|
Status |
Public on Jan 24, 2018 |
Title |
Total RNA deep sequencing (ribosomal depleted) of human umbilical vein endothelial cells exposed to hypoxia (0.2%) for 12h and 24h or kept under normoxic conditions. |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by high throughput sequencing
|
Summary |
Impaired or excessive growth of endothelial cells contributes to several diseases. However, the functional involvement of regulatory long non-coding RNAs in these processes is not well defined. Here we show that the long non-coding antisense transcript of GATA6 (GATA6-AS) interacts with the epigenetic regulator LOXL2 to regulate endothelial gene expression via changes in histone methylation. Using RNA deep sequencing, we find that GATA6-AS is up-regulated in endothelial cells during hypoxia. Silencing of GATA6-AS diminishes TGF-?2-induced endothelial-mesenchymal transition in vitro and promotes formation of blood vessels in mice. We identify LOXL2, known to remove activating H3K4me3 chromatin marks, as a GATA6-AS-associated protein, and reveal a set of angiogenesis-related genes that are inversely regulated by LOXL2 and GATA6-AS silencing. As GATA6-AS silencing reduces H3K4me3 methylation of two of these genes, periostin and cyclooxygenase-2, we conclude that GATA6-AS acts as negative regulator of nuclear LOXL2 function.
|
|
|
Overall design |
Human umbilical vein endothelial cell ribo-minus RNA deep sequencing. We used two replicate samples per 12h and 24h of normoxic and hypoxic conditions.
|
|
|
Contributor(s) |
Neumann P, Stefanie D |
Citation(s) |
29339785 |
|
Submission date |
Nov 16, 2017 |
Last update date |
May 15, 2019 |
Contact name |
Philipp Neumann |
E-mail(s) |
der.philipp.neumann@gmail.com
|
Organization name |
Institute for Cardiovascular Regeneration
|
Street address |
Theodor-Stern-Kai 7
|
City |
Frankfurt am Main |
State/province |
Hessen |
ZIP/Postal code |
60590 |
Country |
Germany |
|
|
Platforms (1) |
GPL16791 |
Illumina HiSeq 2500 (Homo sapiens) |
|
Samples (8)
|
|
This SubSeries is part of SuperSeries: |
GSE107033 |
Endothelial gene expression analysis |
|
Relations |
BioProject |
PRJNA418883 |
SRA |
SRP125237 |