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Shi J, Jia Z, Sun J, Wang X, Zhao X, Zhao C, Liang F, Song X, Guan J, Jia X, Yang J, Chen Q, Yu K, Jia Q, Wu J, Wang D, Xiao Y, Xu X, Liu Y, Wu S, Zhong Q, Wu J, Cui S, Bo X, Wu Z, Park M, Kellis M, He K. Structural variants involved in high-altitude adaptation detected using single-molecule long-read sequencing. Nat Commun 2023; 14:8282. [PMID: 38092772 PMCID: PMC10719358 DOI: 10.1038/s41467-023-44034-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Accepted: 11/27/2023] [Indexed: 12/17/2023] Open
Abstract
Structural variants (SVs), accounting for a larger fraction of the genome than SNPs/InDels, are an important pool of genetic variation, enabling environmental adaptations. Here, we perform long-read sequencing data of 320 Tibetan and Han samples and show that SVs are highly involved in high-altitude adaptation. We expand the landscape of global SVs, apply robust models of selection and population differentiation combining SVs, SNPs and InDels, and use epigenomic analyses to predict enhancers, target genes and biological functions. We reveal diverse Tibetan-specific SVs affecting the regulatory circuitry of biological functions, including the hypoxia response, energy metabolism and pulmonary function. We find a Tibetan-specific deletion disrupts a super-enhancer and downregulates EPAS1 using enhancer reporter, cellular knock-out and DNA pull-down assays. Our study expands the global SV landscape, reveals the role of gene-regulatory circuitry rewiring in human adaptation, and illustrates the diverse functional roles of SVs in human biology.
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Affiliation(s)
- Jinlong Shi
- Medical Big Data Research Center, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China
- National Engineering Research Center of Medical Big Data, Chinese PLA General Hospital, Beijing, 100853, China
- Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Chinese PLA General Hospital, Beijing, 100853, China
- Beijing Key Laboratory for Precision Medicine of Chronic Heart Failure, Chinese PLA General Hospital, Beijing, China
| | - Zhilong Jia
- Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Chinese PLA General Hospital, Beijing, 100853, China
- Beijing Key Laboratory for Precision Medicine of Chronic Heart Failure, Chinese PLA General Hospital, Beijing, China
- Medical Artificial Intelligence Research Center, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China
| | - Jinxiu Sun
- Medical Big Data Research Center, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China
- National Engineering Research Center of Medical Big Data, Chinese PLA General Hospital, Beijing, 100853, China
| | - Xiaoreng Wang
- Laboratory of Nuclear and Radiation Injury, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China
- State Key Laboratory of Experimental Hematology, Beijing, 100853, China
| | - Xiaojing Zhao
- Beijing Key Laboratory for Precision Medicine of Chronic Heart Failure, Chinese PLA General Hospital, Beijing, China
- Translational Medicine Research Center, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China
| | - Chenghui Zhao
- Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Chinese PLA General Hospital, Beijing, 100853, China
- Research Center for Biomedical Engineering, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China
| | - Fan Liang
- NextOmics Biosciences Inc, Wuhan, 430000, China
| | - Xinyu Song
- Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Chinese PLA General Hospital, Beijing, 100853, China
- Medical Artificial Intelligence Research Center, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China
| | - Jiawei Guan
- Medical Big Data Research Center, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China
- National Engineering Research Center of Medical Big Data, Chinese PLA General Hospital, Beijing, 100853, China
| | - Xue Jia
- Laboratory of Nuclear and Radiation Injury, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China
| | - Jing Yang
- Laboratory of Nuclear and Radiation Injury, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China
| | - Qi Chen
- Medical Big Data Research Center, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China
- National Engineering Research Center of Medical Big Data, Chinese PLA General Hospital, Beijing, 100853, China
| | - Kang Yu
- Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Chinese PLA General Hospital, Beijing, 100853, China
| | - Qian Jia
- Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Chinese PLA General Hospital, Beijing, 100853, China
| | - Jing Wu
- Medical Big Data Research Center, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China
- National Engineering Research Center of Medical Big Data, Chinese PLA General Hospital, Beijing, 100853, China
| | - Depeng Wang
- NextOmics Biosciences Inc, Wuhan, 430000, China
| | - Yuhui Xiao
- NextOmics Biosciences Inc, Wuhan, 430000, China
| | - Xiaoman Xu
- NextOmics Biosciences Inc, Wuhan, 430000, China
| | - Yinzhe Liu
- NextOmics Biosciences Inc, Wuhan, 430000, China
| | - Shijing Wu
- Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Chinese PLA General Hospital, Beijing, 100853, China
| | - Qin Zhong
- Medical Big Data Research Center, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China
- National Engineering Research Center of Medical Big Data, Chinese PLA General Hospital, Beijing, 100853, China
| | - Jue Wu
- Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Chinese PLA General Hospital, Beijing, 100853, China
| | - Saijia Cui
- Beijing Key Laboratory for Precision Medicine of Chronic Heart Failure, Chinese PLA General Hospital, Beijing, China
| | - Xiaochen Bo
- Beijing Institute of Radiation Medicine, Beijing, 100850, China
| | | | | | - Manolis Kellis
- Massachusetts Institute of Technology; MIT Computer Science and Artificial Intelligence Laboratory, Broad Institute of MIT and Harvard, Cambridge, 02139, MA, USA
| | - Kunlun He
- Medical Big Data Research Center, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, 100853, China.
- National Engineering Research Center of Medical Big Data, Chinese PLA General Hospital, Beijing, 100853, China.
- Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Chinese PLA General Hospital, Beijing, 100853, China.
- Beijing Key Laboratory for Precision Medicine of Chronic Heart Failure, Chinese PLA General Hospital, Beijing, China.
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Hinton M, Eltayeb E, Ghavami S, Dakshinamurti S. Effect of pulsatile stretch on unfolded protein response in a new model of the pulmonary hypertensive vascular wall. Biochem Biophys Rep 2021; 27:101080. [PMID: 34368469 PMCID: PMC8326203 DOI: 10.1016/j.bbrep.2021.101080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 07/11/2021] [Accepted: 07/13/2021] [Indexed: 02/07/2023] Open
Abstract
Persistent pulmonary hypertension of the newborn (PPHN) is characterized by hypoxemia and arterial remodeling. Dynamic stretch and recoil of the arterial wall during pulsation (in normal conduit arteries, stretch 20% above diastolic diameter) maintains homeostasis; a static arterial wall is associated with remodeling. PPHN is diagnosed by echocardiography as decreased pulmonary artery wall displacement during systole, causing decreased pulmonary arterial pressure acceleration time in a stiff artery. We hypothesized that a 'normal' amplitude of pulsatile stretch is protective against ER stress, while the loss of stretch is a trigger for hypoxia-induced stress responses. Using a novel in vitro model of pulmonary arterial myocytes subject to repetitive stretch-relaxation cycles within a normoxic or hypoxic environment, we examined the relative impact of hypoxia (pulmonary circuit during unresolved PPHN) and cyclic mechanical stretch (diminished in PPHN) on myocyte homeostasis, specifically on signaling proteins for autophagy and endoplasmic reticulum (ER) stress. Stretch induced autophagosome abundance under electron microscopy. Hypoxia, in presence or absence of pulsatile stretch, decreased unfolded protein response (UPR) hallmark BIP (GRP78) in contractile phenotype pulmonary arterial myocytes. Inositol requiring enzyme-1 α (IRE1α) was not activated; but hypoxia induced eif2α phosphorylation, increasing expression of ATF4 (activating transcription factor-4). This was sensitive to inhibition by autophagy inhibitor bafilomycin A1. We conclude that in the pulmonary circuit, hypoxia induces one arm of the UPR pathway and causes ER stress. Pulsatile stretch ameliorates the hypoxic UPR response, and while increasing presence of autophagosomes, does not activate canonical autophagy signaling pathways. We propose that simultaneous application of hypoxia and graded levels of cyclic stretch can be used to distinguish myocyte signaling in the deformable pulmonary artery of early PPHN, versus the inflexible late stage PPHN artery.
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Affiliation(s)
- Martha Hinton
- Biology of Breathing Group, Children’s Hospital Research Institute of Manitoba, 513 – 715 McDermot Avenue, Winnipeg, Canada, R3E 3P4
- Department of Physiology and Pathophysiology, University of Manitoba, 432 Basic Medical Sciences Building, 745 Bannatyne Avenue, Winnipeg, Canada, R3E 0J9
| | - Elwasila Eltayeb
- Section of Neonatology, Department of Pediatrics, University of Manitoba, Health Sciences Centre, 820 Sherbrook Street, Winnipeg, Canada, R3A 1R9
| | - Saeid Ghavami
- Biology of Breathing Group, Children’s Hospital Research Institute of Manitoba, 513 – 715 McDermot Avenue, Winnipeg, Canada, R3E 3P4
- Department of Human Anatomy and Cell Science, University of Manitoba, 130 Basic Medical Sciences Building, 745 Bannatyne Avenue, Winnipeg, Canada, R3E 0J9
| | - Shyamala Dakshinamurti
- Biology of Breathing Group, Children’s Hospital Research Institute of Manitoba, 513 – 715 McDermot Avenue, Winnipeg, Canada, R3E 3P4
- Section of Neonatology, Department of Pediatrics, University of Manitoba, Health Sciences Centre, 820 Sherbrook Street, Winnipeg, Canada, R3A 1R9
- Department of Physiology and Pathophysiology, University of Manitoba, 432 Basic Medical Sciences Building, 745 Bannatyne Avenue, Winnipeg, Canada, R3E 0J9
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