The microarray data analysis was performed with the use of the GeneSpring 12.6.1 platform (Agilent Technologies, Inc., Santa Clara, CA, USA) and PL-Grid Infrastructure. In order to determine which of the differentiating miRNAs of the fibroblast cells exposed to the drug, compared to the control sample, could potentially affect the transcriptional activity of the differentiating mRNAs, the miRNA target prediction tools mirTAR (
Genespring 12.6.1 platform
GeneSpring 12.6.1 is a bioinformatics software platform designed for the analysis and visualization of genomic data. It provides a comprehensive suite of tools for data import, quality control, gene expression analysis, pathway analysis, and data visualization.
Lab products found in correlation
2 protocols using genespring 12.6.1 platform
Microarray Analysis of Differentially Expressed Genes
The microarray data analysis was performed with the use of the GeneSpring 12.6.1 platform (Agilent Technologies, Inc., Santa Clara, CA, USA) and PL-Grid Infrastructure. In order to determine which of the differentiating miRNAs of the fibroblast cells exposed to the drug, compared to the control sample, could potentially affect the transcriptional activity of the differentiating mRNAs, the miRNA target prediction tools mirTAR (
miRNA Expression Profile Analysis
The first step comprised labelling of miRNA with biotin by polyadenylation and ligation. The evaluation of labelling efficiency was verified using ELOS QC Assay (FlashTagBiotin HSR RNA Labeling Kit, Affymetrix). Subsequently the hybridization of labelled RNA molecules of the microarray and probes were scanned using GeneArray Scanner 3000 7G (Agilent Technologies, CA). The scanned data were processed for signal values using Microarray Suite 5.0 software (Affymetrix).
Agilent GeneSpring GX software was used for statistical analysis of the data after microarrays scanning. Differentially expressed genes were determined using one-way ANOVA (analysis of variance) test with asymptotic computation of p-values. The criteria used for differentially expressed genes required the absolute value of fold change (FC) to be greater than 1 (|FC| > 2) in at least one compared sample pairs. The standard cut-off of p-value < 0.05 was set to determine statistical significance of mRNA fluorescent signals. Microarray data analysis was performed with the use of the GeneSpring 12.6.1 platform (Agilent Technologies, Inc., Santa Clara, CA, USA) and PL-Grid Infrastructure.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!