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accession-icon GSE73829
Inner ear expression data from pooled inner ear tissue from stages 56,57,58 Xenopus laevis larval inner ears
  • organism-icon Xenopus laevis
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Xenopus laevis Genome 2.0 Array (xlaevis2)

Description

The inner ear continues to grow and develop until the auditory and vestibular systems reach full maturity and all of the genes involved in this process have yet to be identified. Previous gene based analysis have primarily focused on the early developmental stages following induction and initial formation of the inner ear. The aim of this study is to identify new candidate genes for inner ear development. Microarrays were used to produce expression profiles from larval stages 56,57,58 of the Xenopus laevis inner ear. The data produced from this work represent an annotated resource that can be utilized by the Xenopus community to provide candidates for further functional analysis.

Publication Title

RNA-Seq and microarray analysis of the Xenopus inner ear transcriptome discloses orthologous OMIM(®) genes for hereditary disorders of hearing and balance.

Sample Metadata Fields

Specimen part

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accession-icon SRP010670
Genome-wide analysis of histone methylation reveals chromatin state-based regulation of host cellular gene expression induced by hepatitis B viruses (DGE dataset)
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Hepatitis B virus (HBV) is a hepatotropic virus that can regulate many host cellular gene expressions participating in the HBV life cycle, liver inflammation and hepatocellular injury. However, the underlying mechanism of differential gene expression is not understood. We report here a genome-wide analysis of histone methylation on two histone H3 lysine residues (H3K4me3 and H3K27me3) and gene expression profiles in HepG2 and HepG2.2.15 cells. We found that specific correlation exists between gene expression and the amounts of H3K4me3 (positive correlation) and H3K27me3 (negative correlation) across the gene body. These correlations displayed three distinct modes (repressive, active and poised), reflecting different functions of these genes in the HBV life cycle, liver inflammation and hepatocellular injury. Furthermore, a permissive chromatin state of each gene was established by a combination of different histone modifications. Our findings reveal a complex regulation by histone methylation in differential gene expression and suggest that histone methylation may be responsible for the HBV life cycle, liver inflammation and hepatocellular injury induced by HBV. Overall design: A large-scale analysis of gene expression of 2 different cell types (HepG2, HepG2.2.15) using a digital gene expression (DGE) tag profiling approach.

Publication Title

Telbivudine treatment corrects HBV-induced epigenetic alterations in liver cells of patients with chronic hepatitis B.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE33341
Gene Expression-Based Classifiers Identify Staphylococcus aureus Infection in Mice and Humans
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 321 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302), Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Staphylococcus aureus causes a spectrum of human infection. Diagnostic delays and uncertainty lead to treatment delays and inappropriate antibiotic use. A growing literature suggests the hosts inflammatory response to the pathogen represents a potential tool to improve upon current diagnostics. The hypothesis of this study is that the host responds differently to S. aureus than to E. coli infection in a quantifiable way, providing a new diagnostic avenue. This study uses Bayesian sparse factor modeling and penalized binary regression to define peripheral blood gene-expression classifiers of murine and human S. aureus infection. The murine-derived classifier distinguished S. aureus infection from healthy controls and Escherichia coli-infected mice across a range of conditions (mouse and bacterial strain, time post infection) and was validated in outbred mice (AUC>0.97). A S. aureus classifier derived from a cohort of 95 human subjects distinguished S. aureus blood stream infection (BSI) from healthy subjects (AUC 0.99) and E. coli BSI (AUC 0.82). Murine and human responses to S. aureus infection share common biological pathways, allowing the murine model to classify S. aureus BSI in humans (AUC 0.84). Both murine and human S. aureus classifiers were validated in an independent human cohort (AUC 0.95 and 0.94, respectively). The approach described here lends insight into the conserved and disparate pathways utilized by mice and humans in response to these infections. Furthermore, this study advances our understanding of S. aureus infection; the host response to it; and identifies new diagnostic and therapeutic avenues.

Publication Title

Gene expression-based classifiers identify Staphylococcus aureus infection in mice and humans.

Sample Metadata Fields

Race

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accession-icon GSE68804
Helper T cell response to low amino acid environments
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix HT MG-430 PM Array Plate (htmg430pm)

Description

Recent observations about how cells sense amino acids have argued for preeminent roles of mTOR and the stress kinase GCN2 in allowing cells to estimate their amino acid needs. Here we used models of programmed immune microenvironments where helper T cells have to sense how much amino acids are available to engage in antigen-fueled proliferation. Contrary to current models, T cells activate mTOR in the competency phase of the cell cycle regardless of amino acid amounts, GCN2 or surface TCR. Instead, we found T cells use an amino acid sensing system to target IL-2-induced STAT5 phosphorylation at the restriction point of cell cycle commitment. mTOR activity is subsequently reduced and specifically connected to SREBP activation. T cells can be pushed into cycle by increasing IL-2 even when no amino acids are available. Collectively, our studies reveal helper T cells use sequential and distinct pathways to measure local amino acid concentrations.

Publication Title

Proliferating Helper T Cells Require Rictor/mTORC2 Complex to Integrate Signals from Limiting Environmental Amino Acids.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE68802
An epithelial integrin regulates the amplitude of protective lung interferon responses
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Integrins facilitate intercellular movement and communication. Unlike the promiscuous activities of many integrins, 6 integrin is restricted to epithelia and partners exclusively with integrin V to modulate acute lung injury (ALI). Given that ALI is a complication of respiratory infection, we used mice lacking 6 integrin (6 KO) to probe the role of the epithelial layer in controlling the lung microenvironment during infection. We found 6 KO mice were protected from disease caused by influenza and Sendai virus infections. They were also protected from disease caused by Streptococcus pneumoniae infection alone and after prior influenza virus infection, the co-infection representing an often-lethal condition in humans. Resistance in the absence of epithelial 6 integrin was caused by intrinsic priming of the lung microenvironment by type I interferons through a mechanism involving transforming growth factor- regulation. Expression of 6 on epithelia suppresses the production of interferons, providing an advantage to the pathogen. Acute inhibition of 6 function may therefore provide a means to improve outcomes in lung microbial infections.

Publication Title

An Epithelial Integrin Regulates the Amplitude of Protective Lung Interferon Responses against Multiple Respiratory Pathogens.

Sample Metadata Fields

Specimen part

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accession-icon GSE31736
Gene expression in response to short and long term cAMP stimulation in the INS-1 insulinoma cell line
  • organism-icon Rattus norvegicus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

Long term exposure to incretin hormones is known to have salutory effects on beta cell function and viability. While short-term cAMP induction is known to have a signature CREB-CRTC target gene response, the long-term effects of cAMP on beta cell gene expression are less well understood.

Publication Title

mTOR links incretin signaling to HIF induction in pancreatic beta cells.

Sample Metadata Fields

Cell line, Time

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accession-icon GSE18497
Diagnosis-relapse in ALL
  • organism-icon Homo sapiens
  • sample-icon 81 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Almost a quarter of pediatric patients with Acute Lymphoblastic Leukemia (ALL) suffer from relapses. The biological mechanisms underlying therapy response and development of relapses have remained unclear. In an attempt to better understand this phenomenon, we have analyzed 41 matched diagnosis relapse pairs of ALL patients using genomewide expression arrays (82 arrays) on purified leukemic cells. In roughly half of the patients very few differences between diagnosis and relapse samples were found (stable group), suggesting that mostly extra-leukemic factors (e.g., drug distribution, drug metabolism, compliance) contributed to the relapse. Therefore, we focused our further analysis on 20 samples with clear differences in gene expression (skewed group), reasoning that these would allow us to better study the biological mechanisms underlying relapsed ALL. After finding the differences between diagnosis and relapse pairs in this group, we identified four major gene clusters corresponding to several pathways associated with changes in cell cycle, DNA replication, recombination and repair, as well as B cell developmental genes. We also identified cancer genes commonly associated with colon carcinomas and ubiquitination to be upregulated in relapsed ALL. Thus, about half of relapses are due to selection or emergence of a clone with deregulated expression of a genes involved in pathways that regulate B cell signaling, development, cell cycle, cellular division and replication.

Publication Title

Genome-wide expression analysis of paired diagnosis-relapse samples in ALL indicates involvement of pathways related to DNA replication, cell cycle and DNA repair, independent of immune phenotype.

Sample Metadata Fields

Sex, Specimen part, Disease

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accession-icon GSE10895
Expression study of liver smaples of 2-days old Mfp2 knockout mice as compared to wild type
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Study on gene expression in multifunctional protein 2 deficient mice. Liver samples of two days old mice in normal conditions are used. In total 8 arrays were hybridized corresponding to 4 KO mice and 4 WT mice Results: Cholesterol synthesis is induced and ppar alpha targets also differentially expressed between KO and WT.

Publication Title

Coordinate induction of PPAR alpha and SREBP2 in multifunctional protein 2 deficient mice.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE13027
Endometrial receptivity
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In GnRH-antagonist/rec-FSH stimulated cycles, advanced endometrial maturation on the day of oocyte retrieval correlates with altered gene expression

Publication Title

In GnRH antagonist/rec-FSH stimulated cycles, advanced endometrial maturation on the day of oocyte retrieval correlates with altered gene expression.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE60099
Intronic polyadenylation of PDGFR in resident stem cells attenuates muscle fibrosis
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The platelet-derived growth factor receptor alpha (PDGFR) exhibits divergent effects in skeletal muscle. At physiological levels, signaling through this receptor promotes muscle development in growing embryos and proper angiogenesis in regenerating adult muscle. However, either increased PDGF ligands or enhanced PDGFR pathway activity causes pathological fibrosis. This excessive collagen deposition, which is seen in aged and diseased muscle, interferes with proper muscle function and limits the effectiveness of gene- and cell-based therapies for muscle disorders. Although compelling evidence exists for the role of PDGFR in fibrosis, little is known about the cells through which this pathway acts. Here we show that PDGFR signaling regulates a population of muscle-resident fibro/adipogenic progenitors (FAPs) that play a supportive role in muscle regeneration but may also cause fibrosis when aberrantly regulated. We found that FAPs produce multiple transcriptional variants of PDGFR with different polyadenylation sites, including an intronic variant that codes for a protein isoform containing a truncated kinase domain. This variant, upregulated during regeneration, acts as a decoy to inhibit PDGF signaling and to prevent FAP over-activation. Moreover, increasing expression of this isoform limits fibrosis in vivo, suggesting both biological relevance and therapeutic potential of modulating polyadenylation patterns in stem cell populations.

Publication Title

Intronic polyadenylation of PDGFRα in resident stem cells attenuates muscle fibrosis.

Sample Metadata Fields

Sex, 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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