Literature DB >> 32550242

SARS-CoV-2 Entry Genes Are Most Highly Expressed in Nasal Goblet and Ciliated Cells within Human Airways.

Waradon Sungnak1, Ni Huang1, Christophe Bécavin2, Marijn Berg3,4.   

Abstract

The SARS-CoV-2 coronavirus, the etiologic agent responsible for COVID-19 coronavirus disease, is a global threat. To better understand viral tropism, we assessed the RNA expression of the coronavirus receptor, ACE2, as well as the viral S protein priming protease TMPRSS2 thought to govern viral entry in single-cell RNA-sequencing (scRNA-seq) datasets from healthy individuals generated by the Human Cell Atlas consortium. We found that ACE2, as well as the protease TMPRSS2, are differentially expressed in respiratory and gut epithelial cells. In-depth analysis of epithelial cells in the respiratory tree reveals that nasal epithelial cells, specifically goblet/secretory cells and ciliated cells, display the highest ACE2 expression of all the epithelial cells analyzed. The skewed expression of viral receptors/entry-associated proteins towards the upper airway may be correlated with enhanced transmissivity. Finally, we showed that many of the top genes associated with ACE2 airway epithelial expression are innate immune-associated, antiviral genes, highly enriched in the nasal epithelial cells. This association with immune pathways might have clinical implications for the course of infection and viral pathology, and highlights the specific significance of nasal epithelia in viral infection. Our findings underscore the importance of the availability of the Human Cell Atlas as a reference dataset. In this instance, analysis of the compendium of data points to a particularly relevant role for nasal goblet and ciliated cells as early viral targets and potential reservoirs of SARS-CoV-2 infection. This, in turn, serves as a biological framework for dissecting viral transmission and developing clinical strategies for prevention and therapy.

Entities:  

Year:  2020        PMID: 32550242      PMCID: PMC7280877     

Source DB:  PubMed          Journal:  ArXiv        ISSN: 2331-8422


Introduction

In December 2019, a cluster of atypical pneumonia associated with a novel coronavirus was detected in Wuhan, China[1]. This coronavirus disease, termed COVID-19, was caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2; previously termed 2019-nCoV)[2]. The virus has since spread worldwide, emerging as a serious global health concern in early 2020[3,4]. Human-to-human transmission of the virus has been reported in several instances[5-7] and is thought to have occurred since mid-December 2019[8]. As of early March 2020, there were more than 100,000 confirmed COVID-19 cases[4]. Patients with suspected COVID-19 have been treated in the Wuhan Jin Yintan Hospital since Dec 31st, 2019[9]. In a meta-analysis of 50,466 hospitalized patients with COVID-19 from 10 studies, most patients were from China and the average age in the included studies ranged from 41 to 56 years old[10]. The prevalence rates of fever, cough, and muscle soreness or fatigue were 89.1%, 72.2%, and 42.5%. Critical illness requiring admission to an intensive care unit occurred in 18.1% of patients, and 14.8% developed acute respiratory distress syndrome (ARDS)[10]. Acute renal injury and septic shock have been observed in 4% and 5% of patients hospitalized with COVID-19, respectively[1,9]. Chest imaging demonstrated bilateral pneumonia involvement in more than 80% of cases[1,9,11]. Ground-glass opacities were the most common radiologic finding on chest computed tomography (CT)[11,12]. Abnormalities on CT were also observed preceding symptom onset in patients exposed to infected individuals, with an incidence of 93%[10,11]. Pathological evaluation of a patient who died of severe disease revealed diffuse alveolar damage consistent with ARDS[13]. Currently, the estimated mortality rate is 3.4%[14]. These clinical data underscore the severity of this infection. The involvement of both lungs in most of the cases suggests viral dissemination after initial infection. Viral RNA was detected in the upper airways from symptomatic patients, with higher viral loads observed in nasal swabs compared to those obtained from the throat[15]. Similar viral loads were observed in an asymptomatic patient[15], indicating that the nasal epithelium is an important portal for initial infection, and may serve as a key reservoir for viral spread across the respiratory mucosa and an important locus mediating viral transmission. Identification of the cells hosting viral entry and permitting viral replication as well as those contributing to inflammation and disease pathology is essential to improve diagnostic and therapeutic interventions. Cellular entry of coronaviruses depends on the binding of the spike (S) protein to a specific cellular receptor and subsequent S protein priming by cellular proteases. Similar to severe acute respiratory syndrome-associated coronavirus (SARS-CoV)[16,17], the SARS-CoV-2 employs angiotensin-converting enzyme-2 (ACE2) as a receptor for cellular entry. In addition, studies have shown that the serine protease TMPRSS2 can prime S protein[15,18] although other proteases like cathepsin B/L can also be involved[18]. For SARS, the binding affinity between the S protein and the ACE2 receptor was found to be a major determinant of viral replication rates and disease severity[19]. The SARS-CoV-2 has been shown to infect and replicate in Vero cells, a Cercopithecus aethiops (old world monkey) kidney epithelial cell line, and huh7 cells, a human hepatocarcinoma cell line[15]. The BHK21 cell line has been shown to facilitate viral entry by the SARS-CoV-2 S protein only when engineered to express the ACE2 receptor ectopically[18]. In addition, viral entry was found to depend on TMPRSS2 activity, although cathepsin B/L activity might substitute for the loss of TMPRSS2[18]. The in vivo expression of ACE2 and TMPRSS2 (as well as other candidate proteases) by cells of the upper and lower airways and alveoli must be defined. Previously, gene expression of ACE2 and TMPRSS2 has been reported to occur largely in type-2 alveolar (AT-2) epithelial cells[15], which are central to SARS-CoV pathogenesis. A study reported that ACE2 expression is absent from the upper airways[20]. The rapid spread of the SARS-CoV-2 suggests efficient human-to-human transmission which would, in turn, seem to supersede the odds of dependency on alveolar epithelial cells as the primary point of entry and viral replication[8,21,22]. Indeed, protein expression, based on immunohistochemistry, of ACE2 and TMPRSS2 has been reported in both nasal and bronchial epithelium[23]. To clarify the expression patterns of ACE2 and TMPRSS2 and analyze the expression of the other potential genes associated with SARS-CoV-2 pathogens at cellular resolution, we interrogated single-cell transcriptome expression data from published scRNA-seq datasets from healthy donors generated by the Human Cell Atlas consortium[24].

Results

ACE2 and TMPRSS2 are enriched in nasal tissues and enterocytes

We investigated the gene expression of ACE2 in multiple scRNA-seq datasets from different tissues, including those of the respiratory tree[25], ileum[26], colon[27], liver[28], placenta/decidua[29], kidney[30], testis[31], pancreas[32], and prostate gland[33]. While scRNA-seq is a comprehensive assay, we note that some studies may still miss specific cell types, due to either their rarity, challenges associated with their isolation, or analysis methodology that was used. Thus, while positive (presence) results are highly reliable, absence should be interpreted with care. The expression of ACE2, in general, is relatively low in all of the datasets analyzed. Consistent with independent analyses[34], we found that ACE2 is expressed in lung, airways, ileum, colon, and kidney (Fig. 1a; first column). It is worth noting that TMPRSS2, the primary protease important for viral entry, is highly expressed with a broader be a limiting factor for viral entry at the initial stage of infection. When taking into account distribution (Fig. 1a; second column), suggesting that ACE2, rather than TMPRSS2, may the expression of both genes, the cells found in mucosal epithelia in the respiratory tree, ileum, and colon are ACE2+ (Fig. 1a; third column), consistent with viral transmission by respiratory droplets, and the potential of fecal-oral transmission[35]. We also assessed ACE2 and TMPRSS2 expression in developmental datasets from fetal liver, fetal thymus, fetal skin, fetal bone marrow and fetal yolk sac[36,37] and found little to no expression of ACE2 with no co-expression with TMPRSS2 (data not shown) even if single ACE2 expression is noticeable in certain cell types in placenta/decidua (Fig. 1a). While we cannot rule out the possibility that the virus uses alternative proteases for entry in such contexts, or that lung fetal tissue expresses the relevant genes, these results are at least consistent with early reports that fail to detect evidence of intrauterine infection through vertical transmission in women who develop COVID-19 pneumonia in late pregnancy[38]. If future epidemiologic data are consistent with a lack vertical viral transmission, these findings may form the basis of an explanatory model for the clinical finding. However, if future evidence for vertical transmission emerges, additional scRNA-seq data can be collected and further scrutinized for the presence of rare co-expressers or alternative receptors or proteases.
Fig. 1|

Expression of ACE2 and TMPRSS2 across different tissues and its enrichment in nasal epithelial cells.

a, RNA expression of SARS-CoV-2 entry receptor ACE2 (first column), entry-associated protease TMPRSS2 (second column), and their co-expression (third column) from multiple published scRNA-seq datasets. Raw expression values were normalized, log transformed and summarized by published cell clustering where available, or reproduced clustering annotated using marker genes and cell type nomenclature from the respective studies. The size of the dots indicates the proportion of cells in the respective cell type having greater-than-zero expression of ACE2 (first column), TMPRSS2 (second column) or both (third column), while the colour indicates the mean expression of ACE2 (first and third columns) or TMPRSS2 (second column). b, Schematic illustration depicts the major anatomical regions in the human respiratory tree demonstrated in this study: nasal, lower airway, and lung parenchyma (left panel). Expression of ACE2 is from airway epithelial cell datasets: Vieira Braga, Kar et al. 2019 (middle panel) and Deprez et al. 2019 (right panel). The datasets were retrieved from existing sources, and the cell clustering and nomenclature were retained based on the respective studies. For gene expression results in the dot plots: the dot size represents the proportion of cells within the respective cell type expressing the gene and the dot color represents the average gene expression level within the particular cell type.

Nasal goblet and ciliated cells display the highest expression of ACE2 within the larger population of respiratory epithelial cells

To further characterize specific epithelial cell types expressing ACE2, we evaluated the expression of ACE2 within lung/airway epithelia from a previous study[25]. We found that, despite a low level of expression overall, ACE2 is expressed in multiple epithelial cell types across the airway, as well as in AT-2 cells in the parenchyma, consistent with previous studies[20,39]. Importantly, nasal epithelial cells, including previously described two clusters of goblet cells and one cluster of ciliated cells, have the highest expression among all investigated cells in the respiratory tree (Fig. 1b; left panel). We confirmed enriched ACE2 expression in nasal epithelial cells from a second scRNA-seq study, which, in addition to nasal brushing samples seen in the earlier dataset, included nasal biopsies[40]. The results were consistent: we found the highest expression of ACE2 in nasal secretory cells (equivalent to the two goblet cell clusters in the previous dataset) and ciliated cells (Fig. 1b; right panel). In addition, scRNA-seq data from an in vitro 3D epithelial regeneration system from nasal epithelial cells[41] corroborated the expression of ACE2 in goblet/secretory cells and ciliated cells in these air-liquid interface (ALI) cultures (Extended Data Fig. 1). Of note, the differentiating cells in ALI acquire progressively more ACE2 and, unlike their corresponding progenitors, they have large luminal surfaces in the mature differentiated epithelium where viral entry is likely to occur (Extended Data Fig. 1). These results also suggest that such in vitro culture system is biologically relevant to the study of viral pathogenesis.
Extend Data Fig. 1|

Gene expression of ACE2 in an in vitro 3D air-liquid interface (ALI) system.

Epithelial regeneration system from nasal epithelial cells was used for in vitro cultures on successive days (7, 12 and 28), resulting in different epithelial cell types along differentiation trajectory characterized in Ruiz García et al. 2019. The cultures were differentiated in Pneumacult media. Schematic illustration depicts the respective cell types in the differentiation trajectory, and the dot plot illustrates the cultured cell types along the differentiation pseudotime, along with their respective location within the epithelial layers. For gene expression results in the dot plot: the dot size represents the proportion of cells within the respective cell type expressing the gene and the dot color represents the average gene expression level within the particular cell type.

We also investigated the expression of known proteases associated with the entry of SARS-CoV and SARS-CoV-2. TMPRSS2, which was shown to be important for SARS-CoV/SARS-CoV-2 viral entry and SARS-CoV transmission,[16-18] is expressed in a subset of ACE2+ cells (Extended Data Fig. 2), suggesting that the virus might use alternative pathways for entry. In fact, it was previously shown that SARS-CoV-2 could enter TMPRSS2− cells using cathepsin B/L[18]. Indeed, we found that they are much more promiscuously expressed than TMPRSS2, especially cathepsin B, which is expressed in more than 70%-90% of ACE2+ cells (Extended Data Fig. 2). However, whether cathepsin B/L can functionally replace TMPRSS2 has not been empirically determined. In the case of SARS-CoV, TMPRSS2 activity is documented to be important for viral transmission[42,43].
Extended Data Fig. 2|

Expression and co-expression of SARS-CoV-2 entry-associated proteases in ACE2+ airway epithelial cells: TMPRSS2, CTSB, and CTSL in ACE2+ cells from the Vieira Braga, Kar et al. (top) and Deprez et al. (bottom) airway epithelial datasets. The color represents the expression level at the single-cell resolution and the cells are grouped based on the cell types specified.

Respiratory expression of viral receptor/entry-associated genes and implications for viral transmissivity

We next asked whether the enriched expression of viral receptors and entry-associated molecules in the nasal region/upper airway could be relevant to viral transmissivity. Here, we assessed the expression of viral receptor genes that are used by other coronaviruses and influenza viruses, including ANPEP (used by HCoV-229[44]) and DPP4 (used by MERS CoV[45]), as well as the enzymes ST6GAL1 and ST3GAL4 in the lung epithelial cell datasets. The latter genes are enzymes which are important for the synthesis of viral receptors used by influenza viruses: α(2,6)-linked sialic acid and α(2,3)-linked sialic acid[46]. Notably, the distribution of receptor/receptor-associated enzymes appears to coincide with viral transmissivity patterns based on a comparison to the basic reproduction number (R0), which estimates the number of people who can get infected from a single infected person; and the infection will be able to start spreading in a population when R0 > 1. The skewed distribution of the receptors/enzymes towards the upper airway is observed in viruses with relatively higher R0/infectivity, including those of SARS-CoV/SARS-CoV-2 (R0 ~ 1.4-5.0[8,21,22]), influenza (mean R0 ~1.3[47]) and HCoV-229E (unidentified R0; associated with common cold[48]). This distribution is in distinct contrast with that of DPP4, the receptor for MERS-CoV (R0 ~0.3-0.8), a coronavirus with limited human-to-human transmission[49], with the skewed expression towards lower airway/lung parenchyma (Fig. 2a). Therefore, our data highlight the possibility that viral transmissivity is dependent on receptor accessibility based on spatial distribution along the respiratory tract.
Fig. 2|

Respiratory expression of viral receptor/entry-associated genes and implications for viral transmissivity and genes associated with ACE2 expression.

a, Expression of ACE2 (an entry receptor for SARS-CoV and SARS-CoV-2), ANPEP (an entry receptor for HCoV-229E), ST6GAL1/ST3GAL4 (enzymes important for synthesis of influenza entry receptors), and DPP4 (an entry receptor for MERS-CoV) from the airway epithelial datasets: Vieira Braga, Kar et al. 2019 (left panel) and Deprez et al. 2019 (right panel). The basic reproductive number (R0) for respective viruses, if available, are shown. b, Respiratory epithelial expression of the top 50 genes correlated with ACE2 expression based on Spearman correlation analysis (with Benjamini-Hochberg-adjusted p-values) on genes associated with ACE2 across all cells within the Vieira Braga, Kar et al. lung epithelial dataset. The colored gene names represent genes that are immune-associated (GO:0002376: immune system process or GO:0002526: acute inflammatory response). For gene expression results in the dot plots: the dot size represents the proportion of cells within the respective cell type expressing the gene and the color represents the average gene expression level within the particular cell type.

Expression of genes associated with ACE2 expression: innate immunity and carbohydrate metabolism

To gain more insight into the expression patterns of genes associated with ACE2, we performed Spearman correlation analysis with Benjamini-Hochberg-adjusted p-values on genes associated with ACE2 across all cells within the lung epithelial cell dataset[25]. While the correlation coefficients are relatively low (< 0.11), likely due to low expression of ACE2, the expression pattern of the top 50 ACE2-correlated genes (all with adjusted p-value close to 0; ranked by correlation coefficients) across the respiratory tree is similar to that of ACE2, with a skewed expression toward upper airway (Fig. 2b). To our surprise, while some of the genes are associated with carbohydrate metabolism (possibly due to the role of goblet cells in mucin synthesis), a number of genes associated with immune functions including innate and antiviral immune functions, are over-represented in the rank list, including IDO1, IRAK3, NOS2, TNFSF10, OAS1, and MX1 (Fig. 2b and Supplementary Table 1). These genes have the highest expression in nasal goblet 2 cells (Fig. 2b), consistent with the phenotype previously described[25]. Nonetheless, nasal goblet 1 and nasal ciliated 2 cells also significantly express these genes, but less so elsewhere (Fig. 2b). Given their environmental exposure and the high expression of receptor/receptor-associated enzymes (Fig. 2a), it is plausible that the nasal epithelial cells were conditioned and primed to express these immune-associated genes to prevent viral susceptibility. This association with innate immune pathways not only highlights the importance of host-microbe dynamics in nasal epithelia, but it may also have implications for subsequent viral pathogenesis and immune-associated protection/pathology.

Discussion

In this study, we explored multiple scRNA-seq datasets generated within the HCA consortium, and found that SARS-CoV-2 entry receptor ACE2 is more highly expressed (and co-expressed with viral entry-associated protease TMPRSS2) in nasal epithelial cells, specifically goblet and ciliated cells. This finding implicates these cells as loci of original infection and possible reservoirs for dissemination within a given patient and from person to person. Importantly, viral infection itself could drastically change the gene expression landscape in the nose and other tissues later on. The up-regulation of innate immune genes, in association with ACE2, in highly-exposed nasal epithelial cells could be the result of their responsiveness to persistent environmental challenges, including viral infection. It would be of great interest to further investigate how other genetic, demographic, and environmental factors might affect this poised state in these cells and whether such state could influence the susceptibility to infection due to its association with viral receptor expression. Future meta-analysis of HCA data can help further assess some of these aspects. All in all, our findings may have significant implications for understanding viral transmissivity, considering that the primary viral transmission is through respiratory droplets. Moreover, as SARS-CoV-2 is an enveloped virus, its release does not require cell lysis. Thus, the virus might exploit existing secretory pathways in nasal goblet cells for low-level, continuous-release at the early stage with no overt pathology. These discoveries could have clinical implications with respect to targeting nasal epithelial cells, especially nasal goblet cells, beyond the current usage of face masks, providing a candidate clinical option for transmission prevention and/or early-stage intervention. Finally, it is worth highlighting that this is the first collaborative effort by a Human Cell Atlas Biological Network (the Lung), and illustrates the opportunities from integrative analyses of Human Cell Atlas data, with future examples of consortium work expected soon.

Methods

The datasets were retrieved from existing sources based on previously published data as specifically specified in the reference. We retained the cell clustering when available or reprocessed using scanpy[50] and harmony[51], and annotated the clusters with marker genes and cell type nomenclature based on the respective studies. Illustration of the results was generated using scanpy[50] and Seurat[52].

Gene expression of ACE2 in an in vitro 3D air-liquid interface (ALI) system.

Epithelial regeneration system from nasal epithelial cells was used for in vitro cultures on successive days (7, 12 and 28), resulting in different epithelial cell types along differentiation trajectory characterized in Ruiz García et al. 2019. The cultures were differentiated in Pneumacult media. Schematic illustration depicts the respective cell types in the differentiation trajectory, and the dot plot illustrates the cultured cell types along the differentiation pseudotime, along with their respective location within the epithelial layers. For gene expression results in the dot plot: the dot size represents the proportion of cells within the respective cell type expressing the gene and the dot color represents the average gene expression level within the particular cell type. Expression and co-expression of SARS-CoV-2 entry-associated proteases in ACE2+ airway epithelial cells: TMPRSS2, CTSB, and CTSL in ACE2+ cells from the Vieira Braga, Kar et al. (top) and Deprez et al. (bottom) airway epithelial datasets. The color represents the expression level at the single-cell resolution and the cells are grouped based on the cell types specified.
  44 in total

1.  Efficient activation of the severe acute respiratory syndrome coronavirus spike protein by the transmembrane protease TMPRSS2.

Authors:  Shutoku Matsuyama; Noriyo Nagata; Kazuya Shirato; Miyuki Kawase; Makoto Takeda; Fumihiro Taguchi
Journal:  J Virol       Date:  2010-10-06       Impact factor: 5.103

2.  A cellular census of human lungs identifies novel cell states in health and in asthma.

Authors:  Felipe A Vieira Braga; Gozde Kar; Marijn Berg; Orestes A Carpaij; Krzysztof Polanski; Lukas M Simon; Sharon Brouwer; Tomás Gomes; Laura Hesse; Jian Jiang; Eirini S Fasouli; Mirjana Efremova; Roser Vento-Tormo; Carlos Talavera-López; Marnix R Jonker; Karen Affleck; Subarna Palit; Paulina M Strzelecka; Helen V Firth; Krishnaa T Mahbubani; Ana Cvejic; Kerstin B Meyer; Kourosh Saeb-Parsy; Marjan Luinge; Corry-Anke Brandsma; Wim Timens; Ilias Angelidis; Maximilian Strunz; Gerard H Koppelman; Antoon J van Oosterhout; Herbert B Schiller; Fabian J Theis; Maarten van den Berge; Martijn C Nawijn; Sarah A Teichmann
Journal:  Nat Med       Date:  2019-06-17       Impact factor: 53.440

3.  Single-Cell Analysis of Crohn's Disease Lesions Identifies a Pathogenic Cellular Module Associated with Resistance to Anti-TNF Therapy.

Authors:  Jerome C Martin; Christie Chang; Gilles Boschetti; Ryan Ungaro; Mamta Giri; John A Grout; Kyle Gettler; Ling-Shiang Chuang; Shikha Nayar; Alexander J Greenstein; Marla Dubinsky; Laura Walker; Andrew Leader; Jay S Fine; Charles E Whitehurst; M Lamine Mbow; Subra Kugathasan; Lee A Denson; Jeffrey S Hyams; Joshua R Friedman; Prerak T Desai; Huaibin M Ko; Ilaria Laface; Guray Akturk; Eric E Schadt; Helene Salmon; Sacha Gnjatic; Adeeb H Rahman; Miriam Merad; Judy H Cho; Ephraim Kenigsberg
Journal:  Cell       Date:  2019-08-29       Impact factor: 41.582

4.  Integrating single-cell transcriptomic data across different conditions, technologies, and species.

Authors:  Andrew Butler; Paul Hoffman; Peter Smibert; Efthymia Papalexi; Rahul Satija
Journal:  Nat Biotechnol       Date:  2018-04-02       Impact factor: 54.908

5.  SCANPY: large-scale single-cell gene expression data analysis.

Authors:  F Alexander Wolf; Philipp Angerer; Fabian J Theis
Journal:  Genome Biol       Date:  2018-02-06       Impact factor: 13.583

6.  N-Glycolylneuraminic Acid as a Receptor for Influenza A Viruses.

Authors:  Frederik Broszeit; Netanel Tzarum; Xueyong Zhu; Nikoloz Nemanichvili; Dirk Eggink; Tim Leenders; Zeshi Li; Lin Liu; Margreet A Wolfert; Andreas Papanikolaou; Carles Martínez-Romero; Ivan A Gagarinov; Wenli Yu; Adolfo García-Sastre; Tom Wennekes; Masatoshi Okamatsu; Monique H Verheije; Ian A Wilson; Geert-Jan Boons; Robert P de Vries
Journal:  Cell Rep       Date:  2019-06-11       Impact factor: 9.423

7.  Different epidemic curves for severe acute respiratory syndrome reveal similar impacts of control measures.

Authors:  Jacco Wallinga; Peter Teunis
Journal:  Am J Epidemiol       Date:  2004-09-15       Impact factor: 4.897

8.  Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study.

Authors:  Nanshan Chen; Min Zhou; Xuan Dong; Jieming Qu; Fengyun Gong; Yang Han; Yang Qiu; Jingli Wang; Ying Liu; Yuan Wei; Jia'an Xia; Ting Yu; Xinxin Zhang; Li Zhang
Journal:  Lancet       Date:  2020-01-30       Impact factor: 79.321

9.  A Novel Coronavirus from Patients with Pneumonia in China, 2019.

Authors:  Na Zhu; Dingyu Zhang; Wenling Wang; Xingwang Li; Bo Yang; Jingdong Song; Xiang Zhao; Baoying Huang; Weifeng Shi; Roujian Lu; Peihua Niu; Faxian Zhan; Xuejun Ma; Dayan Wang; Wenbo Xu; Guizhen Wu; George F Gao; Wenjie Tan
Journal:  N Engl J Med       Date:  2020-01-24       Impact factor: 91.245

10.  Dipeptidyl peptidase 4 is a functional receptor for the emerging human coronavirus-EMC.

Authors:  V Stalin Raj; Huihui Mou; Saskia L Smits; Dick H W Dekkers; Marcel A Müller; Ronald Dijkman; Doreen Muth; Jeroen A A Demmers; Ali Zaki; Ron A M Fouchier; Volker Thiel; Christian Drosten; Peter J M Rottier; Albert D M E Osterhaus; Berend Jan Bosch; Bart L Haagmans
Journal:  Nature       Date:  2013-03-14       Impact factor: 49.962

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.