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Comparison of USA vs. Colombia MIS-C patient samples by GCFP <t>microarray.</t> (A) Heat map of A2 serum samples comparing USA to Colombia samples. The USA patient population has a more robust signature. (B) Heat of A2 saliva samples comparing USA to Colombia samples, USA has a more robust signature.
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Comparison of USA vs. Colombia MIS-C patient samples by GCFP <t>microarray.</t> (A) Heat map of A2 serum samples comparing USA to Colombia samples. The USA patient population has a more robust signature. (B) Heat of A2 saliva samples comparing USA to Colombia samples, USA has a more robust signature.
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Comparison of USA vs. Colombia MIS-C patient samples by GCFP <t>microarray.</t> (A) Heat map of A2 serum samples comparing USA to Colombia samples. The USA patient population has a more robust signature. (B) Heat of A2 saliva samples comparing USA to Colombia samples, USA has a more robust signature.
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Comparison of USA vs. Colombia MIS-C patient samples by GCFP <t>microarray.</t> (A) Heat map of A2 serum samples comparing USA to Colombia samples. The USA patient population has a more robust signature. (B) Heat of A2 saliva samples comparing USA to Colombia samples, USA has a more robust signature.
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Comparison of USA vs. Colombia MIS-C patient samples by GCFP <t>microarray.</t> (A) Heat map of A2 serum samples comparing USA to Colombia samples. The USA patient population has a more robust signature. (B) Heat of A2 saliva samples comparing USA to Colombia samples, USA has a more robust signature.
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Comparison of USA vs. Colombia MIS-C patient samples by GCFP <t>microarray.</t> (A) Heat map of A2 serum samples comparing USA to Colombia samples. The USA patient population has a more robust signature. (B) Heat of A2 saliva samples comparing USA to Colombia samples, USA has a more robust signature.
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Comparison of USA vs. Colombia MIS-C patient samples by GCFP microarray. (A) Heat map of A2 serum samples comparing USA to Colombia samples. The USA patient population has a more robust signature. (B) Heat of A2 saliva samples comparing USA to Colombia samples, USA has a more robust signature.

Journal: Frontiers in Bioengineering and Biotechnology

Article Title: Development of a biomarker signature using grating-coupled fluorescence plasmonic microarray for diagnosis of MIS-C

doi: 10.3389/fbioe.2023.1066391

Figure Lengend Snippet: Comparison of USA vs. Colombia MIS-C patient samples by GCFP microarray. (A) Heat map of A2 serum samples comparing USA to Colombia samples. The USA patient population has a more robust signature. (B) Heat of A2 saliva samples comparing USA to Colombia samples, USA has a more robust signature.

Article Snippet: Capture antibodies were diluted to 250 μg/mL with PBS ( ) and printed on the GCFP chips using a 0.35 mm diameter microarray pin and a SpotBot II microarray printer (ArrayIt, CA, United States) or an XactII microarray printer (LabNEXT, NJ, United States).

Techniques: Comparison, Microarray

Serum from Cohorts and individual patient comparison of GCFP microarray assay to MIA. To compare a traditional MIA with the GCFP microarray, 11 analytes were included in both assays. (A) A heat map was generated by log transforming GCFP detection ratios and using the mean of each analyte detection ratio for each cohort. Of the 11 analytes, 5 were below the detection limit of the GCFP first generation biosensor chip. (B) A heat map generated by log transforming GCFP detection ratios from individual serum samples from cohort A1. (C) A heat map generated by log transforming GCFP detection ratios from individual serum samples from cohort A2. (D) A heat map generated by log transforming GCFP detection ratios from individual serum samples from cohort B1. (E) A heat map generated by log transforming GCFP detection ratios from individual serum samples from cohort B2. (F) A heat map generated by log transforming GCFP detection ratios from individual serum samples from cohort B3. 16 of the 44 shared serum samples had similar biomarker signatures, while IL-4, IL-6 and CCL20 were not consistently detected on the GCFP chip.

Journal: Frontiers in Bioengineering and Biotechnology

Article Title: Development of a biomarker signature using grating-coupled fluorescence plasmonic microarray for diagnosis of MIS-C

doi: 10.3389/fbioe.2023.1066391

Figure Lengend Snippet: Serum from Cohorts and individual patient comparison of GCFP microarray assay to MIA. To compare a traditional MIA with the GCFP microarray, 11 analytes were included in both assays. (A) A heat map was generated by log transforming GCFP detection ratios and using the mean of each analyte detection ratio for each cohort. Of the 11 analytes, 5 were below the detection limit of the GCFP first generation biosensor chip. (B) A heat map generated by log transforming GCFP detection ratios from individual serum samples from cohort A1. (C) A heat map generated by log transforming GCFP detection ratios from individual serum samples from cohort A2. (D) A heat map generated by log transforming GCFP detection ratios from individual serum samples from cohort B1. (E) A heat map generated by log transforming GCFP detection ratios from individual serum samples from cohort B2. (F) A heat map generated by log transforming GCFP detection ratios from individual serum samples from cohort B3. 16 of the 44 shared serum samples had similar biomarker signatures, while IL-4, IL-6 and CCL20 were not consistently detected on the GCFP chip.

Article Snippet: Capture antibodies were diluted to 250 μg/mL with PBS ( ) and printed on the GCFP chips using a 0.35 mm diameter microarray pin and a SpotBot II microarray printer (ArrayIt, CA, United States) or an XactII microarray printer (LabNEXT, NJ, United States).

Techniques: Comparison, Microarray, Generated, Biomarker Discovery