Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Linear epitope-specific IgG responses to SARS-CoV-2 and related human coronaviruses in human COVID-19 convalescent sera

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

SUBMITTER: Antonio Facciuolo

PROVIDER: E-MTAB-10740 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Host nasopharyngeal transcriptome analysis in a SARS-CoV-2 positive Italian cohort

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

CYP19A1 mediated sex hormone metabolism promotes severe disease outcome in SARS-CoV-2 infected male golden hamsters

Project description:Male sex belongs to one of the risk factors for severe COVID-19 outcome. However, underlying mechanisms that could affect sex dependent disease outcome are yet unknown. Here, we identified the CYP19A1 gene encoding for the testosterone-to-estradiol metabolizing enzyme CYP19A1 (alias aromatase) as a host factor that contributes to worsened disease outcome in male hamsters. SARS-CoV-2 infection increases CYP19A1 transcription most prominently in the lungs of male animals, which correlates with reduced circulating testosterone and increased circulating estradiol levels. Dysregulated sex hormone levels in male golden hamsters are associated with reduced lung function compared to females. Treatment of SARS-CoV-2 infected hamsters with letrozole, a clinically approved CYP19A1 inhibitor, supported recovery of dysregulated sex hormone levels and was associated with improved lung function in male but not female animals compared to placebo controls. Whole-lung transcriptome analysis in letrozole treated versus placebo treated control groups revealed key pathways associated with improved lung health in males. To seek translation of these findings into humans, we analyzed autopsy-derived lung samples of COVID-19 cases from three independent study sites. We found that CYP19A1 transcription and protein expression is strongly elevated in the lungs of men who died with COVID-19 as compared to females or non-COVID-19 controls. Our findings highlight the role of the lung as a yet unrecognized but critical organ involved in metabolic responses against respiratory virus infections. Furthermore, inhibition of CYP19A1 by the clinically approved drug letrozole may pose a new therapeutic strategy to reduce poor long-term COVID-19 outcome.

2022-01-21 | E-MTAB-11162 | biostudies-arrayexpress

Trancriptome analysis of peripheral leukocytes from SARS-CoV-2 infected patients and healthy uninfected individuals during the first wave of COVID-19 pandemic in Brazil

Project description:To evaluate the gene expression profiling of peripheral leukocytes in different outcomes of SARS-CoV-2 infections, whole blood samples were collected from individuals with positive SARS-CoV-2 nasopharyngeal swab by RT-PCR (54 patients) and healthy uninfected individuals (12 volunteers). Infected patients were classified into mild, moderate, severe and critical groups according to a modified statement in the Novel Coronavirus Pneumonia Diagnosis and Treatment Guideline. Blood were collected into EDTA tubes and the buffy coat samples were stored in TRIzol reagent at -80 °C until use for RNA extraction. Affymetrix Clariom S array was used to perform the high-throughput gene expression profiling. Microarray analyses were performed using APT Affymetrix software, R packages and Bioconductor libraries. This systemic view of SARS-CoV-2 infections through blood transcriptomics will foster the understanding about molecular mechanisms and immunopathological processes involved in COVID-19 disease and its different outcomes.

2022-04-29 | E-MTAB-11240 | biostudies-arrayexpress

Capturing SARS-cov in low abundant patient samples: a comparative analysis (twist panviral NS).

Project description:In this study, we tested the efficacy of five commercial probes panels at detecting SARS-CoV-2 genome including panels from Illumina, Twist Bioscience and Arbor Bioscience. To do so, we used 19 patient nasal swab samples broken down into 5 series of 4 samples of equivalent SARS-CoV-2 viral load (cycle threshold (CT): low CT means a high viral load – CT26, CT29, CT32, CT35 and CT36+).

2022-06-01 | E-MTAB-11237 | biostudies-arrayexpress

Capturing SARS-cov in low abundant patient samples: a comparative analysis (arbo double ms) .

2022-06-01 | E-MTAB-11232 | biostudies-arrayexpress

Capturing SARS-cov in low abundant patient samples: a comparative analysis (Illumina respv NS).

2022-02-08 | E-MTAB-11233 | biostudies-arrayexpress

Capturing SARS-cov in low abundant patient samples: a comparative analysis (Twist sarscov MS).

2022-06-01 | E-MTAB-11234 | biostudies-arrayexpress

Capturing SARS-cov in low abundant patient samples: a comparative analysis (arbo single MS).

2022-06-01 | E-MTAB-11235 | biostudies-arrayexpress

Pre-existing cross-reactive antibody responses do not significantly impact inactivated COVID-19 vaccine-induced neutralization

Project description:Recent exposure to seasonal coronaviruses (sCoVs) may stimulate cross-reactive antibody responses against SARS-CoV-2. Previous studies have shown divergent results regarding protective or damaging immunity induced by prior exposure to sCoVs. It is still unknown whether pre-existing humoral immunity may play a role in the vaccine-induced neutralization and antibody responses. In this study, we collected 36 paired sera in healthy volunteers before and after immunization with inactivated SARS-CoV-2 vaccines, and analyzed the distribution and intensity of pre-existing antibody responses at the epitope level before vaccine immunization, as well as the relationship between pre-existing sCoVs immunity and vaccine-induced neutralization.

2021-10-13 | E-MTAB-11084 | biostudies-arrayexpress

Pre-existing cross-reactive antibody responses do not significantly impact inactivated COVID-19 vaccine-induced neutralization

2021-10-29 | E-MTAB-11117 | biostudies-arrayexpress