How much rna needed for microarray

This indicates degradation, which is verified by an RIN value of 2. The ratio of the 18ss peaks still falls within the required region of 1.

It may be because things were not clean enough or that those cheeky RNases got involved somehow! Unfortunately, the bad news is that you will have to re-extract your RNA from your cells and try again. Has this helped you? Then please share with your network. We are facing a problem regarding RNA gel electrophoresis. We have done gel electrophoresis with 1ug of each sample but surprisingly have not got any band, smear pattern or not even any degraded nucleotide fluorescence in the gel.

If anyone has solution please reply. You must be logged in to post a comment. This site uses Akismet to reduce spam. Learn how your comment data is processed. Facebook Twitter LinkedIn More. Written by Emma Hutchinson. Microarray Technology. User-Friendly Data Analysis Tools. Benchtop RNA-Seq Technology The NextSeq System supports a broad range of conventional and emerging applications, from transcriptome sequencing to exome sequencing, single-cell profiling, and more. Beginner's Guide to Next-Generation Sequencing Considering bringing next-generation sequencing to your lab, but unsure where to start?

Get Started. Additional Information. Interested in receiving newsletters, case studies, and information from Illumina based on your area of interest? Sign up now. Related Solutions. Gene Expression and Transcriptome Analysis Learn how to analyze transcriptome changes or profile genome-wide gene expression levels in a single experiment with next-generation sequencing methods.

RNA-Seq: a revolutionary tool for transcriptomics. Nat Rev Genet. PLoS One. The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance. We gratefully acknowledge expert histological technical support from Christina Dunn in Preclinical Safety. Neutrophils are particularly prominent in MDA toxicity, with many neutrophils in the bile duct lumina.

The inset images demonstrate the cytologic features of bile duct epithelial hypertrophy. C CCl 4 administration resulted in macrovesicular and microvesicular hepatocellular steatosis with a centrilobular distribution. The inset image demonstrates a vacuolated hepatocyte.

D Diclofenac and E APAP, administration under the dosing regimen described did not result in histopathological evidence of hepatocellular or bile duct injury. The extent of vacuolization observed in some hepatocytes was not significantly different from untreated control.

Insets for D,E demonstrate individual hepatocytes with cytoplasmic features not different from vehicle control. The red color line shows the genes that are highly regulated in RNA-Seq compared to microarray. The green line shows genes with comparable expression in both platforms. X-axis denotes cis -gene name and Y-axis is log 2 transformed fold change value.

The RNA-Seq and microarray specific pathways are shown in italics. B APAP impacted canonical pathways. C MDA impacted canonical pathways. D CCl 4 impacted canonical pathways. The computed activation score and p -value for microarray and RNA-Seq are given in columns 2—3 and 4—6, respectively.

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