影响范围：预测免疫反应和对流感病毒的易感性——愿数据与你同在。
mSphere of Influence: Predicting Immune Responses and Susceptibility to Influenza Virus-May the Data Be with You.
机构信息
Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
出版信息
mSphere. 2020 Mar 18;5(2):e00085-20. doi: 10.1128/mSphere.00085-20.
Irene Ramos works in the field of immunology to viral infections. In this mSphere of Influence article, she reflects on how "Global analyses of human immune variation reveal baseline predictors of postvaccination responses" by Tsang et al. (Cell 157:499-513, 2014, https://doi.org/10.1016/j.cell.2014.03.031) and "A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection" by Fourati et al. (Nat Commun 9:4418, 2018, https://doi.org/10.1038/s41467-018-06735-8) made an impact on her by highlighting the importance of data science methods to understand virus-host interactions.
Irene Ramos 从事免疫学领域的病毒感染研究。在这篇 mSphere 影响力文章中，她反思了 Tsang 等人的研究成果“全球人类免疫变异分析揭示了疫苗接种后反应的基线预测因素”（Cell 157:499-513, 2014, https://doi.org/10.1016/j.cell.2014.03.031）和 Fourati 等人的研究“一项众包分析，旨在确定预测易感性病毒感染的从头分子特征”（Nat Commun 9:4418, 2018, https://doi.org/10.1038/s41467-018-06735-8）对她产生了影响，强调了数据科学方法对于理解病毒-宿主相互作用的重要性。
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