Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

A CRISPR toolbox for generating intersectional genetic mice for functional, molecular, and anatomical circuit mapping

View ORCID ProfileSavannah J. Lusk, Andrew McKinney, Patrick J. Hunt, Paul G. Fahey, Jay Patel, Andersen Chang, Jenny J. Sun, Vena K. Martinez, Ping Jun Zhu, Jeremy R. Egbert, Genevera Allen, Xiaolong Jiang, Benjamin R. Arenkiel, Andreas S. Tolias, Mauro Costa-Mattioli, View ORCID ProfileRussell S. Ray
doi: https://doi.org/10.1101/2021.06.10.447908
Savannah J. Lusk
1Department of Neuroscience, Baylor College of Medicine, Houston TX
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Savannah J. Lusk
Andrew McKinney
1Department of Neuroscience, Baylor College of Medicine, Houston TX
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Patrick J. Hunt
2Department of Molecular and Human Genetics, Baylor College of Medicine, Houston TX
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Paul G. Fahey
1Department of Neuroscience, Baylor College of Medicine, Houston TX
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jay Patel
1Department of Neuroscience, Baylor College of Medicine, Houston TX
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Andersen Chang
3Department of Statistics, Rice University, Houston TX
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jenny J. Sun
1Department of Neuroscience, Baylor College of Medicine, Houston TX
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Vena K. Martinez
4Department of Pharmacology, Baylor College of Medicine, Houston TX
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ping Jun Zhu
1Department of Neuroscience, Baylor College of Medicine, Houston TX
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jeremy R. Egbert
5Department of Cell Biology, University of Connecticut, Farmington CT
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Genevera Allen
6Department of Statistics, Computer Science, and Electrical and Computer Engineering, Rice University, Houston TX
7Neurological Research Institute, Baylor College of Medicine, Houston TX
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Xiaolong Jiang
1Department of Neuroscience, Baylor College of Medicine, Houston TX
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Benjamin R. Arenkiel
2Department of Molecular and Human Genetics, Baylor College of Medicine, Houston TX
8McNair Medical Institute, Houston TX
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Andreas S. Tolias
1Department of Neuroscience, Baylor College of Medicine, Houston TX
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mauro Costa-Mattioli
1Department of Neuroscience, Baylor College of Medicine, Houston TX
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Russell S. Ray
1Department of Neuroscience, Baylor College of Medicine, Houston TX
8McNair Medical Institute, Houston TX
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Russell S. Ray
  • For correspondence: russell.ray@bcm.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

ABSTRACT

Background A full understanding of circuits and cellular mechanisms governing health and disease requires the dissection and multi-faceted study of discrete cell subtypes in developing and adult animal models. Recombinase-driven expression of transgenic response alleles represents a significant and powerful approach to delineate cell populations for functional, molecular, and anatomical study. In addition to single recombinase systems, the expression of two recombinases in distinct, but partially overlapping, populations allow for more defined target expression. Although the application of this method is becoming increasingly popular, the expense and difficulty associated with production of customized intersectional mouse lines have limited widespread application to more common allele manipulations that are often commercially produced at great expense.

Results We present a simplified CRISPR toolkit for rapid, inexpensive, and facile intersectional allele production. Briefly, we produced 7 intersectional mouse lines using a dual recombinase system, one mouse line with a single recombinase system, and three embryonic stem (ES) cell lines that are designed to study how functional, molecular, and anatomical features relate to each other in building circuits that underlie physiology and behavior. As a proof-of-principle, we applied three of these lines to different neuronal populations for anatomical mapping and functional in vivo investigation of respiratory control. We also generated a mouse line with a single recombinase-responsive allele that controls the expression of the calcium sensor Twitch-2B. This mouse line was applied globally to study the effects of follicle stimulating hormone (FSH) and luteinizing hormone (LH) on calcium release in the ovarian follicle.

Conclusions Lines presented here are representative examples of outcomes possible with the successful application of our genetic toolkit for the facile development of diverse, modifiable animal models. This toolkit will allow labs to create single or dual recombinase effector lines easily for any cell population or subpopulation of interest when paired with the appropriate Cre and FLP recombinase mouse lines or viral vectors. We have made our tools and derivative intersectional mouse and ES cell lines openly available for non-commercial use through publicly curated repositories for plasmid DNA, ES cells, and transgenic mouse lines.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted December 03, 2021.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
A CRISPR toolbox for generating intersectional genetic mice for functional, molecular, and anatomical circuit mapping
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
A CRISPR toolbox for generating intersectional genetic mice for functional, molecular, and anatomical circuit mapping
Savannah J. Lusk, Andrew McKinney, Patrick J. Hunt, Paul G. Fahey, Jay Patel, Andersen Chang, Jenny J. Sun, Vena K. Martinez, Ping Jun Zhu, Jeremy R. Egbert, Genevera Allen, Xiaolong Jiang, Benjamin R. Arenkiel, Andreas S. Tolias, Mauro Costa-Mattioli, Russell S. Ray
bioRxiv 2021.06.10.447908; doi: https://doi.org/10.1101/2021.06.10.447908
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
A CRISPR toolbox for generating intersectional genetic mice for functional, molecular, and anatomical circuit mapping
Savannah J. Lusk, Andrew McKinney, Patrick J. Hunt, Paul G. Fahey, Jay Patel, Andersen Chang, Jenny J. Sun, Vena K. Martinez, Ping Jun Zhu, Jeremy R. Egbert, Genevera Allen, Xiaolong Jiang, Benjamin R. Arenkiel, Andreas S. Tolias, Mauro Costa-Mattioli, Russell S. Ray
bioRxiv 2021.06.10.447908; doi: https://doi.org/10.1101/2021.06.10.447908

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Genetics
Subject Areas
All Articles
  • Animal Behavior and Cognition (4223)
  • Biochemistry (9099)
  • Bioengineering (6745)
  • Bioinformatics (23928)
  • Biophysics (12080)
  • Cancer Biology (9487)
  • Cell Biology (13725)
  • Clinical Trials (138)
  • Developmental Biology (7614)
  • Ecology (11653)
  • Epidemiology (2066)
  • Evolutionary Biology (15471)
  • Genetics (10613)
  • Genomics (14289)
  • Immunology (9453)
  • Microbiology (22773)
  • Molecular Biology (9063)
  • Neuroscience (48821)
  • Paleontology (354)
  • Pathology (1479)
  • Pharmacology and Toxicology (2560)
  • Physiology (3820)
  • Plant Biology (8307)
  • Scientific Communication and Education (1467)
  • Synthetic Biology (2287)
  • Systems Biology (6168)
  • Zoology (1297)