Evidence map›Paper›PMID 37602975›Full record

ArticleMolecular systems biology2023

Robust dimethyl-based multiplex-DIA doubles single-cell proteome depth via a reference channel.

Marvin Thielert, Ericka Cm Itang, Constantin Ammar, Florian A Rosenberger, Isabell Bludau, Lisa Schweizer, Thierry M Nordmann, Patricia Skowronek, Maria Wahle, Wen-Feng Zeng and 7 more

Abstract read
In one paragraph

Article in Molecular systems biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Article
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  3. Article
  4. Article
  5. Article
  6. Review
  7. 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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  9. 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

17 authors.

Marvin Thielert *Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0003-3639-2221
Ericka Cm Itang *Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0003-3387-2537
Constantin AmmarDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0003-4310-6908
Florian A RosenbergerDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0003-4604-6170
Isabell BludauDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0002-2601-238X
Lisa SchweizerDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0002-1165-7804
Thierry M NordmannDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0002-3702-815X
Patricia SkowronekDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0002-8441-6067
Maria WahleDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0003-2079-4402
Wen-Feng ZengDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0003-4325-2147
Xie-Xuan ZhouDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
Andreas-David BrunnerDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0002-2733-7899
Sabrina RichterHelmholtz Zentrum München - German Research Center for Environmental Health, Institute of Computational Biology, Neuherberg, Germany.ORCID 0000-0001-6101-2783
Mitchell P LevesqueDepartment of Dermatology, University of Zurich, University of Zurich Hospital, Zurich, Switzerland.ORCID 0000-0001-5902-9420
Fabian J TheisHelmholtz Zentrum München - German Research Center for Environmental Health, Institute of Computational Biology, Neuherberg, Germany.ORCID 0000-0002-2419-1943
Martin Steger *Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0003-1637-8190
Matthias Mann *Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.ORCID 0000-0003-1292-4799

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell proteomics aims to characterize biological function and heterogeneity at the level of proteins in an unbiased manner. It is currently limited in proteomic depth, throughput, and robustness, which we address here by a streamlined multiplexed workflow using data-independent acquisition (mDIA). We demonstrate automated and complete dimethyl labeling of bulk or single-cell samples, without losing proteomic depth. Lys-N digestion enables five-plex quantification at MS1 and MS2 level. Because the multiplexed channels are quantitatively isolated from each other, mDIA accommodates a reference channel that does not interfere with the target channels. Our algorithm RefQuant takes advantage of this and confidently quantifies twice as many proteins per single cell compared to our previous work (Brunner et al, PMID 35226415), while our workflow currently allows routine analysis of 80 single cells per day. Finally, we combined mDIA with spatial proteomics to increase the throughput of Deep Visual Proteomics seven-fold for microdissection and four-fold for MS analysis. Applying this to primary cutaneous melanoma, we discovered proteomic signatures of cells within distinct tumor microenvironments, showcasing its potential for precision oncology.

Indexed as

MelanomaSkin NeoplasmsHumansPrecision MedicineProteomeProteomicsTumor MicroenvironmentProteomeDIAdimethyl labelingmultiplexingsingle cellsspatial proteomics

Identifiers

PMID37602975
PMCPMC10495816

What OpenQuestion holds

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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 OpenQuestion graph.