Abstract
The mechanism by which mammalian liver cell responses are coordinated during tissue homeostasis and perturbation is poorly understood, representing a major obstacle in our understanding of many diseases. This knowledge gap is caused by the difficulty involved with studying multiple cell types in different states and locations, particularly when these are transient. We have combined Stereo-seq (spatiotemporal enhanced resolution omics-sequencing) with single-cell transcriptomic profiling of 473,290 cells to generate a high-definition spatiotemporal atlas of mouse liver homeostasis and regeneration at the whole-lobe scale. Our integrative study dissects in detail the molecular gradients controlling liver cell function, systematically defining how gene networks are dynamically modulated through intercellular communication to promote regeneration. Among other important regulators, we identified the transcriptional cofactor TBL1XR1 as a rheostat linking inflammation to Wnt/β-catenin signaling for facilitating hepatocyte proliferation. Our data and analytical pipelines lay the foundation for future high-definition tissue-scale atlases of organ physiology and malfunction.
Originalsprog | Engelsk |
---|---|
Tidsskrift | Nature Genetics |
Vol/bind | 56 |
Sider (fra-til) | 953-969 |
Antal sider | 17 |
ISSN | 1061-4036 |
DOI | |
Status | Udgivet - 2024 |
Bibliografisk note
Funding Information:We thank all our teams\u2019 members, Jian Zhang (Experimental Animal Center, Guangzhou Institutes of Biomedicine and Health) and the CNGB for their support. This work was supported by the National Key Research and Development Program of China (2022YFC3400400 to X.X.), National Natural Science Foundation of China (32370848 to M.A.E., 92368301, 92168202 to L.H., 32200688 to Y. Lai and 32070861 to B.Q.), National Science and Technology Innovation 2030 Major Program (2021ZD0200100 to L. Liu), Shenzhen Basic Research Project for Excellent Young Scholars (RCYX20200714114644191 to L. Liu), Guangdong Basic and Applied Basic Research Foundation (2021B1515120075 to M.A.E. and 2021A1515110180 to Y. Lai), Guangzhou Basic and Applied Basic Research Foundation (202201010408 to Y. Lai, 202201011037 to Li Li, 202201010455 to T.A.). The CNGB was supported by Guangdong Genomics Data Center (2021B1212100001).
Publisher Copyright:
© The Author(s), under exclusive licence to Springer Nature America, Inc. 2024.