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Abstract
Liver development is a complex process that is regulated by a series of signaling pathways. Three-dimensional (3D) chromatin architecture plays an important role in transcriptional regulation; nonetheless, its dynamics and role in the rapid transition of core liver functions during development and obesity-induced metabolic stress remain largely unexplored. To investigate the dynamic chromatin architecture during liver development and under metabolic stress, we generated high-resolution maps of chromatin architecture for porcine livers across six major developmental stages (from embryonic day 38 to the adult stage) and under a high-fat diet-induced obesity. The characteristically loose chromatin architecture supports a highly plastic genome organization during early liver development, which fundamentally contributes to the rapid functional transitions in the liver after birth. We reveal the multi-scale reorganization of chromatin architecture and its influence on transcriptional regulation of critical signaling processes during liver development, and show its close association with transition in hepatic functions (i.e., from hematopoiesis in the fetus to metabolism and immunity after birth). The limited changes in chromatin structure help explain the observed metabolic adaptation to excessive energy intake in pigs. These results provide a global overview of chromatin architecture dynamics associated with the transition of physiological liver functions between prenatal development and postnatal maturation, and a foundational resource that allows for future in-depth functional characterization.
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Details
; Zhang, Jiaman 2 ; Lin, Yu 2 ; Wang, Lina 3 ; Zhu, Xingxing 2 ; Zhu, Wei 2 ; Bai, Jingyi 2 ; Kong, Fanli 2 ; Zeng, Bo 2 ; Lu, Lu 2
; Ma, Jideng 2 ; Long, Keren 2 ; Jin, Long 2
; Huang, Zhiqing 4 ; Huo, Jinlong 5 ; Gu, Yiren 6 ; Wang, Danyang 7 ; Mo, Delin 1 ; Li, Diyan 2 ; Tang, Qianzi 2 ; Li, Xuewei 2 ; Wu, Jiangwei 8
; Chen, Yaosheng 1 ; Li, Mingzhou 2
1 Sun Yat-sen University, State Key Laboratory of Biocontrol, School of Life Sciences, Guangzhou, China (GRID:grid.12981.33) (ISNI:0000 0001 2360 039X)
2 Sichuan Agricultural University, Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Chengdu, China (GRID:grid.80510.3c) (ISNI:0000 0001 0185 3134)
3 Sichuan Agricultural University, Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Chengdu, China (GRID:grid.80510.3c) (ISNI:0000 0001 0185 3134); Yunnan Agricultural University, Faculty of Animal Science and Technology, Kunming, China (GRID:grid.410696.c) (ISNI:0000 0004 1761 2898)
4 Sichuan Agricultural University, Institute of Animal Nutrition, Chengdu, China (GRID:grid.80510.3c) (ISNI:0000 0001 0185 3134)
5 Yunnan Agricultural University, Faculty of Animal Science and Technology, Kunming, China (GRID:grid.410696.c) (ISNI:0000 0004 1761 2898)
6 Sichuan Animal Science Academy, Animal Breeding and Genetics Key Laboratory of Sichuan Province, Chengdu, China (GRID:grid.410636.6) (ISNI:0000 0004 1761 0833)
7 Chinese Academy of Sciences, and China National Center for Bioinformation, Beijing Institute of Genomics, Beijing, China (GRID:grid.9227.e) (ISNI:0000000119573309)
8 Northwest A&F University, College of Animal Science and Technology, Yangling, China (GRID:grid.144022.1) (ISNI:0000 0004 1760 4150)




