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Cited by 283

The DOI matches its Crossref record; 121 of the 121 references it cites were found in a registry or an index.

Applications of CRISPR–Cas systems in neuroscience

Open access
Heidenreich, Matthias, Zhang, Feng·2016·Nature Reviews Neuroscience

Abstract

Genome-editing tools, and in particular those based on CRISPR–Cas (clustered regularly interspaced short palindromic repeat (CRISPR)–CRISPR-associated protein) systems, are accelerating the pace of biological research and enabling targeted genetic interrogation in almost any organism and cell type. These tools have opened the door to the development of new model systems for studying the complexity of the nervous system, including animal models and stem cell-derived in vitro models. Precise and efficient gene editing using CRISPR–Cas systems has the potential to advance both basic and translational neuroscience research.

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Metadata

Authors
Heidenreich, M., & Zhang, F.
Venue
Nature Reviews Neuroscience
Published
2015-12-10
Volume
17
Issue
1
Pages
36-44
ISSN
  • 1471-003X (ISSN-L)
  • 1471-0048
OpenAlex
W2195975231
Cited by
283
References
121
FWCI
2.53
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Applications of CRISPR–Cas systems in neuroscience. https://app.cochat.ai/papers/10.1038/nrn.2015.2
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Heidenreich, M., & Zhang, F. (2016). Applications of CRISPR–Cas systems in neuroscience. Nature Reviews Neuroscience. https://doi.org/10.1038/nrn.2015.2

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.