Project description:This SuperSeries is composed of the following subset Series: GSE26376: Microarray profiling of monocytic differentiaion reveals miRNA-mRNA intrinsic correlation (miRNA) GSE26377: Microarray profiling of monocytic differentiaion reveals miRNA-mRNA intrinsic correlation (gene expression) Refer to individual Series
Project description:The aim of our study is to identify miRNAs responsible for bone-cancer pain condition and their target mRNAs. We combined mRNA profiling with Affymetrix microarray and miRNA measurement with a qRT-PCR-based technique. Then, a cross-correlation of these data highlighted miRNA-mRNA pairs that were further characterized with functional experiments.
Project description:Sequence Data of total RNA, miRNA, WGB, mRNA, NOMe, Chip (H3K27ac,H3K27me, H3K36me3, H3K4me1, H3K4me3, H3K9me3, Input)
Short Desrciption: Epigenetic profiling of human CD4+ memory T cells reveals their proliferative history and argues in favor of a progressive differentiation model driven by epigenetically controlled master regulators.
Project description:A multi-step approach combining microarray profile and bioinformatics analysis was adopted to identify the CRC specific miRNA-mRNA regulatory network. First, differentially expressed miRNAs and mRNAs were found out in CRC samples compared with normal epithelial tissues by miRNA and mRNA microarray respectively. Secondly the target mRNAs of dysregualted miRNA were identified by a combination of Pearson correlation coefficient between the expression level of miRNAs and mRNAs and online miRNA target predicting databases. Thirdly, the biological pathways which the miRNA-mRNA pairs involved in were identified by DAVID. Finally, some of the dysregualted miRNAs and mRNAs were validated by qRT-PCR
