Microarray analysis

From WikiMD's Food, Medicine & Wellness Encyclopedia

Microarray analysis is a technique used in molecular biology and genomics to measure the expression levels of large numbers of genes simultaneously or to genotype multiple regions of a genome. This technique uses a microarray, a collection of microscopic DNA spots attached to a solid surface, to measure the expression levels of large numbers of genes simultaneously or to genotype multiple regions of a genome.

History[edit | edit source]

The concept of microarray analysis was first introduced in the mid-1990s. The technique was developed as a way to measure the expression levels of thousands of genes at once, which was a significant advancement in the field of genomics.

Methodology[edit | edit source]

Microarray analysis involves several steps, including sample preparation, array hybridization, scanning, and data analysis. The process begins with the extraction of RNA from a sample, which is then converted into cDNA. The cDNA is labeled with a fluorescent dye and hybridized to the microarray. The microarray is then scanned, and the intensity of the fluorescence is measured to determine the expression level of each gene.

Applications[edit | edit source]

Microarray analysis has a wide range of applications in various fields of biology and medicine. It is used in gene expression profiling, comparative genomic hybridization, genotyping, and mutation analysis. In medicine, it is used in the diagnosis and prognosis of diseases, particularly cancer.

Limitations[edit | edit source]

Despite its many advantages, microarray analysis also has some limitations. These include the high cost of the technique, the need for specialized equipment and expertise, and the potential for false positive results.

Future Directions[edit | edit source]

With the advent of next-generation sequencing technologies, the use of microarray analysis is expected to decline. However, it is likely that the technique will continue to be used in certain applications, particularly in clinical diagnostics.

Microarray analysis Resources
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