2018
DOI: 10.1016/j.jim.2018.05.011
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Label-free microarray-based detection of autoantibodies in human serum

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Cited by 8 publications
(10 citation statements)
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“…In a previous work, we have demonstrated the utility of AIR as a tool for profiling the immune response to infection by and immunization against viral pathogens, including influenza , and SARS-CoV-2 . We have also used AIR to assess autoimmunity in Sjögrens disease and systemic lupus erythematosus . Here, we have provided the first demonstration of the use of bacterial antigens on the AIR platform.…”
Section: Discussionmentioning
confidence: 94%
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“…In a previous work, we have demonstrated the utility of AIR as a tool for profiling the immune response to infection by and immunization against viral pathogens, including influenza , and SARS-CoV-2 . We have also used AIR to assess autoimmunity in Sjögrens disease and systemic lupus erythematosus . Here, we have provided the first demonstration of the use of bacterial antigens on the AIR platform.…”
Section: Discussionmentioning
confidence: 94%
“…Three different concentrations of the intra-chip correction probe (anti-fluorescein isothiocyanate, anti-FITC) were formulated from anti-FITC antibody (dialyzed for 4 h at 4 °C in mPBS to remove sodium azide) and mPBS. All probe solutions contained trehalose as an additive to improve spot morphology . Optimized print solutions used for the production of all arrays are shown in Table .…”
Section: Methodsmentioning
confidence: 99%
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“…28 Binding of the analyte of interest to a capture spot results in a thickness change that perturbs the antireflection condition, resulting in light reflecting in proportion to the amount of material captured. The utility of AIR has been demonstrated in a broad range of applications, including detection and quantification of cytokines and other inflammatory biomarkers in human serum, 29 antibodies to human autoantigens, 30 and as a realtime method for monitoring protein-RNA binding. 31 Recently, we have also used the technique as a method for analyzing the human response to SARS-CoV-2 (COVID-19) infection.…”
Section: ■ Introductionmentioning
confidence: 99%