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鉴定驱动人类星形胶质细胞发育的配体-受体对。

Identification of ligand-receptor pairs that drive human astrocyte development.

机构信息

Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA.

Department of Radiation Oncology, Emory University School of Medicine, Atlanta, GA, USA.

出版信息

Nat Neurosci. 2023 Aug;26(8):1339-1351. doi: 10.1038/s41593-023-01375-8. Epub 2023 Jul 17.

Abstract

Extrinsic signaling between diverse cell types is crucial for nervous system development. Ligand binding is a key driver of developmental processes. Nevertheless, it remains a significant challenge to disentangle which and how extrinsic signals act cooperatively to affect changes in recipient cells. In the developing human brain, cortical progenitors transition from neurogenesis to gliogenesis in a stereotyped sequence that is in part influenced by extrinsic ligands. Here we used published transcriptomic data to identify and functionally test five ligand-receptor pairs that synergistically drive human astrogenesis. We validate the synergistic contributions of TGFβ2, NLGN1, TSLP, DKK1 and BMP4 ligands on astrocyte development in both hCOs and primary fetal tissue. We confirm that the cooperative capabilities of these five ligands are greater than their individual capacities. Additionally, we discovered that their combinatorial effects converge in part on the mTORC1 signaling pathway, resulting in transcriptomic and morphological features of astrocyte development. Our data-driven framework can leverage single-cell and bulk genomic data to generate and test functional hypotheses surrounding cell-cell communication regulating neurodevelopmental processes.

摘要

不同类型细胞之间的外在信号对于神经系统的发育至关重要。配体结合是发育过程的关键驱动因素。然而,要理清哪些和如何外在信号协同作用以影响受体细胞的变化仍然是一个重大挑战。在发育中的人类大脑中,皮质祖细胞按照刻板的顺序从神经发生转变为神经胶质发生,这在一定程度上受到外在配体的影响。在这里,我们使用已发表的转录组数据来鉴定和功能测试五个协同驱动人类星形胶质细胞发生的配体-受体对。我们验证了 TGFβ2、NLGN1、TSLP、DKK1 和 BMP4 配体在 hCO 和原代胎儿组织中对星形胶质细胞发育的协同作用。我们证实这五个配体的协同能力大于它们各自的能力。此外,我们发现它们的组合效应部分集中在 mTORC1 信号通路,导致星形胶质细胞发育的转录组和形态特征。我们的数据驱动框架可以利用单细胞和批量基因组数据生成和测试围绕调节神经发育过程的细胞间通讯的功能假设。

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