IdPlaAlba
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB45186 | ENA |
REPOSITORIES: ENA
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Project description:Lifespan varies both within and across species, but the general principles of its control are not understood. To identify transcriptomic signatures of mammalian longevity, we sequenced multiple organs of young adult mammals corresponding to 8 different species, including Canadian beaver, long-tailed macaque, greater tube-nosed bat, baboon, white-footed mouse, sugar glider, Siberian chipmunk and American black bear. We aggregated this dataset with publicly available pan-mammalian data and performed multi-tissue gene expression analyses across 41 mammalian species. This allowed us to identifiy signatures of species longevity and assess their relationship with biomarkers of aging and lifespan-extending interventions. This dataset complements RNAseq profiles of tissues from 23 mammalian species stored at GSE43013.
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Project description:Malaria morbidity and mortality caused by both Plasmodium falciparum and Plasmodium vivax extend well beyond the African continent, and, although P. vivax causes 80-300 million severe cases each year, vivax transmission remains poorly understood. Plasmodium parasites are transmitted by Anopheles mosquitoes, and the critical site of interaction between parasite and host is at the mosquito's luminal midgut brush border. While the genome of the "model" African P. falciparum vector, Anopheles gambiae, has been sequenced, evolutionary divergence limits its utility as a reference across anophelines, especially non-sequenced P. vivax vectors such as Anopheles albimanus. Clearly, enabling technologies and platforms that bridge this substantial scientific gap are required in order to provide public health scientists key transcriptomic and proteomic information that could spur the development of novel interventions to combat this disease. To our knowledge, no approaches have been published which address this issue. To bolster our understanding of P. vivax-An. albimanus midgut interactions, we developed an integrated bioinformatic-hybrid RNA-Seq-LC-MS/MS approach involving An. albimanus transcriptome (15,764 contigs) and luminal midgut subproteome (9,445 proteins) assembly, which, when used with our custom Diptera protein database (685,078 sequences), facilitated a comparative proteomic analysis of the midgut brush borders of two important malaria vectors, An. gambiae and An. albimanus. Summary from: http://www.mcponline.org/content/early/2012/10/17/mcp.M112.019596.long The An. albimanus transcriptome dataset is available at http://funcgen.vectorbase.org/RNAseq/Anopheles_albimanus/INSP/v2
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