Within each group, we investigated the correlation between the expression levels of the 11 miRNAs identified by miRNA expression profiling and the prognosis of patients with resected pancreatic cancer.
We also developed a web interface supporting diverse query entries that include search by miRNA, expression profile or pathway, and a mining toolbox including correlation, differential expression analysis and clustering to explore the expression data.
In the present study, we proposed a microarray based network biology approach to identify the key miRNAs most likely related to myocardial infarction (MI) by integrating miRNA expression and protein-protein interaction (PPI) network data.
In addition, identifying targets by altering miRNA expression and measuring changes in mRNA levels returns no information on which targets might be the most important in carrying out the actual biological processes (e.g. cellular differentiation) and is limited to the study of the altered miRNA.
Most approaches do not test the clinical outcome by considering miRNA expression and mRNAs expression simultaneously.
First, we argued that miRNA-expression profiles in whole blood, platelet-rich plasma, and PBMCs would be dominated by host miRNA expression, and therefore would be less suitable for the detection of tumor-specific miRNA expression.
By combining miRNA expression and patient survival data from our LUAC cohort (n = 91) with the TCGA LUAC cohort (n = 127; combined cohort n = 218 with 102 FST, 75 CST and 41 NST), we addressed these challenges and performed the first smoking status-specific miRNA survival analysis of LUAC.
The developed miR-Q arrays enable reliable and feasible quantification of small non-coding RNAs as exemplified by miRNA expression analysis during monocyte differentiation and infection.
We evaluated mature miRNA expression levels of five pairs of normal epithelia and MSSCC by miRNA expression signature analysis.
The protein expression of four genes predicted to be down-regulated (cyclin D1, FOXP1, NRP1 and ERβ) and two predicted to be up-regulated (FIH-1 and CD99) by miRNA expression in BRCA1 vs. sporadic basal cancers were assessed via immunohistochemical staining on TMAs constructed from an cohort of 35 BRCandand 52 sporadic basal cancers.
