Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA306018 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Younger age and VTE recurrence are more likely to be caused by genetic risk factors than secondary VTE in older patients who more likely have comorbidities. When the exome rare variant genotyping database of the Scripps VTE Registry for adults < 55 yrs old was generated and analyzed for single nucleotide polymorphisms (SNPs). Two F5 related SNPs (rs6025, factor V Leiden and rs6687813) exceeded significance (FDR (false discovery rate) p < 0.05). No other variants met genome-wide significance. When the data for the subgroup of cases with recurrent VTE that are more likely to have genetic risk factors than cases with a single VTE episode were compared to controls (N=211 controls and N=32 recurrent VTE cases), 28 SNPs, including the F5 rs6025 SNP, achieved significance (FDR p < 0.05).
2021-12-04 | GSE76016 | GEO
Project description:Axiom® Exome 319 Array data to identify susceptible genetic variations of gastric cancer
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Project description:PKD2 Arg803* is the most common mutation in Taiwan ADPKD Cohort. Genotyping of 96 PKD2 Arg803* individuals was performed in Axiom Genome-Wide TWB 2.0 Array Plate to study the existence of founder mutation in Taiwan
2022-06-07 | E-MTAB-11846 | biostudies-arrayexpress
Project description:Leukocyte flux contributes to thrombus formation in deep veins under pathologic conditions, but mechanisms which inhibit venous thrombosis are incompletely understood. Ectonucleotide di(tri)phosphohydrolase 1 (ENTPD1 or Cd39), an ectoenzyme which catabolizes extracellular adenine nucleotides, is embedded on the surface of endothelial cells and leukocytes. We hypothesized that under venous stasis conditions CD39 regulates inflammation at the vein:blood interface in a murine model of deep vein thrombosis. Gene expression profiling of WT and Cd39-null mice revealed 76 differentially-expressed inflammatory genes that were significantly upregulated in Cd39-deleted mice after venous thrombosis; and validation experiments confirmed high expression of several key inflammatory mediators.
2019-02-01 | GSE125965 | GEO
Project description:GENEVA GWAS of Venous Thrombosis
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Project description:Arterial and venous (A/V) thrombosis constitutes the greatest source of morbidity and mortality worldwide. Long considered as distinct entities, accumulating evidence indicates that A/V thrombosis can occur in the same populations suggesting that common mechanisms are likely operative. Although hyperactivation of the immune system is a common forerunner to the genesis of thrombotic events in both vascular systems, the key molecular control points remain poorly understood. Consequently, anti-thrombotic therapies targeting the immune system for therapeutic gain are lacking. Here we show that neutrophils are key effectors of both A/V thrombosis and can be targeted via novel immunoregulatory nanoparticles. Using antiphopholipid antibody syndrome (APS) as a model for devastating A/V thrombosis, we identified the transcription factor Krüppel-like factor 2 (KLF2) as a key regulator of neutrophil activation. Upon activation via genetic loss of KLF2 or administration of antiphospholipid antibodies, neutrophils cluster P-selectin glycoprotein ligand 1 (PSGL-1) via cortical actin remodeling, thereby increasing adhesion potential at thrombosis sites. Targeting clustered PSGL-1 using designer nanoparticles attenuates neutrophil-mediated A/V thrombosis in APS and KLF2 knockout models, illustrating the importance and feasibility of targeting activated neutrophils to prevent pathological thrombosis. Together, our results demosntrate a role for activated neutrophils to prevent pathological thrombosis. Together, our results demonstrate a role for activated neutorphils in both arterial and venous thrombosis and identify key molecular events that serve as potential targets for therapeutics against diverse causes of immunothrombosis.
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Project description:For developing the more SNPs and new high-density genetic linkage map of tea plant, two parents and their 326 progenies and 147 registered tea cultivars was sequencing by newly developed Affymetrix Axiom genotyping technology
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Project description:To accelerate genetic studies in sugarcane, an Axiom Sugarcane100K single nucleotide polymorphism (SNP) array was designed and customized in this study. Target enrichment sequencing 300 sugarcane accessions selected from the world collection of sugarcane and related grass species yielded more than four million SNPs, from which a total of 31,449 single dose (SD) SNPs and 68,648 low dosage (33,277 SD and 35,371 double dose) SNPs from two datasets respectively were selected and tiled on Affymetrix Axiom SNP array. Most of selected SNPs (91.77%) were located within genic regions (12,935 genes), with an average of 7.1 SNPs/gene according to sorghum gene models. This newly developed array was used to genotype 469 sugarcane clones, including one F1 population derived from cross between Green German and IND81-146, one selfing population derived from CP80-1827, and 11 diverse sugarcane accessions as controls. Results of genotyping revealed a high polymorphic SNP rate (77.04%) among the 469 samples. Three linkage maps were constructed by using SD SNP markers, including a genetic map for Green German with 3,482 SD SNP markers spanning 3,336 cM, a map for IND81-146 with 1,513 SD SNP markers spanning 2,615 cM, and a map for CP80-1827 with 536 SD SNP markers spanning 3,651 cM. Quantitative trait loci (QTL) analysis identified a total of 18 QTLs controlling Sugarcane yellow leaf virus resistance segregating in the two mapping populations, harboring 27 disease resistant genes. This study demonstrated the successful development and utilization of a SNP array as an efficient genetic tool for high throughput genotyping in highly polyploid sugarcane.
2019-12-17 | GSE128450 | GEO
Project description:Deep vein thrombosis (DVT) is a common clinical problem, but its cellular and molecular mechanisms remain incompletely understood. We performed single-cell RNA sequencing (scRNA-seq) on the vein wall of mouse inferior vena cava (IVC) ligation model of deep vein thrombosis (DVT), to analyze the transcriptomic changes in the vein wall during acute venous thrombosis.
2023-02-10 | GSE221978 | GEO