Gc Content Analysis
Gc Content Analysis - Related Videos
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.
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.
09:22
Gas Chromatography (GC) with Flame-Ionization Detection
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2023
Source: Laboratory of Dr. B. Jill Venton - University of Virginia Gas chromatography (GC) is used to separate and detect small molecular weight compounds in the gas phase. The sample is either a gas or a liquid that is vaporized in the injection port. Typically, the compounds analyzed are less than 1,000 Da, because it is difficult to vaporize larger compounds. GC is popular for environmental monitoring and industrial applications because it is very reliable and can be run nearly continuously.
11:07
Isolation of Mandibular Gland Reservoir Contents from Bornean 'Exploding Ants' (Formicidae) for Volatilome Analysis by GC-MS and MetaboliteDetector
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Cited by 3 •
2018
Minor workers of the ant species Colobopsis explodens are dissected to isolate the wax-like content stored in their hypertrophied mandibular gland reservoirs for subsequent solvent-extraction and analysis by gas chromatography-mass spectrometry. The annotation and identification of volatile constituents using the open-source software MetaboliteDetector is also described.
12:49
Mutagenesis and Analysis of Genetic Mutations in the GC-rich KISS1 Receptor Sequence Identified in Humans with Reproductive Disorders
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Cited by 3 •
2011
Mutations in the kisspeptin receptor (KISS1R) are associated with reproductive disorders in patients. Here we describe how to introduce mutations of interest in the GC-rich sequence of KISS1R as well as the use of KISS1R constructs to characterize the degradation pathway of the receptor by immunoprecipitation and western blot.
FAQs
GC-rich DNA regions generally require more heat to separate their two strands because guanine and cytosine contribute hydrogen-bonded base pairs. By monitoring the temperature associated with strand separation, researchers can obtain a laboratory estimate of sequence composition. This melting behavior provides an experimental perspective that complements calculation from a known DNA sequence.
The calculation begins by counting every guanine and cytosine nucleotide in the sequence, then dividing that combined count by the total number of bases. Multiplying the result by 100 gives the percentage. This value summarizes overall composition, but sequence context remains important when interpreting particular genomic regions or designing oligonucleotides.
A single percentage describes overall composition but does not show where guanine and cytosine occur within the sequence. Examining GC content alongside sequence context helps researchers assess individual genomic regions more meaningfully and supports genome annotation. It also prevents broad composition values from being treated as complete explanations of DNA organization.
When sequence information is available, researchers can calculate GC content directly by counting bases. Laboratory estimates instead use DNA melting behavior, observing how much heat is required to separate the strands. The two approaches address the same compositional question through different evidence, allowing composition to be assessed either computationally from sequence data or experimentally.
Researchers can compare the genomic composition of different organisms and examine variation among genomic regions. These comparisons may contribute to studies of evolutionary relationships and DNA organization. GC content analysis can also support genome annotation by highlighting compositional features that help researchers characterize and interpret sequence regions.
GC content provides a composition-based measure for evaluating oligonucleotides or primers during design. Because GC-rich sequences show distinctive strand-separation behavior, their composition is relevant when considering how designed sequences may behave. Researchers interpret this measure with the surrounding sequence context rather than relying on the percentage alone.