Dataset Information

The omics data were used to reveal the role of aaNAT1 in the salivary glands of Aedes aegypti and the changes in metabolites in the salivary glands of Aedes aegypti after blood-feeding.

ABSTRACT:

The salivary glands of Aedes aegypti were collected separately from the following four groups: those injected with AaaaNAT1 dsRNA, those injected with GUS dsRNA, those after blood-feeding, and those without any treatment. Metabolomic analysis was performed on these four sample groups to utilize the omics data in revealing the role of aaNAT1 in the salivary glands of Aedes aegypti and the changes in metabolites within the salivary glands of Aedes aegypti after blood-feeding.

INSTRUMENT(S): Liquid Chromatography MS - negative - reverse-phase, Liquid Chromatography MS - positive - reverse-phase

PROVIDER: MTBLS13324 | MetaboLights | 2025-11-17

REPOSITORIES: MetaboLights

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Dataset's files

Source:

			Action	DRS
	a_MTBLS13324_LC-MS_negative_reverse-phase_metabolite_profiling.txt	Txt
	a_MTBLS13324_LC-MS_positive_reverse-phase_metabolite_profiling.txt	Txt
	i_Investigation.txt	Txt
	m_MTBLS13324_LC-MS_negative_reverse-phase_metabolite_profiling_v2_maf.tsv	Tabular
	m_MTBLS13324_LC-MS_positive_reverse-phase_metabolite_profiling_v2_maf.tsv	Tabular

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Project description:Background: Anopheles culicifacies is a rural vector of malaria in tropical and sub tropical South East Asian region. The salivary gland of the mosquito is the target for sporozoite interaction, blood feeding behavior, haemostasis and vector-parasite interactions. Malaria parasite matures inside the salivary gland, gain competence and transmitted to the host along with the saliva during biting. The importance of the proteins expressed in salivary gland is the first step in understanding the physiology of blood feeding and may provide insights into vector- parasite interactions. Since, no genomic or transcriptomics information is available of Anopheles culicifacies, therefore locally expressed functional proteins in salivary glands are of much importance. . Method: In this study, 1DE protein and in solution digestion was combined with tandem mass spectrometry (nano LC-MS/MS) and computational bioinformatics for data mining was employed to study the proteome profile of salivary glands of sugar fed An. culicifacies mosquito species. Functional annotation of all the identified proteins was carried out using gene ontology tools, CELLO and SMART analysis software. Results: Total 102 proteins were identified and analysed by SEQUEST algorithm against mosquito protein database from Uniprot/NCBI. Out of which 81 proteins were identified using gel free approach and 21 proteins using in-gel approach and 15 were common among these two approaches. All the identified proteins were categorized in to 23 groups of biological processes using GO tool. 7 proteins were depicted to be secretary in nature by investigating the signal peptide present. Potential proteins with unknown function were predicted by analyzing their functional association with other characterized proteins by STRING algorithm and were categorized in cell adhesion, cytoskeleton and membrane trafficking networks. Conclusion: Our study elucidates the first proteomic dataset of An. culicifacies salivary gland proteins. Functional annotation of salivary proteins and complementary gene ontology assignments in An. culicifacies species may contribute towards understanding the complex physiology of the tissues in this species. This proteome baseline data may facilitate the discernment of salivary glands and parasite correlation during blood feeding. Furthermore, this mass spectrometry based proteomic data may also provide insights into the elucidation of role of differential functional proteins present in refractory An. culicifacies mosquito and may be useful for development of effective malaria control strategies.

Dataset Information

The omics data were used to reveal the role of aaNAT1 in the salivary glands of Aedes aegypti and the changes in metabolites in the salivary glands of Aedes aegypti after blood-feeding.

Dataset's files

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