Molecular landscape of respiratory infection: A large-scale, multi-centre blood transcriptome dataset

作者：Tracy Chew, Tiana Maria Pelaia, Amy L. Phu, Sally Teoh, Ya Wang, Nandan Deshpande, Karan Kim, Velma Herwanto, Gunawan Gunawan, Thomas Karvunidis, Yoann Zerbib, Kirsty Renfree Short, Stephen P J Macdonald, Irani Thevarajan, Darawan Rinchai, Win Sen Kuan, Ben Knippenberg, Jonathan R. Iredell, Philip N Britton, Owen Rhys Hutchings, Warwick J. Britton, John‐Sebastian Eden, Sam R. Orde, Benjamin M. P. Tang, Anthony S. McLean, Damien Chaussabel, Klaus Schughart, Maryam Shojaei · 发表于：Scientific Data · 年份：2025 · DOI：10.1038/s41597-025-05488-6 · 被引用次数：2 · 研究领域：Respiratory viral infections research、Gut microbiota and health、Cancer-related molecular mechanisms research

Respiratory infections pose significant challenges to global health, impacting millions of individuals annually. Understanding the molecular mechanisms underlying the pathogenicity of these infections is crucial for developing effective interventions. RNA sequencing provides insights into a patient's global transcriptome changes, facilitating the identification of host gene signatures in response to infection and potential therapeutic targets. Here we present an extensive whole blood transcriptome dataset from a demographically diverse cohort of 502 patients with infections including COVID-19, seasonal coronavirus, influenza A or influenza B, sepsis, septic shock, and co-infections (Viral/Viral, Bacterial/Viral, Bacterial/Viral/Fungal, Viral/Fungal, Viral/ Viral/Fungal). The cohort size and depth of data showcase its potential to unravel respiratory infection pathogenesis for the development of better diagnostics, treatments, and preventive strategies for respiratory infections and future global health crises.