This dataset includes both whole transcriptome (WT) and mRNA-seq data for interferon-treated mouse samples. This is part of a larger study (GSE52405), where these interferon datasets were used as validation. Overall design: 6-week-old C57BL/6J mice were treated with 10,000 U of recombinant interferon (Universal Type I IFN, Recombinant Human IFN-alpha A/D [BglII], R&D Systems) dissolved in endotoxin-free phosphate-buffered saline (EF-PBS), or with EF-PBS alone. For this study, the mice at 12 hours post-treatment were used.
Annotation of long non-coding RNAs expressed in collaborative cross founder mice in response to respiratory virus infection reveals a new class of interferon-stimulated transcripts.
No sample metadata fields
View SamplesThe receptor-interacting protein-associated ICH-1/CED-3 homologous protein with a death domain (Raidd) functions as a dual adaptor protein due to its bipartite nature, and is therefore thought to be a constituent of different multiprotein complexes including the PIDDosome, where it connects the cell death-related protease, Caspase-2, with the p53-induced protein with a death domain 1 (Pidd1). As such, Raidd has been implicated in DNA-damage-induced apoptosis as well as in tumor suppression, the latter based on its role as a direct activator of Caspase-2, known to delay lymphomagenesis caused by overexpression of c-Myc or loss of ATM kinase. As loss of Caspase-2 leads to an acceleration of tumor onset in the E-Myc mouse model we set out to interrogate the role of Raidd in this process in more detail. Our data obtained analyzing E-Myc/Raidd-/- mice indicate that Raidd is unable to protect from c-MYC-driven lymphomagenesis. Similarly, we failed to observe an effect of Raidd-deficiency on thymic lymphomagenesis induced by y-irradiation or fibrosarcoma development driven by 3-methylcholanthrene. The role of Caspase-2 as a tumor suppressor can therefore be uncoupled from its ability to interact and auto-activate upon binding to Raidd. Further, we provide supportive evidence that the tumor suppressive role of Caspase-2 is related to maintaining genomic integrity and allowing efficient p53-mediated signaling. Overall, our findings suggest that Raidd, although described to be the key-adapter allowing activation of the tumor suppressor Caspase-2, fails to suppress tumorigenesis in vivo.
The tumor-modulatory effects of Caspase-2 and Pidd1 do not require the scaffold protein Raidd.
No sample metadata fields
View SamplesBreast cancer is the most common cancer in women worldwide and metastatic dissemination is the principal factor related to death by this disease. Breast cancer stem cells, are thought to be responsible for metastasis and chemoresistance.. In this study, based on whole transcriptome analysis from putative breast CSCs and reverse-engineering of transcription control networks, we were able to identify two networks associated to this phenotype.
Transcription Factor Networks derived from Breast Cancer Stem Cells control the immune response in the Basal subtype.
Age, Disease stage
View SamplesProlonged cold exposure stimulates the recruitment of beige adipocytes within white adipose tissue. Beige adipocytes depend on mitochondrial oxidative phosphorylation to drive thermogenesis. The transcriptional coregulator TLE3 inhibits mitochondrial and metabolic gene expression in beige adipocytes. Overall design: mRNA profiles of iWAT immortalized preadipocytes, differentiated in culture, and knocking out TLE3 after differentiation, were generated by deep sequencing, in triplicate, using Illumina HiSeq 2500.
Loss of TLE3 promotes the mitochondrial program in beige adipocytes and improves glucose metabolism.
Specimen part, Treatment, Subject
View SamplesThe molecular mechanisms of Trypanosoma cruzi induced cardiac fibrosis remains to be elucidated. Primary human cardiomyoctes (PHCM) exposed to invasive T. cruzi trypomastigotes were used for transcriptome profiling and downstream bioinformatic analysis to determine fibrotic-associated genes regulated early during infection process (0 to 120 minutes). The identification of early molecular host responses to T. cruzi infection can be exploited to delineate important molecular signatures that can be used for the classification of Chagasic patients at risk of developing heart disease. Our results show distinct gene network architecture with multiple gene networks modulated by the parasite with an incline towards progression to a fibrogenic phenotype. Early during infection, T. cruzi significantly upregulated transcription factors including activator protein 1 (AP1) transcription factor network components (including FOSB, FOS and JUNB), early growth response proteins 1 and 3 (EGR1, EGR3), and cytokines/chemokines (IL5, IL6, IL13, CCL11), which have all been implicated in the onset of fibrosis. The changes in our selected genes of interest did not all start at the same time point. The transcriptome microarray data, validated by quantitative Real-Time PCR, was also confirmed by immunoblotting and customized Enzyme Linked Immunosorbent Assays (ELISA) array showing significant increases in the protein expression levels of fibrogenic EGR1, SNAI1 and IL 6. Furthermore, phosphorylated SMAD2/3 which induces a fibrogenic phenotype is also upregulated accompanied by an increased nuclear translocation of JunB. Pathway analysis of the validated genes and phospho-proteins regulated by the parasite provides the very early fibrotic interactome operating when T. cruzi comes in contact with PHCM. The interactome architecture shows that the parasite induces both TGF- dependent and independent fibrotic pathways, providing an early molecular foundation for Chagasic cardiomyopathy. Examining the very early molecular events of T. cruzi cellular infection may provide disease biomarkers which will aid clinicians in patient assessment and identification of patient subpopulation at risk of developing Chagasic cardiomyopathy.
Early Regulation of Profibrotic Genes in Primary Human Cardiac Myocytes by Trypanosoma cruzi.
Specimen part
View SamplesCD34+ cord blood hematopoietic progenitors were expanded in vitro as previously described (Balan et al., J Immunol, 2014) and then differentiated on a mixed feeder layer of OP9 cells expressing or not the Notch ligand Delta-like 1, with FLT3-L, TPO and IL-7. At the end of the cultures, single live Lin- HLA-DR+ cells were index sorted in 96-well plates containing lysis buffer, and snap frozen. Four putative cell types were sorted according to their expression patterns of key combinations of cell surface markers: putative pDCs, putative cDC1s, putative pre-cDC2s and putative cDC2s. Single cell RNA-sequencing libraries were subsequently generated for 90 single cells and 6 control wells using an adaptation of Smart-Seq2 (Villani et al., Science, 2017). Cells were sequenced at a depth of 1-3M reads/cell. Overall design: A total of 90 single cells and 6 controls from one culture were processed using a protocol adapted from Smart-Seq2 protocol (Villani et al., Science, 2017), which allows for the generation of full-length single cell cDNA, and sequencing libraries were generated using Illumina Nextera XT DNA library preparation kit. A few samples (10) were profiled but excluded from the processed data since they were either bulk (5) or blank (1) control samples or excluded due to QC (4). Therefore, there are 86 samples included here.
Large-Scale Human Dendritic Cell Differentiation Revealing Notch-Dependent Lineage Bifurcation and Heterogeneity.
Specimen part, Subject
View SamplesFor both PBMC and cells from the in vitro cultures, RNA purification and library generation was performed using the Chromium Single Cell Controller apparatus and associated protocols (10X Genomics). Libraries were sequenced by 75-bp single-end reading on a NextSeq500 sequencer (Illumina). Reads were aligned on the GRCh38 human genome assembly. Data analysis was performed using the R software package Seurat (https://github.com/satijalab/seurat) Overall design: Single cell RNA-seq data were generated on the 10X emulsion platform (10X Genomics, Pleasanton, CA) according to the manufacturer's instructions. NextSeq data from the Chromium platform were processed using CellRanger v1.3.1, and subsequent normalization, QC, filtering, and differential gene expression analysis was performed in R using Seurat v1.4.0.16.
Large-Scale Human Dendritic Cell Differentiation Revealing Notch-Dependent Lineage Bifurcation and Heterogeneity.
Specimen part, Subject
View SamplesThe human genome produces thousands of long non-coding RNAs (lncRNAs) – transcripts >200 nucleotides long that do not encode proteins. While critical roles in normal biology and disease have been revealed for a subset of lncRNAs, the function of the vast majority remains untested. Here, we developed a CRISPR interference (CRISPRi) platform targeting 16,401 lncRNA loci in 7 diverse cell lines including 6 transformed cell lines and human induced pluripotent stem cells (iPSCs). Large-scale screening identified 499 lncRNA loci required for robust cellular growth, of which 89% showed growth modifying function exclusively in one cell type. We further found that lncRNA knockdown can perturb complex transcriptional networks in a cell type-specific manner. These data underscore the functional importance and cell type-specificity of many lncRNAs. Overall design: 96 RNA-seq samples; 16 ChIP-seq samples
CRISPRi-based genome-scale identification of functional long noncoding RNA loci in human cells.
No sample metadata fields
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Gene-expression signature of vascular invasion in hepatocellular carcinoma.
Sex, Age, Specimen part
View SamplesPlasmacytoid dendritic cells (pDC) are the major source of type I and type III interferons (IFN-I/III) during viral infections, in response to triggering of endosomal Toll Like Receptors (TLRs) 7 or 9 by viral single-stranded RNA or unmethylated CpG DNA, respectively. Interestingly, this function is restricted to a minor fraction of pDC (Zucchini et al. Int. Immunol. 2008). In this project, we aimed at identifying the molecular pathways involved in inducing IFN-I/III production in this minor faction of pDC during in vivo infection by the mouse cytomegalovirus (MCMV). To achive this goal, we infected with MCMV Ifnb1Eyfp mice, in which IFN-producing pDC can be detected by YFP expression (Scheu et al. PNAS 2008). Thanks to this model, we were able to sort three distinct subsets of pDC: CD86-YFP- (not activated, non IFN-producing), CD86+YFP- (activated, non IFN-producing) and CD86+YFP+ (activated, IFN-producing) and to perform microarray analysis. This allowed us to select genes differentially expressed among these three subsets and to mine these data in order to identify the related signaling pathways.
The activation trajectory of plasmacytoid dendritic cells in vivo during a viral infection.
Specimen part, Treatment
View Samples