Mammalian reverse genetics without crossing reveals Nr3a as a short-sleeper gene


Autoria(s): Sunagawa, Genshiro A.; Sumiyama, Kenta; Ukai-Tadenuma, Maki; Perrin, Dimitri; Fujishima, Hiroshi; Ukai, Hideki; Nishimura, Osamu; Shi, Shoi; Ohno, Rei-ichiro; Narumi, Ryohei; Shimizu, Yoshihiro; Tone, Daisuke; Ode, Koji L.; Kuraku, Shigehiro; Ueda, Hiroki R.
Data(s)

01/01/2016

Resumo

The identification of molecular networks at the system level in mammals is accelerated by next-generation mammalian genetics without crossing, which requires both the efficient production of whole-body biallelic knockout (KO) mice in a single generation and high-performance phenotype analyses. Here, we show that the triple targeting of a single gene using the CRISPR/Cas9 system achieves almost perfect KO efficiency (96%–100%). In addition, we developed a respiration-based fully automated noninvasive sleep phenotyping system, the Snappy Sleep Stager (SSS), for high-performance (95.3% accuracy) sleep/wake staging. Using the triple-target CRISPR and SSS in tandem, we reliably obtained sleep/wake phenotypes, even in double-KO mice. By using this system to comprehensively analyze all of the N-methyl-D-aspartate (NMDA) receptor family members, we found Nr3a as a short-sleeper gene, which is verified by an independent set of triple-target CRISPR. These results demonstrate the application of mammalian reverse genetics without crossing to organism-level systems biology in sleep research.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/91686/

Publicador

Elsevier Inc.

Relação

http://eprints.qut.edu.au/91686/1/PIIS221112471501493X.pdf

DOI:10.1016/j.celrep.2015.12.052

Sunagawa, Genshiro A., Sumiyama, Kenta, Ukai-Tadenuma, Maki, Perrin, Dimitri, Fujishima, Hiroshi, Ukai, Hideki, Nishimura, Osamu, Shi, Shoi, Ohno, Rei-ichiro, Narumi, Ryohei, Shimizu, Yoshihiro, Tone, Daisuke, Ode, Koji L., Kuraku, Shigehiro, & Ueda, Hiroki R. (2016) Mammalian reverse genetics without crossing reveals Nr3a as a short-sleeper gene. Cell Reports, 14, pp. 1-16.

Direitos

Copyright 2016 The Authors

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Tipo

Journal Article