Evidence map›Paper›PMID 40818532›Full record

ArticleMolecular & cellular proteomics : MCP2025

Detection and Quantitation of Small Proteins Using Mass Spectrometry.

Pedro H C Franco, Rilee Zeinert, Jakob Meier-Credo, Gisela Storz, Julian D Langer

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

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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

5 authors.

Pedro H C FrancoDepartment of Proteomics, Max-Planck-Institute of Biophysics, Frankfurt am Main, Germany.
Rilee ZeinertDivision of Molecular and Cellular Biology, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA.
Jakob Meier-CredoDepartment of Proteomics, Max-Planck-Institute of Biophysics, Frankfurt am Main, Germany.
Gisela StorzDivision of Molecular and Cellular Biology, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA. Electronic address: storzg@mail.nih.gov.
Julian D LangerDepartment of Proteomics, Max-Planck-Institute of Biophysics, Frankfurt am Main, Germany; Mass Spectrometry and Proteomics, Max-Planck-Institute of Brain Research, Frankfurt am Main, Germany. Electronic address: julian.langer@biophys.mpg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small proteins or microproteins, despite long being ignored, have important roles in the regulation of larger protein complexes, metabolic pathways, and gene expression. However, these proteins remain under-represented in proteomics studies because of low detection efficiency in traditional mass spectrometry (MS) workflows. Their inherent characteristics often lead to depletion during sample preparation and a low detection efficiency in LC-MS. To improve detection and quantitation, we took advantage of the large set of documented small proteins in Escherichia coli and systematically compared and optimized different sample preparation and LC-MS approaches. We evaluated different top-down and bottom-up approaches, including data-dependent acquisition, data-independent acquisition, and parallel reaction monitoring. Our data highlight the benefit of top-down proteomics for identifying new small proteins and bottom-up preparation coupled with parallel reaction monitoring acquisition for quantitation of protein levels in different growth conditions. Our systematic comparison can serve as a guideline for MS detection of small proteins in all organisms.

Indexed as

Escherichia coliEscherichia coli ProteinsMass SpectrometryProteomicsChromatography, LiquidEscherichia coli ProteinsEscherichia colimass spectrometrymicroproteinsparallel reaction monitoringproteomics

Identifiers

PMID40818532
PMCPMC12529367

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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.