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. 2020 Dec 2:18:3977-3986.
doi: 10.1016/j.csbj.2020.11.048. eCollection 2020.

Genetic perturbation of IFN-α transcriptional modulators in human endothelial cells uncovers pivotal regulators of angiogenesis

Affiliations

Genetic perturbation of IFN-α transcriptional modulators in human endothelial cells uncovers pivotal regulators of angiogenesis

Francesco Ciccarese et al. Comput Struct Biotechnol J. .

Erratum in

Abstract

Interferon-α (IFN-α) comprises a family of 13 cytokines involved in the modulation of antiviral, immune, and anticancer responses by orchestrating a complex transcriptional network. The activation of IFN-α signaling pathway in endothelial cells results in decreased proliferation and migration, ultimately leading to suppression of angiogenesis. In this study, we knocked-down the expression of seven established or candidate modulators of IFN-α response in endothelial cells to reconstruct a gene regulatory network and to investigate the antiangiogenic activity of IFN-α. This genetic perturbation approach, along with the analysis of interferon-induced gene expression dynamics, highlighted a complex and highly interconnected network, in which the angiostatic chemokine C-X-C Motif Chemokine Ligand 10 (CXCL10) was a central node targeted by multiple modulators. IFN-α-induced secretion of CXCL10 protein by endothelial cells was blunted by the silencing of Signal Transducer and Activator of Transcription 1 (STAT1) and of Interferon Regulatory Factor 1 (IRF1) and it was exacerbated by the silencing of Ubiquitin Specific Peptidase 18 (USP18). In vitro sprouting assay, which mimics in vivo angiogenesis, confirmed STAT1 as a positive modulator and USP18 as a negative modulator of IFN-α-mediated sprouting suppression. Our data reveal an unprecedented physiological regulation of angiogenesis in endothelial cells through a tonic IFN-α signaling, whose enhancement could represent a viable strategy to suppress tumor neoangiogenesis.

Keywords: Angiogenesis; CXCL10; IFN-α; Regulatory network; Transcriptional modulators.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

None
Graphical abstract
Fig. 1
Fig. 1
K-means clustering of -ΔCt temporal profiles. Five temporal patterns of modulations were identified in response to IFN-α stimulation (0 h) and subsequent wash-out (8 h). Single gene profiles are depicted in gray, while cluster average profiles are colored. N indicates the cluster size.
Fig. 2
Fig. 2
IFN-α regulatory network inference. Multiple-output FFL regulatory subnetwork reconstructed from the silencing of the seven IFN-α modulators. Lines represent influence regulations in the IFN-α stimulation (2 h/8 h; solid line) and wash-out (12 h; dashed lines) phase. Arrow styles stand for: arrow, activation; , repression; dot, unspecified sign of regulation.
Fig. 3
Fig. 3
Measurement of CXCL10 levels in supernatants of HUVECs following silencing of STAT1, IFIH1, USP18 and IRF1. Measurement of CXCL10 levels following STAT1, IFIH1, USP18 and IRF1 siRNA-mediated silencing in HUVECs from 3 different donors. ** p<0.01 siCTRL vs. siCTRL + IFN-α; § p<0.05, §§ p<0.01, §§§ p<0.001 siSTAT1/IFIH1/USP18/IRF1 + IFN-α vs. siCTRL + IFN-α.
Fig. 4
Fig. 4
Modulation of STAT1, USP18, IFIH1, GBP1, and IRF1 affects in vitro EC sprouting. (a) Representative pictures of spheroids obtained from 4 independent sprouting assays on HUVECs treated with 20 ng/ml VEGF, with or without 600 IU/ml IFN-α, upon STAT1, USP18, IFIH1, GBP1 and IRF1 silencing or scrambled siRNA treatment (siCTRL). (b) Quantification of sprout areas from 4 independent sprouting assays in the absence and in the presence of IFN-α. *** p<0.001 siSTAT1/USP18/IFIH1/GBP1/IRF1 vs. siCTRL; § p<0.05, §§ p<0.01, §§§ p<0.001 VEGF + IFN-α vs. VEGF alone.

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