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<p>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.</p>

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月10日

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  • Tracy Chew,
  • Tiana M. Pelaia,
  • Amy L. Phu,
  • Sally Teoh,
  • Ya Wang,
  • Nandan Deshpande,
  • Karan Kim,
  • Velma Herwanto,
  • Gunawan,
  • Thomas Karvunidis,
  • Yoann Zerbib,
  • Kirsty R. Short,
  • Stephen Macdonald,
  • Irani Thevarajan,
  • Darawan Rinchai,
  • Win Sen Kuan,
  • Ben Knippenberg,
  • Jonathan Iredell,
  • Philip N. Britton,
  • Owen Hutchings,
  • Warwick J. Britton,
  • John-Sebastian Eden,
  • Sam Orde,
  • Benjamin Tang,
  • Anthony McLean,
  • Damien Chaussabel,
  • Klaus Schughart,
  • Maryam Shojaei

摘要

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.