@article{fdi:010065921, title = {{C}ombining two-dimensional gel electrophoresis and metabolomic data in support of dry-season survival in the two main species of the malarial mosquito {A}nopheles gambiae}, author = {{H}idalgo, {K}. and {M}ouline, {K}arine and {M}amai, {W}. and {F}oucreau, {N}. and {D}abir{\'e}, {K}.{R}. and {B}ouchereau, {A}. and {S}imard, {F}r{\'e}d{\'e}ric and {R}enault, {D}.}, editor = {}, language = {{ENG}}, abstract = {{I}n dry savannahs of {W}est-{A}frica, the malarial mosquitoes of the {A}nopheles gambiae sensu stricto complex annually survive the harsh desiccating conditions of the dry season. {H}owever, the physiological and biochemical mechanisms underlying how these mosquitoes survive such desiccating conditions are still undefined, and controversial. {I}n this context, we provide the first work examining both proteomic and metabolomic changes in the two molecular forms of {A}. gambiae s.s ({M} and {S} forms) experimentally exposed to the rainy and dry season conditions as they experience in the field. {P}rotein abundances of the mosquitoes were measured using a two-dimensional fluorescence difference gel electrophoresis (2{D} {DIGE}) coupled with a matrix-assisted laser desorption/ionisation-time of flight ({MALDI}-{TOF}) and tandem mass spectrometry ({MS}) for protein identification. {T}hese assays were conducted by {A}pplied {B}iomics (http://www.appliedbiomics.com, {A}pplied {B}iomics, {I}nc. {H}ayward, {CA}, {USA}), and the mass spectrometry proteomics data have been deposited to the {P}roteome{X}change {C}onsortium (http://proteomecentral.proteomexchange.org) via the {PRIDE} partner repository with the dataset identifier {PXD}000294. {T}he metabolomic analysis was conducted using both {A}cquity {UPLC}() system (for amino acid identification), and a gas-chromatography-mass spectrometry platform (for sugars identification). {M}etabolomic fingerprintings were assessed in the {U}niversity of {R}ennes 1, {UMR} {CNRS} 6553 {E}co{B}io ({F}rance). {A} detailed interpretation of the obtained data can be found in {H}idalgo et al. (2014) [1] ({J}ournal of {I}nsect {P}hysiology (2014)).}, keywords = {{AFRIQUE} {DE} {L}'{OUEST} ; {BURKINA} {FASO}}, booktitle = {}, journal = {{D}ata in {B}rief}, volume = {5}, numero = {}, pages = {255--268}, ISSN = {2352-3409}, year = {2015}, DOI = {10.1016/j.dib.2015.08.031}, URL = {https://www.documentation.ird.fr/hor/fdi:010065921}, }