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accession-icon SRP049648
Integrin avß3 acting as membrane receptor for thyroid hormones mediates angiogenesis in malignant T cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We have found that thyroid hormones (THs), acting as soluble integrin avß3 ligands, activate growth-related signaling pathways in T-cell lymphomas (TCL). Specifically, TH-activated avß3 integrin signaling promotes TCL proliferation and angiogenesis, in part, via the up-regulation of VEGF. Overall design: CUTLL1 cells were treated with T3- and T4-bound agarose or agarose alone for 24hrs. Total RNA was harvested from cells and used for expression profiling via RNA-seq.

Publication Title

Integrin αvβ3 acting as membrane receptor for thyroid hormones mediates angiogenesis in malignant T cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE13520
Expression profiles of (40,XX) and (39,XO) females
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina mouse-6 v1.1 expression beadchip

Description

Gobal expression analysis in four somatic tissues (brain, liver, kidney and muscle) of adult 40,XX and 39,XO mice with the aim of identifying which genes are expressed from both X chromosomes as well as those genes deregulated in X chromosome monosomy.

Publication Title

Transcriptional changes in response to X chromosome dosage in the mouse: implications for X inactivation and the molecular basis of Turner Syndrome.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE76812
Common pathways involved in adipose tissue inflammation and atherosclerosis
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Adipose tissue inflammation and atherosclerosis are the main mechanisms behind type 2 diabetes and cardiovascular disease respectively, the major risks associated with the metabolic syndrome. Studies considering more than single factors behind the complexity of the metabolic syndrome are valuable to achieve a better and wider understanding of the metabolic syndrome. In this study common dysregulated pathways between adipose tissue inflammation and atherosclerosis were identified using two different bioinformatic tools to perform pathway analysis. First, we run a gene set enrichment analysis utilizing with data from two microarray experiments done with gonadal white adipose tissue and atherosclerotic aorta. Once the common dysregulated pathways between both tissues were identify, the inflammatory response and the oxidative phosphorylation pathways from the Hallmark geneset were selected to conduct a deeper checkup at the single gene level of these pathways. Second, we carried out a pathway analysis validation with the Panther software combining the microarray data with a published type 2 diabetes mellitus metanalysis and cardiovascular disease metanalysis which included human data. In conclusion, this study provides worthwhile data pointing out and describing several dysregulated and common pathways in adipose tissue inflammation and atherosclerotic aorta with a potential implication in the pathogenesis of type 2 diabetes and atherosclerosis.

Publication Title

Common dysregulated pathways in obese adipose tissue and atherosclerosis.

Sample Metadata Fields

Specimen part

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accession-icon GSE75701
Human expression data from iPSCs, motor neurons derived from iPSCs and ESCs, and fetal spinal cords
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We compare transcriptomic profiles of human induced pluripotent stem cells (iPSCs), motor neurons (MNs) in vitro differentiated from iPSCs or human ESCs containing a HB9::GFP reporter for MNs, and human fetal spinal cords.

Publication Title

ALS disrupts spinal motor neuron maturation and aging pathways within gene co-expression networks.

Sample Metadata Fields

Sex

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accession-icon SRP016629
Accelerated high-yield generation of limb-innervating motor neurons from human stem cells
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Human pluripotent stem cells are a promising source of diverse cells for developmental studies, cell transplantation, disease modeling, and drug testing. However, their widespread use even for intensely studied cell types like spinal motor neurons, is hindered by the long duration and low yields of existing protocols for in vitro differentiation and by the molecular heterogeneity of the populations generated. We report a combination of small molecules that induce up to 50% motor neurons within 3 weeks from human pluripotent stem cells with defined subtype identities that are relevant to neurodegenerative diseases. Despite their accelerated differentiation, motor neurons expressed combinations of HB9, ISL1 and column-specific markers that mirror those observed in vivo in human fetal spinal cord. They also exhibited spontaneous and induced activity, and projected axons towards muscles when grafted into developing chick spinal cord. Strikingly, this novel protocol preferentially generates motor neurons expressing markers of limb-innervating lateral motor column motor neurons (FOXP1+/LHX3-). Access to high-yield cultures of human limb-innervating motor neuron subtypes will facilitate in-depth study of motor neuron subtype-specific properties, disease modeling, and development of large-scale cell-based screening assays. Overall design: We analyzed 3 samples including 2 positive samples and 1 negative sample. Descriptions are as follows: a) Positive Sample 1: SHH-derived, day 21 GFP-high FACS-purified motor neurons. b) Positive Sample 2: S+P-derived, day 21 GFP-high FACS-purified motor neurons. c) Negative: S+P condition, day 21 GFP-off FACS-purified non-motor neurons. Initial analysis of data was performed on ~40% of fastq reads (Amoroso et al., J Neurosci 2013 Jan 9;33(2):574-86. PMID: 23303937). Further processing of the full dataset has since been carried out and the updated rpkm file and expression analysis reflecting all aligned reads can be accessed at: http://scholar.harvard.edu/amorosornaseq/

Publication Title

Accelerated high-yield generation of limb-innervating motor neurons from human stem cells.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE11784
Biologic Phenotyping of the Human Small Airway Epithelial Response to Cigarette Smoking
  • organism-icon Homo sapiens
  • sample-icon 154 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Human Full Length HuGeneFL Array (hu6800)

Description

The first changes associated with smoking are in the small airway epithelium (SAE). Given that smoking alters SAE gene expression, but only a fraction of smokers develop chronic obstructive pulmonary disease (COPD), we hypothesized that assessment of SAE genome-wide gene expression would permit biologic phenotyping of the smoking response, and that a subset of healthy smokers would have a COPD-like SAE transcriptome. SAE (10th-12th generation) was obtained via bronchoscopy of healthy nonsmokers, healthy smokers and COPD smokers and microarray analysis was used to identify differentially expressed genes. Individual responsiveness to smoking was quantified with an index representing the % of smoking-responsive genes abnormally expressed (ISAE), with healthy smokers grouped into high and low responders based on the proportion of smoking-responsive genes up- or down-regulated in each smoker. Smokers demonstrated significant variability in SAE transcriptome with ISAE ranging from 2.9 to 51.5%. While the SAE transcriptome of low responder healthy smokers differed from both high responders and smokers with COPD, the transcriptome of the high responder healthy smokers was indistinguishable from COPD smokers. The SAE transcriptome can be used to classify clinically healthy smokers into subgroups with lesser and greater responses to cigarette smoking, even though these subgroups are indistinguishable by clinical criteria. This identifies a group of smokers with a COPD-like SAE transcriptome.

Publication Title

Biologic phenotyping of the human small airway epithelial response to cigarette smoking.

Sample Metadata Fields

Sex, Age

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accession-icon GSE25970
Reference maps of human ES and iPS cell variation enable high-throughput characterization of pluripotent cell lines
  • organism-icon Homo sapiens
  • sample-icon 43 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

The developmental potential of human pluripotent stem cells suggests that they can produce disease-relevant cell types for biomedical research. However, substantial variation has been reported among pluripotent cell lines, which could affect their utility and clinical safety. Such cell-line specific differences must be better understood before one can confidently use embryonic stem (ES) or induced pluripotent stem (iPS) cells in translational research. Towards this goal we have established genome-wide reference maps of DNA methylation and gene expression for 20 previously derived human ES lines and 12 human iPS cell lines, and we have measured the in vitro differentiation propensity of these cell lines. This resource enabled us to assess the epigenetic and transcriptional similarity of ES and iPS cells and to predict the differentiation efficiency of individual cell lines. The combination of assays yields a scorecard for quick and comprehensive characterization of pluripotent cell lines.

Publication Title

Reference Maps of human ES and iPS cell variation enable high-throughput characterization of pluripotent cell lines.

Sample Metadata Fields

Sex, Cell line

View Samples
accession-icon GSE76811
Identification of MMP12 as a potential new target for prevention and treatment of cardiometabolic disease
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Obesity is strongly associated with the metabolic syndrome, a compilation of risk factors that predispose individuals to the development of cardiometabolic disease (CMD), i.e. cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM). Controlling or preventing the worldwide epidemic of metabolic syndrome requires novel interventions to address this substantial health challenge. The objective of this study was the identification of potential new targets for the simultaneous prevention and treatment of insulin resistance and atherosclerosis, conditions that underlie T2DM and CVD, respectively. Therefore, we used an unbiased bioinformatics approach to identify molecules that are upregulated in both conditions by combining data from two microarray experiments and two meta-analyses. In the microarray experiments we compared gene expression in white adipose tissue (WAT) of obese mice as well as aortae of obese and atherosclerotic mice to respective lean controls. Furthermore, we performed a meta-analysis of published microarrays investigating atherosclerotic vessels and included a published meta-analysis on T2DM into our analyses. We obtained a pool of thirty-four genes that were upregulated in 3 out of the 4 underlying databases. These included well-known as well as novel crucial molecules for treatment of T2DM and CVD. Macrophage metalloelastase 12 (MMP12) was found highly ranked in all analyses and, therefore, chosen for further validation. Analyses of visceral and subcutaneous white adipose tissue from obese compared to lean mice and humans convincingly confirmed the up-regulation of MMP12 in obesity at mRNA, protein and, of note, activity levels. In conclusion, by this unbiased approach an interesting pool of potential molecular targets or biomarkers for treatment and prevention of CMD was identified with MMP12 being confirmed on multiple levels.

Publication Title

Identification of matrix metalloproteinase-12 as a candidate molecule for prevention and treatment of cardiometabolic disease.

Sample Metadata Fields

Specimen part

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accession-icon GSE98321
Epididymal white adipose tissue expression data from WT and Abhd15-ko mice on normal chow diet at refed state
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

Abhd15 is mainly expressed in white adipose tissues and highly upregulated upon adipogenesis. Abhd15 expression is correlated with insulin resistance in obese humans, however its physiological function remains unknown. We used the microarray technology to gain insight into ABHD15s physiological function by identifying dysregulated genes in eWAT from Abhd15-ko mice in comparison to WT mice.

Publication Title

Loss of ABHD15 Impairs the Anti-lipolytic Action of Insulin by Altering PDE3B Stability and Contributes to Insulin Resistance.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE67527
Gene expression comparison between fibroblasts samples of control and SPOAN affected patients
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Objective: Analyze expression patterns of genes located at linkage region of SPOAN syndrome (11q12-13), in order to identify genes differentially expressed in samples of SPOAN individuals compared to healthy controls.

Publication Title

Overexpression of KLC2 due to a homozygous deletion in the non-coding region causes SPOAN syndrome.

Sample Metadata Fields

Specimen part

View Samples

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)

fund-icon Fund the CCDL

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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