No evidence for basigin/CD147 as a direct SARS-CoV-2 spike binding receptor.

The spike protein of SARS-CoV-2 is known to enable viral invasion into human cells through direct binding to host receptors including ACE2. An alternate entry receptor for the virus was recently proposed to be basigin/CD147. These early studies have already prompted a clinical trial and multiple published hypotheses speculating on the role of this host receptor in viral infection and pathogenesis. Here, we report that we are unable to find evidence supporting the role of basigin as a putative spike binding receptor. Recombinant forms of the SARS-CoV-2 spike do not interact with basigin expressed on the surface of human cells, and by using specialized assays tailored to detect receptor interactions as weak or weaker than the proposed basigin-spike binding, we report no evidence for a direct interaction between the viral spike protein to either of the two common isoforms of basigin. Finally, removing basigin from the surface of human lung epithelial cells by CRISPR/Cas9 results in no change in their susceptibility to SARS-CoV-2 infection. Given the pressing need for clarity on which viral targets may lead to promising therapeutics, we present these findings to allow more informed decisions about the translational relevance of this putative mechanism in the race to understand and treat COVID-19

Protein-mediated gelation and nano-scale assembly of unfunctionalized hyaluronic acid and chondroitin sulfate.

Background: Hyaluronic acid (HA) is a major component of the extracellular matrix (ECM) in the central nervous system and the only purely supramolecular glycosaminoglycan. Much focus has been given to using this high molecular weight polysaccharide for tissue engineering applications. In most studies, the backbone of HA is functionalized with moieties that can facilitate network formation through physical self-assembly, or covalent crosslinking (e.g. photo-catalyzed) at concentrations where the polysaccharide does not gel on its own. However, these crosslinks often utilize functional groups not found in biological tissues. Methods: Oscillatory rheology, dynamic light scattering, and scanning electron microscopy were used to study albumin/HA structures. Dynamic light scattering and transmission electron microscopy were used to study albumin/chondroitin sulfate (CS) structures. UV-vis spectroscopy was used to demonstrate the potential for using protein-polymer blends as an ECM-mimetic model to study transport of small molecules. Results: We examine the intermolecular interactions of two major glycosaminoglycans found in the human brain, HA and the lower molecular weight CS, with the model protein albumin. We report the properties of the resulting micro- and nano materials. Our albumin/HA systems formed gels, and albumin/CS systems formed micro- and nanoparticles. These systems are formed from unfunctionalized polysaccharides, which is an attractive and simple method of forming HA hydrogels and CS nanoparticles. We also summarize the concentrations of HA and CS found in various mammalian brains, which could potentially be useful for biomimetic scaffold development. Conclusions: Simple preparation of commercially available charged biomacromolecules results in interesting materials with structures at the micron and nanometer length-scales. Such materials may have utility in serving as cost-effective models of nervous system electrostatic interactions and as in vitro drug release and model system for ECM transport studies

Technologies to decode the multicellular networks within the human body

This is a story about how it is possible for collections of cells to physically assemble into coordinated multicellular systems. In other words, how millions of individual cells are able to physically interact with each other in an organized way, as well as how pathogens such as viruses can exploit these interaction points in order to infect the body. Its subject is principally centered around the proteins that cover the surfaces of human cells. These proteins have to bind with specific combinations of surface proteins on nearby cells, thereby establishing a complex ‘code’ of direct interactions possible between different cell populations and tissues. Some of these interactions trigger the exchange of signals that enable collections of multiple cells to coordinate complex behaviors such as immune responses, while others act as adhesive receptors that enable physical structure to emerge out of groups of cells. The influential roles of these surface proteins and their accessibility to systemic medications have also made them among the most effective targets for therapeutics, with surface proteins constituting a majority of all approved drug targets. So far however, prior research has only pieced together a fragmented picture of the direct receptor links between cells and the functional roles they have. Surface receptors pose unique experimental challenges to study and historically have lacked systematic methods to measure, leading most studies to only consider receptors at small-scale without a global view to the larger system. In this thesis, I take a different approach. I will present my work to establish a series of technological tools and strategies that overcome these challenges, in order to make it possible to systematically build up from characterizing the function of individual receptor molecules all the way to reconstructing multicellular interaction networks across entire systems of human cells. These methodologies can be categorized into three sequential steps. First, testing the binding of pairs of surface proteins across large arrays to decode the ‘interactome’ between two cells. Second, using cell-based assays to annotate the broad functional consequences a surface interaction has. And third, to computationally integrate these diverse data sources in order to understand how interacting communities of cells are organized. As my initial case study, I consider the question of how the distributed individual cells of the human immune system interact to produce a cohesive whole. By individually producing recombinant forms of most surface proteins detectable on white blood cells, I could assemble the first systematic and quantitative interaction network of these proteins, and in the process discover several novel interactions and reveal the identities of previously-unidentified binding partners for key immunomodulatory receptors. I could then adapt those recombinant proteins to experimentally manipulate live human immune cells in a multiplex microscopy technique, which revealed previously unknown interactions as having prominent roles in immune activation and leukocyte adhesion. I will show how these data can be integrated with high-resolution expression data in order to infer patterns of cell-to-cell connectivity throughout the human body, as well as to formulate a mathematical model that could predict the behavior of interacting cells from molecular first-principles. In the second half of my thesis, I will explain how this series of methods I established can be adapted and extended to new contexts. I will describe a large-scale effort I led applying these methods to characterize the cell-to-cell interactions occurring within the human brain, which revealed unexpected new pathways by which glia can directly communicate with cortical neurons. I will then extend my approaches to reveal which interactions may play a causal role in driving human disease. To do so, I will first show computational methods I devised for leveraging human clinical genetics in order to pinpoint cell-to-cell processes underlying the pathology. In the final section, I will extend this to infectious diseases driven by host-pathogen interactions. For this, I will explain how the tools I established allowed me to rapidly respond to the COVID-19 pandemic by systematically profiling the surface proteins that act as host factors during infection by the novel coronavirus SARS-CoV-2. That work has led to the discovery of two pathogen-host interactions that have subsequently been independently linked to COVID-19 severity, as well as helped clarify the precise host receptors that SARS-CoV-2 utilizes when invading human cells. From the combination of these technologies and approaches, I hope to provide a systematic and mechanistically-grounded foundation for deconstructing the emergence of biological function from the interacting communities of cells that make up the human body

Evidence for widespread dysregulation of circadian clock progression in human cancer

The ubiquitous daily rhythms in mammalian physiology are guided by progression of the circadian clock. In mice, systemic disruption of the clock can promote tumor growth. In vitro, multiple oncogenes can disrupt the clock. However, due to the difficulties of studying circadian rhythms in solid tissues in humans, whether the clock is disrupted within human tumors has remained unknown. We sought to determine the state of the circadian clock in human cancer using publicly available transcriptome data. We developed a method, called the clock correlation distance (CCD), to infer circadian clock progression in a group of samples based on the co-expression of 12 clock genes. Our method can be applied to modestly sized datasets in which samples are not labeled with time of day and coverage of the circadian cycle is incomplete. We used the method to define a signature of clock gene co-expression in healthy mouse organs, then validated the signature in healthy human tissues. By then comparing human tumor and non-tumor samples from twenty datasets of a range of cancer types, we discovered that clock gene co-expression in tumors is consistently perturbed. Subsequent analysis of data from clock gene knockouts in mice suggested that perturbed clock gene co-expression in human cancer is not caused solely by the inactivation of clock genes. Furthermore, focusing on lung cancer, we found that human lung tumors showed systematic changes in expression in a large set of genes previously inferred to be rhythmic in healthy lung. Our findings suggest that clock progression is dysregulated in many solid human cancers and that this dysregulation could have broad effects on circadian physiology within tumors. In addition, our approach opens the door to using publicly available data to infer circadian clock progression in a multitude of human phenotypes

A proteome-wide genetic investigation identifies several SARS-CoV-2-exploited host targets of clinical relevance

BACKGROUND: The virus SARS-CoV-2 can exploit biological vulnerabilities (e.g. host proteins) in susceptible hosts that predispose to the development of severe COVID-19. METHODS: To identify host proteins that may contribute to the risk of severe COVID-19, we undertook proteome-wide genetic colocalisation tests, and polygenic (pan) and cis-Mendelian randomisation analyses leveraging publicly available protein and COVID-19 datasets. RESULTS: Our analytic approach identified several known targets (e.g. ABO, OAS1), but also nominated new proteins such as soluble Fas (colocalisation probability >0.9, p=1 × 10(-4)), implicating Fas-mediated apoptosis as a potential target for COVID-19 risk. The polygenic (pan) and cis-Mendelian randomisation analyses showed consistent associations of genetically predicted ABO protein with several COVID-19 phenotypes. The ABO signal is highly pleiotropic, and a look-up of proteins associated with the ABO signal revealed that the strongest association was with soluble CD209. We demonstrated experimentally that CD209 directly interacts with the spike protein of SARS-CoV-2, suggesting a mechanism that could explain the ABO association with COVID-19. CONCLUSIONS: Our work provides a prioritised list of host targets potentially exploited by SARS-CoV-2 and is a precursor for further research on CD209 and FAS as therapeutically tractable targets for COVID-19. FUNDING: MAK, JSc, JH, AB, DO, MC, EMM, MG, ID were funded by Open Targets. J.Z. and T.R.G were funded by the UK Medical Research Council Integrative Epidemiology Unit (MC_UU_00011/4). JSh and GJW were funded by the Wellcome Trust Grant 206194. This research was funded in part by the Wellcome Trust [Grant 206194]. For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission

LRRC15 mediates an accessory interaction with the SARS-CoV-2 spike protein.

Funder: NIHR Cambridge Biomedical Research CentreFunder: Addenbrooke’s Charitable Trust, Cambridge University HospitalsThe interactions between Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and human host factors enable the virus to propagate infections that lead to Coronavirus Disease 2019 (COVID-19). The spike protein is the largest structural component of the virus and mediates interactions essential for infection, including with the primary angiotensin-converting enzyme 2 (ACE2) receptor. We performed two independent cell-based systematic screens to determine whether there are additional proteins by which the spike protein of SARS-CoV-2 can interact with human cells. We discovered that in addition to ACE2, expression of LRRC15 also causes spike protein binding. This interaction is distinct from other known spike attachment mechanisms such as heparan sulfates or lectin receptors. Measurements of orthologous coronavirus spike proteins implied the interaction was functionally restricted to SARS-CoV-2 by accessibility. We localized the interaction to the C-terminus of the S1 domain and showed that LRRC15 shares recognition of the ACE2 receptor binding domain. From analyzing proteomics and single-cell transcriptomics, we identify LRRC15 expression as being common in human lung vasculature cells and fibroblasts. Levels of LRRC15 were greatly elevated by inflammatory signals in the lungs of COVID-19 patients. Although infection assays demonstrated that LRRC15 alone is not sufficient to permit viral entry, we present evidence that it can modulate infection of human cells. This unexpected interaction merits further investigation to determine how SARS-CoV-2 exploits host LRRC15 and whether it could account for any of the distinctive features of COVID-19

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