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Proteome data of female Anopheles stephensi antennae

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dc.contributor.author Mohanty, A.K.
dc.contributor.author Dey, G.
dc.contributor.author ManishKumar
dc.contributor.author Sreenivasamurthy, S.K.
dc.contributor.author Garg, S.
dc.contributor.author Prasad, T.S.K.
dc.contributor.author AshwaniKumar
dc.date.accessioned 2019-09-09T11:28:35Z
dc.date.available 2019-09-09T11:28:35Z
dc.date.issued 2019
dc.identifier.citation Data in Brief. 24; 2019; ArticleID_103911. en_US
dc.identifier.uri https://doi.org/10.1016/j.dib.2019.103911
dc.identifier.uri http://irgu.unigoa.ac.in/drs/handle/unigoa/5835
dc.description.abstract Antennae of female Anopheles stephensi mosquitoes were dissected and lysed with 1 percent 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. en_US
dc.publisher Elsevier en_US
dc.subject Microbiology en_US
dc.title Proteome data of female Anopheles stephensi antennae en_US
dc.type Journal article en_US
dc.identifier.impf cs


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