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accession-icon SRP039089
RNA-seq based characterization of long non-coding RNA involved in respiratory viruses pathogenesis
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

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.

Publication Title

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.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE64920
Caspase-2-dependent tumor suppression does not depend on the scaffold protein Raidd
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The 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.

Publication Title

The tumor-modulatory effects of Caspase-2 and Pidd1 do not require the scaffold protein Raidd.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE83811
Expression Data from ALDH1+ breast cancer stem cells
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Breast 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.

Publication Title

Transcription Factor Networks derived from Breast Cancer Stem Cells control the immune response in the Basal subtype.

Sample Metadata Fields

Age, Disease stage

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accession-icon SRP152980
RNA-sequencing of Control and TLE3-deficient Beige Adipocytes
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Prolonged 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.

Publication Title

Loss of TLE3 promotes the mitochondrial program in beige adipocytes and improves glucose metabolism.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE75821
Early regulation of profibrotic genes in primary human cardiac myocytes by Trypanosoma cruzi
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

The 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.

Publication Title

Early Regulation of Profibrotic Genes in Primary Human Cardiac Myocytes by Trypanosoma cruzi.

Sample Metadata Fields

Specimen part

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accession-icon SRP127586
Single-cell RNA-seq reveals differentiation of bona fide human pDCs and cDC1s in cultures of cord blood CD34+ progenitors, and a newly identified terminal differentiation step of cDC1s
  • organism-icon Homo sapiens
  • sample-icon 86 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

CD34+ 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.

Publication Title

Large-Scale Human Dendritic Cell Differentiation Revealing Notch-Dependent Lineage Bifurcation and Heterogeneity.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP149899
Analysis of single-cell RNA-seq data from human PBMCs and from in vitro cultures of human cord blood CD34+ progenitors encompassing different DC types
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

For 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.

Publication Title

Large-Scale Human Dendritic Cell Differentiation Revealing Notch-Dependent Lineage Bifurcation and Heterogeneity.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP080367
CRISPRi-based genome-scale identification of functional long non-coding RNA loci in human cells
  • organism-icon Homo sapiens
  • sample-icon 95 Downloadable Samples
  • Technology Badge Icon

Description

The 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

Publication Title

CRISPRi-based genome-scale identification of functional long noncoding RNA loci in human cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE20238
Gene Signature to Identify Vascular Invasion in Human Hepatocellular Carcinoma
  • organism-icon Homo sapiens
  • sample-icon 91 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Gene-expression signature of vascular invasion in hepatocellular carcinoma.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE150664
Dissecting the molecular programs governing interferon production by plasmacytoid dendritic cells during a viral infection in vivo
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Plasmacytoid 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.

Publication Title

The activation trajectory of plasmacytoid dendritic cells in vivo during a viral infection.

Sample Metadata Fields

Specimen part, Treatment

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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