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    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. © The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

    Citation

    Claire Nicolas De Lamballerie, Andrés Pizzorno, Julia Dubois, Blandine Padey, Thomas Julien, Aurélien Traversier, Julie Carbonneau, Elody Orcel, Bruno Lina, Marie-Eve Hamelin, Magali Roche, Julien Textoris, Guy Boivin, Catherine Legras-Lachuer, Olivier Terrier, Manuel Rosa-Calatrava. Human Respiratory Syncytial Virus-Induced Immune Signature of Infection Revealed by Transcriptome Analysis of Clinical Pediatric Nasopharyngeal Swab Samples. The Journal of infectious diseases. 2021 Mar 29;223(6):1052-1061

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    PMID: 32726438

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