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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
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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.
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Overall design |
Time series treatment of human A549 cells with dexamethasone or paired vehicle control.
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Contributor(s) |
Vockley CM, McDowell IC, Manandhar D, Schmid AK, Engelhardt BE, Reddy TE |
Citation(s) |
29337990 |
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Submission date |
Oct 07, 2017 |
Last update date |
May 15, 2019 |
Contact name |
Timothy Reddy |
E-mail(s) |
tim.reddy@duke.edu
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Organization name |
Duke University
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Lab |
Reddy Lab
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Street address |
101 Science Drive
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City |
Durham |
State/province |
NC |
ZIP/Postal code |
27705 |
Country |
USA |
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Platforms (1) |
GPL11154 |
Illumina HiSeq 2000 (Homo sapiens) |
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Samples (24)
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Relations |
BioProject |
PRJNA413586 |
SRA |
SRP119557 |
Supplementary file |
Size |
Download |
File type/resource |
GSE104714_DEX_EtOH_expression.tsv.gz |
2.7 Mb |
(ftp)(http) |
TSV |
SRA Run Selector |
Raw data are available in SRA |
Processed data are available on Series record |
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