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Data Brief. 2019 Apr 8;24:103911. doi: 10.1016/j.dib.2019.103911. eCollection 2019 Jun.

Proteome data of female Anopheles stephensi antennae.

Author information

1
ICMR - National Institute of Malaria Research, Field Unit, Campal, Panaji, Goa 403001, India.
2
Institute of Bioinformatics, Discoverer Building, International Tech Park, Bangalore 560 066, India.
3
Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
4
Department of Microbiology, Goa University, Taleigao Plateau, Goa Pin - 403206, India.
5
Center for Systems Biology and Molecular Medicine, Yenepoya Research Center, Yenepoya University, Mangalore 575018, India.

Abstract

Antennae of female Anopheles stephensi mosquitoes were dissected and lysed with 1% SDS. Proteins were extracted using ultra sonication and analyzed on high resolution mass spectrometer. Proteomic data was analyzed using two search algorithms SEQUEST and Mascot, resulting in the identification of 22,729 peptides corresponding to 3262 proteins. These proteins were characterized using different bioinformatics tools. VectorBase resource was used to assign Gene Ontology (GO) terms. Using Biomart tool ortholog information was fetched from the VectorBase database. Raw mass spectrometric data was deposited in ProteomeXchange Consortium via PRIDE partner repository in the public dataset PXD001128. Proteins involved in insecticide resistance and odorant binding were the most abundant in the antennae. The proteins identified in this study could be targeted for developing novel vector control strategy.

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