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

Ákos Végvári1, Jimmy E Rodriguez1, Roman A Zubarev1

  • 1Division of Physiological Chemistry I, Department of Medical Biochemistry & Biophysics, Karolinska Institutet, Biomedicum A9, Solnavägen 9, SE-171 77 Stockholm, Sweden.

Analytical Chemistry
|June 22, 2022
PubMed

Insights

Single-cell chemical proteomics (SCCP) now quantifies drug effects on cancer cells. This technique reveals distinct cell populations responding differently to anticancer drugs, offering new insights into tumor heterogeneity.

Area of Science:

  • Proteomics
  • Cancer Biology
  • Pharmacology

Background:

  • Tumor complexity leads to heterogeneous cellular responses to drugs.
  • Proteome analysis at the single-cell level is crucial for understanding these heterogeneous responses.
  • Existing techniques may lack the quantitative resolution for detailed drug effect studies.

Purpose of the Study:

  • To demonstrate the capability of single-cell proteomics techniques for quantitative drug effect analysis.
  • To introduce and validate single-cell chemical proteomics (SCCP) as a novel approach.
  • To investigate the time-resolved cellular response to specific anticancer drugs.

Main Methods:

  • Application of quantitative single-cell proteomics techniques.
  • Development and implementation of single-cell chemical proteomics (SCCP).
  • Time-resolved analysis of individual adenocarcinoma A549 cells treated with methotrexate, camptothecin, and tomudex.

Main Results:

  • SCCP enables quantitative assessment of drug effects on target proteins at the single-cell level.
  • Early emergence of distinct cellular subpopulations (committed and uncommitted to death) was observed.
  • Heterogeneous cellular responses to anticancer drugs were detailed.

Conclusions:

  • Single-cell chemical proteomics (SCCP) is a powerful new method for studying drug responses in cancer cells.
  • SCCP provides insights into the heterogeneity of cancer cell drug responses.
  • This technique holds promise for advancing single-cell proteomics applications in cancer research.

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