton
Ronald J Moore
Richard D Smith
Pacific Northwest National Laboratory · USDuke University Hospital · USKineMed (United States) · USUniversity of Washington · US

Funding

Equipment Supplement Request for a Research Resource for Ultra-sensitive High Throughput ProteomicsP41GM103493 · NIGMS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI KELLY, RYAN T · 2012 to 2022
$22.6M
Dynorphins and Kappa Opioid Receptors in the Stress ResponseK05DA020570 · NIDA · UNIVERSITY OF WASHINGTON · PI CHAVKIN, CHARLES · 2006 to 2015
$1.2M
NIDA NIH HHS K05 DA020570NIGMS NIH HHS P41 GM103493NIGMS NIH HHS P41GM103493
6 · The paper itself

Abstract

Analysis of cerebrospinal fluid (CSF) offers key insight into the status of the CNS. Characterization of murine CSF proteomes can provide a valuable resource for studying CNS injury and disease in animal models. However, the small volume of CSF in mice has thus far limited individual mouse proteome characterization. Through nonterminal CSF extractions in C57Bl/6 mice and high-resolution 2D-LC MS/MS analysis of individual murine samples, we report the most comprehensive proteome characterization of individual murine CSF to date. We identified a total of 566 unique proteins, including 128 proteins from three individual CSF samples that have been previously identified in brain tissue. Our methods and analysis provide a mechanism for individual murine CSF proteome analysis. The data are available in the ProteomeXchange with identifier PXD000248 (http://proteomecentral.proteomexchange.org/dataset/PXD000248).

Indexed as

AnimalsCerebrospinal Fluid ProteinsMaleMass SpectrometryMiceMice, Inbred C57BLProteomeProteomicsCerebrospinal Fluid ProteinsProteomeAnimal proteomicsCerebrospinal fluidMouseMSProteome

Identifiers

PMID24677814
PMCPMC4044923
OpenAlexW2092625298

What OpenQuestion holds

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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.