Combining Click Chemistry-Based Proteomics With Dox-Inducible Gene Expression

J Gebert1, M Schnölzer2, U Warnken2

  • 1Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany; Cancer Early Detection, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Methods in Enzymology
|January 23, 2017
PubMed

Insights

Researchers developed a new strategy to analyze how gene inactivation affects cellular proteomes and posttranslational modifications. This method aids in understanding gene roles in diseases like cancer by combining recombinase-mediated cassette exchange, click chemistry, and mass spectrometry.

Area of Science:

  • Molecular Biology
  • Proteomics
  • Genetics

Background:

  • Identifying disease-related genes is crucial for medical research.
  • Proteins and their posttranslational modifications are key mediators of gene function in disease.
  • Complex disorders like cancer involve multiple genes, complicating the link between proteomic changes and specific genes.

Purpose of the Study:

  • To present a novel strategy for comprehensive screening of gene inactivation effects on the cellular proteome.
  • To enable detailed analysis of protein expression and posttranslational modifications, such as glycosylation, upon gene loss.
  • To facilitate understanding of gene roles in disease pathogenesis, particularly in complex disorders.

Main Methods:

  • Integration of recombinase-mediated cassette exchange (RMCE) for gene manipulation.
  • Application of click chemistry for molecular labeling and detection.
  • Utilization of mass spectrometry for high-throughput proteomic analysis.
  • Exemplification using colorectal cancer cells with tumor suppressor gene loss.

Main Results:

  • Demonstrated a strategy to analyze proteomic changes induced by tumor suppressor gene inactivation in colorectal cancer cells.
  • Showcased the ability to screen for posttranslational modification changes, specifically protein glycosylation, following gene inactivation.
  • Validated the combined approach for assessing gene impact on protein expression and glycosylation.

Conclusions:

  • The presented strategy effectively screens for proteomic and posttranslational modification changes upon gene inactivation.
  • This methodology is adaptable for studying any gene of interest and its effects on protein expression and glycosylation.
  • The approach holds potential for broad application in diseases with identified causative mutations, aiding in understanding disease mechanisms.