Development of a split-toxin CRISPR screening platform to systematically identify regulators of human myoblast fusion
Muscle defects are common in human developmental disorders and often cause severe functional impairment. These defects arise from intricate tissue crosstalk and rare genetic mutations, underscoring the need to systematically identify cell-autonomous mechanisms regulating human myogenesis. Here we show a rationally designed, high-throughput genetic screening platform that integrates human myoblast models, customized CRISPR libraries, and a split-toxin strategy that enables quantitative selection of fusion-defective myocytes. Leveraging this platform, our initial screen uncovers a large group of hits essential for human myoblast fusion. The majority of these hits converge into 23 protein complexes. Notably, mutations in 41 screen hits are associated with human diseases marked by abnormal skeletal-muscle morphology. Applying a new single-cell CRISPR & RNA-seq approach, we show that majority of these hits control human myoblast fusion as well as influence early-stage myogenic differentiation. This work establishes a scalable approach to identify cell-autonomous regulators of human muscle differentiation and fusion.
Authors
- Z. Y. Zhang
- Renjie Shang (ORCID: https://orcid.org/0000-0002-9184-4094)
- Pengpeng Bi (ORCID: https://orcid.org/0000-0002-9871-6773)
- Vincent Mouly (ORCID: https://orcid.org/0000-0003-3809-4033)
- Elena Kudryashova (ORCID: https://orcid.org/0000-0002-1646-1229)
- Cuiyu He (ORCID: https://orcid.org/0000-0003-1556-2682)
- Yushu Wang
- A. P. Bigot (ORCID: https://orcid.org/0009-0001-0415-8257)
- Haifeng Zhang
- Dmitri S. Kudryashov
- Yanqing Cai
- Yanran Zhao
- Min Zhou
- Aaryahi Deshmukh
Institutions
- Inserm (FR)
- University of Georgia (US)
- Sorbonne Université (FR)
- Astrophysique, Instrumentation et Modélisation (FR)
- Institut de Myologie (FR)
- Centre de Recherche en Myologie
- The Ohio State University (US)
Publication Details
- Journal
- Nature Communications
- Published
- 2026-01-15
- DOI
- https://doi.org/10.1038/s41467-025-67583-x
- Citations
- 1
- Primary Topic
- CRISPR and Genetic Engineering
- Type
- article
- Field-Weighted Citation Impact
- 22.24