TAS::75 0862::TAS SBIR 2010 TOPIC 109
TAS::75 0862::TAS SBIR 2010 TOPIC 109
批准号:
8163995
负责人:
KIRK COLLAMER
金额:
$14.94万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-06-30 至 2011-06-29
关键词:
AffectAutomationBiological AssayCell LineCellsCompanionsCytolysisDataDimethyl SulfoxideDoseEnzymesGene ExpressionGene Expression ProfileGenesHepatocyteMapsMeasuresMessenger RNAMetabolismMicroRNAsMonitorNuclease Protection AssaysPathway interactionsPhasePractice GuidelinesReportingReproducibilityResearchSamplingScreening procedureServicesSmall Business Innovation Research GrantSystemTestingTimeValidationbaseblindcell typecost effectivein vivoliver functionnovelresponse
中文摘要
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英文摘要
This Phase I proposal will develop and validate assays to measure the metabolism of compounds
and their affect on liver cells using a multiplexed gene expression assay platform, the quantitative Nuclease
Protection Assay (qNAP¿) that can measure the expression of up to 100 mRNA and miRNA and is a
simple, robust and highly precise assay that provides high sample throughput. Two cell systems will be
evaluated, HepaRG cell line and primary hepatocytes. The genes associated with metabolism are known,
and they will be incorporated into the assay. miRNA associated with metabolism are not known, and they
will be identified using a whole transcriptome miRNA assay. The final screening assay will incorporate both
mRNA and miRNA, and will be performed in a 384-well format. The data generated will be dose response
data so that differential metabolism can be assessed based of what genes are regulated as well as the EC50
at which they are regulated.
The significance is that this assay will enable the screening of compounds for metabolism on a cell system
that mirrors in vivo liver function and assess all the pathways by which compounds are metabolized,
including Phase I and Phase II metabolism, and transporters, so that not only will the primary compound
effects be monitored, but also the effect of metabolites produced by the cell system will be assessed. This
will be done ins a single assay, something that cannot be done with enzyme assays. Acquiring dose
response data and EC50's at the level of gene expression is highly novel, and brings gene expression up to
the level where metabolism enzyme assays are today.
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