Single-Cell Analysis Reveals Heterogeneity of Virus Infection, Pathogenicity, and Host Responses: HIV as a Pioneering Example
Autor: | Sara Cristinelli, Angela Ciuffi, Ludivine Brandt |
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Rok vydání: | 2020 |
Předmět: |
Human immunodeficiency virus (HIV)
HIV Infections Context (language use) Computational biology Biology Virus Replication medicine.disease_cause Virus 03 medical and health sciences Broad spectrum 0302 clinical medicine Single-cell analysis Virology medicine Humans 030304 developmental biology 0303 health sciences Host Microbial Interactions Virulence Host (biology) Pathogenicity Phenotype Immunity Innate Virus Latency Virus Diseases HIV-1 Single-Cell Analysis 030217 neurology & neurosurgery |
Zdroj: | Annual Review of Virology. 7:333-350 |
ISSN: | 2327-0578 2327-056X |
Popis: | While analyses of cell populations provide averaged information about viral infections, single-cell analyses offer individual consideration, thereby revealing a broad spectrum of diversity as well as identifying extreme phenotypes that can be exploited to further understand the complex virus-host interplay. Single-cell technologies applied in the context of human immunodeficiency virus (HIV) infection proved to be valuable tools to help uncover specific biomarkers as well as novel candidate players in virus-host interactions. This review aims at providing an updated overview of single-cell analyses in the field of HIV and acquired knowledge on HIV infection, latency, and host response. Although HIV is a pioneering example, similar single-cell approaches have proven to be valuable for elucidating the behavior and virus-host interplay in a range of other viruses. |
Databáze: | OpenAIRE |
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