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Transcriptomics and disease vector control

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 07 May 2010 English Publisher:Springer Science and Business Media LLCJournal:BMC Biology, volume 8 (eissn: 1741-7007,

Authors: Hilary Ranson; Luke Alphey; John Vontas;

doi: 10.1186/1741-7007-8-52

pmid: 20525113

pmc: PMC2867780

Transcriptomics and disease vector control

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Abstract

Next-generation sequencing can be used to compare transcriptomes under different conditions. A study in BMC Genomics applies this approach to investigating the effects of exposure to a range of xenobiotics on changes in gene expression in the larvae of Aedes aegypti, the mosquito vector of dengue fever.

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Keywords

QH301-705.5, wa_395, Disease Vectors, Insect Control, wa_110, qw_45, Xenobiotics, Insecticide Resistance, Aedes, qx_600, qx_525, Animals, Biology (General), Oligonucleotide Array Sequence Analysis, wa_105, Agricultural and Biological Sciences(all), Biochemistry, Genetics and Molecular Biology(all), Gene Expression Profiling, qu_300, wa_525, wa_108, wa_240, Sequence Analysis, DNA, qx_650, Gene Expression Regulation, qx_510, Larva, Commentary

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	13
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average