Transmembrane proteome analysis of frozen mouse lung tissues by LC-MS using metal organic framework-based protein

Li Zhu1, Miao Guo1, Yingjia Liu2

  • 1State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.

PubMed

Insights

We developed a novel metal-organic framework (MOF) strategy using ZIF-67 for efficient membrane protein isolation from frozen tissues, improving analysis of lung cancer.

Area of Science:

  • Proteomics
  • Biochemistry
  • Materials Science

Background:

  • Membrane proteins (MPs) are vital for cellular functions and drug discovery.
  • Challenges in MP isolation from frozen tissues hinder pathological studies.
  • Existing methods struggle with MP solubility, hydrophobicity, and low abundance.

Purpose of the Study:

  • To develop an efficient membrane proteome isolation strategy for frozen tissues.
  • To utilize metal-organic frameworks (MOFs), specifically ZIF-67, for enhanced MP extraction.
  • To apply the strategy for analyzing distinct lung cancer subtypes.

Main Methods:

  • Developed a MOF-assisted bio-separation strategy using ZIF-67.
  • Optimized MP extraction parameters: tissue grinding vs. enzymolysis, material-to-protein ratio, SDS concentration.
  • Applied quantitative proteomics to analyze membrane protein profiles in clinical lung cancer samples.

Main Results:

  • The ZIF-67 strategy with enzymolysis significantly improved enrichment efficiency of MPs, especially those with multiple transmembrane domains (TMs≥2).
  • Isolated 2.18 times more MPs with TMs≥2 compared to a commercial kit.
  • Revealed distinct membrane protein profiles and dysregulated pathways in different lung cancer nodule types.

Conclusions:

  • The ZIF-67 strategy offers enhanced capability for multi-transmembrane proteome analysis from frozen tissues.
  • Provides valuable insights into molecular mechanisms underlying distinct lung cancer nodule types.
  • Broad applicability in translational and biomedical studies for MP research in disease and therapeutics.

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