Evidence map›Paper›PMID 27890865›Full record

ArticleMolecular & cellular proteomics : MCP2017

CSF-PR 2.0: An Interactive Literature Guide to Quantitative Cerebrospinal Fluid Mass Spectrometry Data from Neurodegenerative Disorders.

Astrid Guldbrandsen, Yehia Farag, Ann Cathrine Kroksveen, Eystein Oveland, Ragnhild R Lereim, Jill A Opsahl, Kjell-Morten Myhr, Frode S Berven, Harald Barsnes

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2017. 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
2.1field-weighted citation impact, top 13% 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, 48 citations in OpenAlex.

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  7. Signatures of glial activity can be detected in the CSF proteome.Proceedings of the National Academy of Sciences of the United States of America · 2022
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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

9 authors at 2 institutions in 1 country.

Astrid GuldbrandsenFrom the ‡Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, 5009 Bergen, Norway.
Yehia FaragFrom the ‡Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, 5009 Bergen, Norway.
Ann Cathrine KroksveenFrom the ‡Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, 5009 Bergen, Norway.
Eystein OvelandFrom the ‡Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, 5009 Bergen, Norway.
Ragnhild R LereimFrom the ‡Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, 5009 Bergen, Norway.
Jill A OpsahlFrom the ‡Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, 5009 Bergen, Norway.
Kjell-Morten Myhr§KG Jebsen Centre for Multiple Sclerosis Research, Department of Clinical Medicine, University of Bergen, 5020 Bergen, Norway.
Frode S BervenFrom the ‡Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, 5009 Bergen, Norway; frode.berven@uib.no.
Harald BarsnesFrom the ‡Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, 5009 Bergen, Norway.
University of Bergen · NOHaukeland University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapidly growing number of biomedical studies supported by mass spectrometry based quantitative proteomics data has made it increasingly difficult to obtain an overview of the current status of the research field. A better way of organizing the biomedical proteomics information from these studies and making it available to the research community is therefore called for. In the presented work, we have investigated scientific publications describing the analysis of the cerebrospinal fluid proteome in relation to multiple sclerosis, Parkinson's disease and Alzheimer's disease. Based on a detailed set of filtering criteria we extracted 85 data sets containing quantitative information for close to 2000 proteins. This information was made available in CSF-PR 2.0 (http://probe.uib.no/csf-pr-2.0), which includes novel approaches for filtering, visualizing and comparing quantitative proteomics information in an interactive and user-friendly environment. CSF-PR 2.0 will be an invaluable resource for anyone interested in quantitative proteomics on cerebrospinal fluid.

Indexed as

Cerebrospinal Fluid ProteinsDatabases, ProteinDatasets as TopicHumansMass SpectrometryNeurodegenerative DiseasesProteomicsWeb BrowserCerebrospinal Fluid Proteins

Identifiers

PMID27890865
PMCPMC5294216
OpenAlexW2549569052

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.