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Brain proteomics of Anopheles gambiae.
Brain proteomics of Anopheles gambiae.
- Source :
-
Omics : a journal of integrative biology [OMICS] 2014 Jul; Vol. 18 (7), pp. 421-37. Date of Electronic Publication: 2014 Jun 17. - Publication Year :
- 2014
-
Abstract
- Anopheles gambiae has a well-adapted system for host localization, feeding, and mating behavior, which are all governed by neuronal processes in the brain. However, there are no published reports characterizing the brain proteome to elucidate neuronal signaling mechanisms in the vector. To this end, a large-scale mapping of the brain proteome of An. gambiae was carried out using high resolution tandem mass spectrometry, revealing a repertoire of >1800 proteins, of which 15% could not be assigned any function. A large proportion of the identified proteins were predicted to be involved in diverse biological processes including metabolism, transport, protein synthesis, and olfaction. This study also led to the identification of 10 GPCR classes of proteins, which could govern sensory pathways in mosquitoes. Proteins involved in metabolic and neural processes, chromatin modeling, and synaptic vesicle transport associated with neuronal transmission were predominantly expressed in the brain. Proteogenomic analysis expanded our findings with the identification of 15 novel genes and 71 cases of gene refinements, a subset of which were validated by RT-PCR and sequencing. Overall, our study offers valuable insights into the brain physiology of the vector that could possibly open avenues for intervention strategies for malaria in the future.
- Subjects :
- Alternative Splicing
Animals
Anopheles genetics
Computational Biology
Female
Genomics
Insect Proteins genetics
Insect Proteins metabolism
Male
Mass Spectrometry
Open Reading Frames
Peptides
Protein Biosynthesis
Proteome
Reading Frames
Reproducibility of Results
Untranslated Regions
Anopheles metabolism
Brain metabolism
Proteomics methods
Subjects
Details
- Language :
- English
- ISSN :
- 1557-8100
- Volume :
- 18
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- Omics : a journal of integrative biology
- Publication Type :
- Academic Journal
- Accession number :
- 24937107
- Full Text :
- https://doi.org/10.1089/omi.2014.0007