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Series GSE202625 Query DataSets for GSE202625
Status Public on Jun 29, 2022
Title Whole-blood transcriptional profiles early predict the presence of coronary atherosclerosis and high-risk plaque features at coronary CT angiography
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary This study aims at identifying gene expression patterns in the whole blood that could differentiate patients with severe coronary atherosclerosis from subjects without detectable coronary artery disease (CAD), and assess associations of gene expression patterns with plaque features at coronary CT angiography (CCTA). Patients undergoing CCTA for suspected CAD, with no cardiovascular history, were enrolled. Coronary stenosis was quantified and CCTA plaque features were assessed. The whole-blood transcriptome was analyzed by RNA-Sequencing. We detected highly significant differences in the circulating transcriptome between patients with high-degree coronary stenosis (> 70%) at CCTA and subjects with the absence of coronary plaques. Noteworthy, regression analysis revealed expression signatures associated with Leaman score, segment involved score, segment-stenosis score, and plaque volume with density <150 HU at CCTA. This pilot study shows that patients with significant coronary stenosis are characterized by whole blood transcriptome profiles that may discriminate them from patients without CAD. Furthermore, our results suggest that whole blood transcriptional profiles may predict plaque characteristics.
 
Overall design Whole blood poly(A)+ RNA profiles of 27 CAD and 25 noCAD patients were generated through RNA-Seq using Ion S5 system.
Web link https://www.mdpi.com/2227-9059/10/6/1309
 
Contributor(s) Vavassori C, Chiesa M, Piacentini L, Manzoni M, Cipriani E, Colombo GI
Citation(s) 35740331
Submission date May 10, 2022
Last update date Jun 30, 2022
Contact name Gualtiero Ivanoe Colombo
E-mail(s) gualtiero.colombo@cardiologicomonzino.it
Phone +39 0258002464
Organization name Centro Cardiologico Monzino IRCCS
Lab Immunology and Functional Genomics
Street address Via Carlo Parea, 4
City Milano
ZIP/Postal code 20138
Country Italy
 
Platforms (1)
GPL23934 Ion Torrent S5 (Homo sapiens)
Samples (52)
GSM6125924 CAD_01 [EP00004]
GSM6125925 CAD_02 [EP00031]
GSM6125926 CAD_03 [EP00050]
Relations
BioProject PRJNA836853

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
GSE202625_Count_Matrix.txt.gz 2.1 Mb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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