Hepatoblastoma (HB) is the most common pediatric liver tumor, and there are no targeted therapies available for children with HB. We have previously developed a murine model of HB which is driven by coactivation of the oncogenes YAP1 and -catenin (CTNNB1) [Tao J, Calvisi D, Ranganathan S, et al. Gastroenterology, 2014 Sep; 147(3): 690701]. We used the Sleeping Beauty transposase system combined with hydrodynamic tail vein injection to deliver plasmids containing mutant activated forms of YAP1 (YAP S127A) and -catenin (N90 -catenin) to a small number of pericentral hepatocytes. We have shown that these few transformed hepatocytes proliferate and dedifferentiate, eventually forming histologically heterogeneous tumors that resemble various subtypes of human HB (which is also highly heterogeneous), including areas of well-differentiated fetal, crowded fetal, embryonal, and blastemal HB. Our goal was to investigate how coactivation of YAP1 and -catenin drive the dedifferentiation of hepatocytes into hepatoblast-like tumor cells over time, leading to HB tumors. In order to measure changes in gene expression during tumorigenesis in our model, we used an Affymetrix microarray to analyze isolated RNA from wild type FVB mouse livers, mouse HB tumor tissue, and non-tumor liver tissue adjacent to HB tumors.
Hepatocyte-Derived Lipocalin 2 Is a Potential Serum Biomarker Reflecting Tumor Burden in Hepatoblastoma.
Age, Specimen part
View SamplesAim: To examine transcriptional changes in DLD-1 cells exposed to softer matrices (2 kPa and 55 kPa) and identify the chromosomes that are enriched with maximmally deregulated genes Methods: DLD-1 cells (otherwise growing on stiff tissue culture plastic substrates) were exposed to softer matrices for 90 minutes and to collagen coated glass coverslips (served as control) served as control) Results: RNA sequencing revealed nearly equivalent transcriptional deregulation in cells on both the polyacrylamide matrices (783 genes up and 872 genes down on 2 kPa, 649 genes up and 783 genes down on 55 kPa) when compared to cells on glass. Additionally, GO classification revealed that unique sets of transcriptionally deregulated genes (log fold=2) belonged to pathways associated with transcription regulation, chromatin organization, cell cycle and DNA damage/repair Results: We identified chromosomes 1, 2, 3, 6, 7, 10, 12, 14, 17 and 19 to be maximally enriched with the deregulated genes on softer matrices (log fold=2), while chromosomes 13, 18 and 21 showed minimal enrichment of deregulated genes. We also examined the spatial organization of chromosome 1, 18 and 19 territories in cells on softer matrices (using 3D-FISH) and observed that these chromosomes were mislocalized away from their conserved nuclear locations Conclusions: Our study reports the transcriptomic changes in DLD-1 cells upon lowering of extracellular substrate stiffnes and its impact on the spatial positioning of chromosome territories Overall design: RNA Seq profiles for DLD-1 cells on soft polyacrylamide matrices of ~2 kPa and ~55 kPa (reference - glass) were generated across 2 independent biological replicates using Illumina HiSeq platform
Emerin modulates spatial organization of chromosome territories in cells on softer matrices.
Cell line, Subject
View SamplesStudy was carried out to examine how E2 and TNFa together influence gene expression in breast cancer cells compared to either factor alone.
Positive cross-talk between estrogen receptor and NF-kappaB in breast cancer.
No sample metadata fields
View SamplesDelineating key HSC regulators is of significant interest for informing the treatment of hematologic malignancy. While HSC activity is enhanced by overexpression of SKI, the transforming growth factor-beta (TGFß) signaling antagonist corepressor, its requirement in HSC is unknown. Here we reveal a profound defect in Ski-/- HSC fitness but not specification. Transcriptionally, Ski-/- HSC exhibited striking upregulation of TGFb superfamily signaling and splicing alterations. As these are both common aspects of myelodysplastic-syndrome (MDS) pathobiology with prognostic value, we investigated the role of SKI in MDS. A SKI-correlated gene signature defines a subset of low-risk MDS patients with active TGFß signaling and deregulated RNA splicing (e.g. CSF3R). The apparent paradox of Ski-/- HSC sharing molecular aspects of MDS with elevated SKI-mRNA is resolved by miR-21 targeting of SKI in MDS. We conclude that miR-21-mediated loss of SKI contributes to early stage MDS pathogenesis by activating TGFß signaling and alternative splicing while hindering HSC fitness. Overall design: Single cell RNA seq of transplanted fetal liver-derived hematopoietic stem cells
<i>SKI</i> controls MDS-associated chronic TGF-β signaling, aberrant splicing, and stem cell fitness.
Specimen part, Cell line, Subject
View SamplesThis is a whole transcriptome sequencing data of rat testis. YY1 gene was knocked down in Experimental animals under Sertoli cell specific and puberty specific promoter. These knockdown animals were compared with the control animals.
An integrated transcriptomics-guided genome-wide promoter analysis and next-generation proteomics approach to mine factor(s) regulating cellular differentiation.
No sample metadata fields
View SamplesVAChT KDHOM mice have a 70% decrease in the vesicular acetylcholine transporter (VAChT) and this leads to a systemic decrease in ACh release and cardiac dysfunction.
An analysis of the myocardial transcriptome in a mouse model of cardiac dysfunction with decreased cholinergic neurotransmission.
Sex, Age, Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
DNMT1-interacting RNAs block gene-specific DNA methylation.
Cell line, Treatment
View SamplesWe used the microarray analysis to detail the gene expression profile from the leukemic cell line HL-60
DNMT1-interacting RNAs block gene-specific DNA methylation.
Cell line
View SamplesIdentification of the all RNA species associated with DNMT1. Using a comparative genome-scale approach we identified and correlated the RNA species physically associated with DNMT1 and proximal to the annotated genes to the methylation status of the corresponding loci and expression levels of the respective genes. This comparative approach delineated the first -DNMT1 centered- 'epitranscriptome' map, a comprehensive map cross-referencing DNMT1-interacting transcripts to (i) DNA methylation and (ii) gene expression profile. Overall design: Relationship between DNMT1-RNA interactions, DNA methylation and gene expression
DNMT1-interacting RNAs block gene-specific DNA methylation.
Cell line, Subject
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Modeling non-syndromic autism and the impact of TRPC6 disruption in human neurons.
Specimen part
View Samples