siRNA / miRNA gene silencing Human Detroit 562 / D562

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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 Microarray Comperative genomic hybridization Human MDA-MB-361

Get tips on using GeneChip® Human Genome U133 Plus 2.0 Array to perform Microarray Human - Endometrial stromal cells Expression array

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Get tips on using GeneChip® Human Genome U133 Plus 2.0 Array to perform Microarray Human - Precision cut lung slices Expression array

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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.

DNA DNA methylation profiling Gene specific profiling Rat whole pituitary glands PROP1

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.

DNA DNA methylation profiling Gene specific profiling Mouse muscle stem cells SPRY1

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.

DNA DNA methylation profiling Gene specific profiling MCF-7 Estrogen receptor alpha

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.

DNA DNA methylation profiling Gene specific profiling HepG2 Constitutive Androstane Receptor (CAR)

Site-directed mutagenesis (SDM) can be challenging, particularly during detection/confirmation of (SDM) in colonies by sequencing or PCR techniques. This common issue in SDM is heavily relying on designing of mutagenic primer pairs. The best solution is to design the mutagenic primers that have extended 3'-ends/3'-overhang. This would provide the annealing region between the mutagenic primer pair is essentially shorter. and hence ensure a lower annealing temperature for the primer pair along with a higher chance of annealing to the template.

DNA Site Directed Mutagenesis (SDM) Mouse Point mutation L929 SigmaR1 gene (σ1)

Get tips on using GeneChip® Human Genome U133 Plus 2.0 Array to perform RNA amplification & labeling Mammalian - RNA amplification and Labeling Human Endometrial Stromal cells Biotin

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Get tips on using GeneChip® Human Genome U133 Plus 2.0 Array to perform RNA amplification & labeling Mammalian - RNA, rhesus monkey brain tissue Human endothelail stromal cells

Products Thermo Fisher Scientific GeneChip® Human Genome U133 Plus 2.0 Array

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