Evidence map›Paper›PMID 42901897›Full record

ArticleNature communications2026

Extending single-cell proteomics from HeLa to small primary human immune cells.

Ivo A Hendriks, Sara C Buch-Larsen, Martin Rykær, Maico Y Lechner, Anders H Kverneland, Tabiwang N Arrey, Daniel Hermanson, Eugen Damoc, Jesper V Olsen

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ivo A Hendriks *Proteomics program, Novo Nordisk Foundation Center for Protein Research, Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-1439-3701
Sara C Buch-Larsen *Proteomics program, Novo Nordisk Foundation Center for Protein Research, Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0001-6250-5467
Martin RykærProteomics program, Novo Nordisk Foundation Center for Protein Research, Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Maico Y LechnerProteomics program, Novo Nordisk Foundation Center for Protein Research, Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0009-0006-7471-6003
Anders H KvernelandProteomics program, Novo Nordisk Foundation Center for Protein Research, Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-9883-936X
Tabiwang N ArreyThermo Fisher Scientific, 11 Hanna-Kunath Strasse, Bremen, Germany.
Daniel HermansonThermo Fisher Scientific, 11 Hanna-Kunath Strasse, Bremen, Germany.
Eugen DamocThermo Fisher Scientific, 11 Hanna-Kunath Strasse, Bremen, Germany.
Jesper V OlsenProteomics program, Novo Nordisk Foundation Center for Protein Research, Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. jesper.olsen@cpr.ku.dk.ORCID 0000-0002-4747-4938

Funding

Danmarks Grundforskningsfond (Danish National Research Foundation) DNRF196Ministry of Science, Innovation and Higher Education | Styrelsen for Forskning og Innovation (Danish Agency for Science, Technology and Innovation) 5229-00012B-PLATONovo Nordisk CELFFI-2022-002843Novo Nordisk Fonden (Novo Nordisk Foundation) NNF14CC0001Novo Nordisk Fonden (Novo Nordisk Foundation) NNF21OC0072070Novo Nordisk Fonden (Novo Nordisk Foundation) NNF24SA0098829
6 · The paper itself

Abstract

Single-cell proteomics (SCP) holds the promise of decoding cellular heterogeneity at the functional level, yet achieving deep and reproducible proteome coverage from individual cells has remained a formidable challenge. Here, we establish a high-sensitivity, label-free SCP platform that extends current depth and reproducibility. By integrating optimized low-input sample processing, refined liquid chromatography, and the Orbitrap Astral Zoom mass spectrometer, our approach routinely quantifies up to 7000 proteins per individual HeLa cell at over 100 samples-per-day (SPD), capturing thousands of low-abundance proteins that eluded prior SCP studies. Applied to very small human peripheral blood mononuclear cells (PBMCs), we identify up to 4000 proteins per cell, including key markers that distinguish monocytes, T cells, and activated lymphocytes within heterogeneous populations, underscoring that single-cell proteomics can now directly elucidate clinically relevant primary samples with both depth and precision.

Indexed as

Leukocytes, MononuclearProteomeProteomicsSingle-Cell AnalysisChromatography, LiquidHeLa CellsHumansMass SpectrometryMonocytesReproducibility of ResultsT-LymphocytesProteome

Identifiers

PMID42901897
PMCPMC13683416

What OpenQuestion holds

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Registered trials

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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.