Evidence map›Paper›PMID 35731985›Full record

ArticleAnalytical chemistry2022

Single-Cell Chemical Proteomics (SCCP) Interrogates the Timing and Heterogeneity of Cancer Cell Commitment to Death.

Ákos Végvári, Jimmy E Rodriguez, Roman A Zubarev

Abstract read
In one paragraph

Article in Analytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  12. Analyzing Posttranslational Modifications in Single Cells.Methods in molecular biology (Clifton, N.J.) · 2024
    Review
  13. Article
  14. Article
  15. Review
  16. Toward Single Bacterium Proteomics.Journal of the American Society for Mass Spectrometry · 2023
    Article
  17. Review
  18. Systems-level temporal immune-metabolic profile in Crimean-Congo hemorrhagic fever virus infection.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  19. Review
  20. Review
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

3 authors.

Ákos VégváriDivision of Physiological Chemistry I, Department of Medical Biochemistry & Biophysics, Karolinska Institutet, Biomedicum A9, Solnavägen 9, SE-171 77 Stockholm, Sweden.ORCID 0000-0002-1287-0906
Jimmy E RodriguezDivision of Physiological Chemistry I, Department of Medical Biochemistry & Biophysics, Karolinska Institutet, Biomedicum A9, Solnavägen 9, SE-171 77 Stockholm, Sweden.ORCID 0000-0002-6735-3332
Roman A ZubarevDivision of Physiological Chemistry I, Department of Medical Biochemistry & Biophysics, Karolinska Institutet, Biomedicum A9, Solnavägen 9, SE-171 77 Stockholm, Sweden.ORCID 0000-0001-9839-2089

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemical proteomics studies the effects of drugs upon a cellular proteome. Due to the complexity and diversity of tumors, the response of cancer cells to drugs is also heterogeneous, and thus, proteome analysis at the single-cell level is needed. Here, we demonstrate that single-cell proteomics techniques have become quantitative enough to tackle the drug effects on target proteins, enabling single-cell chemical proteomics (SCCP). Using SCCP, we studied here the time-resolved response of individual adenocarcinoma A549 cells to anticancer drugs methotrexate, camptothecin, and tomudex, revealing the early emergence of cellular subpopulations committed and uncommitted to death. As a novel and useful approach to exploring the heterogeneous response to drugs of cancer cells, SCCP may prove to be a breakthrough application for single-cell proteomics.

Indexed as

Antineoplastic AgentsNeoplasmsA549 CellsCamptothecinHumansProteomeProteomicsAntineoplastic AgentsCamptothecinProteome

Identifiers

PMID35731985
PMCPMC9260713

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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.