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accession-icon GSE101476
Global expression of sebacous gland carcinoma
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

MicroRNA and transcriptome analysis in periocular Sebaceous Gland Carcinoma.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE101474
Global expression of sebacous gland carcinoma [mRNA]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Samples were taken from patients undergoing cancer excision for pagetoid (wide) sebaceous gland carcinoma (SGC) and different individuals undergoing excision for nodular (local) SGC.

Publication Title

MicroRNA and transcriptome analysis in periocular Sebaceous Gland Carcinoma.

Sample Metadata Fields

Specimen part

View Samples
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 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
accession-icon GSE21373
Staphylococcus aureus nonribosomal peptide secondary metabolites regulate virulence
  • organism-icon Staphylococcus aureus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix S. aureus Genome Array (saureus)

Description

Staphylococcus aureus is a major human pathogen and resistant to numerous clinically used antibiotics. The first antibiotic developed for S. aureus infections was the nonribosomal petide secondary metabolite penicillin. We discovered cryptic nonribosomal peptide secondary metabolites, the aureusimines, made by S. aureus itself that are not antibiotics, but function as small molecule regulators of virulence factor expression. Using established rules and codes for nonribosomal peptide assembly we predicted these nonribosomal peptides, and used these predictions to identify them from S. aureus culture broths. Functional studies using global microarray and mouse bacteremia models established that the aureusimines control virulence factor expression and are necessary for productive infections. This is the first report of the aureusimines and has important implications for the treatment of drug resistant S. aureus. Targeting aureusimine synthesis may provide novel anti-infectives.

Publication Title

Staphylococcus aureus nonribosomal peptide secondary metabolites regulate virulence.

Sample Metadata Fields

No sample metadata fields

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 GSE22968
Phase II trial melphalan ILI plus ADH-1 for treatment of in-transit extremity melanoma
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

An evaluation of biopsies from patients with in-transit extremity melanoma who have been treated with ADH-1 followed by melphalan in the setting of isolated limb infusion

Publication Title

Prospective multicenter phase II trial of systemic ADH-1 in combination with melphalan via isolated limb infusion in patients with advanced extremity melanoma.

Sample Metadata Fields

Disease, Disease stage, Treatment

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
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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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