Proteome data of Anopheles stephensi ovary using high-resolution mass spectrometry
Gourav Dey,
Ajeet Kumar Mohanty,
Manish Kumar,
Sreelakshmi K. Sreenivasamurthy,
Arun H. Patil,
T.S. Keshava Prasad,
Ashwani Kumar
Affiliations
Gourav Dey
Center for Systems Biology and Molecular Medicine, Yenepoya Research Center, Yenepoya (Deemed to be University), Mangalore 575018, India; Institute of Bioinformatics, International Tech Park, Bangalore 560066, India; Manipal Academy of Higher Education, Madhav Nagar, Manipal 576104, India
Ajeet Kumar Mohanty
ICMR-National Institute of Malaria Research, Field Unit, Campal, Panaji, Goa 403001, India
Manish Kumar
Institute of Bioinformatics, International Tech Park, Bangalore 560066, India; Manipal Academy of Higher Education, Madhav Nagar, Manipal 576104, India
Sreelakshmi K. Sreenivasamurthy
Institute of Bioinformatics, International Tech Park, Bangalore 560066, India; Manipal Academy of Higher Education, Madhav Nagar, Manipal 576104, India
Arun H. Patil
Center for Systems Biology and Molecular Medicine, Yenepoya Research Center, Yenepoya (Deemed to be University), Mangalore 575018, India; Institute of Bioinformatics, International Tech Park, Bangalore 560066, India; School of Biotechnology, Kalinga Institute of Industrial Technology, Bhubaneswar, 751024, India
T.S. Keshava Prasad
Center for Systems Biology and Molecular Medicine, Yenepoya Research Center, Yenepoya (Deemed to be University), Mangalore 575018, India; Institute of Bioinformatics, International Tech Park, Bangalore 560066, India; Corresponding author at: Center for Systems Biology and Molecular Medicine, Yenepoya Research Center, Yenepoya (Deemed to be University), Mangalore 575 018, India.
Ashwani Kumar
ICMR-National Institute of Malaria Research, Field Unit, Campal, Panaji, Goa 403001, India; Corresponding author.
This article contains data on the proteins expressed in the ovaries of Anopheles stephensi, a major vector of malaria in India. Data acquisition was performed using a high-resolution Orbitrap-Velos mass spectrometer. The acquired MS/MS data was searched against An. stephensi protein database comprising of 11,789 sequences. Overall, 4407 proteins were identified, functional analysis was performed for the identified proteins and a protein-protein interaction map predicted. The data provided here is also related to a published article - “Integrating transcriptomics and proteomics data for accurate assembly and annotation of genomes” (Prasad et al., 2017) [1].
