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Series GSE53510 Query DataSets for GSE53510
Status Public on Dec 31, 2015
Title Multiple waves of transcriptome changes during extended hypoxic induction in human pulmonary microvascular endothelial cells
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary We profile the expression pattern of human pulmonary microvascular endothelial cells (HPMECs) at different time points of hypoxic stress. Through mRNA-seq, we identify functional waves of minor gene up-regulation at 8 and 24h hypoxia exposure followed by a massive wave of transcriptional activation after 48 hours. By weighted gene co-expression network analysis, we identify hub genes that likely play central roles in hypoxia transcription program. Strikingly, these hub genes included a prominent group of lincRNAs, suggesting non-coding RNAs may also have pivotal roles in the hypoxia regulatory circuit. HPMECs share a core hypoxia signature profile, but with some notably differences, indicating a portion of HPMECs hypoxia response is cell-specific. Collectively, our study comprehensive surveys the hypoxia transcriptome, and provides insight into the temporal dynamics of hypoxia transcriptional response.
 
Overall design Time-course expression profiling of HPMECs exposed to hypoxia
 
Contributor(s) Huang K, Fan G
Citation missing Has this study been published? Please login to update or notify GEO.
Submission date Dec 19, 2013
Last update date May 15, 2019
Contact name Kevin Huang
Phone 310-267-0438
Organization name UCLA
Department Human Genetics
Lab Guoping Fan
Street address Gonda BLDG Rm. 6554, P.O.Box 957088
City Los Angeles
State/province CA
ZIP/Postal code 90095-7088
Country USA
 
Platforms (1)
GPL11154 Illumina HiSeq 2000 (Homo sapiens)
Samples (11)
GSM1295103 HPMEC 0h rep 1
GSM1295104 HPMEC 0h rep 2
GSM1295105 HPMEC 0h rep 3
Relations
BioProject PRJNA232177
SRA SRP034634

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE53510_metaRPKM.txt.gz 754.7 Kb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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