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accession-icon GSE30159
Gene expression analysis of bone biospies from nine patients with endogenous Cushings syndrome before and after treatment
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Glucose intolerance and diabetes mellitus are classical parts of endogenous Cushings syndrome (CS), and insulin resistance is a feature of cortisol excess. CS patients display characteristics including hyperglycemia, abdominal obesity, reduced high-density lipoprotein cholesterol levels and elevated triglycerides, and arterial hypertension. Hypercortisolism is a well known cause of bone loss, and patients with CS frequently display low bone mass and fragility fractures. Cortisol excess inhibits bone formation, increases bone resorption, impairs calcium absorption from the gut, and affects the secretion of several hormones, cytokines, and growth factors with potential influence on bone metabolism. Bone biopsies from nine CS patients, before and mean 3 months after surgery, were screened for expressional candidate genes using Affymetrix human Gene Plus 2.0 Arrays. Analyses were performed to identify genes in glucocorticoid-induced osteoporosis and genes in glucose metabolism and energy homeostasis.

Publication Title

The glucocorticoid-induced leucine zipper gene (GILZ) expression decreases after successful treatment of patients with endogenous Cushing's syndrome and may play a role in glucocorticoid-induced osteoporosis.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE27131
Peripheral blood cells expression data form 7 patients with severe pdm(H1N1) influensa and 7 gender and age matched healthy controls
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Using PAXgene tubes, peripheral blood samples were collected from seven patients >18 years with documented pdm(H1N1) influenza, bilateral chest infiltrates, and in need of ventilation support. Significant co-morbidity was exclusion criterion. Expression profiles were compared with 7 age matched controls. Using a false discovery rate < 5% and an absolute fold change > 2, 370 genes were differentially expressed in case and controls.

Publication Title

Excessive innate immune response and mutant D222G/N in severe A (H1N1) pandemic influenza.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE72625
Gastrointestinal symptoms and pathology in patients with Common variable immunodeficiency
  • organism-icon Homo sapiens
  • sample-icon 47 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Based on the findings of increased IEL in duodenal biopsies in CVID, an overlap with celiac disease has been suggested. In the present study, increased IEL, in particular in the pars descendens of the duodenum, was one of the most frequent histopathological finding. We therefore examined the gene expression profile in pars descendens of duodenum in CVID patients with increased IEL (n=12, IEL mean 34 [range 22-56] IEL/100 EC), CVID with normal levels of IEL (n=8), celiac disease (n=10, Marsh grade 3a or above) and healthy controls (n=17) by gene expression microarray

Publication Title

A Cross-Sectional Study of the Prevalence of Gastrointestinal Symptoms and Pathology in Patients With Common Variable Immunodeficiency.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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