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Zhao S, Zhao H, Zhao L, Cheng X, Zheng Z, Wu M, Wen W, Wang S, Zhou Z, Xie H, Ruan D, Li Q, Liu X, Ou C, Li G, Zhao Z, Chen G, Niu Y, Yin X, Hu Y, Zhang X, Liu P, Qiu G, Liu W, Zhao C, Wu Z, Zhang J, Wu N. Unraveling the genetic architecture of congenital vertebral malformation with reference to the developing spine. Nat Commun 2024; 15:1125. [PMID: 38321032 PMCID: PMC10847475 DOI: 10.1038/s41467-024-45442-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Accepted: 01/23/2024] [Indexed: 02/08/2024] Open
Abstract
Congenital vertebral malformation, affecting 0.13-0.50 per 1000 live births, has an immense locus heterogeneity and complex genetic architecture. In this study, we analyze exome/genome sequencing data from 873 probands with congenital vertebral malformation and 3794 control individuals. Clinical interpretation identifies Mendelian etiologies in 12.0% of the probands and reveals a muscle-related disease mechanism. Gene-based burden test of ultra-rare variants identifies risk genes with large effect sizes (ITPR2, TBX6, TPO, H6PD, and SEC24B). To further investigate the biological relevance of the genetic association signals, we perform single-nucleus RNAseq on human embryonic spines. The burden test signals are enriched in the notochord at early developmental stages and myoblast/myocytes at late stages, highlighting their critical roles in the developing spine. Our work provides insights into the developmental biology of the human spine and the pathogenesis of spine malformation.
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Affiliation(s)
- Sen Zhao
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China
- State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Hengqiang Zhao
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, 100730, China
- Key laboratory of big data for spinal deformities, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Lina Zhao
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, 100730, China
- Medical Research Center, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Xi Cheng
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Zhifa Zheng
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, 100730, China
- Key laboratory of big data for spinal deformities, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Mengfan Wu
- Institute of Evolution & Marine Biodiversity, College of Marine Life Science, Ocean University of China, Qingdao, 266003, China
| | - Wen Wen
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Shengru Wang
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Zixiang Zhou
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Haibo Xie
- Institute of Evolution & Marine Biodiversity, College of Marine Life Science, Ocean University of China, Qingdao, 266003, China
| | - Dengfeng Ruan
- Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), Zhejiang University School of Medicine, International Campus, Zhejiang University, 718 East Haizhou Road, Haining, 314400, China
| | - Qing Li
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, 100730, China
- Key laboratory of big data for spinal deformities, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Xinquan Liu
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Chengzhu Ou
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Guozhuang Li
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, 100730, China
- Key laboratory of big data for spinal deformities, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Zhengye Zhao
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, 100730, China
- Key laboratory of big data for spinal deformities, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Guilin Chen
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, 100730, China
- Key laboratory of big data for spinal deformities, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Yuchen Niu
- State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, 100730, China
- Key laboratory of big data for spinal deformities, Chinese Academy of Medical Sciences, Beijing, 100730, China
- Medical Research Center, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Xiangjie Yin
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, 100730, China
- Key laboratory of big data for spinal deformities, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Yuhong Hu
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Xiaochen Zhang
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Pengfei Liu
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
- Baylor Genetics, Houston, TX, 77021, USA
| | - Guixing Qiu
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China
- State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, 100730, China
- Key laboratory of big data for spinal deformities, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Wanlu Liu
- Zhejiang University-University of Edinburgh Institute (ZJU-UoE Institute), Zhejiang University School of Medicine, International Campus, Zhejiang University, 718 East Haizhou Road, Haining, 314400, China
| | - Chengtian Zhao
- Institute of Evolution & Marine Biodiversity, College of Marine Life Science, Ocean University of China, Qingdao, 266003, China
| | - Zhihong Wu
- State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China.
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, 100730, China.
- Key laboratory of big data for spinal deformities, Chinese Academy of Medical Sciences, Beijing, 100730, China.
- Medical Research Center, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.
| | - Jianguo Zhang
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China.
- State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China.
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, 100730, China.
- Key laboratory of big data for spinal deformities, Chinese Academy of Medical Sciences, Beijing, 100730, China.
| | - Nan Wu
- Department of Orthopedic Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China.
- State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China.
- Beijing Key Laboratory for Genetic Research of Skeletal Deformity, Beijing, 100730, China.
- Key laboratory of big data for spinal deformities, Chinese Academy of Medical Sciences, Beijing, 100730, China.
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Qiao Y, Wang J, Zheng L, Yang Y, Li H, Li M, Zhang S, Wang H, Zhang T. Proteomics and phosphoproteomics to study Tuina reverses capsule fibrosis in frozen shoulder: a research report based on rats. Sci Rep 2024; 14:661. [PMID: 38182704 PMCID: PMC10770356 DOI: 10.1038/s41598-023-50904-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 12/27/2023] [Indexed: 01/07/2024] Open
Abstract
Frozen shoulder (FS) is a common disorder often treated with Tuina, but the mechanisms involved remain unclear. We employed proteomics and phosphoproteomics to investigate the mechanisms associated with the treatment of capsule fibrosis in FS rats. We used a method composed of three weeks of cast immobilization to establish a model of FS. We then administered Tuina once daily for 14 days, evaluated glenohumeral range of motion (ROM), assessed histological changes, and identified differentially expressed proteins (DEPs) using proteomics and phosphoproteomics. This study demonstrated that Tuina could improve glenohumeral ROM and reserve capsule fibrosis in FS rats. Proteomics revealed proteins regulated by Tuina belonging to the PI3K-AKT and ECM receptor interaction signaling pathways. Phosphoproteomics detected differentially phosphorylated proteins regulated by Tuina to be enriched in the MAPK signaling pathway. The combination of proteomics and phosphoproteomics for Protein-Protein Interaction (PPI) network analysis revealed that the phosphorylation of Myh3 and Srsf1 with a node degree larger than the average degree were considered the central regulatory protein modulated by Tuina to reverse capsule fibrosis. Thbs1, Vtn, and Tenascin-W were significantly enriched in PI3K-AKT and ECM receptor interaction signaling pathways and highly expressed in model rats. Tuina resulted in reduced expression of these proteins. Our findings demonstrated some of mechanisms behind the reversal of FS capsule fibrosis following Tuina, a scientific medical therapy for FS patients.
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Affiliation(s)
- Yingjie Qiao
- College of Acupuncture and Tuina, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Jianmin Wang
- Department of Tuina, Shandong University of Traditional Chinese Medicine Affiliated Hospital, Jinan, Shandong, China
| | - Lijun Zheng
- College of Acupuncture and Tuina, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Yanhong Yang
- Special Education and Rehabilitation College, Binzhou Medical University, Binzhou, Shandong, China
| | - Huadong Li
- Department of Tuina, Shandong University of Traditional Chinese Medicine Affiliated Hospital, Jinan, Shandong, China.
| | - Muzhen Li
- College of Acupuncture and Tuina, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Shidong Zhang
- College of Acupuncture and Tuina, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Hongyi Wang
- College of Acupuncture and Tuina, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Tiantian Zhang
- College of Acupuncture and Tuina, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
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5
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Zhang D, Deng Y, Kukanja P, Agirre E, Bartosovic M, Dong M, Ma C, Ma S, Su G, Bao S, Liu Y, Xiao Y, Rosoklija GB, Dwork AJ, Mann JJ, Leong KW, Boldrini M, Wang L, Haeussler M, Raphael BJ, Kluger Y, Castelo-Branco G, Fan R. Spatial epigenome-transcriptome co-profiling of mammalian tissues. Nature 2023; 616:113-122. [PMID: 36922587 PMCID: PMC10076218 DOI: 10.1038/s41586-023-05795-1] [Citation(s) in RCA: 73] [Impact Index Per Article: 73.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 02/03/2023] [Indexed: 03/17/2023]
Abstract
Emerging spatial technologies, including spatial transcriptomics and spatial epigenomics, are becoming powerful tools for profiling of cellular states in the tissue context1-5. However, current methods capture only one layer of omics information at a time, precluding the possibility of examining the mechanistic relationship across the central dogma of molecular biology. Here, we present two technologies for spatially resolved, genome-wide, joint profiling of the epigenome and transcriptome by cosequencing chromatin accessibility and gene expression, or histone modifications (H3K27me3, H3K27ac or H3K4me3) and gene expression on the same tissue section at near-single-cell resolution. These were applied to embryonic and juvenile mouse brain, as well as adult human brain, to map how epigenetic mechanisms control transcriptional phenotype and cell dynamics in tissue. Although highly concordant tissue features were identified by either spatial epigenome or spatial transcriptome we also observed distinct patterns, suggesting their differential roles in defining cell states. Linking epigenome to transcriptome pixel by pixel allows the uncovering of new insights in spatial epigenetic priming, differentiation and gene regulation within the tissue architecture. These technologies are of great interest in life science and biomedical research.
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Affiliation(s)
- Di Zhang
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - Yanxiang Deng
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
- Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA.
- Department of Pathology and Laboratory Medicine, Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Petra Kukanja
- Laboratory of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Eneritz Agirre
- Laboratory of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Marek Bartosovic
- Laboratory of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Mingze Dong
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
- Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | - Cong Ma
- Department of Computer Science, Princeton University, Princeton, NJ, USA
| | - Sai Ma
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Graham Su
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
- Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
| | - Shuozhen Bao
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
| | - Yang Liu
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
- Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
| | - Yang Xiao
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
| | - Gorazd B Rosoklija
- Department of Psychiatry, Columbia University, New York, NY, USA
- Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York, NY, USA
- Macedonian Academy of Sciences & Arts, Skopje, Republic of Macedonia
| | - Andrew J Dwork
- Department of Psychiatry, Columbia University, New York, NY, USA
- Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York, NY, USA
- Macedonian Academy of Sciences & Arts, Skopje, Republic of Macedonia
- Department of Pathology and Cell Biology, Columbia University, New York, NY, USA
| | - J John Mann
- Department of Psychiatry, Columbia University, New York, NY, USA
- Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York, NY, USA
- Department of Radiology, Columbia University, New York, NY, USA
| | - Kam W Leong
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Maura Boldrini
- Department of Psychiatry, Columbia University, New York, NY, USA
- Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York, NY, USA
| | - Liya Wang
- AtlasXomics, Inc., New Haven, CT, USA
| | | | - Benjamin J Raphael
- Department of Computer Science, Princeton University, Princeton, NJ, USA
| | - Yuval Kluger
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
- Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
- Applied Mathematics Program, Yale University, New Haven, CT, USA
| | - Gonçalo Castelo-Branco
- Laboratory of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
- Ming Wai Lau Centre for Reparative Medicine, Stockholm Node, Karolinska Institutet, Stockholm, Sweden.
| | - Rong Fan
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
- Yale Stem Cell Center and Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA.
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA.
- Human and Translational Immunology Program, Yale School of Medicine, New Haven, CT, USA.
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