This SuperSeries is composed of the SubSeries listed below.
Function, targets, and evolution of Caenorhabditis elegans piRNAs.
Specimen part
View SamplesLung 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.
Gene expression profiling in lung fibroblasts reveals new players in alveolarization.
No sample metadata fields
View SamplesHeterozygosity for human STAT3 dominant-negative (DN) mutations underlies an autosomal dominant form of hyper-IgE syndrome (HIES). We describe patients with an autosomal recessive form of HIES due to loss-of-function mutations of a previously uncharacterized gene, ZNF341. ZNF341 is a transcription factor that resides in the nucleus, where it binds a specific DNA motif present in various genes, including, most notably the STAT3 promoter. The patients cells have low basal levels of STAT3 mRNA and protein. The auto-induction of STAT3 production, activation, and function by STAT3-activating cytokines is particularly strongly impaired. Like patients with STAT3 DN mutations, ZNF341-deficient patients lack Th17 cells, have an excess of Th2 cells, and low memory B cells, due to the tight dependence of STAT3 activity on ZNF341 in lymphocytes. Their milder extra-hematopoietic manifestations and stronger inflammatory responses reflect the lower ZNF341-dependence of STAT3 activity in other cell types. Human ZNF341 is essential for the STAT3 transcription-dependent auto-induction and sustained activity of STAT3.
A recessive form of hyper-IgE syndrome by disruption of ZNF341-dependent STAT3 transcription and activity.
Specimen part, Disease stage
View SamplesMolecular 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.
An RNAi Screen Reveals an Essential Role for HIPK4 in Human Skin Epithelial Differentiation from iPSCs.
Specimen part, Time
View SamplesThe 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.
Early dental epithelial transcription factors distinguish ameloblastoma from keratocystic odontogenic tumor.
Specimen part
View SamplesThree 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).
Lobular architecture of human adipose tissue defines the niche and fate of progenitor cells.
Subject
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Chronic mucocutaneous candidiasis and connective tissue disorder in humans with impaired JNK1-dependent responses to IL-17A/F and TGF-β.
Specimen part, Disease, Disease stage, Treatment, Time
View SamplesGene expression profiling based classification of DLBCL patients versus healthy donors provides insights on transcriptional regulation processes.
T-cell defect in diffuse large B-cell lymphomas involves expansion of myeloid-derived suppressor cells.
Sex, Age, Specimen part
View SamplesPrevious 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).
Molecular profiling of classical Hodgkin lymphoma tissues uncovers variations in the tumor microenvironment and correlations with EBV infection and outcome.
No sample metadata fields
View SamplesThe 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.
LTR: Linear Cross-Platform Integration of Microarray Data.
Sex
View Samples