Yifan Shen
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Yifan Shen has a total of 12 co-authors. Here are the top co-authors by number of shared publications:
- Bei Wang
Cornell University
2 shared publications - Chun Han
Cornell University
2 shared publications Elizabeth Korn
Department of Molecular Biology and Genetics, Cornell University
2 shared publicationsPayton Ditchfield
Department of Molecular Biology and Genetics, Cornell University
2 shared publicationsAnn T Yeung
Department of Molecular Biology and Genetics, Cornell University
1 shared publicationAnn T. Yeung
Department of Molecular Biology and Genetics, Cornell University
1 shared publication
Latest Publications
- Open Access
- 27 May 2026
- Published by National Academy of Sciences in Proceedings of the National Academy of Sciences
- Vol. 123 (22)
Tuning mitotic recombination with patterned DNA nicks for precision mosaic analysis
CRISPR/Cas9-based mosaic analysis is a powerful tool for in vivo genetics but is limited by cytotoxicity and mutagenesis associated with DNA double-strand breaks. Here, we establish Cas9-derived nickases as safer and more reliable alternatives for inducing mitotic recombination in Drosophila . We demonstrate that single-strand nicks are sufficient to generate mosaic clones and systematically dissect the parameters governing this process. We find that clone frequency can be controlled by the gRNA nicking pattern, with two distant nicks on the same DNA strand synergistically enhancing recombination by over ninefold compared to a single nick. Based on these findings, we propose a mechanistic model for nick-induced crossover and provide a versatile toolkit for generating tissue-specific nickases. This work establishes nickase-based mosaic analysis by gRNA-induced crossing-over as a superior method for high-fidelity clonal analysis, enabling more precise investigation of gene function in development and disease.
- 27 May 2026
- Published by National Academy of Sciences in Proceedings of the National Academy of Sciences
- Vol. 123 (22)
Open AccessTuning mitotic recombination with patterned DNA nicks for precision mosaic analysis
CRISPR/Cas9-based mosaic analysis is a powerful tool for in vivo genetics but is limited by cytotoxicity and mutagenesis associated with DNA double-strand breaks. Here, we establish Cas9-derived nickases as safer and more reliable alternatives for inducing mitotic recombination in Drosophila . We demonstrate that single-strand nicks are sufficient to generate mosaic clones and systematically dissect the parameters governing this process. We find that clone frequency can be controlled by the gRNA nicking pattern, with two distant nicks on the same DNA strand synergistically enhancing recombination by over ninefold compared to a single nick. Based on these findings, we propose a mechanistic model for nick-induced crossover and provide a versatile toolkit for generating tissue-specific nickases. This work establishes nickase-based mosaic analysis by gRNA-induced crossing-over as a superior method for high-fidelity clonal analysis, enabling more precise investigation of gene function in development and disease.
- Open Access
- 11 March 2026
- Published by eLife Sciences Publications, Ltd in eLife
- Vol. 14
A genome-wide MAGIC kit for recombinase-independent mosaic analysis in Drosophila
Mosaic analysis has been instrumental in advancing developmental and cell biology. Most current mosaic techniques rely on exogenous site-specific recombination sequences that need to be introduced into the genome, limiting their application. Mosaic analysis by gRNA-induced crossing-over (MAGIC) was recently developed in Drosophila to eliminate this requirement by inducing somatic recombination through CRISPR/Cas9-generated DNA double-strand breaks. However, MAGIC has not been widely adopted because gRNA markers, a required component for this technique, are not yet available for most chromosomes. Here, we present a complete, genome-wide gRNA-marker kit that incorporates optimized designs for enhanced clone induction and more effective clone labeling in both positive MAGIC (pMAGIC) and negative MAGIC (nMAGIC). With this kit, we demonstrate clonal analysis in a broad range of Drosophila tissues, including cell types that have been difficult to analyze using recombinase-based systems. Notably, MAGIC enables clonal analysis of pericentromeric genes, deficiency chromosomes and in interspecific hybrid animals, opening new avenues for gene function study, rapid gene discovery, and understanding cellular basis of speciation. This MAGIC kit complements existing systems and makes mosaic analysis accessible to address a wider range of biological questions.
- 11 March 2026
- Published by eLife Sciences Publications, Ltd in eLife
- Vol. 14
Open AccessA genome-wide MAGIC kit for recombinase-independent mosaic analysis in Drosophila
Mosaic analysis has been instrumental in advancing developmental and cell biology. Most current mosaic techniques rely on exogenous site-specific recombination sequences that need to be introduced into the genome, limiting their application. Mosaic analysis by gRNA-induced crossing-over (MAGIC) was recently developed in Drosophila to eliminate this requirement by inducing somatic recombination through CRISPR/Cas9-generated DNA double-strand breaks. However, MAGIC has not been widely adopted because gRNA markers, a required component for this technique, are not yet available for most chromosomes. Here, we present a complete, genome-wide gRNA-marker kit that incorporates optimized designs for enhanced clone induction and more effective clone labeling in both positive MAGIC (pMAGIC) and negative MAGIC (nMAGIC). With this kit, we demonstrate clonal analysis in a broad range of Drosophila tissues, including cell types that have been difficult to analyze using recombinase-based systems. Notably, MAGIC enables clonal analysis of pericentromeric genes, deficiency chromosomes and in interspecific hybrid animals, opening new avenues for gene function study, rapid gene discovery, and understanding cellular basis of speciation. This MAGIC kit complements existing systems and makes mosaic analysis accessible to address a wider range of biological questions.