Dna Content Analysis
Dna Content Analysis - Related Videos
09:16
Air-sampled Filter Analysis for Endotoxins and DNA Content
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2016
Two complementary analyses of atmospheric biological particles from air sampled filters are described herein: the extraction and detection of endotoxin, and of DNA.
15:04
A Neuronal and Astrocyte Co-Culture Assay for High Content Analysis of Neurotoxicity
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Cited by 46 •
2009
This article describes a novel protocol and reagent set designed for sensitive measurement of neurotoxic effects of compounds and treatments on co-cultures of neurons and astrocytes using high content analysis. Results demonstrate that high content analysis represents an exciting novel technology for neurotoxicity assessment.
08:47
DNA Methylation Analysis
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2023
Methylation at CpG dinucleotides is a chemical modification of DNA hypothesized to play important roles in regulating gene expression. In particular, the methylation of clusters of methylation sites, called “CpG islands”, near promoters and other gene regulatory elements may contribute to the stable silencing of genes, for example, during epigenetic processes such as genomic imprinting and X-chromosome inactivation. At the same time, aberrant CpG methylation has been shown to be associated with...
08:06
Genome-wide Determination of Mammalian Replication Timing by DNA Content Measurement
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Cited by 6 •
2017
We describe here a relatively fast and simple approach for mapping genome-wide mammalian replication timing, from cell isolation to the basic analysis of the sequencing results. A genomic map of a representative replication program will be provided following the protocol.
07:44
Analysis of Fatty Acid Content and Composition in Microalgae
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Cited by 207 •
2013
A method for the determination of fatty acid content and composition in microalgae based on mechanical cell disruption, solvent based lipid extraction, transesterification, and quantification and identification of fatty acids using gas chromatography is described. A tripentadecanoin internal standard is used to compensate for the possible losses during extraction and incomplete transesterification.
FAQs
Fluorescent staining provides the measurement signal: a DNA-binding stain produces fluorescence that reflects the amount of DNA present in each analyzed cell. Differences in signal therefore correspond to differences in genome copy number or ploidy, rather than merely indicating that a cell contains DNA. This relationship allows measurements to be interpreted comparatively across cells or experimental samples.
Cells with different cell-cycle positions carry different amounts of DNA, so their fluorescence intensities can be related to G0/G1, S, or G2/M status. G0/G1 and G2/M represent distinguishable DNA-content states, whereas cells in S phase are undergoing DNA replication and occupy an intermediate condition. The measurement consequently connects DNA quantity with cell-cycle progression.
Changes in measured DNA quantity can provide evidence relevant to chromosome abnormalities and altered ploidy. A sample whose fluorescence pattern differs from expected cell populations may indicate a change in genome copy number or genomic stability. DNA Content Analysis therefore links cellular measurements with broader investigations of whether a biological system maintains stable DNA content.
Comparing treated and untreated samples can show whether an intervention changes DNA content or alters cell-cycle progression. Shifts in the relative representation of G0/G1, S, and G2/M states may indicate that cells respond differently after treatment. This makes the method useful for evaluating how experimental conditions influence proliferation-related biology and cellular state.
Flow cytometry and microscopy provide two ways to analyze cells after treatment with a DNA-binding fluorescent stain. In either format, fluorescence intensity supplies information about DNA quantity, while the resulting measurements can be related to genome copy number, ploidy, or cell-cycle status. The shared staining principle allows DNA content to be examined across experimental samples.
In biology, this approach contributes to studies of chromosome abnormalities, cell proliferation, development, and disease. It also supports investigations of genomic stability by revealing differences in DNA content among cells or samples. These applications allow researchers to relate quantitative cellular measurements to developmental changes, disease-associated alterations, or responses to experimental conditions.