siRNA / miRNA gene silencing Rat RBL-2H3

Get tips on using GeneRead Size Selection Kit (50) to perform Whole Genome Amplification NGS library purification

RNA-Seq is a method to sequence RNA by applying Next Generation Sequencing (NGS). The quality of RNA is critical for the success of RNA-Seq. The integrity of RNA is measured by the RNA integrity number (RIN). RIN is computed from RNA electrophoresis and electropherogram profiles (the peak area of the 28S rRNA should be approximately twice the peak area of the 18S rRNA). If you get the RIN value lower than 7, the possibility of getting the low quality of RNA-seq data is high. To get a high quality RNA, it is better to work with fresh samples or snap-freeze the tissues in liquid nitrogen as quickly as possible and store them at -80°C until further use. Make sure designated areas and all your filter tips, microfuge tubes, plastic, and glassware are RNase-free.

Get tips on using LC3B Rabbit Antibody to perform Autophagy assay cell type - HEK 293

Get tips on using GABARAP (E1J4E) Rabbit mAb to perform Autophagy assay cell type - HEK 293

Get tips on using Atg16L1 (D6D5) Rabbit mAb to perform Autophagy assay cell type - HEK 293

When extracting nucleic acids from cell cultures, thorough homogenization of cells via vortexing in lysis buffer is very necessary. Choose the best RNA isolation method keeping in mind the downstream applications, generally, column-based isolations result in clean and concentrated RNA samples. Downstream applications like sequencing and cDNA synthesis require high-quality RNA, always treat the samples with DNases and check their integrity by running a gel.

Get tips on using LC3A/B (D3U4C) XP® Rabbit mAb #12741 to perform Autophagy assay cell type - HEK 293

Get tips on using Phospho-eIF2α (Ser51) (D9G8) XP® Rabbit mAb #3398 to perform Autophagy assay cell type - HEK 293

Get tips on using Rapid Sequencing Kit to perform Whole Genome Amplification Human

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.