refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 126 results
Sort by

Filters

Technology

Platform

accession-icon GSE47353
Global Analyses of Human Immune Variation Reveal Baseline Predictors of Postvaccination Responses
  • organism-icon Homo sapiens
  • sample-icon 288 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

A major goal of systems biology is the development of models that accurately predict responses to perturbation. Constructing such models requires the collection of dense measurements of system states, yet transformation of data into predictive constructs remains a challenge. To begin to model human immunity, we analyzed immune parameters in depth both at baseline and in response to influenza vaccination.

Publication Title

Global analyses of human immune variation reveal baseline predictors of postvaccination responses.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

View Samples
accession-icon SRP034547
Human CLP1 mutations alter tRNA biogenesis affecting both peripheral and central nervous system function
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

We elucidate a neurological syndrome affecting both the PNS and CNS defined by CLP1 mutations that impair tRNA splicing Overall design: Identification and biochemical characterization of mutant CLP1 in human patients

Publication Title

Human CLP1 mutations alter tRNA biogenesis, affecting both peripheral and central nervous system function.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9196
Comparison of ES, EB, and Blast cells to breast epithelial, leuckocytes, endothelial and stromal cells
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

GeneChip analysis of human embryonic stem cell differentiation into hemangioblasts: an in silico dissection of mixed phenotypes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9086
Reanalysis of GSE8884 Samples with Breast Epithelial Samples from GSE3744.
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To understand the differentiation process of embryonic stem cells into hemangioblasts, gene expression profiles of ES, EB and Blast cells (BL) were analyzed.

Publication Title

GeneChip analysis of human embryonic stem cell differentiation into hemangioblasts: an in silico dissection of mixed phenotypes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9091
Reanalysis of GSE8884 Samples with Leukocyte Samples from GSE3284.
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To understand the differentiation process of embryonic stem cells into hemangioblasts, gene expression profiles of ES, EB and Blast cells (BL) were analyzed.

Publication Title

GeneChip analysis of human embryonic stem cell differentiation into hemangioblasts: an in silico dissection of mixed phenotypes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9090
Reanalysis of GSE8884 Samples with Stromal Samples from GSE3998.
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To understand the differentiation process of embryonic stem cells into hemangioblasts, gene expression profiles of ES, EB and Blast cells (BL) were analyzed.

Publication Title

GeneChip analysis of human embryonic stem cell differentiation into hemangioblasts: an in silico dissection of mixed phenotypes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9089
Reanalysis of GSE8884 Samples with Endothelial Samples from GSE3998.
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To understand the differentiation process of embryonic stem cells into hemangioblasts, gene expression profiles of ES, EB and Blast cells (BL) were analyzed.

Publication Title

GeneChip analysis of human embryonic stem cell differentiation into hemangioblasts: an in silico dissection of mixed phenotypes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE8884
Expression data from human embryonic stem cells, early stage embryoid bodies, and hES-derived blast cells.
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To understand the differentiation process of embryonic stem cells into hemangioblasts, gene expression profiles of ES, EB and Blast cells (BL) were analyzed.

Publication Title

GeneChip analysis of human embryonic stem cell differentiation into hemangioblasts: an in silico dissection of mixed phenotypes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE114469
Expression data from NPY Y1R-deficient osteoblastic cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

NPY signalling via osteoblastic Y1 receptors has been shown to control bone mass but also contributes significantly to the control of whole-body insulin secretion and glucose homeostasis in mice through the release of novel factor(s) which are different from the previously implicated osteocalcin.

Publication Title

Osteoglycin, a novel coordinator of bone and glucose homeostasis.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE17739
Circadian gene profiling in the distal nephron and collecting ducts
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Renal excretion of water and major electrolytes exhibits a significant circadian rhythm. This functional periodicity is believed to result, at least in part, from circadian changes in secretion/reabsorption capacities of the distal nephron and collecting ducts. Here, we studied the molecular mechanisms underlying circadian rhythms in the distal nephron segments, i.e. distal convoluted tubule (DCT) and connecting tubule (CNT) and, the cortical collecting duct (CCD). Temporal expression analysis performed on microdissected mouse DCT/CNT or CCD revealed a marked circadian rhythmicity in the expression of a large number of genes crucially involved in various homeostatic functions of the kidney. This analysis also revealed that both DCT/CNT and CCD possess an intrinsic circadian timing system characterized by robust oscillations in the expression of circadian core clock genes (clock, bma11, npas2, per, cry, nr1d1) and clock-controlled Par bZip transcriptional factors dbp, hlf and tef. The clock knockout mice or mice devoid of dbp/hlf/tef (triple knockout) exhibit significant changes in renal expression of several key regulators of water or sodium balance (vasopressin V2 receptor, aquaporin-2, aquaporin-4, alphaENaC). Functionally, the loss of clock leads to a complex phenotype characterized by partial diabetes insipidus, dysregulation of sodium excretion rhythms and a significant decrease in blood pressure. Collectively, this study uncovers a major role of molecular clock in renal function.

Publication Title

Molecular clock is involved in predictive circadian adjustment of renal function.

Sample Metadata Fields

Sex, Specimen part

View Samples
...

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact