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Updated: Mar 26, 2026

Generation of Genomic Deletions in Mammalian Cell Lines via CRISPR/Cas9
Published on: January 3, 2015
Engineering microdeletions and microduplications by targeting segmental duplications with CRISPR.
Derek J C Tai1,2,3,4, Ashok Ragavendran1,3,4, Poornima Manavalan1,3,4
1Molecular Neurogenetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, Massachusetts, USA.
Scientists developed a new CRISPR/Cas9 method called SCORE to model genomic disorders caused by non-allelic homologous recombination (NAHR). This technique successfully created reciprocal copy number variants (CNVs) for studying these complex human diseases.
Area of Science:
- Genetics
- Genomic Medicine
- Molecular Biology
Background:
- Recurrent genomic disorders arise from non-allelic homologous recombination (NAHR) between segmental duplications (SDs).
- These disorders cause distinct human diseases, but modeling them is challenging due to complex genomic architecture.
- Developing tools to generate reciprocal copy number variants (CNVs) is crucial for studying these conditions.
Purpose of the Study:
- To introduce a novel CRISPR/Cas9 genome engineering method, SCORE, for modeling reciprocal genomic disorders.
- To demonstrate SCORE's capability in generating reciprocal CNVs that mimic NAHR.
- To validate the method's reproducibility and the transcriptional similarity between in vivo and in vitro models.
Main Methods:
- Utilized CRISPR/Cas9 genome editing with single-guide CRISPR/Cas targeting of repetitive elements (SCORE).
- Applied SCORE to generate reciprocal CNVs at specific genomic loci (16p11.2 and 15q13.3).
- Employed RNA sequencing to compare transcriptional signatures between human subjects and engineered models.
Main Results:
- Successfully generated reciprocal CNVs at 16p11.2 and 15q13.3 using the SCORE method.
- Demonstrated in vivo alteration of SDs mediating NAHR.
- Confirmed reproducible results and reliable clustering of transcriptional signatures between models and subjects.
Conclusions:
- SCORE is a reproducible and effective method for modeling reciprocal genomic disorders.
- This approach facilitates the study of genomic disorders by creating accurate in vivo and in vitro models.
- Further development may enable the use of SCORE for correcting genetic defects.
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