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Navigating the Mass Spectrometry-Based Proteomic Data Using Free Computational Tools
Published on: August 19, 2025
986
Proteome data of
Gourav Dey1,2,3, Ajeet Kumar Mohanty4, Manish Kumar2,3
1Center for Systems Biology and Molecular Medicine, Yenepoya Research Center, Yenepoya (Deemed to be University), Mangalore 575018, India.
Data in Brief
|September 14, 2018
Summary
Researchers identified 4407 proteins in the ovaries of the malaria vector Anopheles stephensi. This proteomic data aids in understanding mosquito biology and developing malaria control strategies.
Area of Science:
- Proteomics
- Entomology
- Malaria Research
Background:
- Anopheles stephensi is a primary malaria vector in India.
- Understanding ovarian proteins is crucial for mosquito control.
Purpose of the Study:
- To identify and analyze proteins expressed in Anopheles stephensi ovaries.
- To create a protein-protein interaction map for An. stephensi.
Main Methods:
- High-resolution Orbitrap-Velos mass spectrometry was used for data acquisition.
- MS/MS data was searched against the An. stephensi protein database (11,789 sequences).
Main Results:
- 4407 proteins were identified in the mosquito ovaries.
- Functional analysis and protein-protein interaction mapping were performed on identified proteins.
Conclusions:
- The study provides a comprehensive proteomic dataset for Anopheles stephensi ovaries.
- This data can inform future research on malaria vector control and reproductive biology.
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