Flow cytometry Anti-bodies Mouse

Though DNA quantification is but one small step in the multifaceted DNA sample preparation workflow, it can have large implications on the performance and validity of conclusions drawn from downstream assays. Major challenges include accuracy, precision, reproducibility, and detection of present contamination. Among UV spectrophotometry, fluorescence and real-time PCR based methods, the quantification method should be chosen based on the requirement of the downstream assay.

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.

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.

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.

Get tips on using Human/Mouse/Rat Activin A Quantikine ELISA Kit to perform ELISA Rat - Activin

Get tips on using ON-TARGET plus Mouse Becn1 (56208) siRNA - SMARTpool to perform siRNA / miRNA gene silencing Mouse - 4T1 BECN-1

ELISA is the most commonly used method of detecting and quantifying the concentration of an antigen in an unknown sample. During the experiment, If you get a weak signal, then make sure reagents are at room temperature before starting the assay. Try increasing incubation times to ensure maximal antibody binding and amplify the signal. Secondly, if you get values above 0 in the negative control indicates a high background signal. Try to consider reducing your antibody concentration and prevent non-specific binding of antibodies by using affinity-purified antibody and suitable blocking buffers. To avoid high well to well variation, do not stack plates during incubation, no bubbles in the plate and wash wells thoroughly to avoid variation.

Get tips on using EpiCult™-B Mouse Medium Kit to perform Stem cell culture media Murine mammospheres

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.

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.