Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Decoding the differentiation of mesenchymal stem cells into mesangial cells at the transcriptomic level
por: Wong, Chee-Yin, et al.
Publicado: (2020) -
Editorial: Stem cell regeneration strategies in treating kidney diseases: From mechanisms to therapeutics
por: Wong, Chee-Yin, et al.
Publicado: (2023) -
Protocol for the generation of pancreatic and hepatic progenitors from human pluripotent stem cells for gene regulatory assays
por: Tan, Lay Shuen, et al.
Publicado: (2021) -
Protocol to generate endothelial cells, pericytes, and fibroblasts in one differentiation round from human-induced pluripotent stem cells
por: Park, Tea Soon, et al.
Publicado: (2023) -
Untargeted metabolite profiling on the water-soluble metabolites of edible bird’s nest through liquid chromatography-mass spectrometry
por: Tong, Shi-Ruo, et al.
Publicado: (2020)