Dynamic Proteomics Reveals High Plasticity of Cellular Proteome: Growth-Related and Drug-Induced Changes in Cancer

Pierre Sabatier1, Amir Ata Saei1, Shiyu Wang2

  • 1Division of Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Solnavägen 9, SE, 17 177, Stockholm, Sweden.

Proteomics
|November 2, 2018
PubMed

Insights

Cellular proteome changes during drug treatment can be masked by natural growth-related alterations. These growth effects, even before cells reach full confluence, are comparable to drug impacts, highlighting the need for time-matched controls in chemical proteomics.

Area of Science:

  • Chemical Proteomics
  • Cellular Biology
  • Drug Discovery

Background:

  • Chemical proteomics identifies drug targets by analyzing proteome changes.
  • Cultured cells exhibit natural proteome alterations due to media, confluence, cell division, and metabolism.
  • These endogenous changes are often assumed to be less significant than drug-induced effects.

Purpose of the Study:

  • To investigate the magnitude of growth-related proteome changes in untreated cells.
  • To compare these endogenous changes with drug-induced proteome alterations.
  • To emphasize the importance of time-matched controls in chemical proteomics studies.

Main Methods:

  • Deep proteomics analysis was performed on two well-characterized cancer cell lines.
  • Quantified over 10,481 proteins with at least two peptides.
  • Compared proteome profiles of untreated control cells with drug-treated cells over 48 hours.

Main Results:

  • Growth-related proteome changes in untreated cells were comparable in magnitude to drug-induced changes.
  • Common trends observed: downregulation of cell division and upregulation of metabolism-related pathways.
  • Significant proteome plasticity was evident even before 100% cell confluence.

Conclusions:

  • Endogenous proteome variations can significantly impact the interpretation of drug-induced changes.
  • The study underscores the critical need for using time-matched controls in chemical proteomics.
  • Accurate assessment of drug effects requires accounting for inherent cellular dynamics.

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