qPCR validation for selected genes from PG and LFG.

NIAID Data Ecosystem2026-03-06 收录

基因表达验证

qPCR定量

数据链接：

https://figshare.com/articles/dataset/_qPCR_validation_for_selected_genes_from_PG_and_LFG_/481128 数据链接链接失效反馈

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资源简介：

1FC ratio here indicated the ratio of PG/control over LPS/control. 2The genes involved in the pathways showed in the Table1.

创建时间：

2010-12-23

Results for the mRNA prognostic signature applied to external datasets.

癌症预后模型

基因表达验证

The number of features and four measures of performance are provided for the PFS and OS mRNA signatures. Hazard Ratio (HR) and 95% confidence interval (CI) are reported for low- and high-risk groups b

NIAID Data Ecosystem60

Ct values for a skeletal muscle cDNA control demonstrate no plate-to-plate variability.

qPCR实验质量控制

基因表达验证

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

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).

根瘤菌共生

基因表达验证

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

Validation of the gene interactions in the T-cell activation network.

T细胞活化通路

基因表达验证

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.

基因表达验证

RNA-seq验证

Quantitative PCR (RT-qPCR) validation of RNA-seq using liver samples from each of the four comparisons, illustrated in Fig 1.

NIAID Data Ecosystem20