Francesco Messina
SEEK ID: https://fairdomhub.org/people/1592
Location:
Italy
Expertise: Network Analysis, Modelling
Tools: R, RNAseq, network theory, Genomics
https://orcid.org/0000-0001-8076-7217 
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Here we share resources and best practices to develop a disease map for COVID-19. The project is progressing as a broad community-driven effort. We aim to establish a knowledge repository on virus-host interaction mechanisms specific to the SARS-CoV-2. The COVID-19 Disease Map is an assembly of molecular interaction diagrams established based on literature evidence.
Programme: Disease Maps
Public web page: http://doi.org/10.17881/covid19-disease-map
An exploration on gene expression data was carried out on single-cell RNAseq analyses of bronchoalveolar lavages from nine COVID-19 patients, three moderate cases, one severe case and five critical cases (GSE145826) (doi: 10.1038/s41591-020-0901-9). To these data, single-cell RNA-sequencing from one COVID-19 lung biopsy, ~10 weeks after initial infection was added to represent persistent severe COVID19 patient group (3 weeks after symptom onset) (GSE163919). For this analysis, the epithelial cell
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Person responsible: Francesco Messina
Snapshots: No snapshots
Interactions of the SARS-CoV-2 E protein with human proteins in the context of histone acetylation.
Creator: Francesco Messina
Submitter: Marek Ostaszewski
Model type: Not specified
Model format: Not specified
Environment: Not specified
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