Targeting cells with single vectors using multiple-feature Boolean logic

Fenno, L. E.; Mattis, J.; Ramakrishnan, C.; Hyun, M.; Lee, S. Y.; He, M.; Tucciarone, J.; Selimbeyoglu, A.; Berndt, A.; Grosenick, L.; Zalocusky, K. A.; Bernstein, H.; Swanson, H.; Perry, C.; Diester, Ilka; Boyce, F. M.; Bass, C. E.; Neve, R.; Huang, Z. J.; Deisseroth, K.

doi:10.1038/nmeth.2996

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Targeting cells with single vectors using multiple-feature Boolean logic

Fenno, L. E., Mattis, J., Ramakrishnan, C., Hyun, M., Lee, S. Y., He, M., et al. (2014). Targeting cells with single vectors using multiple-feature Boolean logic. Nature Methods, 11, 763-772. doi:10.1038/nmeth.2996.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-E29C-3 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-862F-9

Genre: Journal Article

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https://www.nature.com/articles/nmeth.2996 (Publisher version) Open Access status unknown

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Creators:
Fenno, L. E., Author
Mattis, J., Author
Ramakrishnan, C., Author
Hyun, M., Author
Lee, S. Y., Author
He, M., Author
Tucciarone, J., Author
Selimbeyoglu, A., Author
Berndt, A., Author
Grosenick, L., Author
Zalocusky, K. A., Author
Bernstein, H., Author
Swanson, H., Author
Perry, C., Author
Diester, Ilka¹, Author
Boyce, F. M., Author
Bass, C. E., Author
Neve, R., Author
Huang, Z. J., Author
Deisseroth, K., Author

Affiliations:
1Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Max Planck Society, ou_2074314

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Free keywords: Animals Bacterial Proteins/genetics Dependovirus/genetics Female Gene Targeting/*methods *Genetic Vectors HEK293 Cells Hippocampus/metabolism Humans Integrases/metabolism Interneurons/*physiology Introns Logic Luminescent Proteins/genetics Male Mice Mice, Transgenic Promoter Regions, Genetic Transgenes

Abstract: Precisely defining the roles of specific cell types is an intriguing frontier in the study of intact biological systems and has stimulated the rapid development of genetically encoded tools for observation and control. However, targeting these tools with adequate specificity remains challenging: most cell types are best defined by the intersection of two or more features such as active promoter elements, location and connectivity. Here we have combined engineered introns with specific recombinases to achieve expression of genetically encoded tools that is conditional upon multiple cell-type features, using Boolean logical operations all governed by a single versatile vector. We used this approach to target intersectionally specified populations of inhibitory interneurons in mammalian hippocampus and neurons of the ventral tegmental area defined by both genetic and wiring properties. This flexible and modular approach may expand the application of genetically encoded interventional and observational tools for intact-systems biology.

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Language(s): eng - English

Dates: Published Online: 2014-06-08

Publication Status: Published online

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Rev. Type: Peer

Identifiers: DOI: 10.1038/nmeth.2996

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Title: Nature Methods

Other : Nature Methods

Source Genre: Journal

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Publ. Info: New York, NY : Nature Publishing Group

Pages: - Volume / Issue: 11 Sequence Number: - Start / End Page: 763 - 772 Identifier: ISSN: 1548-7091
CoNE: https://pure.mpg.de/cone/journals/resource/111088195279556