siRNA / miRNA gene silencing Human Detroit 562 / D562

Get tips on using CD33 Monoclonal Antibody (WM-53 (WM53)), PE, eBioscience™ to perform Flow cytometry Anti-bodies Human - CD33

Get tips on using CD206 (MMR) Monoclonal Antibody (19.2), PE-Cyanine7, eBioscience™ to perform Flow cytometry Anti-bodies Human - CD206

Get tips on using CD163 Monoclonal Antibody (eBioGHI/61 (GHI/61)), eBioscience™ to perform Flow cytometry Anti-bodies Human - CD163

Get tips on using FOXP3 Monoclonal Antibody (PCH101), Alexa Fluor 700, eBioscience™ to perform Flow cytometry Anti-bodies Human - FOXP3

Get tips on using CD4 Monoclonal Antibody (OKT4 (OKT-4)), FITC, eBioscience™ to perform Flow cytometry Anti-bodies Human - CD4

Get tips on using CD133 (Prominin-1) Monoclonal Antibody (13A4), APC, eBioscience™ to perform Flow cytometry Anti-bodies Human - CD133

Get tips on using Aurum™ Total RNA Fatty and Fibrous Tissue Kit to perform RNA isolation / purification Tissue - Human Uterus

Get tips on using Aurum™ Total RNA Fatty and Fibrous Tissue Kit to perform RNA isolation / purification Tissue - Human Adipose

Get tips on using NEBNext® Multiplex Small RNA Library Prep Set for Illumina® to perform RNA sequencing Human - HEK293T

DNA 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.