Chromatin and transcription factor profiling in rare stem cell populations using CUT&Tag

Autor: Hina Bandukwala, Marjorie Brand, Philippe Gingras-Gelinas, Thomas Olender, Alexandre Blais, Daniel C.L. Robinson, Carmen G. Palii, Yuefeng Li, Kiran Nakka, Odile Neyret, Matthew Man-Kin Wong, F. Jeffrey Dilworth
Rok vydání: 2021
Předmět:
Zdroj: STAR Protocols, Vol 2, Iss 3, Pp 100751-(2021)
STAR Protocols
ISSN: 2666-1667
DOI: 10.1016/j.xpro.2021.100751
Popis: Summary Muscle stem cells (MuSCs) are a rare stem cell population that provides myofibers with a remarkable capacity to regenerate after tissue injury. Here, we have adapted the Cleavage Under Target and Tagmentation technology to the mapping of the chromatin landscape and transcription factor binding in 50,000 activated MuSCs isolated from injured mouse hindlimb muscles. We have applied this same approach to human CD34+ hematopoietic stem and progenitor cells. This protocol could be adapted to any rare stem cell population. For complete details on the use and execution of this protocol, please refer to Robinson et al. (2021).
Graphical abstract
Highlights • Isolation of muscle stem cells from cardiotoxin-injured tissue • CUT&Tag-based mapping of epigenetic landscape and transcription factor enrichment • Adaptation of a synthetic spike-in DNA for effective normalization across samples • Pipeline for efficient analysis of CUT&Tag sequencing data hosted on Git-hub
Muscle stem cells (MuSCs) are a rare stem cell population that provides myofibers with a remarkable capacity to regenerate after tissue injury. Here, we have adapted the Cleavage Under Target and Tagmentation technology to the mapping of the chromatin landscape and transcription factor binding in 50,000 activated MuSCs isolated from injured mouse hindlimb muscles. We have applied this same approach to human CD34+ hematopoietic stem and progenitor cells. This protocol could be adapted to any rare stem cell population.
Databáze: OpenAIRE