Proteomics

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Dataset on fat body proteome of Anopheles stephensi Liston


ABSTRACT: Fat body is an important tissue in the context of vitellogenesis, vector immunity, vector physiology and vector-parasite interaction. However, the proteome of this vital organ has not been investigated in any Anopheline species so far. In this study, we employed multiple fractionation method followed by high resolution mass spectrometry to characterize fat body proteome of female mosquitoes An. stephensi Indian strain. In all, we identified 4, 535 proteins in the fat body and a subset of these proteins were found to be restricted to fat body. Gene ontology analysis of these proteins suggested their role in metabolism, lipid transport, vitellogenesis, mosquito immunity and oxidation-reduction processes. By far, this is the largest proteomic resource of fat body in any mosquito species.

INSTRUMENT(S): LTQ Orbitrap, LTQ Orbitrap Elite

ORGANISM(S): Anopheles Stephensi (asian Malaria Mosquito)

TISSUE(S): Fat Body, Fat Body Cell

DISEASE(S): Disease Free

SUBMITTER: Keshava Prasad T. S.  

LAB HEAD: T. S. Keshava Prasad

PROVIDER: PXD006677 | Pride | 2019-01-07

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
A_stephensi_Fatbody_IG_10ppm.msf Msf
A_stephensi_Fatbody_IGbRPLC.pdResult Other
A_stephensi_Fatbody_bRPLC.msf Msf
A_stephensi_Fatbody_bRP_1.raw Raw
A_stephensi_Fatbody_bRP_10.raw Raw
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Dataset on fat body proteome of <i>Anopheles stephensi</i> Liston.

Kumar Manish M   Mohanty Ajeet Kumar AK   Dey Gourav G   Sreenivasamurthy Sreelakshmi K SK   Kumar Ashwani A   Prasad Keshava K  

Data in brief 20190111


Fat body from <i>Anopheles stephensi</i> female mosquitoes were dissected and processed for proteomic analysis. Both SDS-PAGE and basic Reverse Phase Liquid Chromatography-based fractionation strategies were used to achieve a broad coverage of protein identification. The fractionated peptides were then analyzed on a high-resolution mass spectrometer. Searching the raw data against the protein database of <i>An. stephensi</i> resulted in identification of 4535 proteins, which is, to our knowledge  ...[more]

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