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Get tips on using Trichloroacetic acid to perform Protein isolation Mammalian cells - Human gingival epithelial cells

Get tips on using Total RNA Purification Plus Kit to perform RNA isolation / purification Bacteria - Gram negative Vibro cholerae

Get tips on using Alexa Fluor® 700 Mouse Anti-Mouse NK1.1 to perform Flow cytometry Anti-bodies Mouse - NK1.1

Get tips on using XcelGen Fungal RNA Isolation Mini Kit to perform RNA isolation / purification Fungal

Get tips on using PolyFect Transfection Reagent to perform DNA transfection Mammalian cells - Immortalized cell lines Chang Liver cells

Get tips on using Viability/Cytotoxicity Assay kit for Bacteria Live and Dead Cells to perform Live / Dead assay bacteria - Salmonella enterica

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.

Wound healing assay can be challenging due to inconsistencies and variations while making a wound on the confluent cell monolayer, consequently leads to wounds of varying sizes and widths. Moreover, this assay causes damage to the cells that are at the edge of the wound, which can prevent cell migration into the wound site and healing. The best solution is to use the standard wound healing assay kits using either combs or inserts to make a defined wound field or gap and prevent the well-to-well variation in these assays.

Get tips on using Magnetic mRNA Isolation Kit to perform RNA isolation / purification Tissue - Rat Pineal gland

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.