Microarray Technology
Microarray Technology - Related Videos
05:21
A Peptide Microarray Technology for Specificity Profiling of Antibodies
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2025
This video demonstrates a technique that applies peptide microarray technology to profile the specificity of antibodies recognizing post-translational modifications (PTMs) on histone peptides. A microarray slide containing immobilized fluorophore-conjugated histone peptides with known PTM combinations is treated with target PTM-specific antibodies. This process helps identify the antibody's specificity for the target and its potential cross-reactivity with non-target PTMs.
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...
13:37
Polymer Microarrays for High Throughput Discovery of Biomaterials
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Cited by 33 •
2012
A description of the formation of a polymer microarray using an on-chip photopolymerization technique. The high throughput surface characterization using atomic force microscopy, water contact angle measurements, X-ray photoelectron spectroscopy and time of flight secondary ion mass spectrometry and a cell attachment assay is also described.
13:17
Microarray Analysis for Saccharomyces cerevisiae
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Cited by 3 •
2011
In this protocol, gene expression in yeast (Saccharomyces cerevisiae) is changed after exposure to oxidative stress induced by the addition of hydrogen peroxide (H2O2), an oxidizing agent.
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.
FAQs
Specificity comes from pairing between each immobilized probe and a complementary nucleic acid sequence in the labeled sample. Because different spots carry different probe sequences, binding is distributed across the array according to sequence matching. This arrangement allows many targets to be assessed in parallel while preserving information about which sequences are present or relatively abundant.
The fluorescence intensity of an individual spot reflects the relative amount of its matching target sequence in the sample. Stronger or weaker signals therefore support comparisons among genes, sequences, samples, or biological conditions, but the result is fundamentally comparative rather than a direct measurement of an absolute quantity. Interpretation depends on examining patterns across many spots.
Microarrays can provide standardized, large-scale comparisons across many predefined nucleic acid targets, making them useful when the analytical focus is known in advance. Sequencing methods can offer greater resolution, whereas arrays emphasize efficient comparative measurement across established probe sets. The choice therefore depends on whether broad standardized comparison or more detailed sequence-level information is the primary goal.
A basic workflow begins with an array containing many immobilized probes, followed by preparation of nucleic acid targets from the sample and fluorescent labeling. The labeled targets are then allowed to hybridize with complementary probes. After the binding pattern is measured through spot fluorescence, researchers compare signal intensities to evaluate sequence abundance or differences between samples.
Researchers can examine samples from different tissues or experimental conditions and compare the fluorescence patterns produced on the same array design. Differences in spot intensity indicate relative differences in the abundance of corresponding nucleic acid targets. This approach helps reveal coordinated changes in gene expression and supports investigation of how cells respond to differing biological environments.
Probe sets can be used to assess sequence differences among biological samples, allowing researchers to identify genetic variants represented by the array. Comparing signal patterns across samples can distinguish groups with different sequence features or variation profiles. This makes the technique useful for studying biological diversity and for relating molecular differences to sample classification.
Microarray experiments can support classification of biological samples, analysis of genetic variation, and investigation of cellular responses. In biology, these applications connect large-scale nucleic acid measurements with differences among tissues, conditions, or sample groups. The resulting patterns can help researchers recognize shared or contrasting molecular states without examining each target independently.