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accession-icon GSE110811
Distinct Gene Expression Profiles Define Anaplastic Grade in Retinoblastoma
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Morbidity and mortality associated with retinoblastoma have decreased drastically in recent decades, in large part due to better prediction of high-risk disease and appropriate treatment stratification. High-risk histopathologic features and severe anaplasia both predict the need for more aggressive treatment; however, not all centers are able to easily assess tumor samples for degree of anaplasia. Instead, identification of genetic signatures able to distinguish among anaplastic grades and thus predict high versus low risk retinoblastoma would facilitate appropriate risk stratification in a wider patient population. A better understanding of genes dysregulated in anaplasia would also yield valuable insights into pathways underlying the development of more severe retinoblastoma. Here, we present the histopathologic and gene expression analysis of 28 retinoblastoma cases using microarray analysis. Tumors of differing anaplastic grade show clear differential gene expression, with significant dysregulation of unique genes and pathways in severe anaplasia. Photoreceptor and nucleoporin expression in particular are identified as highly dysregulated in severe anaplasia and suggest particular cellular processes contributing to the development of increased retinoblastoma severity. A limited set of highly differentially expressed genes are also able to accurately predict severe anaplasia in our dataset. Together, these data contribute to the understanding of the development of anaplasia and facilitate the identification of genetic markers of high-risk retinoblastoma.

Publication Title

Distinct Gene Expression Profiles Define Anaplastic Grade in Retinoblastoma.

Sample Metadata Fields

Specimen part

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accession-icon GSE8633
Gene expression profile of conjunctival epithelial cell lines
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Human conjunctival cell lines are useful tools for modeling ocular surface disease and evaluation of ocular drugs. Here we demonstrate that the IOBA-NHC and the ChWK conjunctival epithelial cell lines show, using an unbiased gene microarray approach, unique gene expression signatures that differ from primary conjunctival epithelial cells (PCEC) and conjunctival tissue. Globally, the expression profile obtained with the Affymetrix U133A chip (>22000 genes) from PCEC was clustered more closely to conjunctival tissue than either of the 2 cell lines. However, when restricted to Gene Ontology sub-categories: cellular defense, viral replication/cycling, antigen presentation, anti-oxidant pathways and ubiquitin ligase complex, the cell lines correlated reasonably well to PCEC (r > 0.70). In the category response to inflammation, correlation of cell lines to PCEC was poor (r = -0.012 and 0.041 for IOBA-NHC and ChWK respectively). In general, the expression profile in IOBA-NHC cells was better correlated to PCEC than the ChWK cells. This was statistically significant (p<0.05) when one considers all the genes on the chip, or for proteins in the extracellular region, response to wounding, stress, lipid, protein and organic acid metabolism, development and differentiation. Our results are useful for the choice of conjunctival cell lines, if necessary, in future experiments, to increase validity of extrapolation to clinical scenarios.

Publication Title

Comparison of gene expression profiles of conjunctival cell lines with primary cultured conjunctival epithelial cells and human conjunctival tissue.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP077606
Lens Epithelial Cells treated by miR-184 Raw sequence reads
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500, Illumina HiSeq 4000

Description

Transcriptome-wide investigation of mRNA and circular RNA in miR-184 and mutant miR-184(r.57c>u) treatment human lens epithelial cells

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP077681
Human Lens Epithelial Cells treated by NC Raw sequence reads
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000, Illumina HiSeq 2500

Description

Human Lens Epithelial Cells treated by NC

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon GSE6819
Identification of genes that are linked with optineurin expression
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This study aimed to identify genes that are linked with optineurin expression using a combined siRNA-microarray approach

Publication Title

Identification of genes that are linked with optineurin expression using a combined RNAi--microarray approach.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP061670
Homo sapiens Raw sequence reads
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

We differentiated hESC into retinal pigment epithelial cells using two methods (three-dimensional culture and spontaneous differentiation methods). We investigated which kind of RPE cells derived from hESC showed similar gene expression patterns to those of human fetal native RPE.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE74817
Time Course of Adults Vaccinated with Influenza TIV Vaccine 2009-2012
  • organism-icon Homo sapiens
  • sample-icon 615 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Systems Analysis of Immunity to Influenza Vaccination across Multiple Years and in Diverse Populations Reveals Shared Molecular Signatures.

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon GSE89292
Systems analysis of protective immune responses to RTS,S malaria vaccination in humans
  • organism-icon Homo sapiens
  • sample-icon 578 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We applied a systems biology approach to study immune responses in subjects receiving 3 consecutive immunizations with RTS,S/AS01 (RRR), or in those receiving 2 immunizations of RTS,S/AS01, following a primary immunization with adenoviral Ad35 (ARR) vector expressing circumsporozoite protein.

Publication Title

Systems analysis of protective immune responses to RTS,S malaria vaccination in humans.

Sample Metadata Fields

Specimen part, Disease stage, Subject, Time

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accession-icon GSE79396
Integrated transcriptomics and metabolomics profiling delineates early molecular correlates of immunity to herpes zoster vaccination in humans
  • organism-icon Homo sapiens
  • sample-icon 287 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

The goal of this study is to characterize the human immune responses to the live attenuated Herpes zoster vaccine Zostavax, to understand the molecular and cellular mechanisms that lead to antibody production and T cell induction, and to understand the difference between young and elderly healthy adults. The overall data collection included antigen specific assays, flow cytometric profiling of innate and adaptive cell populations, measurement of serum cytokines, and transcriptomic and metabolomics signatures. Zostavax induced robust antigen-specific antibody responses, and significant T cell responses. A number of gene pathways were upregulated after vaccination. Using our previously developed blood transcription modules, we also identified transcriptomic correlates to antibody response. Furthermore, this study revealed strong association between PBMC transcriptomics and plasma metabolomics. Integrative analysis of orthogonal datasets from metabolomics, transcriptomic and immune profiling facilitated a temporal reconstruction of Zostavax induced biological networks culminating in antibody responses , and the delineation of novel molecular correlates of vaccine immunity.

Publication Title

Metabolic Phenotypes of Response to Vaccination in Humans.

Sample Metadata Fields

Sex, Age, Specimen part, Race, Subject

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accession-icon GSE74813
Time Course of Adults Vaccinated with Influenza TIV Vaccine during 2010/11 Flu Season (HIPC cohort)
  • organism-icon Homo sapiens
  • sample-icon 284 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Systems approaches have been used to describe molecular signatures driving immunity to influenza vaccination in humans.

Publication Title

Systems Analysis of Immunity to Influenza Vaccination across Multiple Years and in Diverse Populations Reveals Shared Molecular Signatures.

Sample Metadata Fields

Specimen part, Subject, Time

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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