Rna Quality Analysis
Rna Quality Analysis - Related Videos
05:07
Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes
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2025
This protocol allows initial quality control for RNA-seq experiments for wet-lab biologists with limited bioinformatics experience.
18:17
Obtaining High Quality RNA from Single Cell Populations in Human Postmortem Brain Tissue
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Cited by 39 •
2009
We describe a process using laser-capture microdissection to isolate and extract RNA from a homogeneous cell population, pyramidal neurons, in layer III of the superior temporal gyrus in postmortem human brains. We subsequently linearly amplify (T7-based) mRNA, and hybridize the sample to the Affymetrix human X3P microarray.
08:17
Water Quality Analysis via Indicator Organisms
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2023
Source: Laboratories of Dr. Ian Pepper and Dr. Charles Gerba -The University of Arizona Demonstrating Author: Luisa Ikner Water quality analysis monitors anthropogenic influences such as pollutants, nutrients, pathogens, and any other constituent that can impact the water’s integrity as a resource. Fecal contamination contributes microbial pathogens that threaten plant, animal, and human health with disease or illness. Increasing water demands and strict quality standards require that water...
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...
07:42
Laser-capture Microdissection of Human Prostatic Epithelium for RNA Analysis
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Cited by 15 •
2015
The goal of this protocol is to use laser-capture micro-dissection as an effective method to isolate pure populations of cell types from heterogeneous prostate tissues for downstream RNA analysis.
FAQs
Absorbance measurements primarily help identify contaminants, whereas fluorometric or electrophoretic methods help quantify how much RNA is available. Treating these outputs as complementary prevents a sample with an apparently adequate amount of RNA from being accepted without considering purity. This distinction matters because downstream results can be distorted when contaminants accompany the RNA.
An integrity metric such as the RNA Integrity Number, or RIN, indicates whether RNA has undergone degradation. A poor integrity assessment can signal that the sample no longer represents the original RNA population consistently, which may affect gene-expression measurements and transcriptome profiling. Comparing integrity across tumor and normal samples helps separate biological differences from unequal RNA preservation.
RNA quality analysis helps distinguish a genuine cancer-associated molecular change from a technical artifact. Poor RNA preservation or extraction can alter the apparent gene-expression pattern, even when biological samples differ meaningfully. Checking purity, amount, and integrity before analysis provides context for interpreting unexpected expression differences and supports more defensible comparisons between experimental groups.
RNA concentration alone does not show whether the material is contaminated or degraded. Absorbance measurements provide information about contaminants, while fluorometric or electrophoretic approaches contribute to quantification, and integrity metrics identify degradation. Considering these dimensions together reduces the risk of advancing a sample simply because it contains enough RNA when its quality may still compromise downstream molecular measurements.
Begin by evaluating RNA before reverse-transcription quantitative PCR, transcriptome profiling, or next-generation sequencing. Use absorbance to examine contamination, then apply fluorometric or electrophoretic quantification and an integrity metric such as RIN. Reviewing the combined results allows investigators to identify unsuitable or inconsistent samples before committing them to downstream molecular experiments.
Comparing RNA quality between tumor and normal tissues is essential because unequal preservation or extraction quality can mimic or obscure cancer-associated expression changes. Applying the same quality checks to both groups strengthens interpretation of differences observed in reverse-transcription quantitative PCR, transcriptome profiling, or next-generation sequencing. The resulting comparisons are more likely to reflect biology rather than sample artifacts.