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.
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.
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.
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 be 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.
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.
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