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GSE37748
Homo sapiens
12 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Background: Zidovudine remains the cornerstone drug for prophylaxis to prevent mother-to-child HIV-1 transmission. A mild but long-lasting hematological multilineage defect is observed in children exposed in utero.
Publication Title
Genotoxic signature in cord blood cells of newborns exposed in utero to a Zidovudine-based antiretroviral combination.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Caenorhabditis elegans
- 9 Downloadable Samples
- Affymetrix C. elegans Genome Array (celegans)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Function, targets, and evolution of Caenorhabditis elegans piRNAs.
Sample Metadata Fields
Specimen part
View Samples- Rattus norvegicus
- 9 Downloadable Samples
- Affymetrix Rat Genome 230 2.0 Array (rat2302)
Description
Lung alveolarization is a complex process that involves interactions between several cell types and leads to considerable increase in gas-exchange surface area. The step designated secondary septation includes elastogenesis from interstitial fibroblasts.
Publication Title
Gene expression profiling in lung fibroblasts reveals new players in alveolarization.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 21 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
Molecular mechanisms that are responsible for the development of human skin epithelial cells are not completely understood so far. As a consequence, the efficiency to establish a pure skin epithelial cell population from human induced pluripotent stem cells (hiPSC) remains poor. Using an approach including RNA interference and high-throughput imaging of early epithelial cells, we could identify candidate kinases which are involved in skin epithelial differentiation. Among them, we found HIPK4 to be an important inhibitor of this process. Indeed, its silencing increased the amount of generated skin epithelial precursors, increased the amount of generated keratinocytes and improved growth and differentiation of organotypic cultures, allowing for the formation of a denser basal layer and stratification with the expression of several keratins. Our data bring substantial input in the regulation of human skin epithelial differentiation and for improving differentiation protocols from pluripotent stem cells.
Publication Title
An RNAi Screen Reveals an Essential Role for HIPK4 in Human Skin Epithelial Differentiation from iPSCs.
Sample Metadata Fields
Specimen part, Time
View Samples- Homo sapiens
- 35 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The aim of the study was to elucidate the cellular origin of ameloblastoma and keratocystic odontogenic tumour, neoplasms believed to arise from dental epithelial cells, by carrying out a genome-wide expression analysis.
Publication Title
Early dental epithelial transcription factors distinguish ameloblastoma from keratocystic odontogenic tumor.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 26 Downloadable Samples
NextSeq 500
Description
Three different progenitor cell subsets in subcutaneous and visceral adipose tissues derived from 5 obese patients were subjected to AmpliSeq transcriptome profiling. Transcriptomic profiles were analyzed to compare progenitor cell subsets and the impact of subcutaneous and visceral adipose tissue location. Overall design: Transcriptomic profiling of 3 different progenitor cell types in subcutaneous and visceral adipose tissues derived from 5 obese patients (3X2X5=30 samples).
Publication Title
Lobular architecture of human adipose tissue defines the niche and fate of progenitor cells.
Sample Metadata Fields
Subject
View Samples- Homo sapiens
- 16 Downloadable Samples
- Affymetrix Human Gene 2.0 ST Array (hugene20st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Chronic mucocutaneous candidiasis and connective tissue disorder in humans with impaired JNK1-dependent responses to IL-17A/F and TGF-β.
Sample Metadata Fields
Specimen part, Disease, Disease stage, Treatment, Time
View Samples- Homo sapiens
- 163 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
Gene expression profiling based classification of DLBCL patients versus healthy donors provides insights on transcriptional regulation processes.
Publication Title
T-cell defect in diffuse large B-cell lymphomas involves expansion of myeloid-derived suppressor cells.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Homo sapiens
- 73 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
Previous reports suggest that outcome of cHL patients may be related to the tumor microenvironment, which in turn may be influenced by EBV infection. Gene profiling was used for further characterize the cHL microenvironment. A training set of 73 cHL tissue samples was profiled using Affymetrix DNA microarrays. Supervised analysis provided a gene signature separating EBV+ from EBV- cHL tissues, including genes characteristic of Th1 and antiviral response. Samples from patients with favourable outcome significantly overexpressed genes involved in the function of B-cells and plasmacytoid dendritic cells (pDCs), like BCL11A. A validation set of 146 cHL samples was analyzed using immunohistochemistry (IHC).
Publication Title
Molecular profiling of classical Hodgkin lymphoma tissues uncovers variations in the tumor microenvironment and correlations with EBV infection and outcome.
Sample Metadata Fields
No sample metadata fields
View Samples- Rattus norvegicus
- 48 Downloadable Samples
- Affymetrix Rat Expression 230A Array (rae230a)
Description
The size and scope of microarray experiments continue to increase. However, datasets generated on different platforms or at different centres contain biases. Improved techniques are needed to remove platform- and batch-specific biases. One experimental control is the replicate hybridization of a subset of samples at each site or on each platform to learn the relationship between the two platforms. To date, no algorithm exists to specifically use this type of control. LTR is a linear-modelling-based algorithm that learns the relationship between different microarray batches from replicate hybridizations. LTR was tested on a new benchmark dataset of 20 samples hybridized to different Affymetrix microarray platforms. Before LTR, the two platforms were significantly different; application of LTR removed this bias. LTR was tested with six separate data pre-processing algorithms, and its effectiveness was independent of the pre-processing algorithm. Sample-size experiments indicate that just three replicate hybridizations can significantly reduce bias. An R library implementing LTR is available.
Publication Title
LTR: Linear Cross-Platform Integration of Microarray Data.
Sample Metadata Fields
Sex
View Samples