2007Nucleic Acids ResearchOpen access

Reversible gene knockdown in mice using a tight, inducible shRNA expression system

Jost Seibler, André Kleinridders, Küter-Luks Birgit, Niehaves Sandra, Jens C. Brüning, Frieder Schwenk

Open full text 113 citations

Abstract

RNA interference through expression of short hairpin (sh)RNAs provides an efficient approach for gene function analysis in mouse genetics. Techniques allowing to control time and degree of gene silencing in vivo, however, are still lacking. Here we provide a generally applicable system for the temporal control of ubiquitous shRNA expression in mice. Depending on the dose of the inductor doxycycline, the knockdown efficiency reaches up to 90%. To demonstrate the feasibility of our tool, a mouse model of reversible insulin resistance was generated by expression of an insulin receptor (Insr)-specific shRNA. Upon induction, mice develop severe hyperglycemia within seven days. The onset and progression of the disease correlates with the concentration of doxycycline, and the phenotype returns to baseline shortly after withdrawal of the inductor. On a broad basis, this approach will enable new insights into gene function and molecular disease mechanisms.

Open-access reader

About this research paper

What this paper is about

RNA interference through expression of short hairpin (sh)RNAs provides an efficient approach for gene function analysis in mouse genetics. Techniques allowing to control time and degree of gene silencing in vivo, however, are still lacking. Here we provide a generally applicable system for the temporal control of ubiquitous shRNA expression in mice. Depending on the dose of the inductor doxycycline, the knockdown efficiency reaches up to 90%. To demonstrate the feasibility of our tool, a mouse model of reversible insulin resistance was generated by expression of an insulin receptor (Insr)-specific shRNA. Upon induction, mice develop severe hyperglycemia within seven days. The onset and progression of the disease correlates with the concentration of doxycycline, and the phenotype returns to baseline shortly after withdrawal of the inductor. On a broad basis, this approach will enable new insights into gene function and molecular disease mechanisms.

Why it matters

OpenAlex reports 113 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

RNA interference through expression of short hairpin (sh)RNAs provides an efficient approach for gene function analysis in mouse genetics. Techniques allowing to control time and degree of gene silencing in vivo, however, are still lacking. Here we provide a generally applicable system for the temporal control of ubiquitous shRNA expression in mice. Depending on the dose of the inductor doxycycline, the knockdown efficiency reaches up to 90%. To demonstrate the feasibility of our tool, a mouse model of reversible insulin resistance was generated by expression of an insulin receptor (Insr)-specific shRNA. Upon induction, mice develop severe hyperglycemia within seven days. The onset and progression of the disease correlates with the concentration of doxycycline, and the phenotype returns to baseline shortly after withdrawal of the inductor. On a broad basis, this approach will enable new insights into gene function and molecular disease mechanisms.

Key concepts: Gene knockdown, Small hairpin RNA, Biology, RNA interference, Gene silencing, Doxycycline, Gene expression, Gene

Related papers

Back to paper searchBrowse research topicsOriginal source
Reversible gene knockdown in mice using a tight, inducible shRNA expression system — Research Paper | ScholarLens