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 formation of DNA from an RNA template using reverse transcription leads to the formation of double-stranded complementary DNA or cDNA. The challenges with this process include 1. Maintaining the integrity of RNA, 2. Hairpin loops or other secondary structures formed by single-stranded RNA can also affect cDNA synthesis, and 3. DNA-RNA hybrids, which may result when the first strand of cDNA is formed. For the first challenge, using workflows that involve proper isolation and storage of RNA, and maintaining a nuclease-free environment helps obtain RNA with ideal 260/230 ratios. Using a reverse transcriptase that can tolerate high temperatures (50-55oC), overcomes obstacles imposed by secondary RNA structures. Finally, RNase H has the ability to hydrolyze RNA before the formation of a second cDNA strand. It is important to ensure that RNase H activity is optimal because higher RNase H activity leads to premature degradation of the RNA template. Many reverse transcriptases offer built-in RNase H activity.
The formation of DNA from an RNA template using reverse transcription leads to the formation of double-stranded complementary DNA or cDNA. The challenges with this process include 1. Maintaining the integrity of RNA, 2. Hairpin loops or other secondary structures formed by single-stranded RNA can also affect cDNA synthesis, and 3. DNA-RNA hybrids, which may result when the first strand of cDNA is formed. For the first challenge, using workflows that involve proper isolation and storage of RNA, and maintaining a nuclease-free environment helps obtain RNA with ideal 260/230 ratios. Using a reverse transcriptase that can tolerate high temperatures (50-55oC), overcomes obstacles imposed by secondary RNA structures. Finally, RNase H has the ability to hydrolyze RNA before the formation of a second cDNA strand. It is important to ensure that RNase H activity is optimal because higher RNase H activity leads to premature degradation of the RNA template. Many reverse transcriptases offer built-in RNase H activity.
The formation of DNA from an RNA template using reverse transcription leads to the formation of double-stranded complementary DNA or cDNA. The challenges with this process include 1. Maintaining the integrity of RNA, 2. Hairpin loops or other secondary structures formed by single-stranded RNA can also affect cDNA synthesis, and 3. DNA-RNA hybrids, which may result when the first strand of cDNA is formed. For the first challenge, using workflows that involve proper isolation and storage of RNA, and maintaining a nuclease-free environment helps obtain RNA with ideal 260/230 ratios. Using a reverse transcriptase that can tolerate high temperatures (50-55oC), overcomes obstacles imposed by secondary RNA structures. Finally, RNase H has the ability to hydrolyze RNA before the formation of a second cDNA strand. It is important to ensure that RNase H activity is optimal because higher RNase H activity leads to premature degradation of the RNA template. Many reverse transcriptases offer built-in RNase H activity.
Contamination can affect cell characteristics, i.e., growth, metabolism, and morphology leading to unreliable and erroneous experimental data. Depending on the source of contaminants, one can detect contamination by using a light microscope, gram stain, isothermal amplification, or PCR. Bacteria and fungi can usually be identified by optical microscopy. Mycoplasma in cell cultures cannot be detected visually. Hence, these microbes can go unnoticed for long periods and are determined using dedicated assays. Early and rapid identification of contaminants is vital to detect, handle and prevent contamination for good cell-culture practices. However, detection and identification can be challenging and tricky based on usual visual identifications. Hence it is essential to use a standard contamination detection kit to detect and maintain best practices.
Contamination can affect cell characteristics, i.e., growth, metabolism, and morphology leading to unreliable and erroneous experimental data. Depending on the source of contaminants, one can detect contamination by using a light microscope, gram stain, isothermal amplification, or PCR. Bacteria and fungi can usually be identified by optical microscopy. Mycoplasma in cell cultures cannot be detected visually. Hence, these microbes can go unnoticed for long periods and are determined using dedicated assays. Early and rapid identification of contaminants is vital to detect, handle and prevent contamination for good cell-culture practices. However, detection and identification can be challenging and tricky based on usual visual identifications. Hence it is essential to use a standard contamination detection kit to detect and maintain best practices.
Contamination can affect cell characteristics, i.e., growth, metabolism, and morphology leading to unreliable and erroneous experimental data. Depending on the source of contaminants, one can detect contamination by using a light microscope, gram stain, isothermal amplification, or PCR. Bacteria and fungi can usually be identified by optical microscopy. Mycoplasma in cell cultures cannot be detected visually. Hence, these microbes can go unnoticed for long periods and are determined using dedicated assays. Early and rapid identification of contaminants is vital to detect, handle and prevent contamination for good cell-culture practices. However, detection and identification can be challenging and tricky based on usual visual identifications. Hence it is essential to use a standard contamination detection kit to detect and maintain best practices.
Contamination can affect cell characteristics, i.e., growth, metabolism, and morphology leading to unreliable and erroneous experimental data. Depending on the source of contaminants, one can detect contamination by using a light microscope, gram stain, isothermal amplification, or PCR. Bacteria and fungi can usually be identified by optical microscopy. Mycoplasma in cell cultures cannot be detected visually. Hence, these microbes can go unnoticed for long periods and are determined using dedicated assays. Early and rapid identification of contaminants is vital to detect, handle and prevent contamination for good cell-culture practices. However, detection and identification can be challenging and tricky based on usual visual identifications. Hence it is essential to use a standard contamination detection kit to detect and maintain best practices.
Contamination can affect cell characteristics, i.e., growth, metabolism, and morphology leading to unreliable and erroneous experimental data. Depending on the source of contaminants, one can detect contamination by using a light microscope, gram stain, isothermal amplification, or PCR. Bacteria and fungi can usually be identified by optical microscopy. Mycoplasma in cell cultures cannot be detected visually. Hence, these microbes can go unnoticed for long periods and are determined using dedicated assays. Early and rapid identification of contaminants is vital to detect, handle and prevent contamination for good cell-culture practices. However, detection and identification can be challenging and tricky based on usual visual identifications. Hence it is essential to use a standard contamination detection kit to detect and maintain best practices.
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