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Series GSE65705 Query DataSets for GSE65705
Status Public on Sep 15, 2015
Title Characterization of the platelet transcriptome by RNA sequencing in patients with acute myocardial infarction.
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Recent technological advances have made transcriptome sequencing (RNA-seq) possible in cells with low RNA copy number including platelets. Resulting studies have used RNA-seq in platelets isolated from healthy individuals to characterize the platelet transcriptome. However, platelets, possibly through gene expression changes, contribute to the etiology of and response to cardiovascular disease and events. To address this, we performed the largest human platelet RNA-seq analysis to date in 34 platelet samples: 16 ST-segment elevation myocardial infarction (STEMI), 16 non-STEMI (NSTEMI), and 2 controls.
 
Overall design RNA-seq of platelet samples from 34 individuals: 16 with ST-elevation myocardial infarction (STEMI), 16 with non-STEMI, and 2 non-myocardial infarction controls
 
Contributor(s) Eicher JD, Wakabayashi Y, Vitseva O, Esa N, Yang Y, Zhu J, FreedmanĀ  JE, McManus DD, Johnson AD
Citation(s) 26367242
Submission date Feb 06, 2015
Last update date May 15, 2019
Contact name Andrew Danner Johnson
E-mail(s) johnsonad2@nhlbi.nih.gov
Phone 508-663-4082
Organization name National Heart, Lung and Blood Institute
Department Cardiovascular Epidemiology and Human Genomics Branch
Lab Johnson Lab
Street address The Framingham Heart Study
City Framingham
State/province MASSACHUSETTS
ZIP/Postal code 01746
Country USA
 
Platforms (1)
GPL11154 Illumina HiSeq 2000 (Homo sapiens)
Samples (34)
GSM1603316 MI Sample 1
GSM1603317 MI Sample 2
GSM1603318 MI Sample 4
Relations
BioProject PRJNA274751
SRA SRP053296

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
GSE65705_RAW.tar 250.3 Mb (http)(custom) TAR (of CSV)
GSE65705_RNAseq_ClinicalVars_GEO_13Nov2014.xls.gz 9.0 Kb (ftp)(http) XLS
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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