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Updated: Mar 3, 2026

Organic Solvent-Based Protein Precipitation for Robust Proteome Purification Ahead of Mass Spectrometry
Published on: February 7, 2022
Plasma proteome of buffaloes
Leticia Gomes de Pontes1, Nayara Rodrigues Vieira Cavassan1, Luciana Curtolo de Barros2
1Graduate Program in Tropical Diseases, Botucatu Medical School, Sao Paulo State University (UNESP), Botucatu, São Paulo, Brazil.
Researchers identified 35 key proteins in Murrah buffalo blood plasma using advanced proteomic techniques. This study enhances understanding of buffalo health and potential zoonotic disease markers.
Area of Science:
- Veterinary proteomics
- Animal science
- Biochemistry
Background:
- Water buffaloes are economically significant for milk, meat, and leather production.
- Buffaloes are also vital donors of blood components.
- Proteomics is increasingly important in veterinary medicine for biopharmaceutical production and disease diagnosis.
Purpose of the Study:
- To identify and characterize proteins in Murrah buffalo (Bubalus bubalis) blood plasma.
- To utilize proteomic approaches for a deeper understanding of buffalo blood composition.
- To lay the groundwork for identifying molecular markers of zoonotic diseases in buffaloes.
Main Methods:
- Two-dimensional electrophoresis (2D electrophoresis) for protein separation.
- In-gel and in-solution protein digestion followed by mass spectrometry.
- Shotgun analysis and albumin depletion techniques were employed.
Main Results:
- Identification of 112 distinct protein spots and 35 individual proteins.
- Key identified proteins include albumin, fibrinogens, immunoglobulins, and serotransferrin.
- Many identified proteins are involved in complement system and coagulation cascade pathways.
Conclusions:
- This proteomic analysis provides a comprehensive profile of Murrah buffalo blood plasma proteins.
- The findings contribute to a better understanding of buffalo health and physiology.
- The study supports the search for novel molecular markers for zoonotic diseases in buffalo populations.
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