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Mapping Anopheles stephensi midgut proteome using high-resolution mass spectrometry
Anopheles stephensi Liston is one of the major vectors of malaria in urban areas of India. Midgut plays a central role in the vector life cycle and transmission of malaria. Because gene expression of An. stephensi midgut has not been investigated at protein level, an unbiased mass spectrometry-based...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5966514/ https://www.ncbi.nlm.nih.gov/pubmed/29845101 http://dx.doi.org/10.1016/j.dib.2018.02.028 |
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author | Mohanty, Ajeet Kumar Dey, Gourav Kumar, Manish Sreenivasamurthy, Sreelakshmi K. Garg, Sandeep Prasad, T. S. Keshava Kumar, Ashwani |
author_facet | Mohanty, Ajeet Kumar Dey, Gourav Kumar, Manish Sreenivasamurthy, Sreelakshmi K. Garg, Sandeep Prasad, T. S. Keshava Kumar, Ashwani |
author_sort | Mohanty, Ajeet Kumar |
collection | PubMed |
description | Anopheles stephensi Liston is one of the major vectors of malaria in urban areas of India. Midgut plays a central role in the vector life cycle and transmission of malaria. Because gene expression of An. stephensi midgut has not been investigated at protein level, an unbiased mass spectrometry-based proteomic analysis of midgut tissue was carried out. Midgut tissue proteins from female An. stephensi mosquitoes were extracted using 0.5% SDS and digested with trypsin using two complementary approaches, in-gel and in-solution digestion. Fractions were analysed on high-resolution mass spectrometer, which resulted in acquisition of 494,960 MS/MS spectra. The MS/MS spectra were searched against protein database comprising of known and predicted proteins reported in An. stephensi using Sequest and Mascot software. In all, 47,438 peptides were identified corresponding to 5,709 An. stephensi proteins. The identified proteins were functionally categorized based on their cellular localization, biological processes and molecular functions using Gene Ontology (GO) annotation. Several proteins identified in this data are known to mediate the interaction of the Plasmodium with vector midgut and also regulate parasite maturation inside the vector host. This study provides information about the protein composition in midgut tissue of female An. stephensi, which would be useful in understanding vector parasite interaction at molecular level and besides being useful in devising malaria transmission blocking strategies. The data of this study is related to the research article “Integrating transcriptomics and proteomics data for accurate assembly and annotation of genomes”. |
format | Online Article Text |
id | pubmed-5966514 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-59665142018-05-29 Mapping Anopheles stephensi midgut proteome using high-resolution mass spectrometry Mohanty, Ajeet Kumar Dey, Gourav Kumar, Manish Sreenivasamurthy, Sreelakshmi K. Garg, Sandeep Prasad, T. S. Keshava Kumar, Ashwani Data Brief Proteomics and Biochemistry Anopheles stephensi Liston is one of the major vectors of malaria in urban areas of India. Midgut plays a central role in the vector life cycle and transmission of malaria. Because gene expression of An. stephensi midgut has not been investigated at protein level, an unbiased mass spectrometry-based proteomic analysis of midgut tissue was carried out. Midgut tissue proteins from female An. stephensi mosquitoes were extracted using 0.5% SDS and digested with trypsin using two complementary approaches, in-gel and in-solution digestion. Fractions were analysed on high-resolution mass spectrometer, which resulted in acquisition of 494,960 MS/MS spectra. The MS/MS spectra were searched against protein database comprising of known and predicted proteins reported in An. stephensi using Sequest and Mascot software. In all, 47,438 peptides were identified corresponding to 5,709 An. stephensi proteins. The identified proteins were functionally categorized based on their cellular localization, biological processes and molecular functions using Gene Ontology (GO) annotation. Several proteins identified in this data are known to mediate the interaction of the Plasmodium with vector midgut and also regulate parasite maturation inside the vector host. This study provides information about the protein composition in midgut tissue of female An. stephensi, which would be useful in understanding vector parasite interaction at molecular level and besides being useful in devising malaria transmission blocking strategies. The data of this study is related to the research article “Integrating transcriptomics and proteomics data for accurate assembly and annotation of genomes”. Elsevier 2018-02-21 /pmc/articles/PMC5966514/ /pubmed/29845101 http://dx.doi.org/10.1016/j.dib.2018.02.028 Text en © 2018 Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Proteomics and Biochemistry Mohanty, Ajeet Kumar Dey, Gourav Kumar, Manish Sreenivasamurthy, Sreelakshmi K. Garg, Sandeep Prasad, T. S. Keshava Kumar, Ashwani Mapping Anopheles stephensi midgut proteome using high-resolution mass spectrometry |
title | Mapping Anopheles stephensi midgut proteome using high-resolution mass spectrometry |
title_full | Mapping Anopheles stephensi midgut proteome using high-resolution mass spectrometry |
title_fullStr | Mapping Anopheles stephensi midgut proteome using high-resolution mass spectrometry |
title_full_unstemmed | Mapping Anopheles stephensi midgut proteome using high-resolution mass spectrometry |
title_short | Mapping Anopheles stephensi midgut proteome using high-resolution mass spectrometry |
title_sort | mapping anopheles stephensi midgut proteome using high-resolution mass spectrometry |
topic | Proteomics and Biochemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5966514/ https://www.ncbi.nlm.nih.gov/pubmed/29845101 http://dx.doi.org/10.1016/j.dib.2018.02.028 |
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