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Related Concept Videos

Experimental RNAi02:15

Experimental RNAi

RNA interference (RNAi) is a cellular mechanism that inhibits gene expression by suppressing its transcription or activating the RNA degradation process. The mechanism was discovered by Andrew Fire and Craig Mello in 1998 in plants. Today, it is observed in almost all eukaryotes, including protozoa, flies, nematodes, insects, parasites, and mammals. This precise cellular mechanism of gene silencing has been developed into a technique that provides an efficient way to identify and determine the...
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siRNA - Small Interfering RNAs

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Related Experiment Video

Updated: Jun 10, 2026

An Oligonucleotide-based Tandem RNA Isolation Procedure to Recover Eukaryotic mRNA-Protein Complexes
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An Oligonucleotide-based Tandem RNA Isolation Procedure to Recover Eukaryotic mRNA-Protein Complexes

Published on: August 18, 2018

An experimental approach for systematic identification of antisense transcripts.

Oystein Røsok1, Mouldy Sioud

  • 1The Norwegian Radium Hospital, Institute for Cancer Research, Department of Immunology, Molecular Medicine Group, Montebello, N-0310 Oslo, Norway.

Discovery Medicine
|August 14, 2010
PubMed
Summary

Natural antisense transcripts are endogenous RNA molecules that can regulate gene expression. These complementary transcripts, found in many eukaryotes, suggest antisense transcription is a common regulatory mechanism.

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Published on: August 26, 2018

Area of Science:

  • Molecular Biology
  • Genetics
  • Bioinformatics

Background:

  • Natural antisense transcripts (NATs) are endogenous RNA molecules with sequences complementary to other transcripts.
  • NATs can arise from the same genomic locus (cis) or different loci (trans), including pseudogenes.
  • Both cis- and trans-NATs are genome-encoded and transcribed by DNA-directed RNA polymerases.

Purpose of the Study:

  • To explore the prevalence and potential significance of natural antisense transcripts in gene regulation.
  • To highlight the role of bioinformatics in identifying and predicting NATs.
  • To underscore the commonality of antisense transcription in eukaryotic gene regulation.

Main Methods:

  • Bioinformatic analysis of genomic and transcriptomic data.
  • Identification and prediction of cis-natural antisense transcripts.
  • Comparative analysis across eukaryotic species, with a focus on mammals.

Main Results:

  • Bioinformatics predicts approximately 2,500 mammalian cis-NATs.
  • Over 2,600 human antisense transcripts were identified, with over 1,600 predicted as genuine.
  • An estimated 8% of human genes are predicted to have an antisense partner.

Conclusions:

  • Antisense transcription represents a potentially widespread mechanism for gene regulation in eukaryotes.
  • The significant number of identified and predicted NATs supports their functional relevance.
  • Further research is warranted to elucidate the precise roles of NATs in cellular processes.