Ko Kyung Dae, Jiang Kan, Dell'Orso Stefania, Sartorelli Vittorio
Laboratory of Muscle Stem Cells and Gene Regulation, NIAMS, NIH, Bethesda, MD, USA.
Biodata Mining and Discovery Section, NIAMS, NIH, Bethesda, MD, USA.
STAR Protoc. 2023 May 15;4(2):102307. doi: 10.1016/j.xpro.2023.102307.
Here, we present workflows for integrating independent transcriptomic and chromatin accessibility datasets and analyzing multiomics. First, we describe steps for integrating independent transcriptomic and chromatin accessibility measurements. Next, we detail multimodal analysis of transcriptomes and chromatin accessibility performed in the same sample. We demonstrate their use by analyzing datasets obtained from mouse embryonic stem cells induced to differentiate toward mesoderm-like, myogenic, or neurogenic phenotypes. For complete details on the use and execution of this protocol, please refer to Khateb et al..
在此，我们展示了整合独立转录组学和染色质可及性数据集以及分析多组学的工作流程。首先，我们描述整合独立转录组学和染色质可及性测量的步骤。接下来，我们详细介绍在同一样本中进行的转录组和染色质可及性的多模态分析。我们通过分析从小鼠胚胎干细胞诱导分化为中胚层样、成肌或神经源性表型所获得的数据集来展示它们的用途。有关本方案使用和执行的完整详细信息，请参考Khateb等人的研究。
