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Updated: Jan 27, 2026

Overexpressing Long Noncoding RNAs Using Gene-activating CRISPR
Published on: March 1, 2019
A Neuron-Optimized CRISPR/dCas9 Activation System for Robust and Specific Gene Regulation.
Katherine E Savell1, Svitlana V Bach1, Morgan E Zipperly1
1Department of Neurobiology and Evelyn F. McKnight Brain Institute, University of Alabama at Birmingham, Birmingham, AL, 35294.
We developed an efficient CRISPR-based transcriptional activation (CRISPRa) system for neurons. This tool enables precise gene regulation in the central nervous system (CNS), advancing studies in brain health and disease.
Area of Science:
- Neuroscience
- Molecular Biology
- Gene Editing
Background:
- CRISPR technology offers gene function interrogation but faces challenges in post-mitotic neuron transgene expression.
- Efficient gene regulation tools are needed for studying the central nervous system (CNS).
Purpose of the Study:
- To develop and validate a neuron-optimized CRISPR-based transcriptional activation (CRISPRa) system for robust gene induction in CNS research.
- To assess the efficiency, selectivity, and applicability of CRISPRa in primary neurons and *in vivo*.
Main Methods:
- Developed a dual lentiviral CRISPRa system optimized for neuron-specific gene expression.
- Applied CRISPRa to regulate the brain-derived neurotrophic factor (Bdnf) gene in primary rodent neuron cultures.
- Validated CRISPRa efficiency and target gene protein level increases *in vivo* in various brain structures.
Main Results:
- Demonstrated a highly efficient, modular, and tunable CRISPRa system for gene induction in primary neurons.
- Achieved transcript- and genome-level selectivity when targeting the Bdnf gene.
- Confirmed robust CRISPRa *in vivo* with increased target gene protein levels in diverse brain regions.
Conclusions:
- CRISPRa is an efficient and selective method for studying gene expression in the CNS.
- This system facilitates research into gene regulation in brain health and disease.
- The developed CRISPRa tool overcomes previous limitations in neuronal gene manipulation.
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