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Updated: Feb 1, 2026

Synthesis and Characterization of Functionalized Metal-organic Frameworks
Published on: September 5, 2014
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.
Abstract:
Membrane proteins (MPs) play crucial roles in cellular functions and are key targets for drug discovery and cancer research. However, due to their poor solubility, high hydrophobicity, and low abundance, MPs present significant analytical challenges, particularly with regard to their dissolution, isolation, and characterization. Efficiently extracting MPs from frozen tissue samples remains challenging, which limits our ability to study their functions in pathological processes. In this study, we developed a metal-organic frameworks (MOFs)-assisted bio-separation strategy using Zeolitic Imidazolate Framework-67 (ZIF-67) for efficient membrane proteome isolation from frozen mouse lung tissue. We optimized key parameters for MPs extraction, including protein extraction approaches (tissue grinding versus enzymolysis), material-to-protein ratio, and SDS concentration. Our results demonstrated that ZIF-67 strategy with enzymolysis dramatically improved the enrichment efficiency of MPs with multi-transmembrane domains (TMs≥2) than the commercial kit method. In particular, among the 500 most abundant MPs isolated by the optimized ZIF-67 strategy, 133 were MPs with TMs≥2, which was 2.18 times that of the kit method. We further applied this strategy to analyze two distinct types of clinical lung cancer tissue samples (ground glass opacity nodules and solid nodules). Quantitative proteomics analysis revealed distinct membrane protein profiles and dysregulated pathways in the two lung cancer nodules. The enhanced capability of the ZIF-67 strategy for analyzing multi-transmembrane proteome provided valuable biological information for investigating the underlying molecular mechanisms underlying distinct nodule types. The strategy's compatibility with frozen tissues underscores its broad applicability in translational and biomedical studies, paving the way for in-depth exploration of MPs in disease mechanisms and therapeutic development.
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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