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Human Respiratory Syncytial Virus-Induced Immune Signature of Infection Revealed by Transcriptome Analysis of Clinical Pediatric Nasopharyngeal Swab Samples.


ABSTRACT: Human respiratory syncytial virus (HRSV) constitutes one the main causes of respiratory infection in neonates and infants worldwide. Transcriptome analysis of clinical samples using high-throughput technologies remains an important tool to better understand virus-host complex interactions in the real-life setting but also to identify new diagnosis/prognosis markers or therapeutics targets. A major challenge when exploiting clinical samples such as nasal swabs, washes, or bronchoalveolar lavages is the poor quantity and integrity of nucleic acids. In this study, we applied a tailored transcriptomics workflow to exploit nasal wash samples from children who tested positive for HRSV. Our analysis revealed a characteristic immune signature as a direct reflection of HRSV pathogenesis and highlighted putative biomarkers of interest such as IP-10, TMEM190, MCEMP1, and TIMM23.

SUBMITTER: Nicolas De Lamballerie C 

PROVIDER: S-EPMC8006426 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

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Human Respiratory Syncytial Virus-Induced Immune Signature of Infection Revealed by Transcriptome Analysis of Clinical Pediatric Nasopharyngeal Swab Samples.

Nicolas De Lamballerie Claire C   Pizzorno Andrés A   Dubois Julia J   Padey Blandine B   Julien Thomas T   Traversier Aurélien A   Carbonneau Julie J   Orcel Elody E   Lina Bruno B   Hamelin Marie-Eve ME   Roche Magali M   Textoris Julien J   Boivin Guy G   Legras-Lachuer Catherine C   Terrier Olivier O   Rosa-Calatrava Manuel M  

The Journal of infectious diseases 20210301 6


Human respiratory syncytial virus (HRSV) constitutes one the main causes of respiratory infection in neonates and infants worldwide. Transcriptome analysis of clinical samples using high-throughput technologies remains an important tool to better understand virus-host complex interactions in the real-life setting but also to identify new diagnosis/prognosis markers or therapeutics targets. A major challenge when exploiting clinical samples such as nasal swabs, washes, or bronchoalveolar lavages  ...[more]

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