Blood · 2020 · 43 citations · 35 references
Life SciencesImmunologyMolecular BiologyBiosensorsMolecular DiagnosticsProteomicsInflammatory BiomarkersMolecular BiomarkersMolecular SensorsProteomic BiomarkersSingle-molecule DetectionSingle-molecule MeasurementsBiomarker Detection BiosensorsContinuous MonitoringDisease Biomarker DetectionImmune Biomarker DiscoveryImmune Biomarker MonitoringProtein Biomarker QuantificationProtein BiomarkersProtein Expression Biomarkers
Digital protein assays have great potential to advance immunodiagnostics because of their single-molecule sensitivity, high precision, and robust measurements. However, translating digital protein assays to acute clinical care has been challenging because it requires deployment of these assays with a rapid turnaround. Herein, we present a technology platform for ultrafast digital protein biomarker detection by using single-molecule counting of immune-complex formation events at an early, pre-equilibrium state. This method, which we term "pre-equilibrium digital enzyme-linked immunosorbent assay" (PEdELISA), can quantify a multiplexed panel of protein biomarkers in 10 µL of serum within an unprecedented assay incubation time of 15 to 300 seconds over a 104 dynamic range. PEdELISA allowed us to perform rapid monitoring of protein biomarkers in patients manifesting post-chimeric antigen receptor T-cell therapy cytokine release syndrome, with ∼30-minute sample-to-answer time and a sub-picograms per mL limit of detection. The rapid, sensitive, and low-input volume biomarker quantification enabled by PEdELISA is broadly applicable to timely monitoring of acute disease, potentially enabling more personalized treatment.
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Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Chaolin Huang, Yeming Wang, Xingwang Li et al. · The Lancet · 2020 · 51.8K citations · Full text
Current concepts in the diagnosis and management of cytokine release syndrome
Daniel W. Lee, Rebecca Gardner, David Porter et al. · Blood · 2014 · 2.8K citations
International network of cancer genome projects