140 10 20655 https://www.socictopen.socict.org/files/original/7d495ef993a57598fd4ac612f0881872.pdf 7415e9d38b403ab646539fb36fd0ef41 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 Synthesis and biological evaluation of small molecule modulators of CDK8/Cyclin C complex with phenylaminoquinoline scaffold Creator An entity primarily responsible for making the resource Mohammad M. Al-Sanea Description An account of the resource Background CDK8/CycC complex has kinase activity towards the carboxyterminal domain of RNA polymerase II, and contributes to the regulation of transcription via association with the mediator complex. Different human malignancies, mainly colorectal and gastric cancers, were produced as a result of overexpression of CDK8/CycC in the mediator complex. Therefore, CDK8/CycC complex represents as a cancer oncogene and it has become a potential target for developing CDK8/CycC modulators. Methods A series of nine 4-phenylaminoquinoline scaffold-based compounds 5a-i was synthesized, and biologically evaluated as potential CDK8/CycC complex inhibitors. Results The scaffold substituent effects on the intrinsic inhibitory activity toward CDK8/CycC complex are addressed trying to present a novel outlook of CDK8/CycC Complex inhibitors with 4-phenylaminoquinoline scaffold in cancer therapy. The secondary benzenesulfonamide analogues proved to be the most potent compounds in suppressing CDK8/CycC enzyme, whereas, their primary benzenesulfonamide analogues showed inferior activity. Moreover, the benzene reversed sulfonamide analogues were totally inactive. Discussion The titled scaffold showed promising inhibitory activity data and there is a crucial role of un/substituted sulfonamido group for CDK8/CycC complex inhibitory activity. Compound 5d showed submicromolar potency against CDK8/CycC (IC50 = 0.639 µM) and it can be used for further investigations and to design another larger library of phenylaminoquinoline scaffold-based analogues in order to establish detailed SARs. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource CDK8/CycC, cancer, sulfonamide, kinase inhibition, Synthesis, quinoline Identifier An unambiguous reference to the resource within a given context DOI: 10.7717/peerj.8649 Source A related resource from which the described resource is derived PeerJ Publisher An entity responsible for making the resource available PeerJ Inc. Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine Language A language of the resource EN https://www.socictopen.socict.org/files/original/93d9649dbef3498103e50af081b8d170.pdf e21a3181976332f0263394e47833cf34 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 k-mer grammar analysis to uncover maize regulatory architecture Creator An entity primarily responsible for making the resource Maria Katherine Mejia-Guerra, Edward S. Buckler Description An account of the resource Abstract Background Only a small percentage of the genome sequence is involved in regulation of gene expression, but to biochemically identify this portion is expensive and laborious. In species like maize, with diverse intergenic regions and lots of repetitive elements, this is an especially challenging problem that limits the use of the data from one line to the other. While regulatory regions are rare, they do have characteristic chromatin contexts and sequence organization (the grammar) with which they can be identified. Results We developed a computational framework to exploit this sequence arrangement. The models learn to classify regulatory regions based on sequence features - k-mers. To do this, we borrowed two approaches from the field of natural language processing: (1) “bag-of-words” which is commonly used for differentially weighting key words in tasks like sentiment analyses, and (2) a vector-space model using word2vec (vector-k-mers), that captures semantic and linguistic relationships between words. We built “bag-of-k-mers” and “vector-k-mers” models that distinguish between regulatory and non-regulatory regions with an average accuracy above 90%. Our “bag-of-k-mers” achieved higher overall accuracy, while the “vector-k-mers” models were more useful in highlighting key groups of sequences within the regulatory regions. Conclusions These models now provide powerful tools to annotate regulatory regions in other maize lines beyond the reference, at low cost and with high accuracy. Date A point or period of time associated with an event in the lifecycle of the resource 2019 Subject The topic of the resource Gene regulatory regions, machine learning models, Crops genomics Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s12870-019-1693-2 Source A related resource from which the described resource is derived BMC Plant Biology 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 Botany Language A language of the resource EN https://www.socictopen.socict.org/files/original/6a261a6281df376df42a9a8dcdcec4e0.pdf 222e8af8be174f7c8b3113ce628c39f4 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 Unexpected endemism in the Daphnia longispina complex (Crustacea: Cladocera) in Southern Siberia. Creator An entity primarily responsible for making the resource Elena I. Zuykova, Nickolai A Bochkarev, Derek J. Taylor, Alexey A. Kotov Description An account of the resource The biological significance of regional cladoceran morphotypes in the montane regions of the central Palearctic remains poorly understood. In the Holarctic Daphnia longispina complex (Cladocera: Daphniidae), several variants, lineages and species have been proposed as endemic for Southern Siberia. Daphnia turbinata Sars, for example, named after its unusual head shape, is known only from Southern Siberia. Here we sequence DNA of Daphnia from three mitochondrial genes (12S rRNA, 16S rRNA, and NADH dehydrogenase subunit 2, ND2) from 57 localities in Russia and Mongolia (the majority being from Southern Siberia) and place them in evolutionary context with existing data. Our aim was to examine regional endemism of the Daphnia longispina complex in Southern Siberian; to improve the phylogenetic understanding with improved taxonomic and regional sampling, and to better understand the influence of Pleistocene glaciation on the biogeography of these lineages. At least three lineages showed genetic evidence for endemism in Southern Siberia. There was strong support for D. turbinata as a sister lineage to to D. longispina/D. dentifera. Another endemic, Siberian D. cf. longispina, is a sister group to the longispina group in general. Within D. longispina s. str. there was an endemic Siberian clade with a western range boundary near the Yenisei River Basin. Gene flow estimates among populations (based on FST values) were very low for clades of D. longispina on a regional (the original 12S dataset), and on a pan-Eurasian (the extended 12S dataset) scale. Negative values of Fu's FS and Tajima's D tests prevailed for the species examined with significant values found for two D. longispina clades, D. dentifera, D. galeata and D. cristata. Our results support the notion that Southern Siberia is an important biogeographic region for cladocerans as it contained unexpected diversity of endemics (such as D. turbinata, D. cf. longispina and lineages of D. umbra and D. longsipina s.str.) and from being the geographic meeting place of expanding postglacial lineages from eastern and western refugia. Date A point or period of time associated with an event in the lifecycle of the resource 2019 Identifier An unambiguous reference to the resource within a given context DOI: 10.1371/journal.pone.0221527 Source A related resource from which the described resource is derived PLoS ONE Publisher An entity responsible for making the resource available Public Library of Science (PLoS) 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 https://www.socictopen.socict.org/files/original/1f7a4351d76ee6b13206e76f17843f28.pdf 1aa707a6d5213d6ed25fb483ae6102af 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 The origin, transmission and clinical therapies on coronavirus disease 2019 (COVID-19) outbreak – an update on the status Creator An entity primarily responsible for making the resource Yanrong Guo, Qing-Dong Cao, Zhongsi Hong, Yuan-Yang Tan, Shoudeng Chen, Hongjun Jin, Kai Sen Tan, Deyun Wang, Yan Yan Description An account of the resource Abstract An acute respiratory disease, caused by a novel coronavirus (SARS-CoV-2, previously known as 2019-nCoV), the coronavirus disease 2019 (COVID-19) has spread throughout China and received worldwide attention. On 30 January 2020, World Health Organization (WHO) officially declared the COVID-19 epidemic as a public health emergency of international concern. The emergence of SARS-CoV-2, since the severe acute respiratory syndrome coronavirus (SARS-CoV) in 2002 and Middle East respiratory syndrome coronavirus (MERS-CoV) in 2012, marked the third introduction of a highly pathogenic and large-scale epidemic coronavirus into the human population in the twenty-first century. As of 1 March 2020, a total of 87,137 confirmed cases globally, 79,968 confirmed in China and 7169 outside of China, with 2977 deaths (3.4%) had been reported by WHO. Meanwhile, several independent research groups have identified that SARS-CoV-2 belongs to β-coronavirus, with highly identical genome to bat coronavirus, pointing to bat as the natural host. The novel coronavirus uses the same receptor, angiotensin-converting enzyme 2 (ACE2) as that for SARS-CoV, and mainly spreads through the respiratory tract. Importantly, increasingly evidence showed sustained human-to-human transmission, along with many exported cases across the globe. The clinical symptoms of COVID-19 patients include fever, cough, fatigue and a small population of patients appeared gastrointestinal infection symptoms. The elderly and people with underlying diseases are susceptible to infection and prone to serious outcomes, which may be associated with acute respiratory distress syndrome (ARDS) and cytokine storm. Currently, there are few specific antiviral strategies, but several potent candidates of antivirals and repurposed drugs are under urgent investigation. In this review, we summarized the latest research progress of the epidemiology, pathogenesis, and clinical characteristics of COVID-19, and discussed the current treatment and scientific advancements to combat the epidemic novel coronavirus. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource clinical characteristics, Coronavirus disease 2019 (COVID-19), origin, SARS-CoV-2, therapy, Transmission Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s40779-020-00240-0 Source A related resource from which the described resource is derived Military Medical Research 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 Medicine (General), Military Science Language A language of the resource EN https://www.socictopen.socict.org/files/original/239d283c316a648e9c9949032167b7df.pdf 4da4c774436e6609371291474cf4ed5f 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 Smoking Upregulates Angiotensin-Converting Enzyme-2 Receptor: A Potential Adhesion Site for Novel Coronavirus SARS-CoV-2 (Covid-19) Creator An entity primarily responsible for making the resource Samuel James Brake, Kathryn Barnsley, Wenying Lu, Kielan Darcy McAlinden, Mathew Suji Eapen, Sukhwinder Singh Sohal Description An account of the resource The epicenter of the original outbreak in China has high male smoking rates of around 50%, and early reported death rates have an emphasis on older males, therefore the likelihood of smokers being overrepresented in fatalities is high. In Iran, China, Italy, and South Korea, female smoking rates are much lower than males. Fewer females have contracted the virus. If this analysis is correct, then Indonesia would be expected to begin experiencing high rates of Covid-19 because its male smoking rate is over 60% (Tobacco Atlas). Smokers are vulnerable to respiratory viruses. Smoking can upregulate angiotensin-converting enzyme-2 (ACE2) receptor, the known receptor for both the severe acute respiratory syndrome (SARS)-coronavirus (SARS-CoV) and the human respiratory coronavirus NL638. This could also be true for new electronic smoking devices such as electronic cigarettes and “heat-not-burn” IQOS devices. ACE2 could be a novel adhesion molecule for SARS-CoV-2 causing Covid-19 and a potential therapeutic target for the prevention of fatal microbial infections, and therefore it should be fast tracked and prioritized for research and investigation. Data on smoking status should be collected on all identified cases of Covid-19. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource ace2 receptor, SARS-CoV-2, COVID-19, smoking, COPD, electronic cigarettes, vaping, heat-not-burn, IQOS Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/jcm9030841 Source A related resource from which the described resource is derived Journal of Clinical Medicine 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 Medicine Language A language of the resource EN https://www.socictopen.socict.org/files/original/b70edf29b7668b572a33b4e243b52ac7.pdf 982ccd66a0daa7dba64f115042ce1ed8 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 Prophylactic Recommendation for Healthcare Workers in COVID-19 Pandemic Creator An entity primarily responsible for making the resource Guitti Pourdowlat, Parnaz Panahi, Parichehr Pooransari, Fariba Ghorbani Description An account of the resource During COVID-19 pandemic, it seems that healthcare workers (HWs) are more prone to the infection than general population. Indeed, a high viral load atmosphere and infected medical equipment are sources for spreading the disease. Many HWs should care for critically ill COVID-19 patients in the intensive care units (ICUs) which are one of the most contaminated areas. However, despite the adequate protections, HWs are still exposed to the coronavirus. Moreover, some procedures such as tracheal intubation increase the risk of infection. Overall, the probability of contamination in HWs is three times more than that of other people. According to Keshavan et al., about 3300 Chinese HWs have been infected by COVID-19, with a mortality rate of 0.4%. In Iran, we have a large number of affected HWs, with 69 registered deaths until late March 2020. Most of them were young with no previous medical history. So we have to improve protection and plan additional arrangements against COVID-19. There are several mechanisms for the antiviral activity of hydroxychloroquine. This drug is a weak base that concentrates on the intracellular sections including endosome and lysosome; so, viral replication in the phase of fusion and uncoating will be stopped.  Also, hydroxychloroquine can change the ACE2 glycosylation and inhibits both S-protein binding and phagocytosis. The last mechanism would be the suppressing effect on cytokine production and the immunomodulatory effect of the drug. Based on in-vitro studies of chloroquine on SARS-CoV-1, its effective role as a prophylactic agent and a post-infection treatment has been raised. According to another cell-culture study, the preventive effect of the drug is estimated to be 24 hours before and 5 hours after the contamination. The weekly dose of 500 mg chloroquine, which is used for malaria prophylaxis, will result in a concentration below the EC50, which is not enough for inhibition of the novel coronavirus. But the minimum dosage, which is used for rheumatoid arthritis treatment (250mg daily) will result in plasma concentrations higher than EC50, which may be sufficient in this regard. Regarding this pharmacokinetics and in-vitro investigations a double-blind, randomized, placebo-controlled trial using chloroquine as a prophylactic agent for SARS-CoV-2 infection is ongoing. The recommended dose is a loading dose of 10 mg/kg from base drug followed by 150 mg daily (250 mg chloroquine phosphate salt). Subsequently, the number of infected patients will be assessed after 3 months. Another running clinical trial is a phase III triple blinded one employing hydroxychloroquine with 200mg daily dose for 60 days and the outcome as well as the rate of symptomatic infected patients will be evaluated. There is also another ongoing study on hydroxychloroquine as a COVID-19 post-exposure prophylactic agent prescribed within 3 days of either a HWs or household contact. The recommended dose is 800mg once, followed by 600 mg during 6 to 8 hours, then 600mg once a day for 4 consecutive days. Finally, the rate and severity of COVID-19 infections are compared. The study could probably show that 200-400mg of hydroxychloroquine per day is a reasonable prophylactic regimen for the exposed HWs. To be more precise, our experience on the rheumatologic patients who tool 200 mg per day hydroxychloroquine, as well as the medical workers who received the same dose for prophylaxis against the novel coronavirus showed that hydroxychloroquine with a 200 mg/day dose can have a relative prophylactic effect on COVID-19. According to our data, the few cases who received 200mg of hydroxychloroquine per day, showed mild to moderate symptoms with no severe manifestations. However, the prophylactic dose of 400mg per day may be accompanied by some drug interactions and adverse effects in the long term; so 200mg of hydroxychloroquine is a rational prophylactic dose for practitioners who are exposed to the high viral load environment. 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: 10.22114/ajem.v0i0.362 Source A related resource from which the described resource is derived Advanced Journal of Emergency Medicine Publisher An entity responsible for making the resource available Tehran University of Medical Sciences Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine Language A language of the resource EN https://www.socictopen.socict.org/files/original/7dfc8255e61df152dfa1ae58524595d8.pdf 259ceccb7e0f7604cf4aef1cdf87465b 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 AS A TOOL OF INFORMATION CONFRONTATION: RUSSIA’S APPROACH Creator An entity primarily responsible for making the resource Sergey Sukhankin Description An account of the resource As the rest of the world struggles to cope with COVID-19, Russia is churning out propaganda that blames the West for creating the virus. Propaganda is, of course, nothing new for Russia; such practices have a long history dating back to the Soviet era. What’s different now, though, is that with the internet and social media, Russia has many more ways to propagate fake news and conspiracy theories, and to reach susceptible audiences both inside and outside the country.Russia is using social media accounts, fake news outlets, state-controlled global satellite media, bloggers, pseudo-scientists and supposed scholars, experts and Russians living in the West to disseminate its lies and distortions. The European Union’s External Action Service reports almost 80 incidents of disinformation since the end of January.However, Russia has a more insidious goal than merely disseminating propaganda for the sake of it. President Vladimir Putin, who has labelled the fall of the Soviet Union nearly 30 years ago as “the greatest geopolitical catastrophe” of the 20th century, is determined to show the international community that Russia is no longer the weak creature it was post-Soviet collapse. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Disinformation, fake news, Russia, China, information confrontation, Canada, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: Source A related resource from which the described resource is derived The School of Public Policy Publications Publisher An entity responsible for making the resource available University of Calgary Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Political institutions and public administration (General) Language A language of the resource EN https://www.socictopen.socict.org/files/original/6151e42ab183319dbd40310bc4cd7aa5.pdf 7bb64bf4a069f2b8c36b7deb29d361f5 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 Prediction of Epidemic Spread of the 2019 Novel Coronavirus Driven by Spring Festival Transportation in China: A Population-Based Study Creator An entity primarily responsible for making the resource Changyu Fan, Linping Liu, Wei Guo, Anuo Yang, Chenchen Ye, Maitixirepu Jilili, Meina Ren, Peng Xu, Hexing Long, Yufan Wang Description An account of the resource After the 2019 novel coronavirus (2019-nCoV) outbreak, we estimated the distribution and scale of more than 5 million migrants residing in Wuhan after they returned to their hometown communities in Hubei Province or other provinces at the end of 2019 by using the data from the 2013−2018 China Migrants Dynamic Survey (CMDS). We found that the distribution of Wuhan’s migrants is centred in Hubei Province (approximately 75%) at a provincial level, gradually decreasing in the surrounding provinces in layers, with obvious spatial characteristics of circle layers and echelons. The scale of Wuhan’s migrants, whose origins in Hubei Province give rise to a gradient reduction from east to west within the province, and account for 66% of Wuhan’s total migrants, are from the surrounding prefectural-level cities of Wuhan. The distribution comprises 94 districts and counties in Hubei Province, and the cumulative percentage of the top 30 districts and counties exceeds 80%. Wuhan’s migrants have a large proportion of middle-aged and high-risk individuals. Their social characteristics include nuclear family migration (84%), migration with families of 3−4 members (71%), a rural household registration (85%), and working or doing business (84%) as the main reason for migration. Using a quasi-experimental analysis framework, we found that the size of Wuhan’s migrants was highly correlated with the daily number of confirmed cases. Furthermore, we compared the epidemic situation in different regions and found that the number of confirmed cases in some provinces and cities in Hubei Province may be underestimated, while the epidemic situation in some regions has increased rapidly. The results are conducive to monitoring the epidemic prevention and control in various regions. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource 2019 novel coronavirus, the origins of wuhan’s migrants, population size, social characteristics of floating population, quasi-experimental approach Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/ijerph17051679 Source A related resource from which the described resource is derived International Journal of Environmental Research and Public Health 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 Medicine Language A language of the resource EN https://www.socictopen.socict.org/files/original/533c8dcaecbb29b107458b2210074d57.pdf ca941dabc43f2a867ffc23a41b57041d 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 Transcriptome analysis of PK-15 cells in innate immune response to porcine deltacoronavirus infection. Creator An entity primarily responsible for making the resource Shan Jiang, Fuqiang Li, Xiuli Li, Li-li WANG, Li Zhang, Chao Lu, Li Zheng, Minghua Yan Description An account of the resource Porcine deltacoronavirus (PDCoV) is a newly emerged swine enteropathogenic coronavirus affecting pigs of all ages and causing diarrhea problems. Research findings indicate that PDCoV has evolved strategies to escape innate immune response in host cells, but mechanism of PDCoV in innate immune modulation is not well understood. In this study, we report our findings on identifying the alterations of host cell innate immune response affected by PDCoV infection and exploring the gene expression profiles of PK-15 cells at 0, 24, and 36 h PDCoV post infection by RNA sequencing. A total of 3,762 and 560 differentially expressed genes (DEGs) were screened by comparison of uninfected PK-15 cells and infected PK-15 cells at 24 h post infection (hpi) (INF_24h versus NC), and also comparison of infected PK-15 cells between 24 and 36 hpi (INF_36h versus INF_24h), which included 156 and 23 porcine innate immune-related genes in the DEGs of INF_24h versus NC and INF_36h versus INF_24h, respectively. Gene Ontology function classification and Kyoto Encyclopedia of Genes and Genomes signaling pathway enrichment analysis were performed based on the DEGs that exhibited the same expression tendencies with most of the innate immune-associated genes among these PK-15 cell samples described above. The enrichment results indicated that extensive gene functions and signaling pathways including innate immune-associated functions and pathways were affected by PDCoV infection. Particularly, 4 of 5 innate immune signaling pathways, which were primarily affected by PDCoV, played important roles in I-IFN's antiviral function in innate immune response. Additionally, 16 of the host cell endogenous miRNAs were predicted as potential contributors to the modulation of innate immune response affected by PDCoV. Our research findings indicated that the innate immune-associated genes and signaling pathways in PK-15 cells could be modified by the infection of PDCoV, which provides a fundamental foundation for further studies to better understand the mechanism of PDCoV infections, so as to effectively control and prevent PDCoV-induced swine diarrheal disease outbreaks. Date A point or period of time associated with an event in the lifecycle of the resource 2019 Identifier An unambiguous reference to the resource within a given context DOI: 10.1371/journal.pone.0223177 Source A related resource from which the described resource is derived PLoS ONE Publisher An entity responsible for making the resource available Public Library of Science (PLoS) 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 https://www.socictopen.socict.org/files/original/0be57ef8095e21bdb00f3cdc62d5e43e.pdf 66bb963e6f0d767ab95b89b5bdcd0a15 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 Estimation of temporal covariances in pathogen dynamics using Bayesian multivariate autoregressive models. Creator An entity primarily responsible for making the resource Colette Mair, Sema Nickbakhsh, Richard Reeve, Jim McMenamin, Arlene Reynolds, Rory N Gunson, Pablo R Murcia, Louise Matthews Description An account of the resource It is well recognised that animal and plant pathogens form complex ecological communities of interacting organisms within their hosts, and there is growing interest in the health implications of such pathogen interactions. Although community ecology approaches have been used to identify pathogen interactions at the within-host scale, methodologies enabling robust identification of interactions from population-scale data such as that available from health authorities are lacking. To address this gap, we developed a statistical framework that jointly identifies interactions between multiple viruses from contemporaneous non-stationary infection time series. Our conceptual approach is derived from a Bayesian multivariate disease mapping framework. Importantly, our approach captures within- and between-year dependencies in infection risk while controlling for confounding factors such as seasonality, demographics and infection frequencies, allowing genuine pathogen interactions to be distinguished from simple correlations. We validated our framework using a broad range of synthetic data. We then applied it to diagnostic data available for five respiratory viruses co-circulating in a major urban population between 2005 and 2013: adenovirus, human coronavirus, human metapneumovirus, influenza B virus and respiratory syncytial virus. We found positive and negative covariances indicative of epidemiological interactions among specific virus pairs. This statistical framework enables a community ecology perspective to be applied to infectious disease epidemiology with important utility for public health planning and preparedness. Date A point or period of time associated with an event in the lifecycle of the resource 2019 Identifier An unambiguous reference to the resource within a given context DOI: 10.1371/journal.pcbi.1007492 Source A related resource from which the described resource is derived PLoS Computational Biology Publisher An entity responsible for making the resource available Public Library of Science (PLoS) 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) Language A language of the resource EN