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Microarray validation by qRT-PCR.
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创建时间：
2015-12-02
相关数据集
Validation of the gene interactions in the T-cell activation network.
Gene expression levels of target genes were assessed by real time PCR in PBMCs from 16 new healthy controls after stimulation with IL10, IL4 or CTLA4 (stimulus) for 12 to 24h. Results are described as
Figshare2015-12-02 更新40
Quantitative PCR (RT-qPCR) validation of RNA-seq using liver samples from each of the four comparisons, illustrated in Fig 1.
Quantitative PCR (RT-qPCR) validation of RNA-seq using liver samples from each of the four comparisons, illustrated in Fig 1.
NIAID Data Ecosystem20
Validation of SAGE-type library comparison results and analysis of expression levels of genes encoding proteins involved in infection thread formation by quantitative real-time polymerase chain reaction (qPCR).
Values for qPCR results represent means of three biological replicates. *Contigs were originally classified based on 454 sequencing results. The tendency (nodule-enhanced or root-enhanced expression w
NIAID Data Ecosystem20
Ct values for a skeletal muscle cDNA control demonstrate no plate-to-plate variability.
For each qPCR plate, a skeletal muscle cDNA control sample was included to assess plate-to-plate variability for every primer pair. For the Tissue Panel experiment Ct values represent three skeletal m
NIAID Data Ecosystem30
Top 20 overexpressed genes (>10 fold) in both CS-1/ER and CS-1/PR resistant cell lines.
*Genes in bold were chosen for real-time RT-PCR validation.
Figshare2015-12-02 更新20
