Dna Quality Assessment
Dna Quality Assessment - Related Videos
07:40
A Noninvasive Hair Sampling Technique to Obtain High Quality DNA from Elusive Small Mammals
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Cited by 28 •
2011
We present a noninvasive sampling approach to efficiently collect hair samples from elusive small mammals, as shown for the American pika. We demonstrate the utility of this method by extracting DNA from sampled hair and amplifying several types of molecular markers commonly used in studies of wildlife ecology and conservation.
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.
13:16
Assessment of DNA Contamination in RNA Samples Based on Ribosomal DNA
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Cited by 26 •
2018
Here, we present a protocol for tracing genomic DNA (gDNA) contamination in RNA samples. The presented method utilizes primers specific for the internal transcribed spacer region (ITS) of ribosomal DNA (rDNA) genes. The method is suited for reliable and sensitive detection of DNA contamination in most eukaryotes and prokaryotes.
05:00
Using a Chemical Biopsy for Graft Quality Assessment
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Cited by 11 •
2020
The protocol presents utilization of the chemical biopsy approach followed by comprehensive metabolomic and lipidomic analysis for quality assessment of kidney grafts allocated for transplantation.
09:52
Generation of High Quality Chromatin Immunoprecipitation DNA Template for High-throughput Sequencing (ChIP-seq)
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Cited by 15 •
2013
The combination of chromatin immunoprecipitation and ultra-high-throughput sequencing (ChIP-seq) can identify and map protein-DNA interactions in a given tissue or cell line. Outlined is how to generate a high quality ChIP template for subsequent sequencing, using experience with the transcription factor TCF7L2 as an example.
FAQs
Absorbance measurements help evaluate nucleic acid purity and concentration, whereas fluorescence-based quantification provides another way to estimate the amount of DNA present. Considering both types of measurement can reveal whether an extract contains sufficient target material and whether its apparent concentration may be affected by impurities. This comparison supports better decisions about downstream analysis.
DNA integrity indicates whether extracted molecules remain sufficiently intact for downstream analysis. Degradation can affect amplification and alter the biological profile recovered from soil, water, sediments, or organisms. Gel electrophoresis provides a way to examine this condition, helping researchers recognize when a weak or incomplete result may reflect damaged DNA rather than a genuine absence of organisms.
Amplification tests assess whether the extract can support the intended reaction, complementing measurements of concentration, purity, and integrity. A poor amplification result may indicate PCR inhibitors even when DNA is present. This distinction is important because inhibition can produce false negatives or biased profiles in metabarcoding, environmental DNA surveys, and microbial community studies.
Gel electrophoresis contributes information about the physical integrity of extracted DNA that concentration and purity measurements alone cannot provide. It can help identify degradation in material from environmental samples and place amplification results in context. This is particularly useful when interpreting whether an unsuccessful downstream analysis reflects compromised extract quality or a biological pattern.
A practical workflow combines several checks rather than relying on one measurement. Researchers evaluate concentration and purity with absorbance or fluorescence-based methods, examine integrity with gel electrophoresis, and use amplification tests to assess suitability and possible inhibition. Applying these checks before metabarcoding or community analysis helps identify compromised extracts early and improves consistency across samples.
It is especially valuable for extracts from soil, water, sediments, and organisms, where sample quality can influence molecular results. In environmental DNA surveys, metabarcoding, and microbial community studies, the assessment helps separate problems caused by sampling or extraction from genuine biological differences. That distinction strengthens interpretation of biodiversity, pollution, and ecosystem-monitoring data.
Consistent quality-control measurements reduce the risk that degradation, contamination, low DNA concentration, or PCR inhibitors will be mistaken for ecological signals. By identifying these issues before interpretation, researchers can reduce false negatives and biased profiles. The resulting data provide a more reliable basis for assessing biodiversity, pollution, and changes in ecosystem conditions.