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accession-icon GSE34779
A cross platform genome wide comparison of the relationship of promoter DNA methylation to gene expression
  • 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

A cross-platform genome-wide comparison of the relationship of promoter DNA methylation to gene expression.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE34776
Expression data from human lymphoblasts [Affymetrix]
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Transcriptional profiling of IAS subjects

Publication Title

A cross-platform genome-wide comparison of the relationship of promoter DNA methylation to gene expression.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP058181
mRNA-Seq expression and MS3 proteomics profiling of human post-mortem BA9 brain tissue for Parkinson Disease and neurologically normal individuals
  • organism-icon Homo sapiens
  • sample-icon 73 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Parkinson disease (PD) is a neurodegenerative disease characterized by the accumulation of alpha-synuclein (SNCA) and other proteins in aggregates termed “Lewy Bodies” within neurons. PD has both genetic and environmental risk factors, and while processes leading to aberrant protein aggregation are unknown, past work points to abnormal levels of SNCA and other proteins. Although several genome-wide studies have been performed for PD, these have focused on DNA sequence variants by genome-wide association studies (GWAS) and on RNA levels (microarray transcriptomics), while genome-wide proteomics analysis has been lacking. After appropriate filters, proteomics identified 3,558 unique proteins and 283 of these (7.9%) were significantly different between PD and controls (q-value<0.05). RNA-sequencing identified 17,580 protein-coding genes and 1,095 of these (6.2%) were significantly different (FDR p-value<0.05), but only 166 of the FDR significant protein-coding genes (0.94%) were present among the 3,558 proteins characterized. Of these 166, eight genes (4.8%) were significant in both studies, with the same direction of effect. Functional enrichment analysis of the proteomics results strongly supports mitochondrial-related pathways, while comparable analysis of the RNA-sequencing results implicates protein folding pathways and metallothioneins. Ten of the implicated genes or proteins co-localized to GWAS loci. Evidence implicating SNCA was stronger in proteomics than in RNA-sequencing analyses. Notably, differentially expressed protein-coding genes were more likely to not be characterized in the proteomics analysis, which lessens the ability to compare across platforms. Combining multiple genome-wide platforms offers novel insights into the pathological processes responsible for this disease by identifying pathways implicated across methodologies. Overall design: The study consists of mRNA-Seq (29 PD, 44 neurologically normal controls) and three-stage Mass Spectrometry Tandem Mass Tag Proteomics (12 PD, 12 neurologically normal controls) performed in post-mortem BA9 brain tissue. The proteomics samples are a subset of the RNA-Seq samples.

Publication Title

Integrative analyses of proteomics and RNA transcriptomics implicate mitochondrial processes, protein folding pathways and GWAS loci in Parkinson disease.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE88994
Analysis of mRNA from Gli1 expressing stromal cells of mice given SAG21k versus vehicle
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Comparison of mRNA expression from FACS isolated Gli1 expressing stromal cells from mice given SAG21k versus vehicle

Publication Title

Control of inflammation by stromal Hedgehog pathway activation restrains colitis.

Sample Metadata Fields

Sex, Specimen part, Treatment

View Samples
accession-icon GSE88990
Analysis of mRNA from mice with colitis given SAG21k versus vehicle
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Comparative analysis of mRNA from colons of mice that were given colitis though use of 5% dextran sulfate in the drinking water (Days 0-5)

Publication Title

Control of inflammation by stromal Hedgehog pathway activation restrains colitis.

Sample Metadata Fields

Sex, Specimen part, Treatment

View Samples
accession-icon GSE48350
Alzheimer's Disease Dataset
  • organism-icon Homo sapiens
  • sample-icon 246 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This dataset contains microarray data from normal controls (aged 20-99 yrs) and Alzheimer's disease cases, from 4 brain regions: hippocampus, entorhinal cortex, superior frontal cortex, post-central gyrus. Changes in expression of synaptic and immune related genes were analyzed, investigating age-related changes and AD-related changes, and region-specific patterns of change.

Publication Title

Gene expression changes in the course of normal brain aging are sexually dimorphic.

Sample Metadata Fields

Sex, Subject

View Samples
accession-icon GSE11882
Gene expression changes in the course of normal brain aging are sexually dimorphic
  • organism-icon Homo sapiens
  • sample-icon 168 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This dataset of cognitively normal controls is a subset of the GSE48350 dataset, which additionally contains microarray data from AD brains.

Publication Title

Gene expression changes in the course of normal brain aging are sexually dimorphic.

Sample Metadata Fields

Sex, Subject

View Samples
accession-icon GSE2487
Oncogene-induced senescence
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This experiment was designed to study oncogene-induced senescence (OIS). To this end we generated a series of cell lines derived from normal human diploid fibroblasts IMR90 forced to express the catalytic subunit of telomerase (hTERT). This cells were then subjected to further manipulation by orderly introducing defined genetic elements by retroviral transduction. The first cell line generated was ITV, which was obtained from the original cell line (IMR90 with hTERT) after introducing an empty vector. Subsequently, we introduced Mek:ER, which is a switchable version of the Mek kinase, a relevant downstream effector of Ras signaling during Ras-induced senescence, to generate ITM cells. We further modified this cell line by introducing SV40 small-t antigen (ST), papillomavirus oncoproteins E6 and E7 (E6/E7) or the combination of both (E6/E7 and ST). In this manner, we obtained ITMST, ITME6E7 and ITME6E7ST respectively.

Publication Title

Tumour biology: senescence in premalignant tumours.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP058787
Genome-wide maps of human OEC innate immune responses to Burkholderia
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

We report a transcriptional response in human OECs that encompasses multiple innate immune networks not previously associated with these cells. Major pathways included immune cell trafficking, and differential cytokine production Overall design: We used RNA-based sequencing technology for high-throughput profiling of innate immune responses in human OECs and the role of Burkholderia in triggering these responses

Publication Title

Burkholderia pseudomallei Capsule Exacerbates Respiratory Melioidosis but Does Not Afford Protection against Antimicrobial Signaling or Bacterial Killing in Human Olfactory Ensheathing Cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP067088
Transcription Profile of Aging and Cognition-Related Genes in the Medial Prefrontal Cortex.
  • organism-icon Rattus norvegicus
  • sample-icon 78 Downloadable Samples
  • Technology Badge IconIonTorrentProton

Description

This study focused on transcription in the medial PFC (mPFC) as a function of age and cognition. Young and aged F344 rats were characterized on tasks, attentional set shift and spatial memory, which depend on the mPFC and hippocampus, respectively. Differences in transcription associated with age and cognitive function were examined using RNA sequencing to construct transcriptomic profiles for the mPFC, white matter, and region CA1 of the hippocampus. The results indicate regional differences in vulnerability to aging associated with increased expression of immune and defense response genes and a decline in synaptic and neural activity genes. Importantly, we provide evidence for region specific transcription related to behavior. In particular, expression of transcriptional regulators and neural activity-related immediate-early genes (IEGs) are increased in the mPFC of aged animals that exhibit delayed set shift behavior; relative to age-matched animals that exhibit set shift behavior similar to younger animals. Overall design: The study contains 11 young and 20 aged rats for the mPFC and CA1 samples, which were used to investigate expression patterns associated with aging and behavior. White matter samples were used to investigate an age-related effect with 8 young and 9 aged rats.

Publication Title

Transcription Profile of Aging and Cognition-Related Genes in the Medial Prefrontal Cortex.

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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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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