RNA isolation / purification

Get tips on using RediPlate™ 96 RiboGreen™ RNA Quantitation Kit to perform RNA quantification Fuorimetric - mouse adipose tissue

Get tips on using RediPlate™ 96 RiboGreen™ RNA Quantitation Kit to perform RNA quantification Fuorimetric - human brain tissue

Get tips on using Quant-iT™ RiboGreen™ RNA Assay Kit to perform RNA quantification Fuorimetric - human trophoblast cells

Get tips on using Quant-iT™ RiboGreen™ RNA Assay Kit to perform RNA quantification Fuorimetric - human metastatic melanoma cells

Get tips on using Quant-iT™ RiboGreen™ RNA Assay Kit to perform RNA quantification Fuorimetric - human peripheral blood mononuclear cells (PBMCs)

Get tips on using RediPlate™ 96 RiboGreen™ RNA Quantitation Kit to perform RNA quantification Fuorimetric - human colorectal adenocarcinoma cells (CL-187)

Get tips on using GenElute™ Mammalian Total RNA Miniprep Kit to perform

Get tips on using Enzo BioArray™ Single-Round RNA Amplification and Biotin Labeling System to perform RNA amplification & labeling Mammalian - RNA, rhesus monkey brain tissue Biotin

Microarrays enable researchers to monitor the expression of thousands of genes simultaneously. However, the sensitivity, accuracy, specificity, and reproducibility are major challenges for this technology. Cross-hybridization, combination with splice variants, is a prime source for the discrepancies in differential gene expression calls among various microarray platforms. Removing (either from production or downstream bioinformatic analysis) and/or redesigning the microarray probes prone to cross-hybridization is a reasonable strategy to increase the hybridization specificity and hence, the accuracy of the microarray measurements.

Microarrays enable researchers to monitor the expression of thousands of genes simultaneously. However, the sensitivity, accuracy, specificity, and reproducibility are major challenges for this technology. Cross-hybridization, combination with splice variants, is a prime source for the discrepancies in differential gene expression calls among various microarray platforms. Removing (either from production or downstream bioinformatic analysis) and/or redesigning the microarray probes prone to cross-hybridization is a reasonable strategy to increase the hybridization specificity and hence, the accuracy of the microarray measurements.