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.
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.
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.
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.
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.
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