Whole blood transcriptomic profiles from older patients
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ABSTRACT:
PROVIDER: PRJNA1087746 | ENA |
REPOSITORIES: ENA
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Project description:The primary objective of this study was to investigate whole blood transcriptomic signatures in older populations and to assess their relationship with peripheral lymphocyte populations. Whole blood gene expression profiles were evaluated in a cohort of aged individuals undergoing open heart surgery. Transcriptomic signatures were assessed between clinical groupings and proportions of lymphocyte populations from flow cytometry analysis.
2025-06-02 | GSE261587 | GEO
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Project description:Identification and validation of potential prognostic biomarkers in older ovarian cancer patients with high-grade serous adenocarcinoma (HGSC)
2020-03-01 | GSE126308 | GEO
Project description:Investigation of gene expression profiles in blood of previous aSAH patients, aiming to gain insight into the pathogenesis of IA and aSAH, and to make a first step towards improvement of aSAH risk prediction. The results indicate that no gene expression differences are present in blood of previous aSAH patients compared to controls, besides one differentially co-expressed gene network without a clear relevant biological function.
2015-09-24 | GSE73378 | GEO
Project description:Venous thromboembolism (VTE) is a major cause of morbidity and mortality. Pulmonary embolism is a life threatening manifestation of VTE that occurs in at least half the patients on presentation. In addition, VTE recurs in up to 30% of patients after a standard course of anticoagulation, and there is not a reliable way of predicting recurrence. We investigated whether gene expression profiles of whole blood could distinguish patients with VTE from healthy controls, single VTE from those with recurrence, and DVT alone from those with PE. 70 adults with VTE on warfarin and 63 healthy controls were studied. Patients with antiphospholipid syndrome or cancer were excluded. Blood was collected in PAXgene tubes, RNA isolated, and gene expression profiles obtained using Affymetrix arrays. We developed a 50 gene model that distinguished healthy controls from subjects with VTE with excellent receiver operating characteristics (AUC 0.94; P < 0.0001). We also discovered a separate 50 gene model that distinguished subjects with a single VTE from those with recurrent VTE with good receiver operating characteristics (AUC 0.75; P=0.008). In contrast, we were unable to distinguish subjects with DVT from those with PE using gene expression profiles. Gene expression profiles of whole blood can distinguish subjects with VTE from healthy controls and subjects with a single VTE from those with recurrence. Additional studies should be performed to validate these results and develop diagnostic tests. Gene expression profiling is likely translatable to other thrombotic disorders(e.g., patients with cancer and VTE).
2011-11-10 | GSE19151 | GEO
Project description:Investigation of gene expression profiles in blood of previous aSAH patients, aiming to gain insight into the pathogenesis of IA and aSAH, and to make a first step towards improvement of aSAH risk prediction. The results indicate that no gene expression differences are present in blood of previous aSAH patients compared to controls, besides one differentially co-expressed gene network without a clear relevant biological function. We collected peripheral blood of 119 patients with aSAH at least two years prior, and 118 controls. We determined gene expression profiles using Illumina HumanHT-12v4 BeadChips. After quality control, we divided the dataset in a discovery (2/3) and replication set (1/3), identified differentially expressed genes, and applied (co-)differential co-expression to identify disease-related gene networks.
2015-09-24 | E-GEOD-73378 | biostudies-arrayexpress
Project description:Venous thromboembolism (VTE) is a major cause of morbidity and mortality. Pulmonary embolism is a life threatening manifestation of VTE that occurs in at least half the patients on presentation. In addition, VTE recurs in up to 30% of patients after a standard course of anticoagulation, and there is not a reliable way of predicting recurrence. We investigated whether gene expression profiles of whole blood could distinguish patients with VTE from healthy controls, single VTE from those with recurrence, and DVT alone from those with PE. 70 adults with VTE on warfarin and 63 healthy controls were studied. Patients with antiphospholipid syndrome or cancer were excluded. Blood was collected in PAXgene tubes, RNA isolated, and gene expression profiles obtained using Affymetrix arrays. We developed a 50 gene model that distinguished healthy controls from subjects with VTE with excellent receiver operating characteristics (AUC 0.94; P < 0.0001). We also discovered a separate 50 gene model that distinguished subjects with a single VTE from those with recurrent VTE with good receiver operating characteristics (AUC 0.75; P=0.008). In contrast, we were unable to distinguish subjects with DVT from those with PE using gene expression profiles. Gene expression profiles of whole blood can distinguish subjects with VTE from healthy controls and subjects with a single VTE from those with recurrence. Additional studies should be performed to validate these results and develop diagnostic tests. Gene expression profiling is likely translatable to other thrombotic disorders(e.g., patients with cancer and VTE). 70 adults with one or more prior VTE on warfarin and 63 healthy controls were studied. Patients with antiphospholipid syndrome or cancer were excluded. Blood was collected in PAXgene tubes, RNA isolated, and gene expression profiles obtained using Affymetrix arrays.
2011-11-10 | E-GEOD-19151 | biostudies-arrayexpress
Project description:Human DNA methylation Beadchip v1.2 was used to profile n=310 whole blood samples. The main goal of the study was to measure the epigenetic age (also known as DNA methylation age) of different ethnic groups. Here we focus on subjects older than 35. Groups include Tsimane Indians, Hispanics, and Caucasian samples. To measure DNA methylation age, we used the epigenetic clock software described in Horvath S (n=2013) DNA methylation age of human tissues and cell types. Genome Biology.2013, 14:R115. DOI: 10.1186/10.1186/gb-2013-14-10-r115 PMID: 24138928.
2016-07-13 | GSE72773 | GEO
Project description:Background: Tumoral masses are not only composed of malignant cells, but also enclose a more or less ample stromal micromilieu, which has been shown to influence the cancer cell behaviour. As aging induces accumulation of senescent cells in the body, this micromilieu is thought to be different in cancers occurring in old patients compared to the younger counterparts. More specifically, senescence-related fibroblastic features, such as the Senescence Associated Secretory Profile (SASP) and the induction of Autophagy, are suspected to stimulate tumor growth and progression. Methods: We compared gene expression profiles in stromal fields of breast carcinomas by performing laser capture microdissection of the cancer-associated stroma from 8 old (≥80 years at diagnosis) and 9 young (< 45 years at diagnosis) triple negative breast cancer patients. Gene expression data were obtained by microarray analysis (Affymetrix). Differential gene expression and Gene Set Enrichment Analysis (GSEA) were performed. Results: Differential gene expression analysis showed higher growth-, dedifferentiation- and migration- promoting gene expression in the stromal samples of older vs younger patients. GSEA confirmed the presence of a SASP, as well as the presence of Autophagy in the stroma of older patients. Conclusion: We provide the first evidence in humans that older age at diagnosis is associated with a different stromal micromilieu in breast cancers. The SASP and the presence of Autophagy appear to be important age-induced stromal features.
2016-11-26 | GSE90521 | GEO
Project description:Whole blood transcriptomics of patients with melioidosis
| PRJNA1142093 | ENA