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Series GSE104714 Query DataSets for GSE104714
Status Public on Oct 08, 2017
Title Clustering gene expression time series data using an infinite Gaussian process mixture model
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary In order to identify and characterize novel human gene expression responses to glucocorticoids, we exposed the human lung adenocarcinoma cell line, A549, to the synthetic glucocorticoid dexamethasone for 1, 3, 5, 7, 9, and 11 hrs in duration as well as to a paired vehicle control, ethanol. We assayed gene expression with RNA-seq and clustered gene expression profiles using an infinite Gaussian process mixture model.
 
Overall design Time series treatment of human A549 cells with dexamethasone or paired vehicle control.
 
Contributor(s) Vockley CM, McDowell IC, Manandhar D, Schmid AK, Engelhardt BE, Reddy TE
Citation(s) 29337990
Submission date Oct 07, 2017
Last update date May 15, 2019
Contact name Timothy Reddy
E-mail(s) tim.reddy@duke.edu
Organization name Duke University
Lab Reddy Lab
Street address 101 Science Drive
City Durham
State/province NC
ZIP/Postal code 27705
Country USA
 
Platforms (1)
GPL11154 Illumina HiSeq 2000 (Homo sapiens)
Samples (24)
GSM2806559 DEX_1hr_Rep1
GSM2806560 DEX_1hr_Rep2
GSM2806561 DEX_3hr_Rep1
Relations
BioProject PRJNA413586
SRA SRP119557

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
GSE104714_DEX_EtOH_expression.tsv.gz 2.7 Mb (ftp)(http) TSV
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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