Journal: Scientific Reports

Article Title: Blood donor variability is a modulatory factor for P. falciparum invasion phenotyping assays

doi: 10.1038/s41598-021-86438-1

Figure Lengend Snippet: Efficacy of enzyme treatment of erythrocytes from different donors. Histogram plots showing the fluorescent intensity associated with antibodies against specific erythrocyte receptors prior to (left panel), and after (right panel) treatment with different enzymes ( NT neuraminidase treatment, TT trypsin treatment, CT chymotrypsin treatment). Target erythrocytes from five different donors were co-incubated for an hour with mouse anti-human GYPAB (top panel), GYPA (middle panel) or CR1 (bottom panel), then washed twice and incubated with goat anti-mouse-PE conjugated antibodies. The data was collected with a BD LSR Fortessa X-20 flow cytometer and graphs plotted using FlowJo v.10.01.

Article Snippet: The data was collected with a BD LSR Fortessa X-20 flow cytometer and graphs plotted using FlowJo v.10.01.

Techniques: Incubation, Flow Cytometry

Journal: Scientific Reports

Article Title: Blood donor variability is a modulatory factor for P. falciparum invasion phenotyping assays

doi: 10.1038/s41598-021-86438-1

Figure Lengend Snippet: Variation of surface expression of erythrocyte receptors between donors. Dot plots of relative median fluorescent intensity (Y-axis) associated with fluorescently labelled antibodies against specific erythrocyte receptors (GYPAB, GYPA, GYPC, CR1 and DAF) from 20 blood donors (X-axis). Data were acquired by a BD LSR Fortessa X-20 flow cytometer and processed with FlowJo v.10.01. The data were stratified following normalization and donors were classified as high (Mean + 2SD, upper line), medium (between Mean ± SD, yellow area) and low expressers (Mean-2SD, bottom line). Graphs were plotted using GraphPad Prism v.8.01. Data normalization was performed as follow MFIs as follow \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$CorrMFIS = MFIS*\frac{MFIMean}{{MFIC}}$$\end{document} C o r r M F I S = M F I S ∗ MFIMean MFIC , where ‘‘CorrMFI’’ is the corrected mean fluorescence intensity of a given donor, ‘‘MFIS’’ is the uncorrected mean fluorescence intensity of the sample, ‘‘MFICMean’’ is the mean mean fluorescence intensity of all the control samples, and ‘‘MFIC’’ is the mean fluorescence intensity of the control for that sample.

Article Snippet: The data was collected with a BD LSR Fortessa X-20 flow cytometer and graphs plotted using FlowJo v.10.01.

Techniques: Expressing, Flow Cytometry, Fluorescence

Journal: Scientific Reports

Article Title: Blood donor variability is a modulatory factor for P. falciparum invasion phenotyping assays

doi: 10.1038/s41598-021-86438-1

Figure Lengend Snippet: Correlation of erythrocyte receptor densities with the efficiency of enzyme treatment. The density of erythrocyte surface receptors, labelled with specific monoclonal antibodies prior to, and following enzyme treatment was quantified by flow cytometry using fluorescently labelled secondary antibodies. The efficiency of enzyme treatment was then expressed as follows: 100 – (MFI Treated Erythrocytes/MFI Control Erythrocytes × 100). Experiments were performed in triplicates and the resulting data were analysed with FlowJo v.10.01 and the Spearman R correlation were performed using Graph Pad Prism v.8.01.

Article Snippet: The data was collected with a BD LSR Fortessa X-20 flow cytometer and graphs plotted using FlowJo v.10.01.

Techniques: Flow Cytometry