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. 2022 Apr 7;11(8):1254. doi: 10.3390/cells11081254

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© 2022 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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Promising novel biomarker candidates were identified using a self-developed miRNA processing workflow. (A) Bioinformatics workflow that was applied to the miRNA-Seq data to identify novel platelet-enriched miRNAs (“thrombomiR candidates”) (adapted from [34]). (B) Venn diagram showing that 72 miRNAs fulfilled all of the pre-determined criteria. (C) The three most promising novel platelet miRNA candidates represented as RPMMs and ΔCq for qPCR data (n = 4). Biofluids are depicted on the left (blue dots = PPP, PRP; turquoise dots = supernatant), blood cells on the right (green dots = platelets; red dots = erythrocytes, leukocytes).

Promising novel biomarker candidates were identified using a self-developed miRNA processing workflow. (A) Bioinformatics workflow that was applied to the miRNA-Seq data to identify novel platelet-enriched miRNAs (“thrombomiR candidates”) (adapted from [34]). (B) Venn diagram showing that 72 miRNAs fulfilled all of the pre-determined criteria. (C) The three most promising novel platelet miRNA candidates represented as RPMMs and ΔCq for qPCR data (n = 4). Biofluids are depicted on the left (blue dots = PPP, PRP; turquoise dots = supernatant), blood cells on the right (green dots = platelets; red dots = erythrocytes, leukocytes).