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.
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.
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.
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.
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.
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.
The RNA interference (RNAi) is used to inhibit gene expression or translation, by neutralizing targeted mRNA molecules. Two types of RNA molecules such as microRNA (miRNA) and small interfering RNA (siRNA) play a central role in RNAi. Few points have to considered to increase the transfection efficiency of siRNA. Always use healthy, actively dividing cells to maximize transfection efficiency. The confluency of cells should be between 50-70%. Always use the most appropriate siRNA concentration to avoid off-target effects and unwanted toxic side effects. Positive and negative controls should be used for each and every experiment to determine transfection efficiency.
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.
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.
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