Validating microarray data


10-Apr-2020 17:47

Microarrays use relative quantitation in which the intensity of a feature is compared to the intensity of the same feature under a different condition, and the identity of the feature is known by its position.DNA microarrays can be used to detect DNA (as in comparative genomic hybridization), or detect RNA (most commonly as c DNA after reverse transcription) that may or may not be translated into proteins.For example, microarray-based gene expression profiling can be used to identify genes whose expression is changed in response to pathogens or other organisms by comparing gene expression in infected to that in uninfected cells or tissues.DNA sequences bound to a particular protein can be isolated by immunoprecipitating that protein (Ch IP), these fragments can be then hybridized to a microarray (such as a tiling array) allowing the determination of protein binding site occupancy throughout the genome.Left-handed double-stranded Z-DNA microarrays can be used to identify short sequences of the alternative Z-DNA structure located within longer stretches of right-handed B-DNA genes (e.g., transcriptional enhancement, recombination, RNA editing).Multi-stranded DNA and RNA microarrays can be used to identify novel drugs that bind to these multi-stranded nucleic acid sequences.

validating microarray data-74

define accomadating

Several applications of microarrays make use of SNP detection, including genotyping, forensic analysis, measuring predisposition to disease, identifying drug-candidates, evaluating germline mutations in individuals or somatic mutations in cancers, assessing loss of heterozygosity, or genetic linkage analysis. Within the organisms, genes are transcribed and spliced to produce mature m RNA transcripts (red).