Evidence map›Paper›PMID 37597723›Full record

ReviewMolecular & cellular proteomics : MCP2023

An Introduction to Analytical Challenges, Approaches, and Applications in Mass Spectrometry-Based Secretomics.

Sascha Knecht, H Christian Eberl, Norbert Kreisz, Ukamaka Juliet Ugwu, Tatiana Starikova, Bernhard Kuster, Stephanie Wilhelm

Open access · goldAbstract readReview
In one paragraph

Review in Molecular & cellular proteomics : MCP, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 37 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Sascha KnechtOmics Sciences, Genomic Sciences, GlaxoSmithKline, Heidelberg, Germany; Chair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.
H Christian EberlOmics Sciences, Genomic Sciences, GlaxoSmithKline, Heidelberg, Germany.
Norbert KreiszChair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.
Ukamaka Juliet UgwuChair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.
Tatiana StarikovaChair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.
Bernhard KusterChair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany. Electronic address: kuster@tum.de.
Stephanie WilhelmChair of Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany. Electronic address: stephanie.heinzlmeir@tum.de.
Technical University of Munich · DEGlaxoSmithKline (Germany) · DEGlaxoSmithKline (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The active release of proteins into the extracellular space and the proteolytic cleavage of cell surface proteins are key processes that coordinate and fine-tune a multitude of physiological functions. The entirety of proteins that fulfill these extracellular tasks are referred to as the secretome and are of special interest for the investigation of biomarkers of disease states and physiological processes related to cell-cell communication. LC-MS-based proteomics approaches are a valuable tool for the comprehensive and unbiased characterization of this important subproteome. This review discusses procedures, opportunities, and limitations of mass spectrometry-based secretomics to better understand and navigate the complex analytical landscape for studying protein secretion in biomedical science.

Indexed as

Membrane ProteinsProteomicsMass SpectrometryMembrane Proteinscell surface sheddingchallengesmass spectrometrymetabolic labelingsecretomesecretomicsserum-free secretomics

Identifiers

PMID37597723
PMCPMC10518356
OpenAlexW4385979343

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.