Evidence map›Paper›PMID 42823412›Full record

ArticleNature communications2026

Pushing the limits of single-cell proteomics to investigate bacterial heterogeneity using bacSCP.

Julia Leodolter, Tim Thierer, Karl Mechtler, Manuel Matzinger

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Julia LeodolterResearch Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Vienna, Austria.ORCID 0000-0003-3632-056X
Tim ThiererResearch Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Vienna, Austria.ORCID 0009-0000-8689-1366
Karl MechtlerResearch Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Vienna, Austria.ORCID 0000-0002-3392-9946
Manuel MatzingerResearch Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Vienna, Austria. manuel.matzinger@imp.ac.at.ORCID 0000-0002-9765-7951

Funding

Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung) 10.55776/ESP467Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung) 10.55776/PAT2059025Austrian Science Fund (Fonds zur Förderung der Wissenschaftlichen Forschung) 10.55776/PAT4800425
6 · The paper itself

Abstract

Single-cell proteomics (SCP) has emerged as a powerful approach to quantify protein expression variability at cellular resolution, yet most state-of-the-art workflows are tailored to eukaryotic cells with only one study exploring how single bacteria can be analyzed by mass spectrometry. Here, we established bacSCP, a protocol extending SCP to bacterial cells, facing analytical challenges such as the thick bacterial cell wall hampering lysis, the extremely small cell size and resultant low protein content, and the comparatively high level of contaminating proteins from external sources. Using this bacSCP pipeline, we quantified more than 50 bacterial proteins from single Bacillus subtilis and Escherichia coli cells. Upon heat stress, we reproducibly observed up to 8-fold upregulation of chaperones including GroEL, GroES, and ClpC for a B. subtilis ΔmcsB strain. Importantly, single-cell measurements revealed potential heterogeneity within the heat-stressed subpopulation, enabling interrogation of stress-response variability at the proteome level. These results demonstrate the feasibility of bacSCP and provide a foundation for studying bacterial stress adaptation and phenotypic diversity with single-cell proteomic resolution.

Indexed as

Bacillus subtilisBacterial ProteinsEscherichia coliProteomicsSingle-Cell AnalysisEscherichia coli ProteinsHeat-Shock ResponseProteomeBacterial ProteinsEscherichia coli ProteinsProteome

Identifiers

PMID42823412
PMCPMC13631272

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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.