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accession-icon GSE38780
Expression data of normal human extraocular muscle and strabismic human extraocular muscle
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human strabismic extraocular muscles (EOMs) differ from normal EOMs in structural and functional properties, but the gene expression profile of these two types of human EOM has not been examined. Differences in gene expression may inform about causes and effects of the strabismic condition in humans. Our samples are from human strabismic patients undergoing corrective surgery, and from human organ donors with no history of EOM disease.

Publication Title

Differences in gene expression between strabismic and normal human extraocular muscles.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE109824
Genome-wide analysis of hepatic cells upon infection with Hepatitis B virus (HBV) or Hepatitis D virus (HDV)
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

The same entry pathway is shared by HBV and HDV. Both viruses attach to hepatocytes via heparansulfate proteoglycan and utilize sodium taurocholate co-transporting polypeptide (NTCP) for a specifc entry. This specific entry step is inhibited by Myrcludex B, a 47-aa lipopeptide myristoylated at the N-terminus. Here we compared the cellular response in the gene expression level triggerred by both viruses. The microarray data shows that HBV infection leads to a silent response but HDV infection triggers high level of innate response such as inteferon-stimulated genes (ISG) expression. Moreover, the response depends on the hepatic cell lines used for infection. Compared to HepG2 cells, HuH7 can not induce ISG even infected by HDV.

Publication Title

Hepatitis D virus replication is sensed by MDA5 and induces IFN-β/λ responses in hepatocytes.

Sample Metadata Fields

Cell line, Time

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accession-icon GSE31409
Lentiviral vector-based insertional mutagenesis identifies new clinically relevant cancer genes involved in the pathogenesis of hepatocellular carcinoma
  • organism-icon Mus musculus
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We devised a novel insertional mutagenesis approach based on lentiviral vectors to induce hepatocellular carcinoma in three mouse models and identified four novel cancer initiating genes. Two genes are the well characterized Braf and Sos1, while the other two are Fign, encoding an AAA ATPase whose functions are poorly understood, and the complex Dlk1-Dio3 imprinted region which has been recently implicated in cancer and stemness. Activation of Fign or Braf and upregulation of the Dlk1-Dio3 imprinted region are functionally interconnected and may altogether control cell transformation, stemness and energy metabolism. Moreover, all the genes identified play a relevant role in human hepatocarcinogenesis as their expression levels and/or transcriptional signatures induced by their deregulation predict a different clinical outcome in hepatocellular carcinoma patients. These series consists of mRNA expression microarray data (The GeneChip Mouse Gene 1.0 ST Array, Affymetrix) from 8 non-tumoral liver and 21 hepatocellular carcinoma induced by insertional mutagenesis.

Publication Title

Lentiviral vector-based insertional mutagenesis identifies genes associated with liver cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE21479
Whole genome sequencing of Saccharomyces cerevisiae: from genotype to phenotype for improved metabolic engineering applications
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

The needs for rapid and efficient microbial cell factory design and construction are possible through the enabling technology, metabolic engineering, which is now being facilitated by systems biology approaches. Metabolic engineering is often complimented by directed evolution, where selective pressure is applied to a partially genetically engineered strain to confer a desirable phenotype. The exact genetic modification or resulting genotype that leads to the improved phenotype is often not identified or understood to enable further metabolic engineering. In this work we establish proof-of-concept that whole genome high-throughput sequencing and annotation can be used to identify single nucleotide polymorphisms (SNPs) between Saccharomyces cerevisiae strains S288c and CEN.PK113-7D. The yeast strain S288c was the first eukaryote sequenced, serving as the reference genome for the Saccharomyces Genome Database, while CEN.PK113-7D is a preferred laboratory strain for industrial biotechnology research. A total of 13,787 high-quality SNPs were detected between both strains (reference strain: S288c). Considering only metabolic genes (782 of 5,873 annotated genes), a total of 219 metabolism specific SNPs are distributed across 158 metabolic genes, with 85 of the SNPs being non-silent (e.g., encoding amino acid modifications). Amongst metabolic SNPs detected, there was pathway enrichment in the galactose uptake pathway (GAL1, GAL10) and ergosterol biosynthetic pathway (ERG8, ERG9). Physiological characterization confirmed a strong deficiency in galactose uptake and metabolism in S288c compared to CEN.PK113-7D, and similarly, ergosterol content in CEN.PK113-7D was significantly higher in both glucose and galactose supplemented cultivations compared to S288c. Furthermore, DNA microarray profiling of S288c and CEN.PK113-7D in both glucose and galactose batch cultures did not provide a clear hypothesis for major phenotypes observed, suggesting that genotype to phenotype correlations are manifested post-transcriptionally or post-translationally either through protein concentration and/or function. With an intensifying need for microbial cell factories that produce a wide array of target compounds, whole genome high-throughput sequencing and annotation for SNP detection can aid in better reducing and defining the metabolic landscape. This work demonstrates direct correlations between genotype and phenotype that provides clear and high-probability of success metabolic engineering targets. The genome sequence, annotation, and a SNP viewer of CEN.PK113-7D are deposited at www.sysbio.se/cenpk.

Publication Title

Whole genome sequencing of Saccharomyces cerevisiae: from genotype to phenotype for improved metabolic engineering applications.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE8159
A gene expression fingerprint of C. elegans embryonic motor neurons.
  • organism-icon Caenorhabditis elegans
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

Background: Differential gene expression specifies the highly diverse cell types that constitute the nervous system. With its sequenced genome and simple, well-defined neuroanatomy, the nematode C. elegans is a useful model system in which to correlate gene expression with neuron identity. The UNC-4 transcription factor is expressed in thirteen embryonic motor neurons where it specifies axonal morphology and synaptic function. These cells can be marked with an unc-4::GFP reporter transgene. Here we describe a powerful strategy, Micro-Array Profiling of C. elegans cells (MAPCeL), and confirm that this approach provides a comprehensive gene expression profile of unc-4::GFP motor neurons in vivo. Results: Fluorescence Activated Cell Sorting (FACS) was used to isolate unc-4::GFP neurons from primary cultures of C. elegans embryonic cells. Microarray experiments detected 6,217 unique transcripts of which ~1,000 are enriched in unc-4::GFP neurons relative to the average nematode embryonic cell. The reliability of these data was validated by the detection of known cell-specific transcripts and by expression in UNC-4 motor neurons of GFP reporters derived from the enriched data set. In addition to genes involved in neurotransmitter packaging and release, the microarray data include transcripts for receptors to a remarkably wide variety of signaling molecules. The added presence of a robust array of G-protein pathway components is indicative of complex and highly integrated mechanisms for modulating motor neuron activity. Over half of the enriched genes (537) have human homologs, a finding that could reflect substantial overlap with the gene expression repertoire of mammalian motor neurons.

Publication Title

A gene expression fingerprint of C. elegans embryonic motor neurons.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP151785
Transcriptional signature of murine tracheal brush cells identified by RNA-Seq
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Purpose: Tracheal epithelial brush cells are rare chemosensory cells defined by their expression of elements of the bitter taste transduction system, and known to activate the cholinergic nervous system in the murine lung. Similar chemosensory cells in the intestine can generate lipid mediators and pro-inflammatory cytokines but whether brush cell can contribute to airway inflammation is unknown. Furthermore, despite the advances in understanding chemosensory cell effector functions, the receptors that mediate chemosensory cell activation and expansion beyond taste receptors in any compartment remain largely unknown. Methods: In this study, we isolated tracheal brush cells by FACS from naïve ChATBAC-eGFP mice with knockin of eGFP within a BAC spanning the acetylcholine transferase locus, marking brush cells in the epithelium and performed transcriptome profiling using low input RNA sequencing. We compared tracheal brush cells to EpCAM+ epithelial cells and CD45+ hematopoetic cells in naive mice. Results: When compared to EpCAM+ EpCs and to CD45+ cells in the airway, principal component analysis demonstrated that brush cells grouped quite distinctly. This brush cell distinction relative to EpCAM+ cells, was further reflected in the striking number of highly differentially expressed genes. This included 1305 genes expressed at 4-fold or higher levels in EpCAM+eGFP+ cells (brush cells), of which 418 genes were expressed at 32-fold or higher levels in brush cells. Conclusions: Our study represents the first detailed analysis of the transcriptome of tracheal brush cells and identifies a unique set of genes that are primarily expressed in brush cells including the bitter taste transduction system, synthenic machinery for several pro-inflammatory lipid mediators and HoxA2 transciptional factors. Overall design: Examination of gene expression of tracheal brush cells (ChAT-eGFP), EpCAM+ (EpCAM) tracheal epithelial cell and CD45+ hematopoetic cells in naïve mice.

Publication Title

The cysteinyl leukotriene 3 receptor regulates expansion of IL-25-producing airway brush cells leading to type 2 inflammation.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE78697
Postnatal monocyte maturation requires age-dependent initiation of regulatory gene programs when losing birth-associated stress tolerance
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

We disprove that the impaired Myd88-dependent proinflammatory response of neonatal monocytes is a correlate for immaturity and confirm it as display of transient alarmin-mediated stress tolerization. We find a strong inducibility of TRIF-dependent genes in neonatal monocytes by LPS but a barely detectable expression at baseline.

Publication Title

S100-alarmin-induced innate immune programming protects newborn infants from sepsis.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP029466
Homeostatic skin contains two different subsets of resident macrophages with distinct origin and gene profile.
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

We have found the existence of two independent populations contributing to the skin-resident macrophage pool based on their different origin. We have analyzed their gene profile by deep-sequencing (RNA-Seq). Analysis of RNA-Seq data revealed a differential expression signature between both subsets of skin macrophages for 744 of 17741 genes compiled (198 of them showing similar normalized expression levels across replicates). We have further characterized their specialized functions related to their different gene profiles. Overall design: Examination of gene profile of 2 different macrophage subsets coexisting in skin under steady state.

Publication Title

Pivotal role for skin transendothelial radio-resistant anti-inflammatory macrophages in tissue repair.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE21511
EWS-FLI1 reactivates a neural crest stem cell program in human neural crest-derived mesenchymal stem cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Ewing sarcoma family of tumors (ESFT) are aggressive bone and soft tissue tumors of unknown cellular origin. Most ESFT express EWS-FLI1, a chimeric protein which functions as a growth-promoting oncogene in ESFT but is toxic to most normal cells. A major difficulty in understanding EWS-FLI1 function has been the lack of an adequate model in which to study EWS-FLI1-induced transformation. Although the cell of origin of ESFT remains elusive, both mesenchymal (MSC) and neural crest (NCSC) have been implicated. We recently developed the tools to generate NCSC from human embryonic stem cells (hNCSC). In the current study we used this model to test the hypothesis that neural crest-derived stem cells are the cells of origin of ESFT and to evaluate the consequences of EWS-FLI1 expression on human neural crest biology.

Publication Title

Modeling initiation of Ewing sarcoma in human neural crest cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE19587
Imaging-guided microarray: Identifies molecular markers in the pathogenesis of Parkinsons disease
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The full complement of molecular pathways contributing to Parkinsons disease (PD) pathogenesis remains unknown. Here, to address this issue, we began by using a high-resolution variant of functional magnetic resonance imaging (fMRI) to pinpoint brainstem regions differentially affected by, and resistant to, the disease. Then, relying on the imaging information as a guide, we profiled gene expression levels of postmortem brain samples and used a factorial statistical model to identify a disease related decrease in the expression of the polyamine enzyme spermidine/spermine N1-acetyltransferase 1 (SAT1). Next, a series of studies were performed to confirm the pathogenic relevance of this finding. First, to test for a causal link between polyamines and -synuclein toxicity, we investigated a yeast model expressing -synuclein. Polyamines were found to enhance the toxicity of -synuclein, and an unbiased genome-wide screen for modifiers of -synuclein toxicity identified Tpo4, a member of a family of proteins responsible for polyamine transport. Second, to test for a causal link between SAT1 activity and PD histopathology we investigated a mouse model expressing -synuclein. DENSPM (N1, N11-diethylnorspermine), a polyamine analog that increases SAT1 activity, was found to reduce PD histopathology, while Berenil (diminazene aceturate), a pharmacological agent that reduces SAT1 activity, worsened the histopathology. Third, we genotyped PD patients and controls and isolated a rare but novel variant in the SAT1 gene, although the functional significance of this genetic variant was not identified. Taken together, the results suggest that the polyamine pathway contributes to PD pathogenesis.

Publication Title

Polyamine pathway contributes to the pathogenesis of Parkinson disease.

Sample Metadata Fields

Sex, Age, Subject

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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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