10 research outputs found
A spatially resolved atlas of the human lung characterizes a gland-associated immune niche
Single-cell transcriptomics has allowed unprecedented resolution of cell types/states in the human lung, but their spatial context is less well defined. To (re)define tissue architecture of lung and airways, we profiled five proximal-to-distal locations of healthy human lungs in depth using multi-omic single cell/nuclei and spatial transcriptomics (queryable at lungcellatlas.org ). Using computational data integration and analysis, we extend beyond the suspension cell paradigm and discover macro and micro-anatomical tissue compartments including previously unannotated cell types in the epithelial, vascular, stromal and nerve bundle micro-environments. We identify and implicate peribronchial fibroblasts in lung disease. Importantly, we discover and validate a survival niche for IgA plasma cells in the airway submucosal glands (SMG). We show that gland epithelial cells recruit B cells and IgA plasma cells, and promote longevity and antibody secretion locally through expression of CCL28, APRIL and IL-6. This new 'gland-associated immune niche' has implications for respiratory health
Local and systemic responses to SARS-CoV-2 infection in children and adults.
It is not fully understood why COVID-19 is typically milder in children1-3. Here, to examine the differences between children and adults in their response to SARS-CoV-2 infection, we analysed paediatric and adult patients with COVID-19 as well as healthy control individuals (total nâ=â93) using single-cell multi-omic profiling of matched nasal, tracheal, bronchial and blood samples. In the airways of healthy paediatric individuals, we observed cells that were already in an interferon-activated state, which after SARS-CoV-2 infection was further induced especially in airway immune cells. We postulate that higher paediatric innate interferon responses restrict viral replication and disease progression. The systemic response in children was characterized by increases in naive lymphocytes and a depletion of natural killer cells, whereas, in adults, cytotoxic T cells and interferon-stimulated subpopulations were significantly increased. We provide evidence that dendritic cells initiate interferon signalling in early infection, and identify epithelial cell states associated with COVID-19 and age. Our matching nasal and blood data show a strong interferon response in the airways with the induction of systemic interferon-stimulated populations, which were substantially reduced in paediatric patients. Together, we provide several mechanisms that explain the milder clinical syndrome observed in children
Towards a Human Cell Atlas: Taking Notes from the Past
Comprehensively characterizing the cellular composition and organization of tissues has been a long-term scientific challenge that has limited our ability to study fundamental and clinical aspects of human physiology. The Human Cell Atlas (HCA) is a global collaborative effort to create a reference map of all human cells as a basis for both understanding human health and diagnosing, monitoring, and treating disease. Many aspects of the HCA are analogous to the Human Genome Project (HGP), whose completion presents a major milestone in modern biology. To commemorate the HGP's 20-year anniversary of completion, we discuss the launch of the HCA in light of the HGP, and highlight recent progress by the HCA consortium
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Multi-modal generative modeling for joint analysis of single-cell T cell receptor and gene expression data
Acknowledgements: This work was supported by the BMBF grant DeepTCR (#031L0290A), by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) (Projektnummer 490846870âTRR355/1 TPZ02), by the Helmholtz Associationâs Initiative and Networking Fund on the HAICORE@FZJ partition, and Helmholtz International Lab âCausal Cell Dynamicsâ awarded to B.S. M.L. appreciates F.J.T for enabling and supporting him to conduct this research. Y.A., F.D., and I.B.P. are supported by the Helmholtz Association under the joint research school âMunich School for Data Science - MUDSâ. M.L. and F.D. acknowledge financial support from the Joachim Herz Stiftung. L.M.D is supported by European Unionâs Horizon 2020 research and innovation program under the Marie SkĆodowska-Curie grant agreement No 955321. Figure 1 and Supplementary Fig. 1 were partially created with BioRender.com.Funder: Joachim Herz Stiftung (Joachim Herz Foundation); doi: https://doi.org/10.13039/100008662Funder: This work was supported by the BMBF grant DeepTCR (#031L0290A), by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) (Projektnummer 490846870 - TRR355/1 TPZ02), by the Helmholtz Associationâs Initiative and Networking Fund on the HAICORE@FZJ partition, and Helmholtz International Lab âCausal Cell Dynamicsâ. Y.A., F.D., and I.B.P. are supported by the Helmholtz Association under the joint research school âMunich School for Data Science - MUDSâ. M.L. and F.D. acknowledge financial support from the Joachim Herz Stiftung. L.M.D is supported by European Unionâs Horizon 2020 research and innovation program under the Marie SkĆodowska-Curie grant agreement No 955321.AbstractRecent advances in single-cell immune profiling have enabled the simultaneous measurement of transcriptome and T cell receptor (TCR) sequences, offering great potential for studying immune responses at the cellular level. However, integrating these diverse modalities across datasets is challenging due to their unique data characteristics and technical variations. Here, to address this, we develop the multimodal generative model mvTCR to fuse modality-specific information across transcriptome and TCR into a shared representation. Our analysis demonstrates the added value of multimodal over unimodal approaches to capture antigen specificity. Notably, we use mvTCR to distinguish T cell subpopulations binding to SARS-CoV-2 antigens from bystander cells. Furthermore, when combined with reference mapping approaches, mvTCR can map newly generated datasets to extensive T cell references, facilitating knowledge transfer. In summary, we envision mvTCR to enable a scalable analysis of multimodal immune profiling data and advance our understanding of immune responses.</jats:p
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Dandelion uses the single-cell adaptive immune receptor repertoire to explore lymphocyte developmental origins.
Acknowledgements: We acknowledge the Cellular Genetics IT, New Pipeline Group and DNA pipelines of Sanger Institute. K.B.M. and S.A.T. are supported by Wellcome (WT211276/Z/18/Z, 108413/A/15/D, Sanger core grant WT206194 and Sanger QQ award 220540/Z/20/A). K.B.M. acknowledges funding from the MRC (MR/S035907/1). M.H. is supported by Wellcome (grant WT107931/Z/15/Z), the Lister Institute for Preventive Medicine, NIHR, and the Newcastle Biomedical Research Centre. S.A.T. is supported by an ERC Consolidator Grant ThDEFINE (646794). C.S. is supported by a Wellcome Trust Ph.D. Fellowship for Clinicians. Z.K.T. and M.R.C. are supported by a Medical Research Council Research Project Grant (MR/S035842/1). M.R.C. is supported by the National Institute of Health Research (NIHR) Research Professorship (RP-2017-08-ST2-002), a Wellcome Investigator Award (220268/Z/20/Z), the Blood and Transplant Research Unit in Organ Donation and the NIHR Cambridge Biomedical Research Centre. This publication is part of the Human Cell Atlas (www.humancellatlas.org/publications). We would like to thank the reviewers for their thoughtful comments and suggestions, which helped us to improve the quality of the manuscript.Assessment of single-cell gene expression (single-cell RNA sequencing) and adaptive immune receptor (AIR) sequencing (scVDJ-seq) has been invaluable in studying lymphocyte biology. Here we introduce Dandelion, a computational pipeline for scVDJ-seq analysis. It enables the application of standard V(D)J analysis workflows to single-cell datasets, delivering improved V(D)J contig annotation and the identification of nonproductive and partially spliced contigs. We devised a strategy to create an AIR feature space that can be used for both differential V(D)J usage analysis and pseudotime trajectory inference. The application of Dandelion improved the alignment of human thymic development trajectories of double-positive T cells to mature single-positive CD4/CD8 T cells, generating predictions of factors regulating lineage commitment. Dandelion analysis of other cell compartments provided insights into the origins of human B1 cells and ILC/NK cell development, illustrating the power of our approach. Dandelion is available at https://www.github.com/zktuong/dandelion
Obesity Is Associated with Attenuated Tissue Immunity in COVID-19.
Rationale: Obesity affects 40% of U.S. adults, is associated with a proinflammatory state, and presents a significant risk factor for the development of severe coronavirus disease (COVID-19). To date, there is limited information on how obesity might affect immune cell responses in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Objectives: To determine the impact of obesity on respiratory tract immunity in COVID-19 across the human lifespan. Methods: We analyzed single-cell transcriptomes from BAL in three ventilated adult cohorts with (nâ=â24) or without (nâ=â9) COVID-19 from nasal immune cells in children with (nâ=â14) or without (nâ=â19) COVID-19, and from peripheral blood mononuclear cells in an independent adult COVID-19 cohort (nâ=â42), comparing obese and nonobese subjects. Measurements and Main Results: Surprisingly, we found that obese adult subjects had attenuated lung immune or inflammatory responses in SARS-CoV-2 infection, with decreased expression of IFN-α, IFN-Îł, and TNF-α (tumor necrosis factor α) response gene signatures in almost all lung epithelial and immune cell subsets, and lower expression of IFNG and TNF in specific lung immune cells. Peripheral blood immune cells in an independent adult cohort showed a similar but less marked reduction in type-I IFN and IFNÎł response genes, as well as decreased serum IFNα, in obese patients with SARS-CoV-2. Nasal immune cells from obese children with COVID-19 also showed reduced enrichment of IFN-α and IFN-Îł response genes. Conclusions: These findings show blunted tissue immune responses in obese patients with COVID-19, with implications for treatment stratification, supporting the specific application of inhaled recombinant type-I IFNs in this vulnerable subset.GB is funded by a Wellcome Strategic Scientific award (WT211276/Z/18/Z). ZKT and MRC are supported by a Medical Research Council Research Project Grant (MR/S035842/1). JRF and MRC are supported by the National Institute of Health Research (NIHR) Blood and Transplant Research Unit in Organ Donation, and NR, MM, GD and MRC by the NIHR Cambridge Biomedical Research Centre. MZN acknowledges funding from the Rutherford Fund Fellowship allocated by the Medical Research Council and the UK Regenerative Medicine Platforms 2 (MR/5005579/1). KBM acknowledges funding from Wellcome (WT211276/Z/18/Z and Sanger core grant WT206194), the Chan Zuckerberg Foundation (grants 2017-174169 and 2019-202654) and the European Unionâs Horizon 2020 research and innovation programme under grant agreement No 874656. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care. The CL3 for this research was partly funded by the NIHR AMR Research Capital Funding Scheme [NIHR200640]. We are grateful to the Evelyn Trust (20/75), Addenbrookeâs Charitable Trust, Cambridge University Hospitals (12/20A), the NIHR Cambridge Biomedical Research Centre, Rosetrees Trust (M944), Action Medical Research (GN2911) and the UKRI/NIHR through the UK Coronavirus Immunology Consortium (UK-CIC) for their financial support. RGW and AVM are funded by NIH NIAID U19AI35964. Collection of lavage samples in Cambridge was supported by a grant from LifeArc (900244). ACM is supported by a Clinician Scientist Fellowship from the Medical Research Council (MR/V006118/1). MRC and SAG by an NIHR Research Professorship RP-2017-08-ST2-002)
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A spatially resolved atlas of the human lung characterizes a gland-associated immune niche.
Single-cell transcriptomics has allowed unprecedented resolution of cell types/states in the human lung, but their spatial context is less well defined. To (re)define tissue architecture of lung and airways, we profiled five proximal-to-distal locations of healthy human lungs in depth using multi-omic single cell/nuclei and spatial transcriptomics (queryable at lungcellatlas.org ). Using computational data integration and analysis, we extend beyond the suspension cell paradigm and discover macro and micro-anatomical tissue compartments including previously unannotated cell types in the epithelial, vascular, stromal and nerve bundle micro-environments. We identify and implicate peribronchial fibroblasts in lung disease. Importantly, we discover and validate a survival niche for IgA plasma cells in the airway submucosal glands (SMG). We show that gland epithelial cells recruit B cells and IgA plasma cells, and promote longevity and antibody secretion locally through expression of CCL28, APRIL and IL-6. This new 'gland-associated immune niche' has implications for respiratory health
Recommended from our members
A spatially resolved atlas of the human lung characterizes a gland-associated immune niche.
Single-cell transcriptomics has allowed unprecedented resolution of cell types/states in the human lung, but their spatial context is less well defined. To (re)define tissue architecture of lung and airways, we profiled five proximal-to-distal locations of healthy human lungs in depth using multi-omic single cell/nuclei and spatial transcriptomics (queryable at lungcellatlas.org ). Using computational data integration and analysis, we extend beyond the suspension cell paradigm and discover macro and micro-anatomical tissue compartments including previously unannotated cell types in the epithelial, vascular, stromal and nerve bundle micro-environments. We identify and implicate peribronchial fibroblasts in lung disease. Importantly, we discover and validate a survival niche for IgA plasma cells in the airway submucosal glands (SMG). We show that gland epithelial cells recruit B cells and IgA plasma cells, and promote longevity and antibody secretion locally through expression of CCL28, APRIL and IL-6. This new 'gland-associated immune niche' has implications for respiratory health
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Age-specific nasal epithelial responses to SARS-CoV-2 infection.
Funder: Microscopy was performed at the Light Microscopy Core Facility, UCL GOS Institute of Child Health supported by the NIHR GOSH BRC award 17DD08.Funder: This project has been made possible in part by grants 2017-174169 and 2019-202654 from the Chan Zuckerberg Foundation and Sanger core grant WT206194.Children infected with SARS-CoV-2 rarely progress to respiratory failure. However, the risk of mortality in infected people over 85 years of age remains high. Here we investigate differences in the cellular landscape and function of paediatric (70âyears) ex vivo cultured nasal epithelial cells in response to infection with SARS-CoV-2. We show that cell tropism of SARS-CoV-2, and expression of ACE2 and TMPRSS2 in nasal epithelial cell subtypes, differ between age groups. While ciliated cells are viral replication centres across all age groups, a distinct goblet inflammatory subtype emerges in infected paediatric cultures and shows high expression of interferon-stimulated genes and incomplete viral replication. In contrast, older adult cultures infected with SARS-CoV-2 show a proportional increase in basaloid-like cells, which facilitate viral spread and are associated with altered epithelial repair pathways. We confirm age-specific induction of these cell types by integrating data from in vivo COVID-19 studies and validate that our in vitro model recapitulates early epithelial responses to SARS-CoV-2 infection
Single-cell multi-omics analysis of the immune response in COVID-19.
Analysis of human blood immune cells provides insights into the coordinated response to viral infections such as severe acute respiratory syndrome coronavirus 2, which causes coronavirus disease 2019 (COVID-19). We performed single-cell transcriptome, surface proteome and T and B lymphocyte antigen receptor analyses of over 780,000 peripheral blood mononuclear cells from a cross-sectional cohort of 130 patients with varying severities of COVID-19. We identified expansion of nonclassical monocytes expressing complement transcripts (CD16+C1QA/B/C+) that sequester platelets and were predicted to replenish the alveolar macrophage pool in COVID-19. Early, uncommitted CD34+ hematopoietic stem/progenitor cells were primed toward megakaryopoiesis, accompanied by expanded megakaryocyte-committed progenitors and increased platelet activation. Clonally expanded CD8+ T cells and an increased ratio of CD8+ effector T cells to effector memory T cells characterized severe disease, while circulating follicular helper T cells accompanied mild disease. We observed a relative loss of IgA2 in symptomatic disease despite an overall expansion of plasmablasts and plasma cells. Our study highlights the coordinated immune response that contributes to COVID-19 pathogenesis and reveals discrete cellular components that can be targeted for therapy