Gladstone Institutes, San Francisco, CA, USA; Developmental and Stem Cell Biology PhD Program, University of California, San Francisco, San Francisco, CA, USA; Roddenberry Center for Stem Cell Biology at Gladstone, San Francisco, CA, USA.
Gladstone Institutes, San Francisco, CA, USA; Roddenberry Center for Stem Cell Biology at Gladstone, San Francisco, CA, USA.
Stem Cell Reports. 2023 Nov 14;18(11):2138-2153. doi: 10.1016/j.stemcr.2023.09.014. Epub 2023 Oct 19.
Congenital heart disease often arises from perturbations of transcription factors (TFs) that guide cardiac development. ISLET1 (ISL1) is a TF that influences early cardiac cell fate, as well as differentiation of other cell types including motor neuron progenitors (MNPs) and pancreatic islet cells. While lineage specificity of ISL1 function is likely achieved through combinatorial interactions, its essential cardiac interacting partners are unknown. By assaying ISL1 genomic occupancy in human induced pluripotent stem cell-derived cardiac progenitors (CPs) or MNPs and leveraging the deep learning approach BPNet, we identified motifs of other TFs that predicted ISL1 occupancy in each lineage, with NKX2.5 and GATA motifs being most closely associated to ISL1 in CPs. Experimentally, nearly two-thirds of ISL1-bound loci were co-occupied by NKX2.5 and/or GATA4. Removal of NKX2.5 from CPs led to widespread ISL1 redistribution, and overexpression of NKX2.5 in MNPs led to ISL1 occupancy of CP-specific loci. These results reveal how ISL1 guides lineage choices through a combinatorial code that dictates genomic occupancy and transcription.
先天性心脏病通常源于转录因子 (TFs) 的扰动,这些转录因子指导心脏发育。ISLET1 (ISL1) 是一种影响早期心脏细胞命运的 TF,也影响包括运动神经元祖细胞 (MNPs) 和胰岛细胞在内的其他细胞类型的分化。虽然 ISL1 功能的谱系特异性可能是通过组合相互作用实现的,但它的心脏必需相互作用伙伴尚不清楚。通过检测人类诱导多能干细胞衍生的心脏祖细胞 (CPs) 或 MNPs 中 ISL1 的基因组占据情况,并利用深度学习方法 BPNet,我们确定了其他 TF 的基序,这些基序预测了每个谱系中 ISL1 的占据情况,其中 NKX2.5 和 GATA 基序与 CPs 中的 ISL1 最密切相关。实验上,近三分之二的 ISL1 结合位点被 NKX2.5 和/或 GATA4 共同占据。从 CPs 中去除 NKX2.5 导致 ISL1 广泛重新分布,在 MNPs 中过表达 NKX2.5 导致 ISL1 占据 CP 特异性位点。这些结果揭示了 ISL1 如何通过组合密码指导基因组占据和转录,从而指导谱系选择。