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accession-icon GSE61256
Obesity accelerates epigenetic aging of human liver
  • organism-icon Homo sapiens
  • sample-icon 133 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Obesity accelerates epigenetic aging of human liver.

Sample Metadata Fields

Sex, Age, Disease, Subject

View Samples
accession-icon GSE70494
Epigenome-wide and Transcriptome-wide Analyses Reveal Gestational Diabetes is Associated with Alterations in the Human Leukocyte Antigen Complex
  • organism-icon Homo sapiens
  • sample-icon 55 Downloadable Samples
  • Technology Badge IconIllumina HumanMethylation450 BeadChip (HumanMethylation450_15017482), Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Epigenome-wide and transcriptome-wide analyses reveal gestational diabetes is associated with alterations in the human leukocyte antigen complex.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE61260
Human liver gene expression data from subjects of varying ages
  • organism-icon Homo sapiens
  • sample-icon 133 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

N=134 human liver samples from morbidly obese patients and healthy controls were analysed by array-based mRNA expression profiling. Liver messenger RNA expression datasets from the German patients were generated on the HuGene 1.1 ST gene array The purpose of the study was to correlate these gene expression data with body mass index and with an epigenetic measure of age acceleration based on DNA methylation data.

Publication Title

Obesity accelerates epigenetic aging of human liver.

Sample Metadata Fields

Sex, Age, Disease, Subject

View Samples
accession-icon GSE50011
Transcriptome analysis of HIV-infected peripheral blood monocytes
  • organism-icon Homo sapiens
  • sample-icon 86 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Immunologic dysfunction, mediated via monocyte activity, has been implicated in the development of HIV-associated neurocognitive disorder (HAND). We hypothesized that transcriptome changes in peripheral blood monocytes relate to neurocognitive functioning in HIV+ individuals, and that such alterations could be useful as biomarkers of worsening HAND. METHODS: mRNA was isolated from the monocytes of 86 HIV+ adults and analyzed with the Illumina HT-12 v4 Expression BeadChip. Neurocognitive functioning, HAND diagnosis, and other clinical and virologic variables were determined.

Publication Title

Transcriptome analysis of HIV-infected peripheral blood monocytes: gene transcripts and networks associated with neurocognitive functioning.

Sample Metadata Fields

Age, Specimen part, Disease, Disease stage, Race

View Samples
accession-icon GSE5107
Distinct Transcription Profiles of Primary and Secondary Glioblastomas
  • organism-icon Homo sapiens
  • sample-icon 83 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Gene expression data of primary and secondary glioblastoma subgroups.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE63379
Genome-wide Expression Profiling in Irritable Bowel Syndrome
  • organism-icon Homo sapiens
  • sample-icon 65 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Differential gene expression profiling in peripheral blood mononuclear cells (PBMCs) was performed using Human Transcriptome Array 2 (HTA2)

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE70493
Epigenome-wide and Transcriptome-wide Analyses Reveal Gestational Diabetes is Associated with Alterations in the Human Leukocyte Antigen Complex [gene expression]
  • organism-icon Homo sapiens
  • sample-icon 55 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20), Illumina HumanMethylation450 BeadChip (HumanMethylation450_15017482)

Description

Gestational diabetes mellitus (GDM) affects approximately 18% of pregnancies in the United States and increases the risk of adverse health outcomes in the offspring. These adult disease propensities may be set by anatomical and molecular alterations in the placenta associated with GDM. To assess the mechanistic aspects of fetal programming, we measured genome-wide methylation (Infinium HumanMethylation450 Beadchips) and expression (Affymetrix Transcriptome Microarrays) in placental tissue of 41 GDM cases and 41 matched pregnancies without maternal complications from the Harvard Epigenetic Birth Cohort. Specific transcriptional and epigenetic perturbations associated with GDM status included alterations in the major histocompatibility complex (MHC) region, which were validated in an independent cohort, the Rhode Island Child Health Study. Gene ontology enrichment among gene regulation influenced by GDM revealed an over-representation of immune response pathways among differential expression, reflecting these coordinated changes in the MHC region. Our study represents the largest investigation of transcriptomic and methylomic differences associated with GDM, providing comprehensive insight into the molecular basis of GDM induced fetal (re)programming.

Publication Title

Epigenome-wide and transcriptome-wide analyses reveal gestational diabetes is associated with alterations in the human leukocyte antigen complex.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE40611
Gene expression data of parotid tissue from Primary Sjogrens Syndrome and controls
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Primary Sjgrens syndrome (pSS) is a chronic autoimmune disease with complex etiopathogenesis. Here we use Affymetrix U133 plus 2.0 microarray gene expression data from human parotid tissue. Parotid gland tissues were harvested from 17 pSS and 14 14 non-pSS sicca patients and 18 controls. The data were used in the following article: Nazmul-Hossain ANM, Pollard RPE, Kroese FGM, Vissink A, Kallenberg CGM, Spijkervet FKL, Bootsma H, Michie SA, Gorr SU, Peck AB, Cai C, Zhou H, Horvath S, Wong DTW (2012) Systems Analysis of Primary Sjgrens Syndrome Pathogenesis in Salivary Glands: Comparative Pathways and Molecular Events in Humans and a Mouse Model.

Publication Title

Systems analysis of primary Sjögren's syndrome pathogenesis in salivary glands identifies shared pathways in human and a mouse model.

Sample Metadata Fields

Disease

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accession-icon GSE76685
Medial HOXA gene expression is a landmark for the definitive haematopoietic fate and a prerequisite for human HSC function
  • organism-icon Homo sapiens
  • sample-icon 14 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

Medial HOXA genes demarcate haematopoietic stem cell fate during human development.

Sample Metadata Fields

Specimen part

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accession-icon GSE8112
Expression data from soybean seed compartments with embryos at the early maturation stage
  • organism-icon Glycine max
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix Soybean Genome Array (soybean)

Description

We microdissected each compartment from 8-micron paraffin sections using the Leica LMD6000 system to identify all genes active in different compartments of a soybean seed containing a early maturation-stage embryo.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

View Samples
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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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