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468 results for “MERS”
Monitoring and Early Response Evaluation Using HPV DNA - A Study on Patients With HPV-positive Throat Cancer (MER-HPV)
ClinicalTrials.gov study NCT05649865. IPD Sharing: NO. Countries: 1. Publications: 7.
Anti-MERS-CoV Convalescent Plasma Therapy
ClinicalTrials.gov study NCT02190799. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Safety and Immunogenicity of the Candidate Vaccine MVA-MERS-S_DF-1 Against MERS
ClinicalTrials.gov study NCT04119440. IPD Sharing: Not stated. Countries: 2. Publications: 1.
Safety and Immunogenicity of a Candidate MERS-CoV Vaccine (MERS001)
ClinicalTrials.gov study NCT03399578. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Phylo-k-mers databases for SHERPAS
Open the record for dataset details and reuse information.
Data from: Tracing coco de mer’s reproductive history: pollen and nutrient limitation reduce fecundity
Open the record for dataset details and reuse information.
Data from: Association between severity of MERS-CoV infection and incubation period
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Innate and adaptive immune genes associated with MERS-CoV infection in dromedaries
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Selectomic and Evolvability Analyses of the Highly Pathogenic Betacoronaviruses SARS-CoV-2, SARS-CoV, and MERS-CoV
<p>SARS-CoV-2, the causative agent of COVID-19, is widespread in several countries around the world following its late 2019 emergence in humans. We determined the SARS-CoV-2 selectome by calculating rates of pervasive and episodic diversifying selection for every amino acid coding position in the SARS-CoV-2 genome. To provide context for evolutionary dynamics of a highly pathogenic betacoronavirus following a zoonotic spillover into human hosts, we also determined the selectomes of SARS-CoV and MERS-CoV, and performed evolvability calculations for SARS-CoV-2 based on SARS-CoV. These findings provide a comprehensive view of zoonotic, highly pathogenic betacoronavirus evolutionary dynamics that can be directly applied to diagnostic assay and vaccine design for SARS-CoV-2.</p>
The transcriptomic profiling of COVID-19 compared to SARS, MERS, Ebola, and H1N1
<p><strong>COVID-19 </strong>pandemic is a global crisis that threatens our way of life. As of April 29, 2020, COVID-19 has claimed more than 200,000 lives, with a global mortality rate of ~7% and recovery rate of ~30%. Understanding the interaction of cellular targets to the SARS-CoV2 infection is crucial for therapeutic development. Therefore, the aim of this study was to perform a comparative analysis of transcriptomic signatures of infection of COVID-19 compared to different respiratory viruses (Ebola, H1N1, MERS-CoV, and SARS-CoV), to determine unique anti-COVID1-19 gene signature. We identified for the first time molecular pathways for Heparin-binding, RAGE, miRNA, and PLA2 inhibitors, to be associated with SARS-CoV2 infection. The <em>NRCAM</em> and <em>SAA2</em> that are involved in severe inflammatory response, and <em>FGF1</em> and <em>FOXO1</em>genes, which are associated with immune regulation, were found to be associated with a cellular gene response to COVID-19 infection. Moreover, several cytokines, most significantly the <em>IL-8</em>, <em>IL-6</em>, demonstrated key associations with COVID-19 infection. Interestingly, the only response gene that was shared between the five viral infections was <em>SERPINB1</em>. The PPI study sheds light on genes with high interaction activity that COVID-19 shares with other viral infections. The findings showed that the genetic pathways associated with Rheumatoid arthritis, AGE-RAGE signaling system, Malaria, Hepatitis B, and Influenza A were of high significance. We found that the virogenomic transcriptome of infection, gene modulation of host antiviral responses, and GO terms of both COVID-19 and Ebola are more similar compared to SARS, H1N1, and MERS. This work compares the virogenomic signatures of highly pathogenic viruses and provides valid targets for potential therapy against COVID-19.</p> <p><strong>Supplementary tables and figures</strong></p> <p><strong>Figure 1</strong> : Significant DEGs across the five transcriptomic profiles , corresponding genes, chromosome locations, gene expression and significance scores. The DEGs related genes and chromosomal location (A). The DEGs information regarding host response to COVID-19 (B), Ebola (C), MERS-CoV (D) , H1N1 (E) and SARS-CoV (F) viral infections. The pvalues were scaled were scaled across gene profiles according to maximum and minimum values (ppvalue). The circles size and color is linked to DEGs significance and gene expression (LogFC) scores, respectively.</p> <p><strong>Figure 2 : </strong>Analysis of the gene enrichment of DEGs correlated with the host response to COVID-19. Categories of GO terms (A), significance scores (-10log-pvalue) (B), and number of associated DEGs (C). The COVID-19-associated DEGs (D), status across the studied infectious diseases (E), and selected linked GO terms (F).</p> <p><strong>Figure 3: </strong>The Venn diagram of viral associated genes. The number of uniquely shared genes associated with the host response to COVID-19, Ebola, H1N1, MERS-CoV, and SARS-CoV viral infections.</p> <p><strong>Figure 4: </strong>The Venn diagram of viral associated GO terms. The number of uniquely shared GO terms of DEGs associated with the host response across COVID-19, Ebola, H1N1, MERS-CoV, and SARS-CoV viral infections.</p> <p><strong>Figure 5: </strong>The PPIs network of DEGs associated with COVID-19. The PPI of host expressed DEGs under COVID-19 infection. DEGs shared between COVID-19 and Ebola, H1N1, MERS-CoV, and SARS-CoV are color-coded according to kind of infection. The gene node size is relative to its interaction activity. DEGs are collected in different groups according to their level of interaction activity.<br> </p> <p><strong>Figure 6: </strong>The PPIs network and gene enrichment analysis of highly interactive genes associated with COVID-19.</p> <p><strong>Figure S1 :</strong> The PPI network and gene enrichment analysis of the 173 genes that characterized the host response of COVID-19.</p> <p><strong>Figure S2: </strong>The PPI network and gene enrichment analysis of the 58 genes that are uniquely shared between COVID -19 and Ebola viral infections .</p> <p><strong>Figure S3 : </strong>The PPI network and gene enrichment analysis of the 51 genes that are uniquely shared between COVID-19 and MERS-CoV viral infections.</p> <p><strong>Figure S4 : </strong>The PPI network and gene enrichment analysis of the 31 genes that are uniquely shared between COVID-19, Ebola, and MERS-CoV viral infections.</p> <p><strong>Figure S5</strong> : The gene expression heatmap of genes COVID-19 shares with different viral infections.</p> <p><strong>Figure S6 : </strong>The PPI network and gene enrichment analysis of genes that are differentially expressed across studied viral infections and shared with COVID-19.</p> <p><strong>Table </strong><strong>S</strong><strong>1 : </strong>The data information used in this study.</p> <p><strong>Table S</strong><strong>2</strong>: The information of DEGs associated the host response of COVID-19, Ebola, H1N1, MERS-CoV, and SARS-CoV viral infections.</p> <p><strong>Table S</strong><strong>3</strong>: The Venn analysis results of DEGs and GO terms uniquely shared across of COVID-19, Ebola, H1N1, MERS-CoV, and SARS-CoV viral infections.</p> <p><strong>Table S</strong><strong>4</strong>: Selected gene enrichment analysis of uniquely shared group of genes across the host response of COVID-19, Ebola, H1N1, MERS-CoV, and SARS-CoV viral infections.</p> <p><strong>Table S</strong><strong>5</strong>: The gene expression information of DEGs that COVID-19 share with the studied infectious diseases.</p> <p><strong>Table S</strong><strong>6</strong>: Selected gene enrichment analysis of uniquely shared group of GO terms across the host response of COVID-19 and studied viral infections.</p>
Supplementary material 1 from: Galasso G, Domina G, Adorni M, Angiolini C, Apruzzese M, Ardenghi NMG, Assini S, Aversa M, Bacchetta G, Banfi E, Barberis G, Bartolucci F, Bernardo L, Bertolli A, Bonali F, Bonari G, Bonini I, Bracco F, Brundu G, Buccomino G, Buono S, Calvia G, Cambria S, Castagnini P, Ceschin S, Dagnino D, Di Gristina E, Di Turi A, Fascetti S, Ferretti G, Fois M, Gentili R, Gheza G, Gubellini L, Hofmann N, Iamonico D, Ilari A, Király A, Király G, Laface VLA, Lallai A, Lazzaro L, Lonati M, Longo D, Lozano V, Lupoletti J, Magrini S, Mainetti A, Manca M, Marchetti D, Mariani F, Mariotti MG, Masin RR, Mei G, Menini F, Merli M, Milani A, Minuto L, Mugnai M, Musarella CM, Olivieri N, Onnis L, Passalacqua NG, Peccenini S, Peruzzi L, Pica A, Pinzani L, Pittarello M, Podda L, Prosser F, Ravetto Enri S, Roma-Marzio F, Rosati L, Sarigu M, Scafidi F, Sciandrello S, Selvaggi A, Spampinato G, Stinca A, Tavilla G, Toffolo C, Tomasi G, Turcato C, Villano C, Nepi C (2020) Notulae to the Italian alien vascular flora: 9. Italian Botanist 9: 47-70. https://doi.org/10.3897/italianbotanist.9.53401
Supplementary data
Supplementary material 1 from: Bartolucci F, Domina G, Bagella S, Barberis G, Briozzo I, Calbi M, Caria MC, Cavallaro V, Chianese G, Cibei C, Conti F, Dagnino D, Esposito A, Galasso G, Giacanelli V, Forte L, Gottschlich G, Lattanzi E, Longo D, Mei G, Merli M, Orsenigo S, Pau GB, Pazienza G, Peccenini S, Pisanu S, Rivieccio G, Roma-Marzio F, Scafidi F, Selvi F, Stinca A, Turcato C, Nepi C (2020) Notulae to the Italian native vascular flora: 10. Italian Botanist 10: 47-55. https://doi.org/10.3897/italianbotanist.10.60743
Supplementary data
FIG. 12 in Entre tradition classique et imaginaire germano-celtique: les monstres anthropomorphes des mers septentrionales, au Moyen Âge et au début de l'époque moderne
FIG. 12. — « Ondin ». Console provenant de l'ancienne abbatiale d'Alspach, 2e moitié du XIIe siècle, Colmar, Musée d'Unterlinden (cliché M. Wiedemann, Bordeaux).
FIG. 10 in Entre tradition classique et imaginaire germano-celtique: les monstres anthropomorphes des mers septentrionales, au Moyen Âge et au début de l'époque moderne
FIG. 10. — Sirène. Chapiteau de l'église de Cunault-sur-Loire, portail nord, 2e moitié du XIIe siècle (cliché J.-C. Vinourd, Rouen).
FIG. 5 in Entre tradition classique et imaginaire germano-celtique: les monstres anthropomorphes des mers septentrionales, au Moyen Âge et au début de l'époque moderne
FIG. 5. — Chevalier marin. Écaussines-Lalaing (Hainaut), château fort, cheminée de la Salle d'armes (vers 1500). D'après Cauchies & Guisset (2005: 88, fig. 39).
FIG. 6 in Entre tradition classique et imaginaire germano-celtique: les monstres anthropomorphes des mers septentrionales, au Moyen Âge et au début de l'époque moderne
FIG. 6. — Monachus maris. Chapiteau rhénan légendé, fin XIIe siècle, Mittelrhein Museum Koblenz. © Mittelrhein Museum Koblenz.
FIG. 3 in Entre tradition classique et imaginaire germano-celtique: les monstres anthropomorphes des mers septentrionales, au Moyen Âge et au début de l'époque moderne
FIG. 3. — Zytiron. Thomas de Cantimpré, De natura rerum. Nord de la France, 1275-1290 (Valenciennes, B.M. 320, f. 120). © Bibliothèque municipale de Valenciennes.
FIG. 2 in Le morse et le phoque dans les mers du Nord au Moyen Âge: chasse, exploitation, commerce. Une approche par les textes
FIG. 2. — Olaus Magnus, Historia de gentibus Septentrionalibus, xxi, 28. Vignette extraite d'un exemplaire de l'editio princeps (1555), numérisé en 2010. Bibliothèque de l'université de Gand, Belgique.
FIG. 5 in Des exploitations intensives d'huîtres pendant l'Antiquité et le Moyen Âge sur le littoral atlantique français: l'exemple de Beauvoir-sur-Mer (Vendée)
FIG. 5. — Différentes formes de perforation observées sur les huîtres de Beauvoir-sur-Mer: A, forme de fente (L=77 mm); B, forme circulaire (L=85 mm); C, forme ovale (L=98 mm); D, forme triangulaire (L=84 mm); E, forme quadrangulaire (L=91 mm); F, forme pentagonale (L=111 mm). Impacts de l'outil sur la surface de l'huître: G, impact pentagonal (L=90 mm); H, impact circulaire (L=120 mm) (C. Dupont, CNRS).
FIG. 3 in Des exploitations intensives d'huîtres pendant l'Antiquité et le Moyen Âge sur le littoral atlantique français: l'exemple de Beauvoir-sur-Mer (Vendée)
FIG. 3. — Coupe stratigraphique au travers du dépôt d'huîtres de Beauvoir-sur-Mer. Abréviation: NGF, nivellement général de la France (N. Rouzeau, SRA).
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