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Updated: Jun 26, 2026

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
Published on: June 24, 2021
Split-cre complementation indicates coincident activity of different genes in vivo
Johannes Hirrlinger1, Anja Scheller, Petra G Hirrlinger
1Faculty of Medicine, Interdisciplinary Centre for Clinical Research, IZKF,University of Leipzig, Leipzig, Germany. johannes.hirrlinger@medizin.uni-leipzig.de
Split-Cre fragments enable precise gene targeting in mice by requiring two promoters for activity. This method allows researchers to identify specific cell populations, like glial progenitors and interneurons, for in vivo studies.
Area of Science:
- Molecular Biology
- Neuroscience
- Genetics
Background:
- Conditional gene regulation in mice relies on Cre/LoxP recombination.
- Existing Cre recombinase expression often lacks cell-type specificity.
- Targeting specific cell subsets requires more precise genetic tools.
Purpose of the Study:
- To develop a novel split-Cre system for precise conditional gene targeting.
- To enable spatial and temporal coincidence detection for gene manipulation.
- To identify specific cell populations co-expressing multiple promoters.
Main Methods:
- Design and implementation of inactive split-Cre fragments.
- Generation of transgenic mice expressing split-Cre.
- Virus-mediated expression of split-Cre in vivo.
- Utilizing dual-promoter control for split-Cre reassembly and activity.
Main Results:
- Demonstrated efficient reporter gene activation in vivo using split-Cre.
- Identified a specific subgroup of glial progenitor cells co-expressing Plp1 and Gfap promoters.
- Successfully labeled a subset of interneurons using Gad67 and Cck1 promoters via viral delivery.
- Validated split-Cre as a spatial and temporal coincidence detector.
Conclusions:
- Split-Cre technology offers enhanced specificity for conditional gene targeting.
- This system allows for the identification of cells with unique promoter activity patterns.
- Split-Cre is a powerful tool for dissecting complex cellular populations in vivo.
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