Novel comprehensive approach for accessible biomarker identification and absolute quantification from precious human
Andrei Turtoi1, Bruno Dumont, Yannick Greffe
1Metastasis Research Laboratory, GIGA Cancer, University of Liège, Bat. B23, Liège, B-4000 Liège, Belgium.
This study introduces a new method to identify and quantify proteins from limited human tissue samples, aiding in biomarker discovery for diseases like breast cancer. The technique enhances the identification of diagnostically and therapeutically valuable proteins.
Area of Science:
- Biochemistry
- Proteomics
- Biomarker Discovery
Background:
- Identifying biomarkers from limited human pathological lesions is challenging.
- Accessible proteins (cell membrane-associated, extracellular) are crucial for diagnosis and targeted therapy.
- Existing methods struggle with limited sample sizes.
Purpose of the Study:
- To develop a novel, comprehensive, and efficient method for identifying and quantifying accessible proteins from precious, limited tissue samples.
- To enhance the discovery of potential diagnostic and therapeutic biomarkers.
- To demonstrate the method's utility on human breast cancer tissues.
Main Methods:
- A sequential three-step approach combining biotin labeling of accessible proteins and glycopeptide isolation.
- Utilized chemically modified biotin for ex vivo protein labeling.
- Integrated in silico analysis with glycopeptide and non-glycopeptide analysis for confident glycoprotein identification.
Main Results:
- The method identified over 400 potentially accessible proteins per sample.
- Significantly increased the number of therapeutically and diagnostically valuable proteins compared to individual methods (≥30% and ≥50%).
- Identified 93 differentially modulated proteins in breast cancer, including novel potential biomarker CD276, which showed differential expression via immunohistochemistry.
Conclusions:
- The developed sequential method is efficient for identifying and quantifying accessible proteins from limited tissue samples.
- This approach significantly enhances the discovery of valuable diagnostic and therapeutic protein biomarkers.
- The technology is broadly applicable to various pathologies, accelerating biomarker discovery.
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