Trends GenetJClub
Identifying fate-determining transcription factors with single-cell omics.
Trends in Genetics · · Review
Xi, Li + more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
Single-cell omics reveals key transcription factors that determine cell fate with diverse computational approaches.
- Why it matters: Understanding how transcription factors govern cell identity and transitions is crucial for advancing regenerative medicine and developmental biology, yet existing methods vary widely in data requirements and questions addressed.
- What they did: The authors review and categorize computational methods for identifying fate-determining transcription factors based on their focus on cell state identity or transitions, modeling as discrete or continuous, and acting individually or combinatorially, covering key features and applications.
- The result: This comprehensive overview guides researchers in selecting appropriate tools and highlights emerging trends toward programmable control of cell fate, enabling more precise manipulation of cellular identities.
The findingWhy it mattersWhat they didThe result