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B66b3472-05b3-423d-be5b-44d292d16290 - samples

ABSTRACT: SF10679 snATAC Seq. Oligodendroglioma, Anaplastic (WHO gr. 3). Tumor Location: Frontal Age: 43. Sex: Male.

PROVIDER: EGAD00001006312 | EGA |

REPOSITORIES: EGA

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08610a6d-c13d-446a-b2f9-6ab9c5851a88 - samples

Project description:SF10207 snATAC Seq. Oligodendroglioma, Anaplastic (WHO gr. 3). Tumor Location:Frontal. Age:43. Sex: Male

| EGAD00001006319 | EGA

2fe3a098-68ad-4eb0-b026-17ae6f75c570 - samples

Project description:SF12374 snATAC Oligodendroglioma. Tumor Location: Right frontal. Age: 33. Sex: Male.

| EGAD00001006315 | EGA

c7323295-9332-40ab-97dd-2b5a5a7375dc - samples

Project description:SF10619 snATAC Oligodendroglioma (WHO gr. 2).Tumor Location: Parietal. Age: 52. Sex: Male

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af727b32-3e89-4bd8-b2c9-2cdb131a0dc6 - samples

Project description:SF4007 snATAC Seq. Oligodendroglioma (WHO gr. 2) Tumor Location: Left frontotemporal. Age:33. Sex: Female.

| EGAD00001006317 | EGA

f29d05d4-6b68-463b-8db5-7368842bcf19 - samples

Project description:SF11940 snATAC Sequencing.Anaplastic Astrocytoma, IDH-mutant. Tumor location: Left Frontal. Age: 29. Sex: Male .

| EGAD00001006311 | EGA

fa0355ac-c7b9-4f74-92ce-ec5cf1a4f641 - samples

Project description:SF11310 Oligodendroglioma, IDH-mutant.Tumor Location: Frontal. Age:22. Sex: Female

| EGAD00001006313 | EGA

a48ad771-02b3-4359-9041-4996c6b9fddf - samples

Project description:Oligodendroglioma, Anaplastic (WHO gr. 3

| EGAD00001008298 | EGA

9ece7e88-c6f7-4a12-ae89-9edbac17390d - samples

Project description:Oligodendroglioma, Anaplastic (WHO gr. 3

| EGAD00001008302 | EGA

Deletion of the Cardiomyocyte Glucocorticoid Receptor Leads to Sexually Dimorphic Changes in Cardiac Gene Expression and Progression to Heart Failure

Project description:Background The contribution of glucocorticoids to sexual dimorphism in the heart is essentially unknown. Therefore, we sought to determine the sexually dimorphic actions of glucocorticoid signaling in cardiac function and gene expression. To accomplish this goal, we conducted studies on mice lacking glucocorticoid receptors (GR) in cardiomyocytes (cardioGRKO mouse model). Methods and Results Deletion of cardiomyocyte GR leads to an increase in mortality because of the development of spontaneous cardiac pathology in both male and female mice; however, females are more resistant to GR signaling inactivation in the heart. Male cardioGRKO mice had a median survival age of 6 months. In contrast, females had a median survival age of 10 months. Transthoracic echocardiography data showed phenotypic differences between male and female cardioGRKO hearts. By 3 months of age, male cardioGRKO mice exhibited left ventricular systolic dysfunction. Conversely, no significant functional deficits were observed in female cardioGRKO mice at the same time point. Functional sensitivity of male hearts to the loss of cardiomyocyte GR was reversed following gonadectomy. RNA‐Seq analysis showed that deleting GR in the male hearts leads to a more profound dysregulation in the expression of genes implicated in heart rate regulation (calcium handling). In agreement with these gene expression data, cardiomyocytes isolated from male cardioGRKO hearts displayed altered intracellular calcium responses. In contrast, female GR‐deficient cardiomyocytes presented a response comparable with controls. Conclusions These data suggest that GR regulates calcium responses in a sex‐biased manner, leading to sexually distinct responses to stress in male and female mice hearts, which may contribute to sex differences in heart disease, including the development of ventricular arrhythmias that contribute to heart failure and sudden death.

2019-12-30 | GSE120573 | GEO

caArray_louis-00379: Gene Expression-based Classification of Malignant Gliomas Correlates Better with Survival than Histological Classification

Project description:Microarray analysis was used to determine the expression of 12,000 genes in a set of 50 gliomas, 28 glioblastomas and 22 anaplastic oligodendrogliomas. Supervised learning approaches were used to build a two-class prediction model based on a subset of 14 glioblastomas and 7 anaplastic oligodendrogliomas with classic histology. A 20-feature k-nearest neighbor model correctly classified 18 of the 21 classic cases in leave-one-out cross-validation when compared with pathological diagnoses. This model was then used to predict the classification of clinically common, histologically nonclassic samples. When tumors were classified according to pathology, the survival of patients with nonclassic glioblastoma and nonclassic anaplastic oligodendroglioma was not significantly different (P = 0.19). However, class distinctions according to the model were significantly associated with survival outcome (P = 0.05). This class prediction model was capable of classifying high-grade, nonclassic glial tumors objectively and reproducibly. Moreover, the model provided a more accurate predictor of prognosis in these nonclassic lesions than did pathological classification. These data suggest that class prediction models, based on defined molecular profiles, classify diagnostically challenging malignant gliomas in a manner that better correlates with clinical outcome than does standard pathology. louis-00379 Assay Type: Gene Expression Provider: Affymetrix Array Designs: HG_U95Av2 Organism: Homo sapiens (ncbitax) Material Types: total_RNA, synthetic_RNA, organism_part, whole_organism Disease States: Classic anaplastic oligodendroglioma, Non-classic glioblastoma, Classic glioblastoma, Non-classic anaplastic oligodendroglioma

2016-05-28 | E-GEOD-82009 | biostudies-arrayexpress

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