E0117213-f7f2-4b9d-b578-13a7168a0e49 - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001008505 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Clinical characteristics and peripheral blood were acquired upon hospital admission from two well characterised cohorts, a cohort of patients infected with influenza and a cohort of patients infected with SARS-CoV-2 during the first wave of the pandemic and prior to availability of COVID-19 treatments and vaccines.
| EGAS00001005971 | EGA
Project description:The ongoing COVID-19 pandemic caused by SARS-CoV-2 has affected millions of people worldwide and has significant implications for public health. Host transcriptomics profiling provides comprehensive understanding of how the virus interacts with host cells and how the host responds to the virus. COVID-19 disease alters the host transcriptome, affecting cellular pathways and key molecular functions. To contribute to the global effort to understand the virus’s effect on host cell transcriptome, we have generated a dataset from nasopharyngeal swabs of 35 individuals infected with SARS-CoV-2 from the Campania region in Italy during the three outbreaks, with different clinical conditions. This dataset will help to elucidate the complex interactions among genes and can be useful in the development of effective therapeutic pathways
2023-05-25 | E-MTAB-13028 | biostudies-arrayexpress
Project description:The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that emerged in late 2019 has spread globally, causing a pandemic of respiratory illness designated coronavirus disease 2019 (COVID-19). A better definition of the pulmonary host response to SARS-CoV-2 infection is required to understand viral pathogenesis and to validate putative COVID-19 biomarkers that have been proposed in clinical studies. Here, we use targeted transcriptomics of FFPE tissue using the Nanostring GeoMX™ platform to generate an in-depth picture of the pulmonary transcriptional landscape of COVID-19, pandemic H1N1 influenza and uninfected control patients. Host transcriptomics showed a significant upregulation of genes associated with inflammation, type I interferon production, coagulation and angiogenesis in the lungs of COVID-19 patients compared to non-infected controls. SARS-CoV-2 was non-uniformly distributed in lungs (emphasising the advantages of spatial transcriptomics) with the areas of high viral load associated with an increased type I interferon response. Once the dominant cell type present in the sample, within patient correlations and patient-patient variation had been controlled for, only a very limited number of genes were differentially expressed between the lungs of fatal influenza and COVID-19 patients. Strikingly, the interferon-associated gene IFI27, previously identified as a useful blood biomarker to differentiate bacterial and viral lung infections, was significantly upregulated in the lungs of COVID-19 patients compared to patients with influenza. Collectively, these data demonstrate that spatial transcriptomics is a powerful tool to identify novel gene signatures within tissues, offering new insights into the pathogenesis of SARS-COV-2 to aid in patient triage and treatment
2022-07-29 | GSE209537 | GEO
Project description:The emergence of SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus-2) variants and “anatomical escape” characteristics threaten the effectiveness of current coronavirus disease (COVID-19) vaccines. There is an urgent need to understand the immunological mechanism of broad-spectrum respiratory tract protection to guide broader vaccines development. In this study, we investigated immune responses induced by an NS1-deleted influenza virus vectored intranasal COVID-19 vaccine (dNS1-RBD) which provides broad-spectrum protection against SARS-CoV-2 variants. Intranasal delivery of dNS1-RBD induced innate immunity, trained immunity and tissue-resident memory T cells covering the upper and lower respiratory tract. It restrained the inflammatory response by suppressing early phase viral load post SARS-CoV-2 challenge and attenuating pro-inflammatory cytokine (IL-6, IL-1B, and IFN-γ) levels, thereby reducing excess immune-induced tissue injury compared with the control group. By inducing local cellular immunity and trained immunity, intranasal delivery of NS1-deleted influenza virus vectored vaccine represents a broad-spectrum COVID-19 vaccine strategy to reduce disease burden. To investigate the immune response generated by dNS1-RBD, dNS1-Vector and wild type Influenza virus CA04 in C57BL/6 mouse lung, we vaccinated/infected C57BL/6 mice and collected the lung samples at different time point post vaccinated/infected to sequence for the single cell RNA-seq data, then performed normalization, clustering, reduction, cell type annotation, differential expression analysis and enrichment analysis based on this dataset.
2023-05-28 | GSE228594 | GEO
Project description:The on-going COVID-19 pandemic requires a deeper understanding of the long-term antibody responses that persist following SARS-CoV-2 infection. To that end, we determined epitope-specific IgG antibody responses in COVID-19 convalescent sera collected at 5 months post-diagnosis and compared that to sera from naïve individuals. Each serum sample was reacted with a high-density peptide microarray representing the complete proteome of SARS-CoV-2 as 15 mer peptides with 11 amino acid overlap and homologs of spike glycoprotein, nucleoprotein, membrane protein, and envelope small membrane protein from related human coronaviruses. Binding signatures were compared between COVID-19 convalescent patients and naïve individuals using the web service tool EPIphany.
2022-02-05 | E-MTAB-10740 | biostudies-arrayexpress
Project description:The pandemic caused by SARS-CoV-2 is responsible for terrible health devastation with profoundly harmful consequences for the economic, social and political activities of communities on a global scale. Extraordinary efforts have been made by the world scientific community, who, in solidarity, shared knowledge so that effective vaccines could be produced quickly. However, it is still important to study therapies that can reduce the risk, until group immunity is reached, which, globally, will take a time that is still difficult to predict. On the other hand, the immunity time guaranteed by already approved vaccines is still uncertain.
The current study proposes a therapy whose foundation lies in the important role that innate immunity may have, by preventing the disease from progressing to the acute phase that may eventually lead to the patient’s death. Our focus is on NK cells and their relevant role.
Natural killer cells (NK) are considered the primary defense lymphocytes against virus-infected cells. They play a critical role in modulating the immune system. Preliminary studies in COVID-19 patients with severe disease, suggest a reduction in the number and function of NK cells, resulting in decreased clearance of infected and activated cells and unchecked elevation of inflammation markers that damage tissue. SARS-CoV-2 infection distorts the immune response towards a highly inflammatory phenotype. Restoring the effector functions of NK cells has the potential to correct the delicate immune balance needed to effectively overcome SARS-CoV-2 infection.
2022-06-22 | MODEL2202230002 | BioModels
Project description:SARS-CoV-2 infection can cause persistent respiratory sequelae, as seen in long COVID. However, the underlying mechanisms remain unclear. To investigate pulmonary cellular and transcriptomic changes mediated by SARS-CoV-2 and influenza infection, we characterized the SARS-CoV-2-infected K18-hACE2 (K18) mice and compared their lung recovery with a mouse-adapted influenza model and verified the finding in SARS-CoV-2-infected nonhuman primates and in fatal human COVID-19 cases. K18-hACE2 mice infected with a sub-lethal dose of SARS-CoV-2 lost body weight from 1 - 8 days post-infection (DPI), and then gradually returned to baseline weight between 8 -13 DPI. Infected mice showed patchy pneumonia associated with histiocytic inflammation, collagen deposition, and increased pulmonary interferon and inflammatory response signature gene changes at 21 and 45 DPI. Transcriptomic analyses revealed that compared to influenza-infected mice, SARS-CoV-2-infected mice had reduced interferon-gamma/alpha responses at 4 DPI and failed to induce keratin 5 (Krt5) at 6 DPI in lung, a marker of nascent pulmonary progenitor cells. They also showed reduced activation of epithelial-to-mesenchymal transition and apical junction pathways compared to influenza (Flu)-infected mice. Histologically, influenza- but not SARS-CoV-2- infected mice showed extensive Krt5+ “pods” structure co-stained with stem cell markers Trp63/ NGFR proliferated in the pulmonary consolidation area at both 7 and 14 DPI, with regression at 21 DPI. These Krt5+ “pods” and proliferative stem cells were not observed in SARS-CoV-2 infection in the lungs of humans or nonhuman primates. These results suggest that SARS-CoV-2 infection fails to induce nascent Krt5+ cell proliferation in consolidated regions, leading to incomplete repair of the injured lung which may underlie the persistent clinical symptoms of long COVID.
2023-12-02 | GSE248775 | GEO
Project description:SARS-CoV-2 infection can cause persistent respiratory sequelae, as seen in long COVID. However, the underlying mechanisms remain unclear. To investigate pulmonary cellular and transcriptomic changes mediated by SARS-CoV-2 and influenza infection, we characterized the SARS-CoV-2-infected K18-hACE2 (K18) mice and compared their lung recovery with a mouse-adapted influenza model and verified the finding in SARS-CoV-2-infected nonhuman primates and in fatal human COVID-19 cases. K18-hACE2 mice infected with a sub-lethal dose of SARS-CoV-2 lost body weight from 1 - 8 days post-infection (DPI), and then gradually returned to baseline weight between 8 -13 DPI. Infected mice showed patchy pneumonia associated with histiocytic inflammation, collagen deposition, and increased pulmonary interferon and inflammatory response signature gene changes at 21 and 45 DPI. Transcriptomic analyses revealed that compared to influenza-infected mice, SARS-CoV-2-infected mice had reduced interferon-gamma/alpha responses at 4 DPI and failed to induce keratin 5 (Krt5) at 6 DPI in lung, a marker of nascent pulmonary progenitor cells. They also showed reduced activation of epithelial-to-mesenchymal transition and apical junction pathways compared to influenza (Flu)-infected mice. Histologically, influenza- but not SARS-CoV-2- infected mice showed extensive Krt5+ “pods” structure co-stained with stem cell markers Trp63/ NGFR proliferated in the pulmonary consolidation area at both 7 and 14 DPI, with regression at 21 DPI. These Krt5+ “pods” and proliferative stem cells were not observed in SARS-CoV-2 infection in the lungs of humans or nonhuman primates. These results suggest that SARS-CoV-2 infection fails to induce nascent Krt5+ cell proliferation in consolidated regions, leading to incomplete repair of the injured lung which may underlie the persistent clinical symptoms of long COVID.
2023-12-02 | GSE248773 | GEO
Project description:In India, 100,340 confirmed cases and 3155 confirmed deaths due to COVID-19 were reported as of May 18, 2020. Due to absence of specific vaccine or therapy, non-pharmacological interventions including so- cial distancing, contact tracing are essential to end the worldwide COVID-19. We propose a mathematical model that predicts the dynamics of COVID-19 in 17 provinces of India and the overall India. A complete scenario is given to demonstrate the estimated pandemic life cycle along with the real data or history to date, which in turn divulges the predicted inflection point and ending phase of SARS-CoV-2. The proposed model monitors the dynamics of six compartments, namely susceptible (S), asymptomatic (A), recovered (R), infected (I), isolated infected ( I q ) and quarantined susceptible ( S q ), collectively expressed SARII q S q . A sensitivity analysis is conducted to determine the robustness of model predictions to parameter values and the sensitive parameters are estimated from the real data on the COVID-19 pandemic in India. Our re- sults reveal that achieving a reduction in the contact rate between uninfected and infected individuals by quarantined the susceptible individuals, can effectively reduce the basic reproduction number. Our model simulations demonstrate that the elimination of ongoing SARS-CoV-2 pandemic is possible by combining the restrictive social distancing and contact tracing. Our predictions are based on real data with reason- able assumptions, whereas the accurate course of epidemic heavily depends on how and when quaran- tine, isolation and precautionary measures are enforced.
2024-09-02 | BIOMD0000000977 | BioModels
Project description:Diverse severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants have emerged since the beginning of COVID-19 pandemic. We investigated the immunological and pathological characteristics of SARS-CoV-2 beta variant of concern (VOC) compared to the ancestral strain. To investigate a broad spectrum of immunological responses and to determine the underlying mechanisms of differentially expressed cytokines, we analyzed the whole transcriptome of lung homogenates from SARS-CoV-2 ancestral strain- and beta variant-infected mice at 4 and 6 dpi.
2022-08-17 | GSE202998 | GEO