Yanying Yu
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SARS-CoV-2 nucleocapsid induces hyperinflammation and vascular leakage through the Toll-like receptor signaling axis in macrophages
Abstract INTRODUCTION RESULTS DISCUSSION MATERIALS AND METHODS Acknowledgments Supplementary Materials REFERENCES Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract A substantial proportion of hospitalized COVID-19 patients require ICU admission, often associated with an imbalance between antiviral responses and inflammatory signaling leading to uncontrolled cytokine secretion.
RNA quality control enables antibiotic tolerance
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Results To evaluate how antibiotic treatment and host immune condition interact to constrain or drive pathogen adaptation, we propagated S. pneumoniae populations of TIGR4, a virulent serotype 4 pneumococcal strain, in mice across three distinct immune states: immunocompetent, neutrophil-depleted, and macrophage-depleted (Figure 1A).
By Andrew T. Nishimoto, Michelle R. Scribner, Yanying Yu, Qidong Jia, Haley Echlin, Amy Iverson Verified, Abigail McKnight, Nadia B. Olivero, Aaron Poole, Adam Rosenthal, Chrispin Chaguza, Randolph K. Larsen, Mark E. Hatley, Ralph R. Isberg, Vaughn S Cooper, Tim van Opijnen, Jason Rosch, Juan C. Ortiz-Marquez, Enolia Marr, Jordan Coggins
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Cell Host & Microbe
Verified
Biased sampling driven by bacterial population structure confounds machine learning prediction of antimicrobial resistance
Loading metrics Open Access Peer-reviewed Short Reports Short Reports offer exciting novel biological findings that may trigger new research directions. See Journal Information » Citation: Yu Y, Wheeler NE, Barquist L (2025) Biased sampling driven by bacterial population structure confounds machine learning prediction of antimicrobial resistance. PLoS Biol 23(12): e3003539.
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