Rna Quality Control
Rna Quality Control - 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.
01:05
Quality Control
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2024
Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results. Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
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.
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.
06:09
Studying the Protein Quality Control System of D. discoideum Using Temperature-controlled Live Cell Imaging
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2016
The social amoebae Dictyostelium discoideum has recently been established as a system to study protein misfolding and proteostasis. Here, we describe a new imaging-based methodology to study temperature-induced protein aggregation and the cellular stress response in D. discoideum.
FAQs
Nonsense-mediated decay identifies transcripts containing premature stop codons and directs them toward enzymatic degradation. This response prevents defective messenger RNAs from persisting long enough to support production of abnormal proteins. Its importance lies in linking recognition of an inappropriate translation-termination signal with removal of the corresponding transcript, thereby protecting the accuracy of gene expression.
These features provide different checkpoints for judging whether an RNA molecule is suitable for cellular use. Abnormal maturation, disrupted structure, incorrect localization, or problems during translation can each indicate that a transcript may generate an inaccurate or harmful product. Monitoring several properties gives the cell multiple opportunities to detect defects before they affect protein production.
Nonsense-mediated decay focuses on transcripts with premature stop codons, whereas related responses address transcripts that lack stop codons or become stalled during translation. The initiating defect therefore differs, but the outcome is similar: the problematic RNA is targeted for elimination. This distinction helps researchers connect particular translation failures with the surveillance pathway that handles them.
Failure of these safeguards can allow defective transcripts to remain available for gene expression and may increase the risk of abnormal protein production. Because the systems contribute to development, stress responses, and cellular homeostasis, their disruption can affect more than one cellular process. The overview also links impaired control with disease, making pathway failure biologically and medically significant.
During development and periods of stress, cells must preserve reliable gene expression while their physiological demands change. RNA surveillance supports that stability by removing transcripts that show processing or translation problems. Its contribution to homeostasis makes it relevant when studying how cells maintain functional gene expression across changing conditions, rather than treating RNA defects as isolated molecular events.
RNA quality control provides a framework for examining how transcript defects influence gene expression and cellular function. In genetics and molecular biology, the pathways help connect faulty RNA handling with downstream consequences such as abnormal protein production or disease. In therapeutic RNA design, understanding these surveillance mechanisms is relevant because RNA behavior, processing, and translation affect whether an engineered transcript performs as intended.