Back to results

Università degli Studi di Milano

AN IMPROVED GENOMIC SURVEILLANCE APPROACH TO DISSECT THE SARS-COV-2 PANDEMIC

Abstract

dc:description

Genomic surveillance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the only approach to rapidly monitor and tackle emerging variants of concern (VOC) of the COVID-19 pandemic. Such scrutiny is crucial to limit the spread of VOC that might escape the immune protection conferred by vaccination strategies. It is also becoming clear now that efficient genomic surveillance would require monitoring the host gene expression to identify prognostic biomarkers of efficacy and disease progression. Here we applied an integrated workflow for RNA extracted from nasal swabs to obtain in parallel the entire genome of SARS-CoV-2 and host respiratory epithelium transcriptome, representing the majority of Italian processed genomic samples. In addition, we have matured and applied novel proof-of-principle approaches to prioritize possible gain-of-function mutations by leveraging patients' metadata and isolated patient-specific signatures of SARS-CoV-2 infection. The goals mentioned above have all been achieved in a cost-effective manner that does not require automation, in an effort to allow any lab with a benchtop sequencer and a limited budget to perform integrated genomic surveillance on premises.

Degree

thesis:*
Grantor dc:publisher
Università degli Studi di Milano
Year dc:date
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • GRIMALDI, ANTONIO
Contributors dc:contributor
  • tutor: D. Cacchiarelli ; internal advisor: D. Di Bernardo ; external Advisor: N. Elvassore
  • A. Grimaldi

Subjects

dc:subject × 7

Rights

dc:rights
Statement dc:rights
  • info:eu-repo/semantics/openAccess
Language dc:language
eng

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:air.unimi.it:2434/946458

Chain of custody

source
Harvested from
Università degli Studi di Milano
Base URL
air.unimi.it/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

GRIMALDI, ANTONIO. AN IMPROVED GENOMIC SURVEILLANCE APPROACH TO DISSECT THE SARS-COV-2 PANDEMIC. Università degli Studi di Milano, 2022. https://hdl.handle.net/2434/946458