Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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...
siRNA - Small Interfering RNAs02:30

siRNA - Small Interfering RNAs

Small interfering RNAs, or siRNAs, are short regulatory RNA molecules that can silence genes post-transcriptionally, as well as the transcriptional level in some cases. siRNAs are important for protecting cells against viral infections and silencing transposable genetic elements.
In the cytoplasm, siRNA is processed from a double-stranded RNA, which comes from either endogenous DNA transcription or exogenous sources like a virus. This double-stranded RNA is then cleaved by the ATP-dependent...
RNA Interference01:23

RNA Interference

RNA interference (RNAi) is a process in which a small non-coding RNA molecule blocks the post-transcriptional expression of a gene by binding to its messenger RNA (mRNA) and preventing the protein from being translated.
This process occurs naturally in cells, often through the activity of genomically-encoded microRNAs. Researchers can take advantage of this mechanism by introducing synthetic RNAs to deactivate specific genes for research or therapeutic purposes. For example, RNAi could be used...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Efficacy of ultrasound guidance for arteriovenous access cannulation in haemodialysis patients: a systematic review with quantitative synthesis.

BMC nephrology·2026
Same author

Coordinated immune activation following KRAS inhibition in syngeneic models reveals molecular pathways that potentiate and limit antitumor immunity.

Cancer immunology research·2026
Same author

Covalent pan-TEAD inhibitors block YAP activity and demonstrate brain penetrance in a Hippo-dependent cancer model.

Nature communications·2026
Same author

Temporal transcriptomic profiling identifies core regulators in cytokine-induced gut barrier disruption in differentiated Caco-2 cells.

Inflammation research : official journal of the European Histamine Research Society ... [et al.]·2026
Same author

Nonimaging optical design breaking the conventional symmetry of headlamp optics by side lighting with white LEDs.

Scientific reports·2026
Same author

Combined Ultrasound-guided Perineural Vitamin B12 Injection and Pulsed Radiofrequency of C2 Dorsal Root Ganglion for Treatment of C2 Postherpetic Neuralgia: A Case Report.

Journal of medical ultrasound·2026

Related Experiment Video

Updated: May 15, 2026

CIRCLE-Seq for Interrogation of Off-Target Gene Editing
08:23

CIRCLE-Seq for Interrogation of Off-Target Gene Editing

Published on: November 1, 2024

C911: A bench-level control for sequence specific siRNA off-target effects.

Eugen Buehler1, Yu-Chi Chen, Scott Martin

  • 1National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland, USA. eugen.buehler@nih.gov

Plos One
|December 20, 2012
PubMed
Summary
This summary is machine-generated.

New mismatch designs for small interfering RNAs (siRNAs) effectively control for off-target effects. The C911 mismatch distinguishes true positives from false positives in gene silencing experiments.

More Related Videos

MISSION esiRNA for RNAi Screening in Mammalian Cells
15:31

MISSION esiRNA for RNAi Screening in Mammalian Cells

Published on: May 12, 2010

siRNA Screening to Identify Ubiquitin and Ubiquitin-like System Regulators of Biological Pathways in Cultured Mammalian Cells
10:43

siRNA Screening to Identify Ubiquitin and Ubiquitin-like System Regulators of Biological Pathways in Cultured Mammalian Cells

Published on: May 24, 2014

Related Experiment Videos

Last Updated: May 15, 2026

CIRCLE-Seq for Interrogation of Off-Target Gene Editing
08:23

CIRCLE-Seq for Interrogation of Off-Target Gene Editing

Published on: November 1, 2024

MISSION esiRNA for RNAi Screening in Mammalian Cells
15:31

MISSION esiRNA for RNAi Screening in Mammalian Cells

Published on: May 12, 2010

siRNA Screening to Identify Ubiquitin and Ubiquitin-like System Regulators of Biological Pathways in Cultured Mammalian Cells
10:43

siRNA Screening to Identify Ubiquitin and Ubiquitin-like System Regulators of Biological Pathways in Cultured Mammalian Cells

Published on: May 24, 2014

Area of Science:

  • Molecular Biology
  • Genetics
  • Biotechnology

Background:

  • Small interfering RNAs (siRNAs) are widely used for gene silencing.
  • Off-target effects in siRNA experiments lead to false positives, complicating results.
  • A reliable negative control for siRNA off-target effects has been lacking.

Purpose of the Study:

  • To develop and validate novel mismatched siRNA designs as effective negative controls.
  • To differentiate true siRNA on-target effects from off-target effects.
  • To improve the reliability of siRNA-based experimental findings.

Main Methods:

  • Designed two types of mismatched siRNAs based on complementary base changes.
  • Synthesized scrambled siRNA controls for comparison.
  • Tested siRNAs and controls in a luciferase reporter assay using pre-identified true and false positive siRNAs.

Main Results:

  • Scrambled siRNAs showed reduced activity, lacking utility as controls.
  • The C911 mismatch design effectively distinguished true from false positives.
  • False positives retained activity with C911 controls, while true positives lost activity.

Conclusions:

  • The C911 mismatched siRNA design serves as a robust negative control.
  • This method can significantly reduce erroneous results in siRNA research.
  • Widespread adoption can improve experimental accuracy and save research resources.