Transcriptomics

Dataset Information

0

Hyperglycemic conditions induce rapid cell dysfunction-promoting transcriptional alterations in human aortic endothelial cells.


ABSTRACT: We report the first deep RNASeq time-series dataset (n=96 samples) of human aortic endothelial cells (HAECs) following exposure to normal (NG) and high glucose (HG) conditions over a time course from baseline to 24 hours (0, 0.5, 1, 4, 8 and 24 hours). We identify rapid and transient transcriptomic changes, alteration of molecular networks, and document temporal transcriptional dynamics of in HAECs.

ORGANISM(S): Homo sapiens

PROVIDER: GSE203284 | GEO | 2022/05/21

REPOSITORIES: GEO

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2023-01-03 | GSE216833 | GEO
2021-04-13 | GSE152468 | GEO
2021-01-13 | GSE160611 | GEO
2018-05-16 | E-MTAB-6605 | biostudies-arrayexpress
2024-02-09 | GSE236529 | GEO
| EGAS00001004912 | EGA
2010-07-01 | E-CBIL-45 | biostudies-arrayexpress
| PRJNA741863 | ENA
| PRJNA839359 | ENA
2013-12-20 | E-GEOD-35142 | biostudies-arrayexpress