Dataset Information

Host nasopharyngeal transcriptome dataset of a SARS-CoV-2 positive Italian cohort.

ABSTRACT: 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.

SUBMITTER: Salvati A

PROVIDER: S-EPMC10264883 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Host nasopharyngeal transcriptome dataset of a SARS-CoV-2 positive Italian cohort.

Salvati Annamaria A Ferravante Carlo C Lamberti Jessica J Rocco Teresa T Alexandrova Elena E D'Agostino Ylenia Y Sorokin Maksim M Efimov Victor V Buzdin Anton A Strianese Oriana O Nassa Giovanni G Tarallo Roberta R Weisz Alessandro A Rizzo Francesca F Giurato Giorgio G

Scientific data 20230614 1

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 ...[more]

PMID: 37316506

Similar Datasets

Project description:BackgroundCoronaviruses (CoV) are a large family of viruses that are common in humans and many animal species. Animal coronaviruses rarely infect humans with the exceptions of the Middle East respiratory syndrome ( MERS-CoV ), the severe acute respiratory syndrome corona virus (SARS-CoV), and now SARS-CoV-2, which is the cause of the ongoing pandemic of coronavirus disease 2019 (COVID-19). Several studies suggested that genetic variants in the ACE2 gene may influence the host susceptibility or resistance to SARS-CoV-2 infection according to the functional role of ACE2 in human pathophysiology. However, many of these studies have been conducted in silico based on epidemiological and population data. We therefore investigated the occurrence of ACE2 variants in a cohort of 131 Italian unrelated individuals clinically diagnosed with COVID-19 and in an Italian control population, to evaluate a possible allelic association with COVID-19, by direct DNA analysis.MethodsAs a pilot study, we analyzed, by whole-exome sequencing, genetic variants of ACE2 gene in 131 DNA samples of COVID-19 patients hospitalized at Tor Vergata University Hospital and at Bambino Gesù Children's Hospital, Rome. We used a large control group consisting of 1000 individuals (500 males and 500 females).ResultsWe identified three different germline variants: one intronic c.439+4G>A and two missense c.1888G>C p.(Asp630His) and c.2158A>G p.(Asn720Asp) in a total of 131 patients with a similar frequency in male and female. Thus far, only the c.1888G>C p.(Asp630His) variant shows a statistically different frequency compared to the ethnically matched populations. Therefore, further studies are needed in larger cohorts, since it was found only in one heterozygous COVID-19 patient.ConclusionsOur results suggest that there is no strong evidence, in our cohort, of consistent association of ACE2 variants with COVID-19 severity. We might speculate that rare susceptibility/resistant alleles could be located in the non-coding regions of the ACE2 gene, known to play a role in regulation of the gene activity.

Dataset Information

Host nasopharyngeal transcriptome dataset of a SARS-CoV-2 positive Italian cohort.

Publications

Host nasopharyngeal transcriptome dataset of a SARS-CoV-2 positive Italian cohort.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets