Transcriptional and functional profiling identifies inflammation and endothelial-to-mesenchymal transition as potential drivers for phenotypic heterogeneity within a cohort of endothelial colony forming cells.
Autor: | Laan SNJ; Department of Internal Medicine, Division of Thrombosis and Hemostasis, Leiden University Medical Centre, Leiden, the Netherlands; Department of Hematology, Erasmus University Medical Centre, Rotterdam, the Netherlands. Electronic address: https://twitter.com/laan_bas., de Boer S; Department of Internal Medicine, Division of Thrombosis and Hemostasis, Leiden University Medical Centre, Leiden, the Netherlands., Dirven RJ; Department of Internal Medicine, Division of Thrombosis and Hemostasis, Leiden University Medical Centre, Leiden, the Netherlands., van Moort I; Department of Hematology, Erasmus University Medical Centre, Rotterdam, the Netherlands., Kuipers TB; Sequencing Analysis Support Core, Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, the Netherlands., Mei H; Sequencing Analysis Support Core, Department of Biomedical Data Sciences, Leiden University Medical Centre, Leiden, the Netherlands., Bierings R; Department of Hematology, Erasmus University Medical Centre, Rotterdam, the Netherlands., Eikenboom J; Department of Internal Medicine, Division of Thrombosis and Hemostasis, Leiden University Medical Centre, Leiden, the Netherlands. Electronic address: h.c.j.eikenboom@lumc.nl. |
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Jazyk: | angličtina |
Zdroj: | Journal of thrombosis and haemostasis : JTH [J Thromb Haemost] 2024 Jul; Vol. 22 (7), pp. 2027-2038. Date of Electronic Publication: 2024 Apr 02. |
DOI: | 10.1016/j.jtha.2024.03.018 |
Abstrakt: | Background: Endothelial colony-forming cells (ECFCs) derived from patients can be used to investigate pathogenic mechanisms of vascular diseases like von Willebrand disease. Considerable phenotypic heterogeneity has been observed between ECFC clones derived from healthy donors. This heterogeneity needs to be well understood in order to use ECFCs as endothelial models for disease. Objectives: Therefore, we aimed to determine phenotypic and gene expression differences between control ECFCs. Methods: A total of 34 ECFC clones derived from 16 healthy controls were analyzed. The transcriptome of a selection of ECFC clones (n = 15) was analyzed by bulk RNA sequencing and gene set enrichment analysis. Gene expression was measured in all ECFC clones by quantitative polymerase chain reaction. Phenotypic profiling was performed and migration speed of the ECFCs was measured using confocal microscopy, followed by automated quantification of cell morphometrics and migration speed. Results: Through hierarchical clustering of RNA expression profiles, we could distinguish 2 major clusters within the ECFC cohort. Major differences were associated with proliferation and migration in cluster 1 and inflammation and endothelial-to-mesenchymal transition in cluster 2. Phenotypic profiling showed significantly more and smaller ECFCs in cluster 1, which contained more and longer Weibel-Palade bodies. Migration speed in cluster 1 was also significantly higher. Conclusion: We observed a range of different RNA expression patterns between ECFC clones, mostly associated with inflammation and clear differences in Weibel-Palade body count and structure. We developed a quantitative polymerase chain reaction panel that can be used for the characterization of ECFC clones, which is essential for the correct analysis of pathogenic mechanisms in vascular disorders. Competing Interests: Declaration of competing interests There are no competing interests to disclose. (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.) |
Databáze: | MEDLINE |
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