Flowcytometry CD16 Mouse /IgG1, kappa Human

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 PE/Cyanine7 anti-human CD14 Antibody to perform Flow cytometry Anti-bodies Human - CD14

Get tips on using Human Endoglin/CD105 APC-conjugated Antibody to perform Flow cytometry Anti-bodies Human - CD105

Get tips on using Human Endoglin/CD105 PE-conjugated Antibody to perform Flow cytometry Anti-bodies Human - CD105

Get tips on using CD133/2 Antibody, anti-human, APC to perform Flow cytometry Anti-bodies Human - CD133

Get tips on using CD133/2 Antibody, anti-human, PE to perform Flow cytometry Anti-bodies Human - CD133

Get tips on using CD126 antibody | B-R6 to perform Flow cytometry Anti-bodies Human - CD126/IL-6Ralpha

The RNA-guided CRISPR-Cas9 nuclease system has revolutionized the genome editing practices. For the most part, the Cas9-mediated genome editing is performed either via nonhomologous end joining (NHEJ) or homology-directed repair (HDR) in mammalian cells, However, designing of specific sgRNAs and minimizing off-target cleavage mediated mutagenesis are the major challenges in CRISPR-Cas based genome editing. To circumvent these issues, we can take advantages of many available tools and approaches for sgRNA construction and delivery.

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.

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.