Dna Rna Analysis
Dna Rna Analysis - Related Videos
16:42
Generation of RNA/DNA Hybrids in Genomic DNA by Transformation using RNA-containing Oligonucleotides
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Cited by 4 •
2010
This work shows how to form an RNA/DNA hybrid at the chromosomal level and reveal transfer of genetic information from RNA to genomic DNA in yeast cells.
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.
08:56
Combining Analysis of DNA in a Crude Virion Extraction with the Analysis of RNA from Infected Leaves to Discover New Virus Genomes
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2018
Here we present a new approach to identify plant viruses with double-strand DNA genomes. We use standard methods to extract DNA and RNA from infected leaves and carry out next-generation sequencing. Bioinformatic tools assemble sequences into contigs, identify contigs representing virus genomes and assign genomes to taxonomic groups.
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...
12:04
RNA Analysis of Environmental Samples Using RT-PCR
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2023
Source: Laboratories of Dr. Ian Pepper and Dr. Charles Gerba - The University of Arizona Demonstrating Author: Bradley Schmitz Reverse transcription-polymerase chain reaction (RT-PCR) involves the same process as conventional PCR — cycling temperature to amplify nucleic acids. However, while conventional PCR only amplifies deoxyribonucleic acids (DNA), RT-PCR enables the amplification of ribonucleic acids (RNA) through the formation of complementary DNA (cDNA). This enables RNA-based organisms...
FAQs
DNA measurements primarily support examination of genetic information, including mutations and genome comparisons. RNA measurements instead provide evidence about gene expression and molecular activity in cells or organisms. Because RNA may be converted through reverse transcription before amplification or measurement, the analytical workflow must match whether the investigation concerns relatively stable genetic sequence information or changing transcript levels.
Each stage addresses a different analytical need. Isolation separates nucleic acids from the original biological sample, conversion can make RNA suitable for subsequent analysis, and amplification increases the amount of a selected target when needed. Measurement methods then reveal sequence, size, presence, or abundance. Separating these functions helps investigators identify where degradation, contamination, or amplification bias may influence results.
Amplification bias occurs when target sequences are not represented proportionally during amplification, causing measured results to differ from the original sample. This matters especially when investigators compare genetic material or transcript levels across samples. Careful controls and interpretation are therefore necessary, because an apparent molecular difference may reflect the amplification process rather than a genuine biological change.
A typical workflow begins with careful sample handling and nucleic-acid isolation. Investigators then select any needed conversion or amplification step, followed by measurement using an appropriate technique such as electrophoresis, hybridization, or sequencing. Controls accompany the experiment to help evaluate contamination and other sources of error. The final interpretation connects the measured molecular pattern with the biological question.
These methods answer different analytical questions rather than producing interchangeable results. Polymerase chain reaction amplifies selected sequences, while reverse transcription converts RNA for downstream analysis. Electrophoresis separates nucleic-acid products, hybridization detects complementary target sequences, and sequencing characterizes sequence information. Selecting among them depends on whether the study requires amplification, transcript analysis, separation, target detection, or sequence characterization.
Careful handling and appropriate controls are central to reliable results. Poor handling can degrade nucleic acids, contamination can introduce material that was not present in the intended sample, and amplification can create biased representation of targets. These risks can alter measurements and their interpretation, so experimental conclusions should be considered alongside the quality of sample processing and control results.
The resulting data can identify mutations, compare genomes, quantify transcripts, and track pathogens. In biology, these measurements also support investigations of developmental processes and disease-related molecular changes. DNA-focused results can emphasize genetic differences, whereas RNA-focused results can indicate differences in gene expression. Together, the approaches connect molecular measurements with changes observed in cells or organisms.