Dna Array
Dna Array - Related Videos
10:40
Assembly of Nucleosomal Arrays from Recombinant Core Histones and Nucleosome Positioning DNA
0 Views •
Cited by 34 •
2013
A method is presented for the reconstitution of model nucleosomal arrays from recombinant core histones and tandemly repeated nucleosome positioning DNA. We also describe how sedimentation velocity experiments in the analytical ultracentrifuge, and atomic force microscopy (AFM) are used to monitor the extent of nucleosomal array saturation after reconstitution.
09:27
DNA Microarrays: Sample Quality Control, Array Hybridization and Scanning
0 Views •
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.
09:16
Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants
0 Views •
Cited by 7 •
2015
Array CGH for the detection of genomic copy number variants has replaced G-banded karyotype analysis. This paper describes the technology and its application in a diagnostic service laboratory.
03:40
UV Irradiation: A Method to Integrate Extrachromosomal Arrays
0 Views •
2023
Microinjection of transgenes usually results in C. elegans strains with large extrachromosomal arrays, which result in variable expression and transmission of the transgene. UV Irradiation can induce chromosomal integration of the array and more stable transgene transmission.
19:40
Design and Use of Multiplexed Chemostat Arrays
0 Views •
Cited by 108 •
2013
We developed and validated a small-footprint array of miniature chemostats built from readily available parts for low cost. Physiological and experimental evolution results were similar to larger volume chemostats. The ministat array provides a compact, inexpensive, and accessible platform for traditional chemostat experiments, functional genomics, and chemical screening applications.
FAQs
Sequence complementarity determines whether a labeled DNA or RNA molecule can bind to an immobilized probe through nucleic acid hybridization. A close sequence match supports binding at the corresponding array position, while unrelated sequences do not produce the same target-specific pattern. This selective interaction allows researchers to distinguish genetic targets within a complex sample.
Signal location identifies which probe-associated genetic target has bound sample material, whereas fluorescence intensity indicates the relative amount detected for that target. Interpreting both features separates sequence presence from relative abundance. This distinction supports applications such as identifying mutations or comparing gene-expression patterns across biological samples.
An array places numerous different sequence-specific probes at defined positions on one surface. A single labeled sample can therefore interact with many targets during the same assay, producing a spatial pattern of signals rather than requiring one separate measurement for each sequence. This parallel format supports broad profiling of genes, variants, or biomarkers.
The sample type helps determine the biological information being measured. Labeled DNA can support analysis of sequence-related features such as genotyping or mutation detection, while labeled RNA can reveal differences in gene-expression patterns. Consequently, the same array-based strategy can investigate either genetic variation or cellular response, depending on the nucleic acid analyzed.
A typical workflow uses a surface carrying sequence-specific probes, introduces fluorescently labeled sample DNA or RNA, allows complementary molecules to hybridize, and detects fluorescence across the array. Researchers then interpret the position and intensity of signals to determine sequence presence or compare relative abundance. These results connect molecular binding patterns with the biological question under study.
Bioengineers can use DNA arrays to profile gene expression in engineered cells and evaluate how those cells respond biologically. Comparing signal patterns helps reveal changes in many genetic targets at once, rather than focusing on a single measurement. The resulting information can guide characterization of engineered systems and inform the design of biological applications.
DNA arrays support mutation detection, genotyping, and biomarker analysis, making them useful for identifying sequence-associated patterns and comparing molecular profiles. In bioengineering, these measurements can help characterize disease-relevant or engineered biological systems. The resulting target information may guide development of diagnostic approaches, therapeutic strategies, and other designed biological systems.