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Analysis of protein-protein interactions and proteomic profiles of normal human lenses
Zhibin Yao1, Hong Yu, Dwight Xuan
1Department of Ophthalmology, Fourth Affiliated Hospital, China Medical University, Shenyang, China.
Insights
This study identified 339 proteins in normal human lenses, revealing key proteins and their interactions. Proteomics analysis using mass spectrometry effectively detected low-abundance proteins, aiding lens research.
Area of Science:
- Ophthalmology
- Proteomics
- Molecular Biology
Background:
- The human lens proteome is crucial for maintaining transparency and vision.
- Understanding protein-protein interactions (PPIs) is vital for lens function and disease pathogenesis.
Purpose of the Study:
- To comprehensively investigate the proteomic profiles of normal human lenses.
- To identify key proteins and map their protein-protein interactions (PPIs) within the lens.
Main Methods:
- Proteins were extracted from human lenses and separated using one-dimensional SDS-PAGE.
- Peptides were analyzed by linear ion trap tandem mass spectrometry (MS/MS) after in-gel digestion.
- Protein-protein interaction networks were constructed using identified peptides and interaction databases.
Main Results:
- A total of 339 proteins were identified in normal human lenses, including previously undetected low-abundance proteins.
- Key identified proteins include plectin, actin, spectrin, vimentin, 14-3-3 proteins, TSC2, and alpha-A-crystallin.
- The study successfully mapped protein-protein interactions within the human lens proteome.
Conclusions:
- Linear ion trap MS/MS is an effective method for identifying low-abundance proteins in the human lens.
- The constructed PPI network provides valuable insights into lens biology.
- This research offers a foundational dataset for future studies on human lens development and diseases.
Purpose:
To investigate proteomic profiles of normal human lenses and their key proteins in protein-protein interactions (PPIs).
Materials And Methods:
Water-soluble and water-insoluble proteins extracted from human lenses were first separated by one-dimensional sodium dodecyl sulfate polyacrylamide gel, and then in-gel digested with trypsin into peptides eluted by reversed-phase high-performance liquid chromatography. The eluted peptides were analyzed by linear ion trap tandem mass spectrometry (MS/MS). The raw data was filtered by TurboSEQUEST algorithm. The reverse database was used for peptide false-positive rate estimation. A network chart was constructed by the identified lens PPIs in accordance with interaction database systems.
Results:
From normal human lenses 339 proteins in total were identified, including many formerly unidentified low-abundance proteins. Key proteins we recognized included plectin, actin, spectrin (alpha, beta), vimentin, 14-3-3 protein (beta/alpha, zeta/delta, epsilon, gamma, eta), TSC2, guanine nucleotide-releasing protein, laminin gamma, mitogen-activated protein kinase, alpha-A-crystallin, heat-shock protein (alpha, beta), glyceraldehyde 3-phosphate dehydrogenase, and collagen IV alpha.
Conclusions:
Key proteins of normal human lenses were studied by constructing a network chart of the identified lens PPIs. The results suggest that linear ion trap MS/MS is an effective tool for detecting low-abundance proteins of human lenses. This study provides valuable data for further proteomic research of the human lens development and lens diseases.
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