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GSE8633
Homo sapiens
16 Downloadable Samples
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
View Samples- Mus musculus
- 30 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Although there have been studies conducted on cornea and retina growth and development, postnatal gene expression studies on sclera growth during postnatal growth has not been well characterised. Given that the mouse genome has 85% homology to the human genome and has been completely sequenced, mouse model for the study of ocular growth has advantages over other animal models. Thus, we aimed to study the biology and genetics behind sclera growth during post-natal development in Balb/cJ mice as a means to understand genetic changes that cause scleral growth and development during post-natal eye development
Publication Title
No associated publication
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Gene Expression profiling of pterygium. Analysis of conjunctiva and pterygium samples.
Publication Title
No associated publication
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 12 Downloadable Samples
- 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
View Samples- Homo sapiens
- 4 Downloadable Samples
Illumina 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
View Samples- Homo sapiens
- 4 Downloadable Samples
- Illumina 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
View Samples- Homo sapiens
- 425 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The purpose of this study is to obtain comprehensive gene expression profiles in breast cancer. Mammary gland cells were specifically isolated from 433 clinical tissue samples by laser capture microdissection (LCM). Total RNAs were extracted from LCM captured samples. We investigated gene expression profiles in 417 patients with breast cancer and 16 non-tumor tissues as a normal control using an Affymetrix GeneChip.
Publication Title
Epithelial-mesenchymal transition spectrum quantification and its efficacy in deciphering survival and drug responses of cancer patients.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 418 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
ALL is the most common form of childhood cancer with >80% cured with contemporary treatment protocols. Accurate risk stratification in childhood ALL is essential to avoid under- and over-treatment. Currently, we use presenting clinical, biological features, and minimal residual disease (MRD) quantitation to risk stratify patients. Although whole genome gene expression profiling (GEP) can accurately classify patients with ALL into various WHO 2008 defined subgroups, its value in predicting relapse remained to be defined. We hypothesized that global time-series GEPs of bone marrow (BM) samples at diagnosis and specific points during initial remission-induction therapy can measure the success of cytoreduction and be used for relapse prediction.
Publication Title
Effective Response Metric: a novel tool to predict relapse in childhood acute lymphoblastic leukaemia using time-series gene expression profiling.
Sample Metadata Fields
Specimen part, Disease, Subject, Time
View Samples- Homo sapiens
- 170 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Chemo-resistance to platinum such as cisplatin is critical in the treatment of ovarian cancer. Recent evidences have linked epithelial-mesenchymal transition (EMT) with the drug resistance as a contributing mechanism. The current study explored the connection between cellular responses to cisplatin with EMT in ovarian cancer.
Publication Title
Epithelial-mesenchymal status renders differential responses to cisplatin in ovarian cancer.
Sample Metadata Fields
Specimen part, Cell line, Treatment
View Samples- Homo sapiens
- 99 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
A collection of 100 ovarian cancer sample gene expression data from Singapore.
Publication Title
CSIOVDB: a microarray gene expression database of epithelial ovarian cancer subtype.
Sample Metadata Fields
Specimen part, Subject
View Samples