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Related Concept Videos

RNA Stability01:53

RNA Stability

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Intact DNA strands can be found in fossils, while scientists sometimes struggle to keep RNA intact under laboratory conditions. The structural variations between RNA and DNA underlie the differences in their stability and longevity. Because DNA is double-stranded, it is inherently more stable. The single-stranded structure of RNA is less stable but also more flexible and can form weak internal bonds. Additionally, most RNAs in the cell are relatively short, while DNA can be up to 250 million...
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mRNA Stability and Gene Expression02:51

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RNA Splicing01:32

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Splicing is the process by which eukaryotic RNA is edited before its translation into protein. The RNA strand transcribed from eukaryotic DNA is called the primary transcript. The primary transcripts that become mRNAs are called precursor messenger RNAs (pre-mRNAs). Eukaryotic pre-mRNA contains alternating sequences of exons and introns. Exons are nucleotide sequences that code for proteins, whereas introns are the non-coding regions. In RNA splicing, introns are removed and exons are bonded...
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Nuclear Export of mRNA02:31

Nuclear Export of mRNA

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Before mRNAs are exported to the cytoplasm, it is crucial to check each mRNA for structural and functional integrity. Eukaryotic cells use several different mechanisms, collectively known as mRNA surveillance, to look for irregularities in mRNAs. Irregular or aberrant mRNA are rapidly degraded by various enzymes. If a defective mRNA escapes the surveillance, it would be translated into a protein which would either be non-functional or not function properly. One of the primary irregularities in...
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Translation01:31

Translation

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Translation is the process of synthesizing proteins from the genetic information carried by messenger RNA (mRNA). Following transcription, it constitutes the final step in the expression of genes. This process is carried out by ribosomes, complexes of protein and specialized RNA molecules. Ribosomes, transfer RNA (tRNA), and other proteins produce a chain of amino acids—the polypeptide—as the end product of translation.
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Nonsense-mediated mRNA Decay02:27

Nonsense-mediated mRNA Decay

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The Upf proteins that carry out nonsense-mediated decay (NMD) are found in all eukaryotic organisms, including humans. Each protein has an individual role, but they need to work in collaboration. Upf1 is an ATP-dependent RNA helicase that unwinds the RNA helix. Because Upf1 can unwind any RNA, Upf2 and Upf3 are required to help Upf1 discriminate between nonsense and normal mRNAs.
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Related Experiment Video

Updated: Sep 30, 2025

Efficient Transcriptionally Controlled Plasmid Expression System for Investigation of the Stability of mRNA Transcripts in Primary Alveolar Epithelial Cells
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Genetic variants associated mRNA stability in lung.

Jian-Rong Li1,2, Mabel Tang3, Yafang Li1,2,4

  • 1Department of Medicine, Baylor College of Medicine, Houston, TX, USA.

BMC Genomics
|March 11, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces stability quantitative trait loci (stQTLs) to differentiate genetic regulation of mRNA stability from gene expression. Identifying stQTLs and expression quantitative trait loci (eQTLs) provides deeper insights into genetic traits.

Keywords:
Expression quantitative trait loci (eQTLs)RNA-SeqStability QTLs (stQTLs)mRNA stability

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Expression quantitative trait loci (eQTLs) analyses link genetic variants to gene expression, aiding in understanding genetic trait mechanisms.
  • eQTLs can influence gene expression via transcriptional or post-transcriptional regulation.
  • Distinguishing these regulatory mechanisms is crucial for a comprehensive understanding.

Purpose of the Study:

  • To identify genetic variants associated with mRNA stability (stability quantitative trait loci, stQTLs).
  • To differentiate between transcriptional and post-transcriptional regulation of gene expression.
  • To provide a more mechanistic understanding of the association between genetic variants and gene expression levels.

Main Methods:

  • Developed a computational framework to infer mRNA stability from RNA-seq data.
  • Performed association analysis to identify stQTLs.
  • Utilized Genotype-Tissue Expression (GTEx) lung RNA-Seq data for analysis.

Main Results:

  • Identified 142,801 stQTLs for 3942 genes and 186,132 eQTLs for 4751 genes.
  • stQTLs were enriched in coding sequences (CDS) and 3' untranslated regions (3'UTR).
  • stQTLs showed greater overlap with RNA binding protein (RBP) and microRNA (miRNA) binding sites compared to eQTLs.

Conclusions:

  • Simultaneous identification of stQTLs and eQTLs enhances mechanistic insights into genetic variant associations with gene expression.
  • stQTL analysis offers a novel approach to dissect post-transcriptional regulatory mechanisms.
  • This framework contributes to a more nuanced understanding of gene regulation and genetic traits.