Generating transcriptional regulatory networks from time-ordered stem cell differentiation RNA sequencing data

We describe steps to 1) identify ascending and descending monotonic key genes from time-ordered stem cell differentiation expression data, 2) construct time-ordered transcriptional regulatory networks, and 3) infer the involvement of transcription factors along the differentiation process. For compl...

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Detalles Bibliográficos
Autores principales: Tsai, Yu-Shuen, Chang, Yao-Ming, Lim, Yang-Mooi, Cheong, Soon-Keng, Chung, I-Fang, Wong, Chee-Yin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420390/
https://www.ncbi.nlm.nih.gov/pubmed/36042881
http://dx.doi.org/10.1016/j.xpro.2022.101541
Descripción
Sumario:We describe steps to 1) identify ascending and descending monotonic key genes from time-ordered stem cell differentiation expression data, 2) construct time-ordered transcriptional regulatory networks, and 3) infer the involvement of transcription factors along the differentiation process. For complete details on the use and execution of this protocol, please refer to Wong et al. (2020).

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