human circrna array v2 (4 × 180k) (CapitalBio Corporation)
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Human Circrna Array V2 (4 × 180k), supplied by CapitalBio Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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1) Product Images from "Potential Diagnostic Power of Blood Circular RNA Expression in Active Pulmonary Tuberculosis"
Article Title: Potential Diagnostic Power of Blood Circular RNA Expression in Active Pulmonary Tuberculosis
Journal: EBioMedicine
doi: 10.1016/j.ebiom.2017.12.007
Figure Legend Snippet: The experimental scheme of the study. The discovery cohort was composed of two TB patients and two age- and gender-matched healthy controls: one young male case-control pair and one senior female case-control pair. PBMC circRNA expression in the discovery cohort was profiled by both rRNA-depleted RNA-seq and a circRNA expression microarray. We aggregated circRNAs into pathway-level mechanisms using KEGG pathway definitions. Pathways with significant circRNA dysregulation were prioritized by performing a paired Wilcoxon signed-rank test between paired control and TB samples. A molecular signature was developed based on the dysregulated circRNAs within the prioritized pathways. This circRNA signature was further validated by qRT-PCR in a validation cohort with 11 healthy controls and 10 TB patients.
Techniques Used: Control, Expressing, RNA Sequencing, Microarray, Quantitative RT-PCR, Biomarker Discovery
Figure Legend Snippet: Landscape of PBMC circRNA expression. (a) A Venn diagram of the parental genes with circRNA transcripts among PBMCs, platelets, RBCs, and whole blood. (b) Distribution of log 2 -transformed TPM values of circular transcripts in PBMCs, platelets, RBCs, and whole blood. (c) The fraction of RNA-seq reads from coding linear, non-coding linear, and circular transcripts. (d) The cumulative distribution of TPM values of circular transcripts. A significantly increased circRNA TPM was observed in the TB patients compared with the healthy controls. The P -values were computed by the Kolmogorov-Smirnov test.
Techniques Used: Expressing, Transformation Assay, RNA Sequencing
Figure Legend Snippet: The KEGG pathways enriched by upregulated circRNAs. A paired Wilcoxon test was applied to identify the KEGG pathways enriched by dysregulated circRNAs in young and senior TB patients. (a) The correlation in Z -scores (computed by a paired Wilcoxon test) between young and senior case-control pairs. Each dot represents one KEGG pathway. The red points stand for the pathways with circular transcripts commonly upregulated in both young and senior TB patients. (b) Paired comparison of circRNA expression in the five prioritized KEGG pathways. (c) Comparison of the fraction of circRNA reads in the five pathways between healthy controls and TB patients.
Techniques Used: Control, Comparison, Expressing
Figure Legend Snippet: Technical validation of the five prioritized KEGG pathways using a circRNA expression microarray. Total RNA was treated with RNase R to remove linear transcripts and then subject to microarray hybridization.
Techniques Used: Biomarker Discovery, Expressing, Microarray, Hybridization
Figure Legend Snippet: The 7-circRNA signature.
Techniques Used:
Figure Legend Snippet: The 7-circRNA signature. (a) Expression heatmap of the circRNAs within the 7-circRNA signature in the discovery cohort. The expression measured by both RNA-seq and circRNA microarray is displayed. (b) Comparison of the expression levels of the 7-circRNA signature between the healthy controls and TB patients in the validation cohort. The error bars represent the standard error of the mean. (c) Principal component analysis of the 7-circRNA signature. PC1: the first principal component; PC2: the second principal component. (d) Comparison of the circRNA-based TB index between the healthy controls and TB patients in the validation cohort. (e) The ROC curve of the TB index in distinguishing TB patients from healthy controls. The light blue area indicates the confidence interval of the ROC curve.
Techniques Used: Expressing, RNA Sequencing, Microarray, Comparison, Biomarker Discovery
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