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.
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 3D-Gene® Mouse miRNA Oligo chip (ver.21) to perform Microarray Gene expression arrays - Mouse liver tissue Cyanine-3-CTP
A gross majority of classical apoptotic attributes can be quantitatively examined by flow cytometry, the preferred platform for rapid assessment of multiple cellular attributes at a single-cell level. However, sample preparation for such flow cytometry-based techniques could be challenging. Cell harvesting by trypsinization, mechanical or enzymatic cell disaggregation from tissues, extensive centrifugation steps, may all lead to preferential loss of apoptotic cells. To overcome this strictly follow manufacturers instruction of the detection kit.
The estimation of DNA methylation level heavily depends on the complete conversion of non-methylated DNA cytosines. It is crucial to ensure complete conversion of non-methylated cytosines in DNA. Therefore, it is important to incorporate controls for bisulfite reactions, as well as to pay attention to the appearance of cytosines in non-CpG sites after sequencing, which is an indicator of incomplete conversion.
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.
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.
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