Fig. 4: MATCH analysis of protein and miRNA markers. | Nature Communications

Fig. 4: MATCH analysis of protein and miRNA markers.

From: Magnetic augmentation through multi-gradient coupling enables direct and programmable profiling of circulating biomarkers

Fig. 4

a Profiling of EV protein markers. MATCH was employed to profile protein markers (CD63, CD24, EpCAM, MUC1 and EGFR) in the lysates of EVs derived from various human cancer cell lines: ovarian (CaOV3), gastric (MKN45 and SNU484), colorectal (DLD-1 and HCT116) and lung (H3255 and PC9). Measurements were also performed with gold-standard ELISA as a comparison. Protein marker signals were normalized to that of GAPDH as the internal control. b Correlation of MATCH and ELISA. MATCH demonstrated good agreement with gold-standard ELISA measurements (Pearson’s r = 0.9293). c Profiling of EV miRNA markers. MATCH was employed to profile miRNA markers (miR-17-5p, miR-21-5p, miR-30d-5p, miR-182-5p, miR-199a-3p, miR-221-3p, miR-222-3p, miR-223-3p and miR-486-5p) in EV lysates derived from the same set of human cancer cell lines as in a. Measurements of purified RNA samples extracted from the same EV lysates were also performed with gold-standard RT-qPCR as a comparison. miRNA signals were normalized to the total RNA amounts of respective samples. d Correlation of MATCH and RT-qPCR. MATCH demonstrated good agreement with gold-standard RT-qPCR measurements (Pearson’s r = 0.7792). All measurements were performed in triplicate (n = 3 independent experiments) and the data are displayed as mean ± s.d. in (b and d) and as mean in a and c. Source data are provided as a Source Data file.

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