Back

Identifying transcriptomic downstream targets of genes commonly mutated in Hereditary Hemorrhagic Telangiectasia

Ali, M. K.; Liu, Y.; Schimmel, K.; Juul, N. H.; Stockman, C. A.; Wu, J. C.; Spiekerkoetter, E.

2022-11-26 cell biology
10.1101/2022.11.25.517570 bioRxiv
Show abstract

Hereditary Hemorrhagic Telangiectasia (HHT) is an autosomal dominant disease that causes arteriovenous vascular malformations (AVMs) in different organs, including the lung. Three genes, ENG (endoglin), ACVRL1 (ALK1) and SMAD4, all members of the TGF-{beta}/BMPR2 signaling pathway, are responsible for over 85% of all HHT cases. However, how these loss-of-function gene mutations lead to AVMs formation and what common downstream signaling they target is unknown. Here, using a combination of siRNA-mediated gene silencing, whole transcriptomic RNA sequencing, bioinformatic analysis, transcriptomic-based drug discovery, endothelial cells functional assays and VEGF signaling analysis, and ex vivo precision cut lung slice (PCLS) cultures approach, we uncovered common downstream transcriptomic gene signatures of HHT-casing genes and identified promising drug for HHT. We found the commonly used BMPR2-signaling downstream target ID1 is not a common downstream target of all the three HHT genes knockdown in human pulmonary microvascular endothelial cells (PMVECs). We identified novel common downstream targets of all the three HHT-causing genes that were enriched for HHT-related biological process and signaling pathways. Among those downstream genes, LYVE1, GPNMB, and MC5R were strong downstream targets that could serve as a better common downstream target than ID1. Furthermore, using the common downstream upregulated genes (HHT disease signature) following HHT gene knockdown, we identified a small molecule drug, Brivanib, that reversed the HHT disease signature, and inhibited VEGF-induced ERK1/2 phosphorylation, proliferation, and angiogenesis in PMVECs and inhibited some of the upregulated HHT disease genes in PCLS. Our findings suggest that Brivanib could be an emerging new drug for HHT.

Matching journals

The top 12 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.