Quantitative proteomic analysis of cellular protein modulation upon inhibition of the NEDD8-activating enzyme by

Hua Liao1, Xiaozhen J Liu, Jonathan L Blank

  • 1Discovery, Millennium Pharmaceuticals, Inc., Cambridge, MA 02139, USA.

Insights

MLN4924, a Nedd8-activating enzyme inhibitor, inactivates Cullin-RING ubiquitin ligases (CRLs) to identify novel cancer-relevant substrates. This study reveals key proteins involved in cell cycle and DNA repair crucial for MLN4924

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Cancer Research

Background:

  • Cullin-RING ubiquitin ligases (CRLs) mediate ubiquitination for protein degradation, with many substrates linked to cancer.
  • Identifying CRL substrates is crucial for understanding cancer biology and developing targeted therapies.
  • MLN4924 is an investigational Nedd8-activating enzyme (NAE) inhibitor targeting CRL function.

Purpose of the Study:

  • To identify novel substrates of Cullin-RING ubiquitin ligases (CRLs) using MLN4924.
  • To elucidate the mechanism of action of MLN4924 in cancer cells.
  • To discover potential biomarkers for MLN4924 efficacy.

Main Methods:

  • Stable isotope labeling with amino acids in cell culture (SILAC) was employed to quantify protein changes.
  • A375 melanoma cells were treated with MLN4924 to induce CRL inhibition.
  • RNA interference (siRNA) was used to validate the role of identified proteins in MLN4924-induced cytotoxicity.

Main Results:

  • Over 5000 proteins were identified and quantified per time point in MLN4924-treated cells.
  • Several novel CRL substrates, including MLX, KLF5, and ORC6L, were identified.
  • Thirty-eight proteins involved in cell cycle, DNA damage repair, and ubiquitin transfer were critical for MLN4924's cell-killing effects.

Conclusions:

  • The combination of SILAC and RNAi is a powerful approach to study ubiquitin proteasome system modulators.
  • This study identified novel CRL substrates and elucidated mechanisms underlying MLN4924's anti-cancer activity.
  • The findings provide a foundation for identifying biomarkers to predict patient response to MLN4924.

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