Gene expression profile of normal and calcified stenotic human aortic valves
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE12644 | GEO | 2009/07/09
SECONDARY ACCESSION(S): PRJNA112831
REPOSITORIES: GEO
Similar Datasets
Project description:We explored gene expression profile of human aortic valves in patients with or without aortic stenosis. The dataset that we generated constitutes a large-scale quantitative measurements of gene expression in normal and stenotic human valves. The goal was to compare gene expression levels between the two groups and identified a list of genes that are up- or down-regulated in aortic stenosis. Keywords: disease state analysis Gene expression was performed on ten normal and ten aortic stenosis valves
2009-07-09 | E-GEOD-12644 | biostudies-arrayexpress
Project description:The objective of this study was to identify genes differentially expressed between calcified bicuspid aortic valves (BAV) and tricuspid valves with (TAVc) and without (TAVn) aortic valve stenosis. Ten human BAV and nine TAVc were collected from male who underwent primary aortic valve replacement. Eight TAVn were obtained from male who underwent heart transplantation. mRNA levels were measured using Illumina HumanHT-12 v4 Expression BeadChip and compared between valve groups.
2016-09-22 | GSE83453 | GEO
Project description:Transcriptional Profiling of Normal, Stenotic, and Regurgitant Human Aortic Valves
| PRJNA643226 | ENA
Project description:Purpose: The goal of this study is to characterize the gene expression profiles and identify genes of interest (GOI) in stenotic (AS) and regurgitant (AI) human aortic valves using RNA sequencing technology. Methods: Aortic valve leaflets were collected from non-matched transplant donor hearts (NC) and from aortic valve replacement operations (AS or AI). Leaflets were washed in cold PBS, snap frozen, and stored at -80°C until RNA extraction. For each sample, total RNA was extracted, a cDNA library was generated, and an Illumina HiSeq 2500 was used to sequence each sample. 150-bp paired-ends reads were generated with approximately 30 million reads per sample. Sequencing was performed in duplicate for each sample. Paired-end clean reads were aligned to the reference genome using STAR. HTSeq v0.6.1 was used to count the read numbers mapped to each gene. Fragments per kilobases per million (FPKM) were calculated to estimate the level of gene expression. Differential gene expression analysis was performed using the DESeq2 R package. A model based on the negative binomial distribution was used to determine differential gene expression (log 2 [fold change]). P-values were adjusted using the Benjamini-Hochberg approach for controlling false discovery rate. Genes with adjusted P-values <0.05 found by DESeq2 were assigned as differentially-expressed genes (DEGs). Results: RNA sequencing analysis identified 8,621 DEGs among the AS, AI, and NC valves. Specifically, 6,438 genes were found to be differentially expressed between the AS and NC groups; 4,994 genes were found to be differentially expressed between the AI and NC groups; and 2,771 genes were found to be differentially expressed between the AS and AI groups. Of these, 1,979 (31%) genes were expressed at statistically different levels between the AS and NC groups, and 1,428 (29%) genes were expressed at statistically different levels between the AI and NC groups Conclusions: Overall, we have sequenced aortic leaflets from non-matched transplant donor hearts , thereby establishing a new standard for normal aortic valve transcriptional profiling. We have also sequenced human aortic valves with AI and demonstrated that valves with AI and AS possess unique gene expression patterns. The plethora of DEGs identified and our novel PPI networks for AS and AI have revealed new pathways missed by previous aortic valve studies. Our data lays the foundation for future gene editing studies and may guide researchers in developing novel therapeutic interventions for AS and AI.
2020-07-01 | GSE153555 | GEO
Project description:Purpose: Calcific aortic valve stenosis (AS) is a fatal disease with currently no medical therapy. Some genes were associated with AS, but the genetic architecture of the disease has yet to be discovered. The objective of this study was to combine genome-wide association studies (GWAS) and gene expression in human valve tissues to identify new susceptibility genes of AS. Methods: A meta-analysis was performed combining the results of two independent GWAS in 474 patients that underwent aortic valve replacement from Quebec city and 486 echocardiography cases from France. The controls consisted of 3,151 publically available individuals of European ancestry. Sixty-nine SNPs selected from the meta-analysis (p < 1 x 10-4) were followed-up for replication in a third cohort of 395 cases and 404 controls. Single marker and gene set association analyses were performed. The mRNA expression levels of susceptibility genes were evaluated in 19 human aortic valves with (n=9) and without (n=10) AS by RNA sequencing. Results: Single marker analysis identified 15 SNPs with p values lower than 1 x 10-6 in the meta-analysis near the FAR2 gene on chromosome 12. At the replication stage, none of these SNPs were confirmed and three other SNPs on chromosomes 2 and 5 reached p < 0.05. Gene set analysis revealed more meaningful association with the calcium signaling pathway enriched for genes mapped to disease-associated SNPs. Genes in this pathway including F2R, GNA14, HTR4, P2RX6, and TNNC1 were found differentially expressed in valves with and without AS. Conclusions: This integrative genomic study identified new AS susceptibility genes expressed in human valve tissue. Moderate but coordinated genetic association and expression patterns were observed for genes implicated in the calcium signaling pathway and may provide new therapeutic targets to treat this frequent and rising life-threatening disease. Samples of aortic valves were collected from 19 male patients undergoing aortic valve replacement surgery. RNA sequencing was performed using the Illumina Hiseq 2000. Three pairwise comparison among the two kind of valves were made.
2015-12-09 | E-GEOD-55492 | biostudies-arrayexpress
Project description:Aortic valves are collected from patients with severe aortic valve stenosis undergoing aortic valve replacement at the Institut universitaire de cardiologie et de pneumologie de Québec (IUCPQ), Quebec City, Canada. From this biobank collection, transcriptomic analyses from 240 aortic valves were performed. All valves were tricuspid and had a fibro-calcific remodeling score of 3 or 4. RNA was extracted from valve leaflets and gene expression evaluated using the Illumina HumanHT-12 v4 Expression BeadChip. The main objective of this study was to perform a large-scale expression quantitative trait loci (eQTL) mapping study on human aortic valves.
2018-03-14 | GSE102249 | GEO
Project description:Calcified aortic valve leaflets (CAVs) were explanted from patients with severe aortic valve stenosis undergoing aortic valve replacement at the Department of Cardiovascular Surgery, Union Hospital, affiliated to Tongji Medical College. Control non-calcified aortic valves with normal echocardiographic analyses were obtained during heart transplant procedures. RNA was extracted from valve leaflets and gene expression evaluated using the Arraystar Human mRNA Array. This study aimed to perform the expression analysis of mRNA on human aortic valves.
2020-07-26 | GSE155119 | GEO
Project description:Purpose: The molecular mechanisms leading to premature development of aortic valve stenosis (AS) in individuals with a bicuspid aortic valve (BAV) are unknown. The objective of this study was to identify genes differentially expressed between calcified BAV and tricuspid valves with (TAVc) and without (TAVn) calcification using RNA sequencing (RNA-Seq). Methods: Ten human calcified BAV and nine TAVc were collected from men who underwent aortic valve replacement. Eight TAVn were obtained from men who underwent heart transplantation. mRNA levels were measured using the Illumina HiSeq 2000 system. Reads were aligned with TopHat. Cuffdiff, DESeq, edgeR, and SAMSeq were used to compare gene expression. Genes with adjusted P < 0.05 in the four methods were called differentially expressed. Pathway analysis was performed with IPA. Results: Two genes were up-regulated and none were down-regulated in BAV compared to TAVc. There were 462 genes up-regulated and 282 down-regulated in BAV compared to TAVn. Compared to TAVn, 329 genes were up- and 170 were down-regulated in TAVc. Conclusions: This is the first transcriptome study on calcified and normal aortic valves using RNA-Seq. BAV and TAVc have a highly similar expression profile. These results contribute to our molecular understanding of AS and the identification of new therapeutic targets that are urgently needed to prevent, slow the development or treat AS in patients with bicuspid and tricuspid valves.
2016-09-22 | GSE76712 | GEO
Project description:Purpose: The molecular mechanisms leading to premature development of aortic valve stenosis (AS) in individuals with a bicuspid aortic valve (BAV) are unknown. The objective of this study was to identify genes differentially expressed between calcified BAV and tricuspid valves with (TAVc) and without (TAVn) calcification using RNA sequencing (RNA-Seq). Methods: Ten human calcified BAV and nine TAVc were collected from men who underwent aortic valve replacement. Eight TAVn were obtained from men who underwent heart transplantation. mRNA levels were measured using the Illumina HiSeq 2000 system. Reads were aligned with TopHat. Cuffdiff, DESeq, edgeR, and SAMSeq were used to compare gene expression. Genes with adjusted P < 0.05 in the four methods were called differentially expressed. Pathway analysis was performed with IPA. Results: Two genes were up-regulated and none were down-regulated in BAV compared to TAVc. There were 462 genes up-regulated and 282 down-regulated in BAV compared to TAVn. Compared to TAVn, 329 genes were up- and 170 were down-regulated in TAVc. Conclusions: This is the first transcriptome study on calcified and normal aortic valves using RNA-Seq. BAV and TAVc have a highly similar expression profile. These results contribute to our molecular understanding of AS and the identification of new therapeutic targets that are urgently needed to prevent, slow the development or treat AS in patients with bicuspid and tricuspid valves.
2016-09-22 | GSE76717 | GEO
Project description:RNA-seq on aortic valves from WT vs N1-haploinsufficient telomere-shortened (generation 2 Terc-/-) mice with either healthy AVs or AV stenosis treated with control solvent or XCT790
2021-01-01 | GSE152061 | GEO