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Sun F, Li H, Sun D, Fu S, Gu L, Shao X, Wang Q, Dong X, Duan B, Xing F, Wu J, Xiao M, Zhao F, Han JDJ, Liu Q, Fan X, Li C, Wang C, Shi T. Single-cell omics: experimental workflow, data analyses and applications. SCIENCE CHINA. LIFE SCIENCES 2025; 68:5-102. [PMID: 39060615 DOI: 10.1007/s11427-023-2561-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 04/18/2024] [Indexed: 07/28/2024]
Abstract
Cells are the fundamental units of biological systems and exhibit unique development trajectories and molecular features. Our exploration of how the genomes orchestrate the formation and maintenance of each cell, and control the cellular phenotypes of various organismsis, is both captivating and intricate. Since the inception of the first single-cell RNA technology, technologies related to single-cell sequencing have experienced rapid advancements in recent years. These technologies have expanded horizontally to include single-cell genome, epigenome, proteome, and metabolome, while vertically, they have progressed to integrate multiple omics data and incorporate additional information such as spatial scRNA-seq and CRISPR screening. Single-cell omics represent a groundbreaking advancement in the biomedical field, offering profound insights into the understanding of complex diseases, including cancers. Here, we comprehensively summarize recent advances in single-cell omics technologies, with a specific focus on the methodology section. This overview aims to guide researchers in selecting appropriate methods for single-cell sequencing and related data analysis.
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Affiliation(s)
- Fengying Sun
- Department of Clinical Laboratory, the Affiliated Wuhu Hospital of East China Normal University (The Second People's Hospital of Wuhu City), Wuhu, 241000, China
| | - Haoyan Li
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Dongqing Sun
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Frontier Science Center for Stem Cells, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Shaliu Fu
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Research Institute of Intelligent Computing, Zhejiang Lab, Hangzhou, 311121, China
- Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai, 201210, China
| | - Lei Gu
- Center for Single-cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xin Shao
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
- National Key Laboratory of Chinese Medicine Modernization, Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing, 314103, China
| | - Qinqin Wang
- Center for Single-cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xin Dong
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Frontier Science Center for Stem Cells, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Bin Duan
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Research Institute of Intelligent Computing, Zhejiang Lab, Hangzhou, 311121, China
- Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai, 201210, China
| | - Feiyang Xing
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China
- Frontier Science Center for Stem Cells, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Jun Wu
- Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, the Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Minmin Xiao
- Department of Clinical Laboratory, the Affiliated Wuhu Hospital of East China Normal University (The Second People's Hospital of Wuhu City), Wuhu, 241000, China.
| | - Fangqing Zhao
- Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Jing-Dong J Han
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China.
| | - Qi Liu
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China.
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China.
- Research Institute of Intelligent Computing, Zhejiang Lab, Hangzhou, 311121, China.
- Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai, 201210, China.
| | - Xiaohui Fan
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
- National Key Laboratory of Chinese Medicine Modernization, Innovation Center of Yangtze River Delta, Zhejiang University, Jiaxing, 314103, China.
- Zhejiang Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, China.
| | - Chen Li
- Center for Single-cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Chenfei Wang
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department, Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200082, China.
- Frontier Science Center for Stem Cells, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Tieliu Shi
- Department of Clinical Laboratory, the Affiliated Wuhu Hospital of East China Normal University (The Second People's Hospital of Wuhu City), Wuhu, 241000, China.
- Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, the Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
- Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE, School of Statistics, East China Normal University, Shanghai, 200062, China.
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Keener RM, Shi S, Dalapati T, Wang L, Reinoso-Vizcaino NM, Luftig MA, Miller SI, Wilson TJ, Ko DC. Human genetic variation reveals FCRL3 is a lymphocyte receptor for Yersinia pestis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.12.05.626452. [PMID: 39677730 PMCID: PMC11643160 DOI: 10.1101/2024.12.05.626452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2024]
Abstract
Yersinia pestis is the gram-negative bacterium responsible for plague, one of the deadliest and most feared diseases in human history. This bacterium is known to infect phagocytic cells, such as dendritic cells and macrophages, but interactions with non-phagocytic cells of the adaptive immune system are frequently overlooked despite the importance they likely hold for human infection. To discover human genetic determinants of Y. pestis infection, we utilized nearly a thousand genetically diverse lymphoblastoid cell lines in a cellular genome-wide association study method called Hi-HOST (High-throughput Human in-vitrO Susceptibility Testing). We identified a nonsynonymous SNP, rs2282284, in Fc receptor like 3 (FCRL3) associated with bacterial invasion of host cells (p=9×10-8). FCRL3 belongs to the immunoglobulin superfamily and is primarily expressed in lymphocytes. rs2282284 is within a tyrosine-based signaling motif, causing an asparagine-to-serine mutation (N721S) in the most common FCRL3 isoform. Overexpression of FCRL3 facilitated attachment and invasion of non-opsonized Y. pestis. Additionally, FCRL3 colocalized with Y. pestis at sites of cellular attachment, suggesting FCRL3 is a receptor for Y. pestis. These properties were variably conserved across the FCRL family, revealing molecular requirements of attachment and invasion, including an Ig-like C2 domain and a SYK interaction motif. Direct binding was confirmed with purified FCRL5 extracellular domain. Following attachment, invasion of Y. pestis was dependent on SYK and decreased with the N721S mutation. Unexpectedly, this same variant is associated with risk of chronic hepatitis C virus infection in BioBank Japan. Thus, Y. pestis hijacks FCRL proteins, possibly taking advantage of an immune receptor to create a lymphocyte niche during infection.
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Affiliation(s)
- Rachel M. Keener
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC, USA
- University Program in Genetics and Genomics, Duke University, Durham, NC, USA
| | - Sam Shi
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC, USA
| | - Trisha Dalapati
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC, USA
| | - Liuyang Wang
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC, USA
| | | | - Micah A. Luftig
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC, USA
| | - Samuel I. Miller
- Departments of Genome Sciences, Medicine, and Microbiology, U of Washington, Seattle, WA, USA
| | | | - Dennis C. Ko
- Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC, USA
- University Program in Genetics and Genomics, Duke University, Durham, NC, USA
- Division of Infectious Diseases, Department of Medicine, School of Medicine, Duke University, Durham, NC, USA
- Lead Contact
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Quan M, Zhang H, Han X, Ba Y, Cui X, Bi Y, Yi L, Li B. Single-Cell RNA Sequencing Reveals Transcriptional Landscape of Neutrophils and Highlights the Role of TREM-1 in EAE. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2024; 11:e200278. [PMID: 38954781 PMCID: PMC11221915 DOI: 10.1212/nxi.0000000000200278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 05/06/2024] [Indexed: 07/04/2024]
Abstract
BACKGROUND AND OBJECTIVES Neutrophils, underestimated in multiple sclerosis (MS), are gaining increased attention for their significant functions in patients with MS and the experimental autoimmune encephalomyelitis (EAE) animal model. However, the precise role of neutrophils in cervical lymph nodes (CLNs), the primary CNS-draining lymph nodes where the autoimmune response is initiated during the progression of EAE, remains poorly understood. METHODS Applying single-cell RNA sequencing (scRNA-seq), we constructed a comprehensive immune cell atlas of CLNs during development of EAE. Through this atlas, we concentrated on and uncovered the transcriptional landscape, phenotypic and functional heterogeneity of neutrophils, and their crosstalk with immune cells within CLNs in the neuroinflammatory processes in EAE. RESULTS Notably, we observed a substantial increase in the neutrophil population in EAE mice, with a particular emphasis on the significant rise within the CLNs. Neutrophils in CLNs were categorized into 3 subtypes, and we explored the specific roles and developmental trajectories of each distinct neutrophil subtype. Neutrophils were found to engage in extensive interactions with other immune cells, playing crucial roles in T-cell activation. Moreover, our findings highlighted the strong migratory ability of neutrophils to CLNs, partly regulated by triggering the receptor expressed on myeloid cells 1 (TREM-1). Inhibiting TREM1 with LR12 prevents neutrophil migration both in vivo and in vitro. In addition, in patients with MS, we confirmed an increase in peripheral neutrophils with an upregulation of TREM-1. DISCUSSION Our research provides a comprehensive and precise single-cell atlas of CLNs in EAE, highlighting the role of neutrophils in regulating the periphery immune response. In addition, TREM-1 emerged as an essential regulator of neutrophil migration to CLNs, holding promise as a potential therapeutic target in MS.
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Affiliation(s)
- Moyuan Quan
- From the Department of Neurology (M.Q., H.Z., L.Y., B.L.), The Second Hospital of Hebei Medical University; the Key Laboratory of Hebei Neurology, Hebei Medical University, Ministry of Education, (M.Q., H.Z., L.Y., B.L.); and the Key Laboratory of Neurology of Hebei Province, (M.Q., H.Z., L.Y., B.L.), Shijiazhuang, Hebei, China; Department of Neurology (X.H.), Zhongshan People's Hospital, China; OE Biotech Co. (Yongbing Ba), Ltd. Shanghai, China; and School of Basic Medicine (X.C., Yanwei Bi), Hebei Medical University, Shijiazhuang, China
| | - Huining Zhang
- From the Department of Neurology (M.Q., H.Z., L.Y., B.L.), The Second Hospital of Hebei Medical University; the Key Laboratory of Hebei Neurology, Hebei Medical University, Ministry of Education, (M.Q., H.Z., L.Y., B.L.); and the Key Laboratory of Neurology of Hebei Province, (M.Q., H.Z., L.Y., B.L.), Shijiazhuang, Hebei, China; Department of Neurology (X.H.), Zhongshan People's Hospital, China; OE Biotech Co. (Yongbing Ba), Ltd. Shanghai, China; and School of Basic Medicine (X.C., Yanwei Bi), Hebei Medical University, Shijiazhuang, China
| | - Xianxian Han
- From the Department of Neurology (M.Q., H.Z., L.Y., B.L.), The Second Hospital of Hebei Medical University; the Key Laboratory of Hebei Neurology, Hebei Medical University, Ministry of Education, (M.Q., H.Z., L.Y., B.L.); and the Key Laboratory of Neurology of Hebei Province, (M.Q., H.Z., L.Y., B.L.), Shijiazhuang, Hebei, China; Department of Neurology (X.H.), Zhongshan People's Hospital, China; OE Biotech Co. (Yongbing Ba), Ltd. Shanghai, China; and School of Basic Medicine (X.C., Yanwei Bi), Hebei Medical University, Shijiazhuang, China
| | - Yongbing Ba
- From the Department of Neurology (M.Q., H.Z., L.Y., B.L.), The Second Hospital of Hebei Medical University; the Key Laboratory of Hebei Neurology, Hebei Medical University, Ministry of Education, (M.Q., H.Z., L.Y., B.L.); and the Key Laboratory of Neurology of Hebei Province, (M.Q., H.Z., L.Y., B.L.), Shijiazhuang, Hebei, China; Department of Neurology (X.H.), Zhongshan People's Hospital, China; OE Biotech Co. (Yongbing Ba), Ltd. Shanghai, China; and School of Basic Medicine (X.C., Yanwei Bi), Hebei Medical University, Shijiazhuang, China
| | - Xiaoyang Cui
- From the Department of Neurology (M.Q., H.Z., L.Y., B.L.), The Second Hospital of Hebei Medical University; the Key Laboratory of Hebei Neurology, Hebei Medical University, Ministry of Education, (M.Q., H.Z., L.Y., B.L.); and the Key Laboratory of Neurology of Hebei Province, (M.Q., H.Z., L.Y., B.L.), Shijiazhuang, Hebei, China; Department of Neurology (X.H.), Zhongshan People's Hospital, China; OE Biotech Co. (Yongbing Ba), Ltd. Shanghai, China; and School of Basic Medicine (X.C., Yanwei Bi), Hebei Medical University, Shijiazhuang, China
| | - Yanwei Bi
- From the Department of Neurology (M.Q., H.Z., L.Y., B.L.), The Second Hospital of Hebei Medical University; the Key Laboratory of Hebei Neurology, Hebei Medical University, Ministry of Education, (M.Q., H.Z., L.Y., B.L.); and the Key Laboratory of Neurology of Hebei Province, (M.Q., H.Z., L.Y., B.L.), Shijiazhuang, Hebei, China; Department of Neurology (X.H.), Zhongshan People's Hospital, China; OE Biotech Co. (Yongbing Ba), Ltd. Shanghai, China; and School of Basic Medicine (X.C., Yanwei Bi), Hebei Medical University, Shijiazhuang, China
| | - Le Yi
- From the Department of Neurology (M.Q., H.Z., L.Y., B.L.), The Second Hospital of Hebei Medical University; the Key Laboratory of Hebei Neurology, Hebei Medical University, Ministry of Education, (M.Q., H.Z., L.Y., B.L.); and the Key Laboratory of Neurology of Hebei Province, (M.Q., H.Z., L.Y., B.L.), Shijiazhuang, Hebei, China; Department of Neurology (X.H.), Zhongshan People's Hospital, China; OE Biotech Co. (Yongbing Ba), Ltd. Shanghai, China; and School of Basic Medicine (X.C., Yanwei Bi), Hebei Medical University, Shijiazhuang, China
| | - Bin Li
- From the Department of Neurology (M.Q., H.Z., L.Y., B.L.), The Second Hospital of Hebei Medical University; the Key Laboratory of Hebei Neurology, Hebei Medical University, Ministry of Education, (M.Q., H.Z., L.Y., B.L.); and the Key Laboratory of Neurology of Hebei Province, (M.Q., H.Z., L.Y., B.L.), Shijiazhuang, Hebei, China; Department of Neurology (X.H.), Zhongshan People's Hospital, China; OE Biotech Co. (Yongbing Ba), Ltd. Shanghai, China; and School of Basic Medicine (X.C., Yanwei Bi), Hebei Medical University, Shijiazhuang, China
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Cao S, Wang T, Ren Y, Wu G, Zhang Y, Tan Y, Zhou Y, Chen H, Zhang Y, Song Y, Yang R, Du Z. A protein O-GlcNAc glycosyltransferase regulates the antioxidative response in Yersinia pestis. Nat Commun 2024; 15:7062. [PMID: 39152136 PMCID: PMC11329713 DOI: 10.1038/s41467-024-50959-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 07/23/2024] [Indexed: 08/19/2024] Open
Abstract
Post-translational addition of O-linked N-acetylglucosamine (O-GlcNAc) to proteins is commonly associated with a variety of stress responses and cellular processes in eukaryotes, but its potential roles in bacteria are unclear. Here, we show that protein HmwC acts as an O-GlcNAc transferase (OGT) responsible for O-GlcNAcylation of multiple proteins in Yersinia pestis, a flea-borne pathogen responsible for plague. We identify 64 O-GlcNAcylated proteins (comprising 65 sites) with differential abundance under conditions mimicking the mammalian host (Mh) and flea vector (Fv) environments. Deletion of hmwC, encoding a putative OGT, structurally distinct from any existing member of the GT41 family, results in reduced O-GlcNAcylation, reduced growth, and alterations in virulence properties and survival under stress. Purified HmwC can modify target proteins in vitro using UDP-GlcNAc as sugar donor. One of the target proteins, OsdY, promotes Y. pestis survival under oxidative stress conditions. Thus, our results support that regulation of antioxidative responses through O-GlcNAcylation may be a conserved process shared by prokaryotes and eukaryotes.
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Affiliation(s)
- Shiyang Cao
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China
| | - Tong Wang
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China
| | - Yifan Ren
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China
| | - Gengshan Wu
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China
| | - Yuan Zhang
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China
| | - Yafang Tan
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China
| | - Yazhou Zhou
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China
| | - Hongyan Chen
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China
| | - Yu Zhang
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China
| | - Yajun Song
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China
| | - Ruifu Yang
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China.
| | - Zongmin Du
- State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, China.
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Yan Y, Luo H, Qin Y, Yan T, Jia J, Hou Y, Liu Z, Zhai J, Long Y, Deng X, Cao X. Light controls mesophyll-specific post-transcriptional splicing of photoregulatory genes by AtPRMT5. Proc Natl Acad Sci U S A 2024; 121:e2317408121. [PMID: 38285953 PMCID: PMC10861865 DOI: 10.1073/pnas.2317408121] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 12/29/2023] [Indexed: 01/31/2024] Open
Abstract
Light plays a central role in plant growth and development, providing an energy source and governing various aspects of plant morphology. Previous study showed that many polyadenylated full-length RNA molecules within the nucleus contain unspliced introns (post-transcriptionally spliced introns, PTS introns), which may play a role in rapidly responding to changes in environmental signals. However, the mechanism underlying post-transcriptional regulation during initial light exposure of young, etiolated seedlings remains elusive. In this study, we used FLEP-seq2, a Nanopore-based sequencing technique, to analyze nuclear RNAs in Arabidopsis (Arabidopsis thaliana) seedlings under different light conditions and found numerous light-responsive PTS introns. We also used single-nucleus RNA sequencing (snRNA-seq) to profile transcripts in single nucleus and investigate the distribution of light-responsive PTS introns across distinct cell types. We established that light-induced PTS introns are predominant in mesophyll cells during seedling de-etiolation following exposure of etiolated seedlings to light. We further demonstrated the involvement of the splicing-related factor A. thaliana PROTEIN ARGININE METHYLTRANSFERASE 5 (AtPRMT5), working in concert with the E3 ubiquitin ligase CONSTITUTIVE PHOTOMORPHOGENIC 1 (COP1), a critical repressor of light signaling pathways. We showed that these two proteins orchestrate light-induced PTS events in mesophyll cells and facilitate chloroplast development, photosynthesis, and morphogenesis in response to ever-changing light conditions. These findings provide crucial insights into the intricate mechanisms underlying plant acclimation to light at the cell-type level.
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Affiliation(s)
- Yan Yan
- Key Laboratory of Seed Innovation, State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing100101, China
| | - Haofei Luo
- Key Laboratory of Seed Innovation, State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing100101, China
| | - Yuwei Qin
- Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen518055, China
| | - Tingting Yan
- Key Laboratory of Tropical Fruit Tree Biology of Hainan Province, Institute of Tropical Fruit Trees, Hainan Academy of Agricultural Sciences, Haikou571100, China
| | - Jinbu Jia
- Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen518055, China
| | - Yifeng Hou
- Key Laboratory of Seed Innovation, State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing100101, China
| | - Zhijian Liu
- Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen518055, China
| | - Jixian Zhai
- Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen518055, China
| | - Yanping Long
- Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen518055, China
| | - Xian Deng
- Key Laboratory of Seed Innovation, State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing100101, China
| | - Xiaofeng Cao
- Key Laboratory of Seed Innovation, State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing100101, China
- University of Chinese Academy of Sciences, Beijing100049, China
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Xing T, Yao WL, Zhao HY, Wang J, Zhang YY, Lv M, Xu LP, Zhang XH, Huang XJ, Kong Y. Bone marrow macrophages are involved in the ineffective hematopoiesis of myelodysplastic syndromes. J Cell Physiol 2024; 239:e31129. [PMID: 38192063 DOI: 10.1002/jcp.31129] [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: 06/15/2023] [Revised: 09/12/2023] [Accepted: 09/14/2023] [Indexed: 01/10/2024]
Abstract
Myelodysplastic syndromes (MDS) are a group of heterogeneous myeloid clonal disorders characterized by ineffective hematopoiesis. Accumulating evidence has shown that macrophages (MΦs) are important components in the regulation of tumor progression and hematopoietic stem cells (HSCs). However, the roles of bone marrow (BM) MΦs in regulating normal and malignant hematopoiesis in different clinical stages of MDS are largely unknown. Age-paired patients with lower-risk MDS (N = 15), higher-risk MDS (N = 15), de novo acute myeloid leukemia (AML) (N = 15), and healthy donors (HDs) (N = 15) were enrolled. Flow cytometry analysis showed increased pro-inflammatory monocyte subsets and a decreased classically activated (M1) MΦs/alternatively activated (M2) MΦs ratio in the BM of patients with higher-risk MDS compared to lower-risk MDS. BM MФs from patients with higher-risk MDS and AML showed impaired phagocytosis activity but increased migration compared with lower-risk MDS group. AML BM MΦs showed markedly higher S100A8/A9 levels than lower-risk MDS BM MΦs. More importantly, coculture experiments suggested that the HSC supporting abilities of BM MΦs from patients with higher-risk MDS decreased, whereas the malignant cell supporting abilities increased compared with lower-risk MDS. Gene Ontology enrichment comparing BM MΦs from lower-risk MDS and higher-risk MDS for genes was involved in hematopoiesis- and immunity-related pathways. Our results suggest that BM MΦs are involved in ineffective hematopoiesis in patients with MDS, which indicates that repairing aberrant BM MΦs may represent a promising therapeutic approach for patients with MDS.
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Affiliation(s)
- Tong Xing
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Collaborative Innovation Center of Hematology, Peking University, Beijing, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Wei-Li Yao
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Hong-Yan Zhao
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Jing Wang
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Yuan-Yuan Zhang
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Meng Lv
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Lan-Ping Xu
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Xiao-Hui Zhang
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Collaborative Innovation Center of Hematology, Peking University, Beijing, China
| | - Xiao-Jun Huang
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Collaborative Innovation Center of Hematology, Peking University, Beijing, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
| | - Yuan Kong
- Peking University People's Hospital, Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Collaborative Innovation Center of Hematology, Peking University, Beijing, China
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7
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Zheng H, Huang S, Zhang J, Zhang R, Wang J, Yuan J, Li A, Yang X, Zhang Z. C1M2: a universal algorithm for 3D instance segmentation, annotation, and quantification of irregular cells. SCIENCE CHINA. LIFE SCIENCES 2023; 66:2415-2428. [PMID: 37243949 DOI: 10.1007/s11427-022-2327-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Accepted: 03/17/2023] [Indexed: 05/29/2023]
Abstract
Cell instance segmentation is a fundamental task for many biological applications, especially for packed cells in three-dimensional (3D) microscope images that can fully display cellular morphology. Image processing algorithms based on neural networks and feature engineering have enabled great progress in two-dimensional (2D) instance segmentation. However, current methods cannot achieve high segmentation accuracy for irregular cells in 3D images. In this study, we introduce a universal, morphology-based 3D instance segmentation algorithm called Crop Once Merge Twice (C1M2), which can segment cells from a wide range of image types and does not require nucleus images. C1M2 can be extended to quantify the fluorescence intensity of fluorescent proteins and antibodies and automatically annotate their expression levels in individual cells. Our results suggest that C1M2 can serve as a tissue cytometry for 3D histopathological assays by quantifying fluorescence intensity with spatial localization and morphological information.
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Affiliation(s)
- Hao Zheng
- Britton Chance Center and MOE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Songlin Huang
- Britton Chance Center and MOE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, 430074, China
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, 570228, China
| | - Jing Zhang
- Britton Chance Center and MOE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Ren Zhang
- Britton Chance Center and MOE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Jialu Wang
- Britton Chance Center and MOE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Jing Yuan
- Britton Chance Center and MOE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Anan Li
- Britton Chance Center and MOE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Xin Yang
- School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, 430074, China.
| | - Zhihong Zhang
- Britton Chance Center and MOE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, 430074, China.
- Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, 570228, China.
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8
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Chaaban T, Mohsen Y, Ezzeddine Z, Ghssein G. Overview of Yersinia pestis Metallophores: Yersiniabactin and Yersinopine. BIOLOGY 2023; 12:598. [PMID: 37106798 PMCID: PMC10136090 DOI: 10.3390/biology12040598] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 04/05/2023] [Accepted: 04/12/2023] [Indexed: 04/29/2023]
Abstract
The pathogenic anaerobic bacteria Yersinia pestis (Y. pestis), which is well known as the plague causative agent, has the ability to escape or inhibit innate immune system responses, which can result in host death even before the activation of adaptive responses. Bites from infected fleas in nature transmit Y. pestis between mammalian hosts causing bubonic plague. It was recognized that a host's ability to retain iron is essential in fighting invading pathogens. To proliferate during infection, Y. pestis, like most bacteria, has various iron transporters that enable it to acquire iron from its hosts. The siderophore-dependent iron transport system was found to be crucial for the pathogenesis of this bacterium. Siderophores are low-molecular-weight metabolites with a high affinity for Fe3+. These compounds are produced in the surrounding environment to chelate iron. The siderophore secreted by Y. pestis is yersiniabactin (Ybt). Another metallophore produced by this bacterium, yersinopine, is of the opine type and shows similarities with both staphylopine and pseudopaline produced by Staphylococcus aureus and Pseudomonas aeruginosa, respectively. This paper sheds light on the most important aspects of the two Y. pestis metallophores as well as aerobactin a siderophore no longer secreted by this bacterium due to frameshift mutation in its genome.
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Affiliation(s)
- Taghrid Chaaban
- Nursing Sciences Department, Faculty of Public Health, Islamic University of Lebanon, Khalde P.O. Box 30014, Lebanon
- Nursing Sciences Research Chair, Laboratory Educations and Health Practices (LEPS), (EA 3412), UFR SMBH, University Paris 13, Sorbonne Paris Cite, F-93017 Bobigny, France
| | - Yehya Mohsen
- Department of Medical Laboratory Technology, College of Health and Medical Technologies, Al-Ayen University, Nasiriyah 64001, Iraq
| | - Zeinab Ezzeddine
- Laboratory Sciences Department, Faculty of Public Health, Islamic University of Lebanon (IUL), Khalde P.O. Box 30014, Lebanon
- Faculty of Sciences V, Lebanese University, Nabatieh 1700, Lebanon
| | - Ghassan Ghssein
- Laboratory Sciences Department, Faculty of Public Health, Islamic University of Lebanon (IUL), Khalde P.O. Box 30014, Lebanon
- Faculty of Sciences V, Lebanese University, Nabatieh 1700, Lebanon
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9
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Chen S, Duan B, Zhu C, Tang C, Wang S, Gao Y, Fu S, Fan L, Yang Q, Liu Q. Privacy-preserving integration of multiple institutional data for single-cell type identification with scPrivacy. SCIENCE CHINA. LIFE SCIENCES 2022; 66:1183-1195. [PMID: 36543995 PMCID: PMC9771767 DOI: 10.1007/s11427-022-2224-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Accepted: 09/15/2022] [Indexed: 12/24/2022]
Abstract
The rapid accumulation of large-scale single-cell RNA-seq datasets from multiple institutions presents remarkable opportunities for automatically cell annotations through integrative analyses. However, the privacy issue has existed but being ignored, since we are limited to access and utilize all the reference datasets distributed in different institutions globally due to the prohibited data transmission across institutions by data regulation laws. To this end, we present scPrivacy, which is the first and generalized automatically single-cell type identification prototype to facilitate single cell annotations in a data privacy-preserving collaboration manner. We evaluated scPrivacy on a comprehensive set of publicly available benchmark datasets for single-cell type identification to stimulate the scenario that the reference datasets are rapidly generated and distributed in multiple institutions, while they are prohibited to be integrated directly or exposed to each other due to the data privacy regulations, demonstrating its effectiveness, time efficiency and robustness for privacy-preserving integration of multiple institutional datasets in single cell annotations.
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Affiliation(s)
- Shaoqi Chen
- grid.24516.340000000123704535Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department of Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200092 China
| | - Bin Duan
- grid.24516.340000000123704535Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department of Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200092 China
| | - Chenyu Zhu
- grid.24516.340000000123704535Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department of Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200092 China
| | - Chen Tang
- grid.24516.340000000123704535Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department of Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200092 China
| | - Shuguang Wang
- grid.24516.340000000123704535Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department of Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200092 China
| | - Yicheng Gao
- grid.24516.340000000123704535Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department of Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200092 China
| | - Shaliu Fu
- grid.24516.340000000123704535Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department of Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200092 China
| | - Lixin Fan
- Department of AI, WeBank, Shenzhen, 518055 China
| | - Qiang Yang
- Department of AI, WeBank, Shenzhen, 518055 China
| | - Qi Liu
- grid.24516.340000000123704535Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department of Tongji Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200092 China ,grid.24516.340000000123704535Translational Medical Center for Stem Cell Therapy and Institution for Regenerative Medicine, Shanghai East Hospital, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, 200092 China ,Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai, 201210 China
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