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accession-icon GSE33183
Gene Array Analyzer (GAA): Alternative usage of gene arrays to study alternative splicing events
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st), Affymetrix Mouse Exon 1.0 ST Array [transcript (gene) version (moex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Gene Array Analyzer: alternative usage of gene arrays to study alternative splicing events.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE30429
Gene Array Analyzer (GAA): Alternative usage of gene arrays to study alternative splicing events (MoGene array)
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st), Affymetrix Mouse Exon 1.0 ST Array [transcript (gene) version (moex10st)

Description

The latest version of microarrays released by Affymetrix, the GeneChip Gene 1.0 ST Arrays (gene arrays), are designed in a similar fashion as exon arrays, which enables to identify differentially expressed exons, rather than only the expression level of whole transcripts. Here, we propose an extension, Gene Array Analyzer (GAA), to our previously published Exon Array Analyzer (EAA). GAA enables to analyse gene arrays on exon level and therefore supports to identify alternative splicing with gene arrays. To show the applicability of GAA, we used gene arrays to profile alternative splice events during the development of the heart. Further re-analysis of published gene arrays could show, that some of these splice events reoccur under pathological conditions. The web interface of GAA is user friendly, functional without set up and freely available at http://GAA.mpi-bn.mpg.de.

Publication Title

Gene Array Analyzer: alternative usage of gene arrays to study alternative splicing events.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon SRP082460
Genome-wide transcriptomic profiling of cardiomyocyte differentiation from human ES cells and iPS cells under exposure to sublethal of isotretinoin (RNA-seq)
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

In this study, isotretinoin (INN)-induced alternations in transcriptome during caidiomyocyte differentiation derived from human hESCs and hiPSCs were investigated. H1-hESC and C15-hiPSC were differentiated to caidiomyocytes under exposure to sublethal level of INN, and cells were collected at day 0 (undifferentiated cellsl) day 2 (mesoderm) and day 6 (cardiac progenitors) for genome-wide transcriptomic profiling by RNA-seq. Overall design: H1-hESC and C15-hiPSC were grown in 12-well plates with Essential 8 medium (Thermo Fisher Scientific), and the cardiomyocyte differentiation was initiated using a monolayer differentiation method with PSC Cardiomyocyte Differentiation kit (Thermo Fisher Scientific) under exposure to 25nM of isotretinoin (INN). At day 0, 2 and 6 during the differentiation period (before the medium-change on that day), and cells were collected using Accutase (Thermo Fisher Scientific), and then store in -80C till RNA isolation. For each cell line and each time-point, cells from two independent differentiation wells were used as two biological replicates. RNA-seq libriries were constructed using ScriptSeqâ„¢ v2 RNA-Seq Library Preparation kit (Epicentre Biotechnologies), and then sequenced by a HiSeq 4000 sequencer (Illumina) with 2 X 101 cycles. RNA-seq fastq data were aligned with Tophat (version 2.0.9) to GRCh39/hg19 Homo sapiens reference genome from the UCSC Genome Browser. The human gene symbols and their raw counts were calculated using HTSeq (version 0.6.1p1) package in Python with GRCh39/hg19 Homo sapiens gtf file. Differential gene-expression analysis was performed using edgeR package in R, and the normalization was performed using a trimmed mean of M-values (TMM) method.

Publication Title

Disruption of mesoderm formation during cardiac differentiation due to developmental exposure to 13-cis-retinoic acid.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

View Samples
accession-icon GSE37741
Effects of knockdown of Jmjd6 on human umbilical vein endothelial cells - gene and exon expression
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Human umbilical vein endothelial cells (HUVECs) were incubated for 48 h after transfection of scrambled siRNA or siRNA targeting Jmjd6 .

Publication Title

Jumonji domain-containing protein 6 (Jmjd6) is required for angiogenic sprouting and regulates splicing of VEGF-receptor 1.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE55849
Simultaneous Host-Pathogen transcriptome analysis during Granulibacter bethesdensis infection of normal and chronic granulomatous disease neutrophils
  • organism-icon Homo sapiens, Granulibacter bethesdensis
  • sample-icon 64 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Polymorphonuclear leukocytes (PMN) from patients with chronic granulomatous disease (CGD) fail to produce microbicidal concentrations of reactive oxygen species due to mutations in NOX2. Patients with CGD suffer from severe, life-threatening infections and inflammatory complications. Granulibacter bethesdensis is an emerging Gram-negative pathogen in CGD that resists killing by CGD PMN and inhibits PMN apoptosis through unknown mechanisms. Microarray analysis was used to study mRNA expression in normal and CGD PMN during incubation with G. bethesdensis and, simultaneously, in G. bethesdensis with normal and CGD PMN. We detected upregulation of anti-apoptotic genes (e.g., XIAP, GADD45B) and downregulation of pro-apoptotic genes (e.g., CASP8, APAF1) in infected PMN. Transcript and protein levels of inflammation and immunity-related genes were also altered. Upon interaction with PMN, G. bethesdensis altered expression of ROS-resistance genes in the presence of normal but not CGD PMN. Bacterial stress response genes, including ClpB, increased during phagocytosis by both normal and CGD PMN demonstrating responses to oxygen-independent PMN antimicrobial systems. Antisense knock down demonstrated that ClpB is dispensable for extracellular growth but is essential for bacterial resistance to both normal and CGD PMN. Metabolic adaptation of Granulibacter growth in PMN included upregulation of pyruvate dehydrogenase. Pharmacologic inhibition of pyruvate dehydrogenase by triphenylbismuthdichloride was lethal to Granulibacter. This study expands knowledge of microbial pathogenesis by Granulibacter in cells from permissive (CGD) and non-permissive (normal) hosts and identifies potentially druggable microbial factors, such as pyruvate dehydrogenase and ClpB, to help combat this antibiotic-resistant pathogen.

Publication Title

Simultaneous Host-Pathogen Transcriptome Analysis during Granulibacter bethesdensis Infection of Neutrophils from Healthy Subjects and Patients with Chronic Granulomatous Disease.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Time

View Samples
accession-icon GSE109737
A novel systems immunology approach identifies the collective impact of five miRNAs in Th2 inflammation
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A systems immunology approach identifies the collective impact of 5 miRs in Th2 inflammation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE109735
A novel systems immunology approach identifies the collective impact of five miRNAs in Th2 inflammation (mRNA)
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Allergic asthma is a chronic inflammatory disease dominated by a CD4+ T helper 2 (Th2) cell signature. The immune response amplifies in self-enforcing loops, promoting Th2-driven cellular immunity and leaving the host unable to terminate inflammation. Posttranscriptional mechanisms, including miRNAs, are pivotal in maintaining immune-homeostasis. Since an altered expression of various miRNAs has been associated with T cell-driven diseases, including asthma, we hypothesized that miRNAs control mechanisms ensuring Th2 stability and maintenance in the lung. We isolated murine CD4+ Th2 cells from allergic inflamed lungs and profiled gene and microRNA expression.

Publication Title

A systems immunology approach identifies the collective impact of 5 miRs in Th2 inflammation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP172805
Single Cell RNA sequence data from a human ovarian cancer sample
  • organism-icon Homo sapiens
  • sample-icon 89 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Purpose: Investigate cellular heterogeneity in a fresh human ovarian cancer tissue sample Methods: Enzymatic digestion of fresh tissue sample collected from the operating room to produce single cell suspension. Cells were labelled with fluorescent antibodies to CD3, CD14, CD19, CD20, CD56 and FACS sorted to remove immune cells. The negative population was used for sequencing. Single cells were processed using the Fluidigm C1 Chip to generate barcoded cDNA for each cell. Amplifed cDNA was sequenced using an Illumina HiSeq 2500 machine. Results: Single cell RNA sequence data was obtained for 92 cells and a "bulk" sample of 1000 cells. 26 cells were removed from analysis due to quality control standards. The remaining 66 cells and the bulk sample were analyzed. Conclusion: Single cell RNA sequence analysis reveals heterogeneity in gene expression in cells harvested from a high grade ovarian serous cancer Overall design: A single cell suspension generated from a fresh high grade serous ovarian cancer sample was run through two Fluidigm C1 chips to isolate single cells and produce barcoded cDNA. Sequencing was performed in a single lane of an Illumina HiSeq 2500 machine. 92 single cells were sequenced and 1 bulk sample was sequenced, for a total of 93 samples.

Publication Title

Single cell sequencing reveals heterogeneity within ovarian cancer epithelium and cancer associated stromal cells.

Sample Metadata Fields

Subject

View Samples
accession-icon GSE30428
Identification of right heart-enriched genes in a murine model of chronic outflow tract obstruction
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The right ventricle (RV) differs in several aspects from the left ventricle (LV) including its embryonic origin, physiological role and anatomical design. In contrast to LV hypertrophy, little is known about the molecular circuits, which are activated upon RV hypertrophy (RVH). We established a highly reproducible model of RVH in mice using pulmonary artery clipping (PAC), which avoids detrimental RV pressure overload and thus allows long-term survival of operated mice. Magnetic resonance imaging revealed pathognomonic changes with striking similarities to human congenital heart disease- or pulmonary arterial hypertension- patients. Comparative, microarray based transcriptome analysis of right- and left-ventricular remodeling identified distinct transcriptional responses to pressure-induced hypertrophy of either ventricle, which were mainly characterized by stronger transcriptional responses of the RV compared to the LV myocardium. Hierarchic cluster analysis revealed a RV- and LV-specific pattern of gene activity after induction of hypertrophy, however, we did not find evidence for qualitatively distinct regulatory pathways in RV compared to LV. Data mining of nearly three thousand RV-enriched genes under PAC disclosed novel potential (co)-regulators of long-term RV remodeling and hypertrophy. We reason that specific inhibitory mechanisms in RV restrict excessive myocardial hypertrophy and thereby contribute to its vulnerability to pressure overload.

Publication Title

Identification of right heart-enriched genes in a murine model of chronic outflow tract obstruction.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE69530
A novel long non-coding RNA Myolinc regulates myogenesis through TDP-43 and Filip1
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A novel long non-coding RNA Myolinc regulates myogenesis through TDP-43 and Filip1.

Sample Metadata Fields

Cell line, Time

View Samples
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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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Developed by the Childhood Cancer Data Lab

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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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