Microarray Scanning
Microarray Scanning - Related Videos
09:27
DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning
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Cited by 10 •
2011
We demonstrate the use of DNA microarrays for expression profiling of the nervous system. We describe RNA quality control, sample labeling, and array hybridization and scanning.
08:29
Expression Profiling with Microarrays
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2023
Microarrays are important tools for profiling gene expression, and are based on complementary binding between probes that are attached to glass chips and nucleic acids derived from samples. Using these arrays, scientists can simultaneously evaluate the expression of thousands of genes. In addition, the expression profiles of different cells or tissue types can be compared, allowing researchers to deduce how the expression of different genes change during biological processes, and thus gain...
07:04
Performing Custom MicroRNA Microarray Experiments
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Cited by 8 •
2011
A simple procedure of performing custom microRNA microarray experiments is described. The steps include isolating RNA, labeling RNA and reference DNA, hybridizing the samples to microarrays, scanning the microarrays, quantifying and analyzing hybridization signals.
07:01
Processing the Loblolly Pine PtGen2 cDNA Microarray
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Cited by 6 •
2009
The cDNA microarray PtGen2 was developed for gene expression studies in loblolly pine, P. taeda, and other conifer species. Here, we show pre- and post-hybridization handling and washing techniques that can be used with this array to yield better consistency, reduced artifacts, and lower backgrounds.
03:31
A Technique to Detect Cyanobacterial Strains Using an Antibody Microarray Chip
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2025
This video demonstrates a method to detect the Cyanobacterial strains in an environmental sample using an antibody microarray chip. Samples carrying various bacteria interact with printed antibodies, and immunostaining with fluorophore-labeled anti-cyanobacterial-strain antibodies reveals the presence of specific cyanobacterial strains through fluorescence in distinct spots.
FAQs
Complementary DNA or RNA sequences bind to matching probes on the array through hybridization. Fluorescent labels attached to the bound targets then provide the detectable signal, while the amount of emitted light is recorded as signal intensity. Comparing intensities across probe locations allows researchers to assess differences in nucleic-acid abundance or identify sequence-related patterns.
The laser provides the excitation energy needed for fluorophores attached to hybridized targets to emit light. The scanner records that emitted fluorescence at defined positions on the solid surface, preserving the spatial relationship between signal and probe. Computational analysis can then convert these location-specific measurements into interpretable genome-wide or expression-related patterns.
The same scanning principle can answer different biological questions depending on the probe design and target material. Gene-expression profiling compares transcription-related signals, genotyping examines genetic variation, and comparative genomic hybridization evaluates genome-wide differences. Thus, the measured fluorescence is interpreted according to the experimental purpose rather than as a single universal type of result.
Meaningful results depend on successful hybridization between labeled targets and complementary probes, detectable fluorescence from the bound material, and computational interpretation of the recorded intensities. Probe arrangement also matters because each signal must be associated with its correct location. Together, these elements determine whether the scan can reveal transcriptional changes, genetic variation, or broader genomic patterns.
A typical workflow places fluorescently labeled DNA or RNA targets in contact with an array containing biological probes, allowing complementary sequences to hybridize. The array is then scanned with a laser to excite bound fluorophores, and emitted light is recorded as signal intensity. Finally, computational analysis organizes and interprets the measurements across the probe locations.
Biologists use the technique when they need parallel measurements across many nucleic-acid targets to compare genome-wide patterns. In developmental studies, it can reveal transcriptional changes; in disease research, it can identify expression or genetic differences; and in environmental-response studies, it can show altered biological patterns associated with changing conditions.