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accession-icon GSE9006
Gene expression in PBMCs from children with diabetes
  • organism-icon Homo sapiens
  • sample-icon 224 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Objective: We hypothesized that type 1 diabetes (T1D) is accompanied by changes in gene expression in peripheral blood mononuclear cells (PBMCs) due to dysregulation of adaptive and innate immunity, counterregulatory responses to immune dysregulation, insulin deficiency and hyperglycemia. Research Design and Methods: Microarray analysis was performed on PBMCs from 43 patients with newly diagnosed T1D, 12 patients with newly diagnosed type 2 diabetes (T2D) and 24 healthy controls. One and four month follow-up samples were obtained from 20 of the T1D patients.

Publication Title

Gene expression in peripheral blood mononuclear cells from children with diabetes.

Sample Metadata Fields

Sex, Age, Treatment, Race

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accession-icon GSE11907
A Modular Analysis Framework for Blood Genomics Studies: Application to Systemic Lupus Erythematosus
  • organism-icon Homo sapiens
  • sample-icon 340 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The analysis of patient blood transcriptional profiles offers a means to investigate the immunological mechanisms relevant to human diseases on a genome-wide scale. In addition, such studies provide a basis for the discovery of clinically relevant biomarker signatures. We designed a strategy for microarray analysis that is based on the identification of transcriptional modules formed by genes coordinately expressed in multiple disease data sets. Mapping changes in gene expression at the module level generated disease-specific transcriptional fingerprints that provide a stable framework for the visualization and functional interpretation of microarray data. These transcriptional modules were used as a basis for the selection of biomarkers and the development of a multivariate transcriptional indicator of disease progression in patients with systemic lupus erythematosus. Thus, this work describes the implementation and application of a methodology designed to support systems-scale analysis of the human immune system in translational research settings.

Publication Title

A modular analysis framework for blood genomics studies: application to systemic lupus erythematosus.

Sample Metadata Fields

Sex, Age, Race

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accession-icon GSE11908
Construction of a modular analysis framework for blood Genomics Studies
  • organism-icon Homo sapiens
  • sample-icon 271 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

We designed a strategy for microarray analysis that is based on the identification of transcriptional modules formed by genes coordinately expressed in multiple disease data sets. Mapping changes in gene expression at the module level generated disease-specific transcriptional fingerprints that provide a stable framework for the visualization and functional interpretation of microarray data.

Publication Title

A modular analysis framework for blood genomics studies: application to systemic lupus erythematosus.

Sample Metadata Fields

Sex, Age, Race

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accession-icon GSE11909
A modular analysis framework for the discovery of biomarkers of Systemic Lupus Erythematosus
  • organism-icon Homo sapiens
  • sample-icon 154 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Transcriptional modules were used as a basis for the selection of biomarkers and the development of a multivariate transcriptional indicator of disease progression in patients with systemic lupus erythematosus.

Publication Title

A modular analysis framework for blood genomics studies: application to systemic lupus erythematosus.

Sample Metadata Fields

Sex, Age, Race

View Samples
accession-icon GSE9719
Dynamics of mRNA abundance and translation in response to short and prolonged hypoxia and reoxygenation
  • organism-icon Arabidopsis thaliana
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Gene expression analysis of 7d-old Arabidopsis seedlings exposed to short term (2 h) hypoxia, long term (9 h) hypoxia, and 1 h reoxygenation after long term (9 h) hypoxia to evaluate the regulation of gene expression at the level of translation.

Publication Title

Selective mRNA translation coordinates energetic and metabolic adjustments to cellular oxygen deprivation and reoxygenation in Arabidopsis thaliana.

Sample Metadata Fields

Age

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accession-icon E-MEXP-1195
Transcription profiling of rat to investigate effects of hyperglycaemi and genetic background on gene expression
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a)

Description

Effects of hyperglycaemia and genetic background differences on renal gene expression

Publication Title

Comparative analysis of methods for gene transcription profiling data derived from different microarray technologies in rat and mouse models of diabetes.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Subject

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accession-icon GSE73535
Histone Deacetylase 3
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Histone Deacetylase 3 Is Required for Efficient T Cell Development.

Sample Metadata Fields

Specimen part

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accession-icon SRP063574
Histone Deacetylase 3 is required for efficient T cell development
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Hdac3 is an important target of HDAC inhibitors used in the treatment of cutaneous T cell lymphoma. In order to gain an understanding of Hdac3 function in T cells,we deleted Hdac3 from early mouse thymocytes using LCK-Cre. Hdac3 deletion resulted in a loss of single positive thymocytes due to a defect in positive selection at the double positive (DP) stage of thymocyte development. To better characterize this defect, we sorted the DP1 and DP2 populations to for gene expression profiling. Overall design: Total RNA was extracted from DP1 (GFP+CD4+CD8+CD5loTCRblo) or DP2 (GFP+CD4+CD8+CD5hiTCRbint) thymocytes isolated by FACS from Hdac3+/+ or Hdac3F/F LCK-Cre+ animals. Libraries were constructed from rRNA-depleted total RNA pools to identify altered gene expression in DP populations following Hdac3 deletion.

Publication Title

Histone Deacetylase 3 Is Required for Efficient T Cell Development.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE21419
Laser Capture Microdissection of Hyperlipidemic Mouse Aorta Atherosclerosis
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302), Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Atherosclerosis is a transmural chronic inflammatory condition of small and large arteries that is associated with adaptive immune responses at all disease stages. However, impacts of adaptive immune reactions on clinically apparent atherosclerosis such as intima lesion (plaque) rupture, thrombosis, myocardial infarction, and aneurysm largely remain to be identified. It is increasingly recognized that leukocyte infiltrates in plaque, media, and adventitia are distinct but their specific roles have not been defined. To map these infiltrates, we employed laser capture microdissection (LCM) to isolate the three arterial wall laminae using apoE-/- mouse aorta as a model. RNA from LCM-separated tissues was extracted and large scale whole genome expression microarrays were prepared. We observed that the quality of the resulting gene expression maps was compromised by tissue RNA carried over from adjacent laminae during LCM. To account for these flaws, we established quality controls and algorithms to improve the predictive power of LCM-derived microarray data. Our approach creates robust transcriptome atlases of normal and atherosclerotic aorta. Assessing LCM transcriptomes for immunity-related mRNAs indicated markedly distinctive gene expression patterns in the three laminae of the atherosclerotic aorta. These mouse mRNA expression data banks can now be mined to address a wide range of questions in cardiovascular biology.

Publication Title

The lamina adventitia is the major site of immune cell accumulation in standard chow-fed apolipoprotein E-deficient mice.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE54316
Expression data of human fetal liver hematopoietic stem and progenitors cells
  • organism-icon Homo sapiens
  • sample-icon 8 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

GPI-80 defines self-renewal ability in hematopoietic stem cells during human development.

Sample Metadata Fields

Specimen part

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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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Developed by the Childhood Cancer Data Lab

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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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