Evidence map›Paper›PMID 39820750›Full record

ArticleNature methods2025

Enhanced sensitivity and scalability with a Chip-Tip workflow enables deep single-cell proteomics.

Zilu Ye, Pierre Sabatier, Leander van der Hoeven, Maico Y Lechner, Teeradon Phlairaharn, Ulises H Guzman, Zhen Liu, Haoran Huang, Min Huang, Xiangjun Li and 10 more

Abstract read
In one paragraph

Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
–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

51 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  19. Single-Cell Protein Assays in Context: From 2D to 3D and In Situ Analysis.Annual review of analytical chemistry (Palo Alto, Calif.) · 2026
    Review
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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

20 authors.

Zilu Ye *State Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, China. yzl@ism.pumc.edu.cn.ORCID http://orcid.org/0000-0001-8829-6579
Pierre Sabatier *Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-2734-1791
Leander van der HoevenNovo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-4005-580X
Maico Y LechnerNovo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0009-0006-7471-6003
Teeradon PhlairaharnNovo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-6031-0578
Ulises H GuzmanNovo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.
Zhen LiuState Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Suzhou, China.
Haoran HuangThermo Fisher Scientific (China) Co. Ltd, Shanghai, China.
Min HuangThermo Fisher Scientific (China) Co. Ltd, Shanghai, China.
Xiangjun LiThermo Fisher Scientific (China) Co. Ltd, Shanghai, China.
David HartlmayrCellenion SASU, Lyon, France.
Fabiana IzaguirreCellenion SASU, Lyon, France.ORCID http://orcid.org/0009-0008-5335-0780
Anjali SethCellenion SASU, Lyon, France.
Hiren J JoshiCopenhagen Center for Glycomics, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-8192-2829
Sergey RodinCardio-Thoracic Translational Medicine Laboratory, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Karl-Henrik GrinnemoCardio-Thoracic Translational Medicine Laboratory, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Ole B HørningEvosep Biosystems, Odense, Denmark.
Dorte B Bekker-JensenEvosep Biosystems, Odense, Denmark.
Nicolai BacheEvosep Biosystems, Odense, Denmark.
Jesper V OlsenNovo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark. jesper.olsen@cpr.ku.dk.ORCID http://orcid.org/0000-0002-4747-4938

Funding

Chinese Academy of Medical Sciences (CAMS) 2022-I2M-2-004, 2023-I2M-2-005Chinese Academy of Medical Sciences (CAMS) 2023-RC180-03Innovationsfonden (Innovation Fund Denmark) ERA-PerMed-JTC2022-OVA-PDMNovo Nordisk CELFFI-2022-002843Novo Nordisk Fonden (Novo Nordisk Foundation) NNF14CC0001Novo Nordisk Fonden (Novo Nordisk Foundation) NNF21OC0072070Novo Nordisk Fonden (Novo Nordisk Foundation) NNF22OC0076899Vetenskapsrådet (Swedish Research Council) 2022-00323
6 · The paper itself

Abstract

Single-cell proteomics (SCP) promises to revolutionize biomedicine by providing an unparalleled view of the proteome in individual cells. Here, we present a high-sensitivity SCP workflow named Chip-Tip, identifying >5,000 proteins in individual HeLa cells. It also facilitated direct detection of post-translational modifications in single cells, making the need for specific post-translational modification-enrichment unnecessary. Our study demonstrates the feasibility of processing up to 120 label-free SCP samples per day. An optimized tissue dissociation buffer enabled effective single-cell disaggregation of drug-treated cancer cell spheroids, refining overall SCP analysis. Analyzing nondirected human-induced pluripotent stem cell differentiation, we consistently quantified stem cell markers OCT4 and SOX2 in human-induced pluripotent stem cells and lineage markers such as GATA4 (endoderm), HAND1 (mesoderm) and MAP2 (ectoderm) in different embryoid body cells. Our workflow sets a benchmark in SCP for sensitivity and throughput, with broad applications in basic biology and biomedicine for identification of cell type-specific markers and therapeutic targets.

Indexed as

ProteomeProteomicsSingle-Cell AnalysisCell DifferentiationHeLa CellsHumansInduced Pluripotent Stem CellsProtein Processing, Post-TranslationalWorkflowProteome

Identifiers

PMID39820750
PMCPMC11903336

What OpenQuestion holds

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LicenceCC BY
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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.