从时间顺序的干细胞分化 RNA 测序数据中生成转录调控网络。
Generating transcriptional regulatory networks from time-ordered stem cell differentiation RNA sequencing data.
机构信息
Center for Systems and Synthetic Biology, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
出版信息
STAR Protoc. 2022 Aug 19;3(3):101541. doi: 10.1016/j.xpro.2022.101541. eCollection 2022 Sep 16.
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).
我们描述了从时间顺序的干细胞分化表达数据中识别上升和下降单调关键基因、构建时间顺序转录调控网络以及推断转录因子在分化过程中的参与的步骤。有关该方案使用和执行的完整详细信息，请参阅 Wong 等人（2020 年）。
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