Dna Rna Purification
Dna Rna Purification - Related Videos
11:09
Chromatin Isolation by RNA Purification (ChIRP)
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Cited by 380 •
2012
ChIRP is a novel and rapid technique to map genomic binding sites of long noncoding RNAs (lncRNAs). The method takes advantage of the specificity of anti-sense tiling oligonucleotides to allow the enumeration of lncRNA-bound genomic sites.
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.
02:30
Isolation of Small Regulatory RNA–Bound Bacterial Target RNA Using Affinity Purification
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2025
Source: Mercier, N., et. al., MS2-Affinity Purification Coupled with RNA Sequencing in Gram-Positive Bacteria. J. Vis. Exp. (2021)This video demonstrates the isolation of MS2-tagged small regulatory RNA (sRNA) bound to its bacterial target RNA using affinity purification with a maltose-binding protein (MBP)–MS2 coat protein fusion immobilized on amylose resin.
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.
11:00
Genotyping of Plant and Animal Samples without Prior DNA Purification
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Cited by 14 •
2012
The Direct PCR approach presented here facilitates PCR amplification directly from small amounts of unpurified plant and animal tissue.
FAQs
Silica membranes and magnetic particles provide the capture surface in a purification workflow. When nucleic acids bind selectively, subsequent washing helps remove residual proteins, lipids, and other contaminants without discarding the captured material. Elution then releases the nucleic acids from that support for downstream analysis, linking the separation mechanism directly to usable DNA or RNA.
Contaminants can compromise the quality of the purified sample and reduce confidence in downstream results. Removing them produces nucleic acids that are more suitable for polymerase chain reaction, reverse transcription, sequencing, cloning, and gene-expression studies. Purity therefore is not merely a measure of cleanliness; it is one of the factors connecting sample preparation with reliable molecular biology experiments.
RNA requires RNase-free conditions because the overview specifically identifies these conditions as important for preserving RNA. If RNA is not preserved, its integrity can decline before downstream analysis, weakening applications such as reverse transcription and gene-expression studies. Careful handling is therefore part of maintaining the biological information needed for meaningful RNA-based results.
A typical workflow begins by disrupting the cells, tissues, or other biological sample to release nucleic acids. The preparation then undergoes contaminant removal, selective capture on a silica membrane or magnetic particles, washing, and elution. The resulting material is assessed for concentration, purity, and integrity before being applied to downstream molecular biology methods.
Purified DNA and RNA support several distinct research workflows. DNA can be used in polymerase chain reaction, sequencing, or cloning, while RNA can contribute to reverse transcription and gene-expression studies. Because these applications depend on usable nucleic acid quality, purification serves as a common preparation step across molecular biology, genetics, diagnostics, and biotechnology.
These three measures describe different aspects of sample suitability. Concentration indicates how much nucleic acid is available, purity reflects the effectiveness of contaminant removal, and integrity indicates whether the material remains preserved. Together, they help determine whether a preparation is appropriate for downstream analysis and explain why poor sample quality can influence experimental reliability.