Proteome data of Anopheles stephensi hemolymph using high resolution mass spectrometry
Gourav Dey,
Ajeet Kumar Mohanty,
Manish Kumar,
Sreelakshmi K. Sreenivasamurthy,
Ashwani Kumar,
T.S. Keshava Prasad
Affiliations
Gourav Dey
Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore 575018, India; Institute of Bioinformatics, Discoverer Building, International Tech Park, Bangalore 560066, India; Manipal Academy of Higher Education, Madhav Nagar, Manipal, Karnataka 576104, India
Ajeet Kumar Mohanty
National Institute of Malaria Research, Field Station, Campal, Panaji, Goa 403001, India
Manish Kumar
Institute of Bioinformatics, Discoverer Building, International Tech Park, Bangalore 560066, India; Manipal Academy of Higher Education, Madhav Nagar, Manipal, Karnataka 576104, India
Sreelakshmi K. Sreenivasamurthy
Institute of Bioinformatics, Discoverer Building, International Tech Park, Bangalore 560066, India; Manipal Academy of Higher Education, Madhav Nagar, Manipal, Karnataka 576104, India
Ashwani Kumar
National Institute of Malaria Research, Field Station, Campal, Panaji, Goa 403001, India; Corresponding author.
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, Discoverer Building, International Tech Park, Bangalore 560066, India; Corresponding author at: Center for Systems Biology and Molecular Medicine Yenepoya Research Centre Yenepoya (Deemed to be University), Mangalore 575018, India.
The article provides insights into the protein expression in Anopheles stephensi hemolymph. We carried out data acquisition using a high-resolution LTQ-Orbitrap Velos mass spectrometer to identify the hemolymph proteins of An. stephensi. Experimentally derived mass spectrometry data was analyzed using Proteome Discoverer 2.1 software using two different search algorithms SEQUEST and MASCOT. A total of 1091 proteins were identified from the hemolymph. The identified proteins were categorized for their role in biological processes and molecular functions. The interactions between these proteins were predicted using STRING online tool. Relation can be drawn between the data provided in this study to the already published article “Integrating transcriptomics and proteomics data for accurate assembly and annotation of genomes” (Prasad et al., 2017) [1].
