Proteome data of Anopheles stephensi salivary glands using high-resolution mass spectrometry analysis
Gourav Dey,
Ajeet Kumar Mohanty,
Sreelakshmi K. Sreenivasamurthy,
Manish Kumar,
T.S. Keshava Prasad,
Ashwani Kumar
Affiliations
Gourav Dey
Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore 575018, India; Institute of Bioinformatics, International Tech Park, Bangalore 560066, India; Manipal Academy of Higher Education, Manipal 576104, India
Ajeet Kumar Mohanty
ICMR-National Institute of Malaria Research, Field Unit, Campal, Panaji, Goa 403001, India
Sreelakshmi K. Sreenivasamurthy
Institute of Bioinformatics, International Tech Park, Bangalore 560066, India; Manipal Academy of Higher Education, Manipal 576104, India
Manish Kumar
Institute of Bioinformatics, International Tech Park, Bangalore 560066, India; Manipal Academy of Higher Education, Manipal 576104, India
T.S. Keshava Prasad
Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore 575018, India; Institute of Bioinformatics, International Tech Park, Bangalore 560066, India; Manipal Academy of Higher Education, Manipal 576104, India; Corresponding author at: Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore 575018, India.
Ashwani Kumar
ICMR-National Institute of Malaria Research, Field Unit, Campal, Panaji, Goa 403001, India; Corresponding author.
The data article reports data of the proteins expressed in female Anopheles stephensi salivary glands. Proteomic data were acquired using high-resolution mass spectrometers - Orbitrap-Velos and Orbitrap-Elite. Samples derived from adult female A. stephensi salivary glands led to the identification of 4390 proteins. Mass spectrometry data were analyzed on Proteome Discoverer (Version 2.1) platform with Sequest and Mascot search engines. The identified proteins were analyzed for their Gene Ontology annotation, interaction network and their possible roles in vector-parasite interaction. The data provided here are related to our published article “Integrating transcriptomics and proteomics data for accurate assembly and annotation of genomes” (Prasad et al., 2017) [1].
