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Host nasopharyngeal transcriptome dataset of a SARS-CoV-2 positive Italian cohort
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. COVI...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10264883/ https://www.ncbi.nlm.nih.gov/pubmed/37316506 http://dx.doi.org/10.1038/s41597-023-02289-7 |
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author | Salvati, Annamaria Ferravante, Carlo Lamberti, Jessica Rocco, Teresa Alexandrova, Elena D’Agostino, Ylenia Sorokin, Maksim Efimov, Victor Buzdin, Anton Strianese, Oriana Nassa, Giovanni Tarallo, Roberta Weisz, Alessandro Rizzo, Francesca Giurato, Giorgio |
author_facet | Salvati, Annamaria Ferravante, Carlo Lamberti, Jessica Rocco, Teresa Alexandrova, Elena D’Agostino, Ylenia Sorokin, Maksim Efimov, Victor Buzdin, Anton Strianese, Oriana Nassa, Giovanni Tarallo, Roberta Weisz, Alessandro Rizzo, Francesca Giurato, Giorgio |
author_sort | Salvati, Annamaria |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-10264883 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102648832023-06-14 Host nasopharyngeal transcriptome dataset of a SARS-CoV-2 positive Italian cohort Salvati, Annamaria Ferravante, Carlo Lamberti, Jessica Rocco, Teresa Alexandrova, Elena D’Agostino, Ylenia Sorokin, Maksim Efimov, Victor Buzdin, Anton Strianese, Oriana Nassa, Giovanni Tarallo, Roberta Weisz, Alessandro Rizzo, Francesca Giurato, Giorgio Sci Data Data Descriptor 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. Nature Publishing Group UK 2023-06-14 /pmc/articles/PMC10264883/ /pubmed/37316506 http://dx.doi.org/10.1038/s41597-023-02289-7 Text en © The Author(s) 2023, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Salvati, Annamaria Ferravante, Carlo Lamberti, Jessica Rocco, Teresa Alexandrova, Elena D’Agostino, Ylenia Sorokin, Maksim Efimov, Victor Buzdin, Anton Strianese, Oriana Nassa, Giovanni Tarallo, Roberta Weisz, Alessandro Rizzo, Francesca Giurato, Giorgio Host nasopharyngeal transcriptome dataset of a SARS-CoV-2 positive Italian cohort |
title | Host nasopharyngeal transcriptome dataset of a SARS-CoV-2 positive Italian cohort |
title_full | Host nasopharyngeal transcriptome dataset of a SARS-CoV-2 positive Italian cohort |
title_fullStr | Host nasopharyngeal transcriptome dataset of a SARS-CoV-2 positive Italian cohort |
title_full_unstemmed | Host nasopharyngeal transcriptome dataset of a SARS-CoV-2 positive Italian cohort |
title_short | Host nasopharyngeal transcriptome dataset of a SARS-CoV-2 positive Italian cohort |
title_sort | host nasopharyngeal transcriptome dataset of a sars-cov-2 positive italian cohort |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10264883/ https://www.ncbi.nlm.nih.gov/pubmed/37316506 http://dx.doi.org/10.1038/s41597-023-02289-7 |
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