COVID-19 progression and convalescence in common variable immunodeficiency patients shows incomplete adaptive responses and persistent inflammasome activation

Patients with common variable immunodeficiency (CVID), the most prevalent symptomatic primary immunodeficiency, are characterized by hypogammaglobulinemia, poorly protective vaccine titers and increased susceptibility to infections. New pathogens such as the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of coronavirus disease 2019 (COVID-19), might constitute a particular threat to these immunocompromised patients since many of them experience a slower recovery and do not achieve full response to SARS-CoV-2 vaccines. To define the molecular basis of the altered immune responses caused by SARS-CoV-2 infection in CVID patients, we generated longitudinal single-cell datasets of peripheral blood immune cells along viral infection and recovery. We sampled the same individuals before, during and after SARS-CoV-2 infection to model their specific immune response dynamics while removing donor variability. We observed that COVID-19 CVID patients show defective canonical NF-κB pathway activation and dysregulated expression of BCR-related genes in naïve B cells, as well as enhanced cytotoxic activity but incomplete cytokine response in NK and T cells. Moreover, monocytes from COVID-19 CVID patients show persistent activation of several inflammasome-related genes, including the pyrin and NLRC4 inflammasomes. Our results shed light on the molecular basis of the prolonged clinical manifestations observed in these immunodeficient patients upon SARS-CoV-2 infection, which might illuminate the development of tailored treatments for COVID-19 CVID patients.We thank the CERCA Program/Generalitat de Catalunya and the Josep Carreras Foundation for institutional support. This publication is part of the Human Cell Atlas: www.humancellatlas.org/publications. This study was funded by ”la Caixa” Foundation under the grant agreement LCF/PR/HR22/52420002, Spanish Ministry of Science and Innovation (grant number PID2020-117212RB-I00/AEI/10.13038/501100011033) (E.B.), by the Wellcome Trust Grant 206194 and 108413/A/15/D (R.V.-T.), Instituto de Salud Carlos III (ISCIII), Ref. AC18/00057, associated with i-PAD project (ERARE European Union program) (E.B.), and the Chan Zuckerberg Initiative (grant 2020-216799) (R.V.-T. and E.B.). This publication has also been supported by the Unstoppable campaign of the Josep Carreras Leukaemia Foundation. We are indebted to the donors for participating in this research.N

Automated Image Analysis for Systematic and Quantitative Comparison of Protein Expression within Cell Populations

Protein subcellular localization is a major indicator of protein function, and efforts have been made to systematically determine the localization of each protein in budding yeast using fluorescent tags. Based on the fluorescence microscopy images, subcellular localization of many proteins can be classified automatically using supervised machine learning approaches. Budding yeast has a stereotypical reproduction mode, such that cell-stage is related to the presence and size of a growing bud. In this work, I investigate the benefits of a cell recognition method and image features that utilize prior biological knowledge of budding yeast shape and its cell-stage dependent changes.I show that modeling cell-stage dependency of protein abundance and spatial distribution (expression pattern) within a continuous model for cell growth allows the identification of most previously identified localization patterns in a cluster analysis. Further, I show that similarities between the inferred protein expression patterns explain similarities in protein function better than previous manual categorization of subcellular localization. These results suggest that incorporating prior information about yeast morphology in automated image analysis will yield unprecedented power for pattern discovery in high-resolution, high-throughput microscopy images.Finally, using these new computational methods, I explore cell-to-cell variability in protein abundance and subcellular localization. I define a mean to quantify deviations in subcellular localizations, and find that the method defined is in agreement with previous measurements of cell-to-cell variability in the case of protein abundance. Hence, I show that cell-to-cell spatial variability is a protein expression property, whose measurement is only possible from microscopy images. This measure allows the systematic detection of many classes of such variability, without the use of any prior knowledge about subcellular localization.Ph.D

Spatial multiomics map of trophoblast development in early pregnancy.

Acknowledgements: This publication is part of the Human Cell Atlas. The authors thank the Sanger Cellular Generation and Phenotyping (CGaP) Core Facility and the Sanger Core Sequencing pipeline for support with sample processing and sequencing library preparation; A. Surani for supplying the TSC lines; H. Okae and T. Arima for sharing permission; R. Argelaguet, V. Kleshchevnikov, S. van Dongen, M. Prete and S. Murray for insightful comments and web portal support; T. Porter and the Cellular Genetics wet lab team for experimental support; A. Garcia for graphical images; and A. Maartens for editing. Placental material was provided by the Joint MRC–Human Cell Atlas (MR/S036350/1). The authors are grateful to patients for donating tissue for research. We thank D. Moore and M. Maquinana and staff at Addenbrooke’s Hospital, Cambridge, UK. Supported by Wellcome Sanger core funding (WT206194 and 220540/Z/20/A) and the Wellcome Trust grant ‘Wellcome Strategic Support Science award’ (grant no. 211276/Z/18/Z). M.Y.T. held the Royal Society Dorothy Hodgkin Fellowship (DH160216) and Research Grant for Research Fellows (RGF\R1\180028) during this study and is also supported by funding from the European Research Council under the European Union’s Horizon 2020 research and innovation programme (Grant agreement 853546). A.M. is in receipt of a Wellcome Trust Investigator Award (200841/Z/16/Z).The relationship between the human placenta-the extraembryonic organ made by the fetus, and the decidua-the mucosal layer of the uterus, is essential to nurture and protect the fetus during pregnancy. Extravillous trophoblast cells (EVTs) derived from placental villi infiltrate the decidua, transforming the maternal arteries into high-conductance vessels1. Defects in trophoblast invasion and arterial transformation established during early pregnancy underlie common pregnancy disorders such as pre-eclampsia2. Here we have generated a spatially resolved multiomics single-cell atlas of the entire human maternal-fetal interface including the myometrium, which enables us to resolve the full trajectory of trophoblast differentiation. We have used this cellular map to infer the possible transcription factors mediating EVT invasion and show that they are preserved in in vitro models of EVT differentiation from primary trophoblast organoids3,4 and trophoblast stem cells5. We define the transcriptomes of the final cell states of trophoblast invasion: placental bed giant cells (fused multinucleated EVTs) and endovascular EVTs (which form plugs inside the maternal arteries). We predict the cell-cell communication events contributing to trophoblast invasion and placental bed giant cell formation, and model the dual role of interstitial EVTs and endovascular EVTs in mediating arterial transformation during early pregnancy. Together, our data provide a comprehensive analysis of postimplantation trophoblast differentiation that can be used to inform the design of experimental models of the human placenta in early pregnancy

Spatial multiomics map of trophoblast development in early pregnancy.

The relationship between the human placenta-the extraembryonic organ made by the fetus, and the decidua-the mucosal layer of the uterus, is essential to nurture and protect the fetus during pregnancy. Extravillous trophoblast cells (EVTs) derived from placental villi infiltrate the decidua, transforming the maternal arteries into high-conductance vessels1. Defects in trophoblast invasion and arterial transformation established during early pregnancy underlie common pregnancy disorders such as pre-eclampsia2. Here we have generated a spatially resolved multiomics single-cell atlas of the entire human maternal-fetal interface including the myometrium, which enables us to resolve the full trajectory of trophoblast differentiation. We have used this cellular map to infer the possible transcription factors mediating EVT invasion and show that they are preserved in in vitro models of EVT differentiation from primary trophoblast organoids3,4 and trophoblast stem cells5. We define the transcriptomes of the final cell states of trophoblast invasion: placental bed giant cells (fused multinucleated EVTs) and endovascular EVTs (which form plugs inside the maternal arteries). We predict the cell-cell communication events contributing to trophoblast invasion and placental bed giant cell formation, and model the dual role of interstitial EVTs and endovascular EVTs in mediating arterial transformation during early pregnancy. Together, our data provide a comprehensive analysis of postimplantation trophoblast differentiation that can be used to inform the design of experimental models of the human placenta in early pregnancy

Spatial multiomics map of trophoblast development in early pregnancy

Acknowledgements: This publication is part of the Human Cell Atlas. The authors thank the Sanger Cellular Generation and Phenotyping (CGaP) Core Facility and the Sanger Core Sequencing pipeline for support with sample processing and sequencing library preparation; A. Surani for supplying the TSC lines; H. Okae and T. Arima for sharing permission; R. Argelaguet, V. Kleshchevnikov, S. van Dongen, M. Prete and S. Murray for insightful comments and web portal support; T. Porter and the Cellular Genetics wet lab team for experimental support; A. Garcia for graphical images; and A. Maartens for editing. Placental material was provided by the Joint MRC–Human Cell Atlas (MR/S036350/1). The authors are grateful to patients for donating tissue for research. We thank D. Moore and M. Maquinana and staff at Addenbrooke’s Hospital, Cambridge, UK. Supported by Wellcome Sanger core funding (WT206194 and 220540/Z/20/A) and the Wellcome Trust grant ‘Wellcome Strategic Support Science award’ (grant no. 211276/Z/18/Z). M.Y.T. held the Royal Society Dorothy Hodgkin Fellowship (DH160216) and Research Grant for Research Fellows (RGF\R1\180028) during this study and is also supported by funding from the European Research Council under the European Union’s Horizon 2020 research and innovation programme (Grant agreement 853546). A.M. is in receipt of a Wellcome Trust Investigator Award (200841/Z/16/Z).The relationship between the human placenta—the extraembryonic organ made by the fetus, and the decidua—the mucosal layer of the uterus, is essential to nurture and protect the fetus during pregnancy. Extravillous trophoblast cells (EVTs) derived from placental villi infiltrate the decidua, transforming the maternal arteries into high-conductance vessels1. Defects in trophoblast invasion and arterial transformation established during early pregnancy underlie common pregnancy disorders such as pre-eclampsia2. Here we have generated a spatially resolved multiomics single-cell atlas of the entire human maternal–fetal interface including the myometrium, which enables us to resolve the full trajectory of trophoblast differentiation. We have used this cellular map to infer the possible transcription factors mediating EVT invasion and show that they are preserved in in vitro models of EVT differentiation from primary trophoblast organoids3, 4 and trophoblast stem cells5. We define the transcriptomes of the final cell states of trophoblast invasion: placental bed giant cells (fused multinucleated EVTs) and endovascular EVTs (which form plugs inside the maternal arteries). We predict the cell–cell communication events contributing to trophoblast invasion and placental bed giant cell formation, and model the dual role of interstitial EVTs and endovascular EVTs in mediating arterial transformation during early pregnancy. Together, our data provide a comprehensive analysis of postimplantation trophoblast differentiation that can be used to inform the design of experimental models of the human placenta in early pregnancy