132 10 20655 https://www.socictopen.socict.org/files/original/f1bf4ba0f5b656dfc19a8b48cdcf585e.pdf 8871227aca044880bdfa216e8f1750ef Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Predicting bacterial resistance from whole-genome sequences using k-mers and stability selection Creator An entity primarily responsible for making the resource Pierre Mahé, Maud Tournoud Description An account of the resource Abstract Background Several studies demonstrated the feasibility of predicting bacterial antibiotic resistance phenotypes from whole-genome sequences, the prediction process usually amounting to detecting the presence of genes involved in antibiotic resistance mechanisms, or of specific mutations, previously identified from a training panel of strains, within these genes. We address the problem from the supervised statistical learning perspective, not relying on prior information about such resistance factors. We rely on a k-mer based genotyping scheme and a logistic regression model, thereby combining several k-mers into a probabilistic model. To identify a small yet predictive set of k-mers, we rely on the stability selection approach (Meinshausen et al., J R Stat Soc Ser B 72:417–73, 2010), that consists in penalizing logistic regression models with a Lasso penalty, coupled with extensive resampling procedures. Results Using public datasets, we applied the resulting classifiers to two bacterial species and achieved predictive performance equivalent to state of the art. The models are extremely sparse, involving 1 to 8 k-mers per antibiotic, hence are remarkably easy and fast to evaluate on new genomes (from raw reads to assemblies). Conclusion Our proof of concept therefore demonstrates that stability selection is a powerful approach to investigate bacterial genotype-phenotype relationships. Date A point or period of time associated with an event in the lifecycle of the resource 2018 Subject The topic of the resource Genotype phenotype, feature selection, Kmers, Lasso Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s12859-018-2403-z Source A related resource from which the described resource is derived BMC Bioinformatics Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Biology (General), Computer applications to medicine. Medical informatics Language A language of the resource EN https://www.socictopen.socict.org/files/original/e856068c0d4838f99c2ca02f0f258957.pdf e4c2e21369d5fe739de0128c0808b265 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Minimizing the risk of international spread of coronavirus disease 2019 (COVID-19) outbreak by targeting travelers Creator An entity primarily responsible for making the resource Saurabh R Shrivastava, Prateek S Shrivastava Description An account of the resource The Coronavirus Disease-2019 (COVID-19) outbreak has become a global health emergency owing to its magnitude, attributed deaths, and its propensity to spread across the world. In-fact, owing to its quick spread across international boundaries and the resulting caseload, the disease has been declared as a Public Health Emergency of International Concern on 30 January 2020. It is worth noting that out of the 395 cases detected in other nations, 165 (41.8%) have a positive history of travel to China. As of now, the World Health Organization has not recommended for any restrictions on the travel or trade aspects, but has clearly specified that implementation of International Health Regulations should be strictly done at the airports and seaports. In conclusion, the COVID- 19 outbreak has created an alarm across the globe as the causative virus is novel in nature. However, strengthening of standard infection control practices and adoption of preventive measures for travelers can significantly minimize the threat of further transmission of the disease. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19 outbreak; public health emergency of international concern; travelers; world health organization Identifier An unambiguous reference to the resource within a given context DOI: 10.4103/2221-6189.278654 Source A related resource from which the described resource is derived Journal of Acute Disease Publisher An entity responsible for making the resource available Wolters Kluwer Medknow Publications Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medical emergencies. Critical care. Intensive care. First aid Language A language of the resource EN https://www.socictopen.socict.org/files/original/e7e285ebb060ce96b006b8c8143e0c7f.pdf 6718ee19d2be99a17764f01c57b350fe Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource En la pandemia de COVID-19 no hay camas para todos, ¿a quién tratamos? Creator An entity primarily responsible for making the resource Jesus M. Culebras, Ignacio Jáuregui-Lobera, Ángeles Franco-López Description An account of the resource España está sufriendo en el momento actual una pandemia sin precedentes desde hace más de un siglo. Los  gobiernos de todos los países están realizando programas de distanciamiento social para intentar aplanar la  curva de incidencia y poder tratar a todos los pacientes. Así y todo se anticipa una incidencia muy elevada de la  infección por COVID-19 que obligará ante la falta de medios para todos, a seleccionar mediante triaje ético a los  pacientes. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource COVID-19, coronavirus, pandemia, Triaje Identifier An unambiguous reference to the resource within a given context DOI: 10.19230/jonnpr.3664 Source A related resource from which the described resource is derived Jounal of Negative and No Positive Results Publisher An entity responsible for making the resource available Asociación Para el Progreso de la Biomedicina Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Science, Medicine Language A language of the resource EN, ES https://www.socictopen.socict.org/files/original/2313ca50f8df6d9f9c84316019d1216b.pdf f62c3a3c233e9a7ae0a43a814fde042a Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A case-crossover analysis of the impact of weather on primary cases of Middle East respiratory syndrome Creator An entity primarily responsible for making the resource Emma G. Gardner, David Kelton, Zvonimir Poljak, Maria Van Kerkhove, Sophie Von Dobschuetz, Amy L. Greer Description An account of the resource Abstract Background Middle East respiratory syndrome coronavirus (MERS-CoV) is endemic in dromedary camels in the Arabian Peninsula, and zoonotic transmission to people is a sporadic event. In the absence of epidemiological data on the reservoir species, patterns of zoonotic transmission have largely been approximated from primary human cases. This study aimed to identify meteorological factors that may increase the risk of primary MERS infections in humans. Methods A case-crossover design was used to identify associations between primary MERS cases and preceding weather conditions within the 2-week incubation period in Saudi Arabia using univariable conditional logistic regression. Cases with symptom onset between January 2015 – December 2017 were obtained from a publicly available line list of human MERS cases maintained by the World Health Organization. The complete case dataset (N = 1191) was reduced to approximate the cases most likely to represent spillover transmission from camels (N = 446). Data from meteorological stations closest to the largest city in each province were used to calculate the daily mean, minimum, and maximum temperature (οC), relative humidity (%), wind speed (m/s), and visibility (m). Weather variables were categorized according to strata; temperature and humidity into tertiles, and visibility and wind speed into halves. Results Lowest temperature (Odds Ratio = 1.27; 95% Confidence Interval = 1.04–1.56) and humidity (OR = 1.35; 95% CI = 1.10–1.65) were associated with increased cases 8–10 days later. High visibility was associated with an increased number of cases 7 days later (OR = 1.26; 95% CI = 1.01–1.57), while wind speed also showed statistically significant associations with cases 5–6 days later. Conclusions Results suggest that primary MERS human cases in Saudi Arabia are more likely to occur when conditions are relatively cold and dry. This is similar to seasonal patterns that have been described for other respiratory diseases in temperate climates. It was hypothesized that low visibility would be positively associated with primary cases of MERS, however the opposite relationship was seen. This may reflect behavioural changes in different weather conditions. This analysis provides key initial evidence of an environmental component contributing to the development of primary MERS-CoV infections. Date A point or period of time associated with an event in the lifecycle of the resource 2019 Subject The topic of the resource Middle East respiratory syndrome, MERS-CoV, case-crossover, Veterinary public health Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s12879-019-3729-5 Source A related resource from which the described resource is derived BMC Infectious Diseases Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Infectious and parasitic diseases Language A language of the resource EN https://www.socictopen.socict.org/files/original/63e34a074f8b5b28e9c11b6414d25762.pdf 95ce12b9be92730593cb6e11d7db19d8 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource MetaCon: unsupervised clustering of metagenomic contigs with probabilistic k-mers statistics and coverage Creator An entity primarily responsible for making the resource JIA QIAN, Matteo Comin Description An account of the resource Abstract Motivation Sequencing technologies allow the sequencing of microbial communities directly from the environment without prior culturing. Because assembly typically produces only genome fragments, also known as contigs, it is crucial to group them into putative species for further taxonomic profiling and down-streaming functional analysis. Taxonomic analysis of microbial communities requires contig clustering, a process referred to as binning, that is still one of the most challenging tasks when analyzing metagenomic data. The major problems are the lack of taxonomically related genomes in existing reference databases, the uneven abundance ratio of species, sequencing errors, and the limitations due to binning contig of different lengths. Results In this context we present MetaCon a novel tool for unsupervised metagenomic contig binning based on probabilistic k-mers statistics and coverage. MetaCon uses a signature based on k-mers statistics that accounts for the different probability of appearance of a k-mer in different species, also contigs of different length are clustered in two separate phases. The effectiveness of MetaCon is demonstrated in both simulated and real datasets in comparison with state-of-art binning approaches such as CONCOCT, MaxBin and MetaBAT. Date A point or period of time associated with an event in the lifecycle of the resource 2019 Subject The topic of the resource metagenomics, Unsupervised clustering, K-mers statistics Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s12859-019-2904-4 Source A related resource from which the described resource is derived BMC Bioinformatics Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Biology (General), Computer applications to medicine. Medical informatics Language A language of the resource EN https://www.socictopen.socict.org/files/original/1f82bfeeb384a5c0411a10f61f05b769.pdf 7d9563d1b59ded5bb5b58ddef49653ef Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource La libertà di culto al tempo del coronavirus Creator An entity primarily responsible for making the resource Nicola Colaianni Description An account of the resource SOMMARIO: 1. La decretazione senza legge sul coronavirus - 2. Le disposizioni sulla libertà di culto - 3. Il limite della tutela della salute e l’inconferenza delle discipline pattizie - 4. Il bilanciamento delle specifiche misure - 5. Il rapporto laico tra Stato e confessioni religiose: un’icona. The freedom of worship in coronavirus times ABSTRACT: The state of emergency by coronavirus drove the italian government to legislate by means of decrees without law, that provided strong limits to constitutional rights as, among others, the freedom of worship. Particularly they banned masses coram populo in the churches and on occasion of funeral service in order to safeguard the health care. This paper aims to demonstrate that the Concordat beetween State and Church, well as the accords with other fellowships, is another matter with regard to a higher collective interest, constitutionally protected, like the halth care. The paper points out, moreover, how the adopted measures are reasonable and proportionate and, finally, the new leadership, respecting the secular order, held in this aspect by the italian Church, following the prints of pope Francis. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context DOI: Source A related resource from which the described resource is derived Stato, Chiese e Pluralismo Confessionale Publisher An entity responsible for making the resource available Università degli Studi di Milano Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Law Language A language of the resource IT https://www.socictopen.socict.org/files/original/c3d649e51b434abe23e5a9f1cf1bbd2e.pdf e9693c4ed390dcecea2de9b7d5a17fd1 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource COVID-19 Pandemic and Radiology: Facts, Resources, and Suggestions for Near-term Protocols Creator An entity primarily responsible for making the resource Jeffrey Mendel Description An account of the resource The purpose of this editorial is to offer a synopsis about the COVID-19 pandemic and to present some recommendations as they relate to the practice of radiology, focused on Low- and Middle-Income Countries (LMIC). Health departments and professional bodies around the world are issuing guidelines for personal protection and patient handling in radiology. In High-Income Countries (HIC) these guidelines have been periodically updated as knowledge evolves about COVID-19 viral disease (1,2,3). The HIC guidelines assume the availability of portable radiography, ability to reserve one of many CT scanners only for COVID-19 patients, supply of a whole range of personal protective equipment (PPE), sanitizers and a variety of disinfecting chemicals. Nevertheless the exponential spread of COVID-19 is causing shortages of supplies in regions with supposedly “unlimited” resources. Much continues to be published on the rapidly evolving body of knowledge on this highly contagious respiratory infection, with a much higher mortality compared to the Influenza-A virus responsible for respiratory disease during “flu season” (4). Concurrently, speculative and false information is being exchanged on social media by “experts” from all walks of life offering “science” on the current pandemic. We urge our readers to use resources from established health organizations and universities, many of whom are referenced in this editorial. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource COVID-19, coronavirus, global radiology, LMIC Identifier An unambiguous reference to the resource within a given context DOI: 10.7191/jgr.2020.1100 Source A related resource from which the described resource is derived Journal of Global Radiology Publisher An entity responsible for making the resource available University of Massachusetts Medical School Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medical physics. Medical radiology. Nuclear medicine Language A language of the resource EN https://www.socictopen.socict.org/files/original/8c6b77c27a2233ec05961c914f061b20.pdf 95c6d3d64eede584c7c7ccd383b3ed4a Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Using Biosecurity Measures to Combat Respiratory Disease in Cattle: The Norwegian Control Program for Bovine Respiratory Syncytial Virus and Bovine Coronavirus Creator An entity primarily responsible for making the resource Maria Stokstad, Thea Blystad Klem, Mette Myrmel, Veslemøy Sunniva Oma, Ingrid Toftaker, Olav Østerås, Ane Nødtvedt Description An account of the resource Bovine respiratory disease (BRD) cause important health problems in all cattle husbandry systems. It contributes substantially to the use of antimicrobial substances and compromises animal welfare and the sustainability of the cattle industry. The existing preventive measures of BRD focus at the individual animal or herd level and include vaccination, mass treatment with antimicrobials and improvement of the animal's environment and general health status. Despite progress in our understanding of disease mechanism and technological development, the current preventive measures are not sufficiently effective. Thus, there is a need for alternative, sustainable strategies to combat the disease. Some of the primary infectious agents in the BRD complex are viruses that are easily transmitted between herds such as bovine respiratory syncytial virus (BRSV) and bovine coronavirus (BCoV). This conceptual analysis presents arguments for combatting BRD through improved external biosecurity in the cattle herds. As an example of a population-based approach to the control of BRD, the Norwegian BRSV/BCoV control-program is presented. The program is voluntary and launched by the national cattle industry. The core principle is classification of herds based on antibody testing and subsequent prevention of virus-introduction through improved biosecurity measures. Measures include external herd biosecurity barriers and regulations in the organization of animal trade to reduce direct and indirect transmission of virus. Improved biosecurity in a large proportion of herds will lead to a considerable effect at the population level. Positive herds are believed to gain freedom by time if new introduction is avoided. Vaccination is not used as part of the program. Dissemination of information to producers and veterinarians is essential. We believe that reducing the incidence of BRD in cattle is essential and will lead to reduced antimicrobial usage while at the same time improving animal health, welfare and production. Alternative approaches to the traditional control measures are needed. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Bovine Respiratory Disease, winter dysentery, Disease control, population-based, prevention, BRSV Identifier An unambiguous reference to the resource within a given context DOI: 10.3389/fvets.2020.00167 Source A related resource from which the described resource is derived Frontiers in Veterinary Science Publisher An entity responsible for making the resource available Frontiers Media S.A. Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Veterinary medicine Language A language of the resource EN https://www.socictopen.socict.org/files/original/6adb7644f5e459de2bc387f29b5ad70f.pdf dd6d37a76d4d4d0b7751504d1b6c5138 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An investor's perspective on infectious diseases and their influence on market behavior Creator An entity primarily responsible for making the resource Yi-Hsien Wang, Fu-Ju Yang, Li-Je Chen Description An account of the resource Recently, increasing number of infectious diseases has swept the world. The outbreak of a contagious disease not only affects the health and lives of people but also causes economic growth to stagnate. Business in the biotechnology industry is closely related to infectious diseases but what exactly is the information value of the outbreak of infectious disease on biotechnology? This study investigates how such outbreaks can affect the performance of biotechnology stocks. In the past 10 years, major statutory infectious diseases in Taiwan have included ENTEROVIRUS 71, DENGUE FEVER, SARS and H1N1. The empirical results indicate that there is a significant abnormal return on company shares in Taiwan's biotechnology industry because of statutory infectious epidemics. The relationship between the financial ratios of biotechnology companies and abnormal returns was analyzed as part of this research. The results show that the influence on R&D ratios, current ratios and assets are significant. Empirical findings reveal that the investors rationally measure operating conditions of the biotechnology companies during outbreaks of major infectious disease and adjust portfolio allocation accordingly. Date A point or period of time associated with an event in the lifecycle of the resource 2013 Subject The topic of the resource biotechnology industry, infectious diseases, investor's perspective, Abnormal Returns, stock performance, risk factor Identifier An unambiguous reference to the resource within a given context DOI: 10.3846/16111699.2012.711360 Source A related resource from which the described resource is derived Journal of Business Economics and Management Publisher An entity responsible for making the resource available Vilnius Gedinimas Technical University Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Business Language A language of the resource EN https://www.socictopen.socict.org/files/original/bddb8939ae954fcd0f4c1fc2f8276940.pdf a822266dcb7f82645dcd0abef8e14d78 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Isolation and Identification of Porcine Deltacoronavirus and Alteration of Immunoglobulin Transport Receptors in the Intestinal Mucosa of PDCoV-Infected Piglets Creator An entity primarily responsible for making the resource Shaoju Qian, Xiangchao Jia, Zi-tong Gao, Weida Zhang, Qingrong Xu, Zili Li Description An account of the resource Porcine deltacoronavirus (PDCoV) is a porcine enteropathogenic coronavirus that causes watery diarrhea, vomiting, and frequently death in piglets, causing serious economic losses to the pig industry. The strain CHN-JS-2017 was isolated and identified by cytopathology, immunofluorescence assays, transmission electron microscopy, and sequence analysis. A nucleotide sequence alignment showed that the whole genome of CHN-JS-2017 is 97.4%−99.6% identical to other PDCoV strains. The pathogenicity of the CHN-JS-2017 strain was investigated in orally inoculated five-day-old piglets; the piglets developed acute, watery diarrhea, but all recovered and survived. CHN-JS-2017 infection-induced microscopic lesions were observed, and viral antigens were detected mainly by immunohistochemical staining in the small intestine. The neonatal Fc receptor (FcRn) and polymeric immunoglobulin receptor (pIgR) are crucial immunoglobulin (Ig) receptors for the transcytosis ofimmunoglobulin G (IgG), IgA, or IgM. Importantly, CHN-JS-2017 infected five-day-old piglets could significantly down-regulate the expression of FcRn, pIgR, and nuclear factor-kappa B (NF-κB)in the intestinal mucosa. Note that the level of FcRn mRNA in the intestinal mucosa of normal piglets is positively correlated with pIgR and NF-κB. At the same time, the expressions of FcRn, pIgR, and NF-κB mRNA are also positively correlated in infected piglets. These results may help explain the immunological and pathological changes associated with porcine deltacorononirus infection. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource porcine deltacoronavirus, neonatal Fc receptor, polymeric immunoglobulin receptor, NF-κB Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/v12010079 Source A related resource from which the described resource is derived Viruses Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Microbiology Language A language of the resource EN