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accession-icon GSE95250
Early Induction of NRF-2 Antioxidant Pathway by RHBDF2 Mediates More Rapid Cutaneous Healing in Mice
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Rhomboid family protein RHBDF2, an upstream regulator of the epidermal growth factor (EGF) receptor signaling, has been implicated in cutaneous wound healing. However, the underlying molecular mechanisms are still emerging. Using a gain-of-function mutation in the mouse Rhbdf2 gene (Rhbdf2cub/cub), which shows a regenerative phenotype, we sought to identify the underlying mechanism.

Publication Title

Early induction of NRF2 antioxidant pathway by RHBDF2 mediates rapid cutaneous wound healing.

Sample Metadata Fields

Specimen part, Treatment, Time

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accession-icon SRP071332
Expression profiling of IL-13 stimulated PBMCs with and without an IL-13R antagonist
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

This experiment aims to identify the biological pathways and diseases associated with the cytokine Interleukin 13 (IL-13) using gene expression measured in peripheral blood mononuclear cells (PBMCs). Overall design: The experiment comprised of samples obtained from 3 healthy donors. The expression profiles of in vitro IL-13 stimulation were generated using RNA-seq technology for 3 PBMC samples at 24 hours. The transcriptional profiles of PBMCs without IL-13 stimulation were also generated to be used as controls. An IL-13R-alpha antagonist (Redpath et al. Biochemical Journal, 2013) was introduced into IL-13 stimulated PBMCs and the gene expression levels after 24h were profiled to examine the neutralization of IL-13 signaling by the antagonist.

Publication Title

Combining multiple tools outperforms individual methods in gene set enrichment analyses.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE106535
Gene expression data from colorectal cancers
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

D122p53 mice (a model of D133p53 isoform) are tumour prone, have extensive inflammation and elevated serum IL-6. To investigate the role of IL-6 we crossed 122p53 mice with IL-6 deficient mice. Here we show that loss of IL-6 reduced JAK-STAT signalling, tumour incidence, and metastasis. We also show that D122p53 activates RhoA-ROCK signalling leading to tumour cell invasion which is IL-6 dependent and can be reduced by inhibition of JAK-STAT and RhoA-ROCK pathways. Similarly, we show that 133p53 activates the these pathways, resulting in invasive and migratory phenotypes, in colorectal cancer cells. Gene expression analysis of colorectal tumours showed enrichment of GPCR signalling associated with D133TP53 mRNA. Patients with elevated D133TP53 mRNA levels had a shorter disease free survival. Our results suggest that D133p53 promotes tumour invasion by activation of the JAK-STAT and RhoA-ROCK pathways and that patients whose tumours have high D133p53 may benefit from therapies targeting these pathways.

Publication Title

∆133p53 isoform promotes tumour invasion and metastasis via interleukin-6 activation of JAK-STAT and RhoA-ROCK signalling.

Sample Metadata Fields

Specimen part

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accession-icon GSE10343
Murine Acute Lung Injury
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

With advances in supportive therapy in the last two decades, mortality rates from ALI/ARDS have improved somewhat, but remain around 30 to 40% with significant morbidity in survivors. Several promising treatments are in various stages of evaluation, but many have failed to prove beneficial in large randomized clinical trials (RCT). The first definitive step forward in ALI therapeutics occurred recently as a result of a large RCT demonstrating a mortality decrease from 40 to 31% with the use of low-volume ventilation strategies. From this, it is clear that the opportunity for successful intervention in ALI exists. However, therapeutic advances remain frustrated by the lack of complete understanding of ALI pathophysiology. This stresses the importance of integrating basic and clinical research of the molecular pathogenesis of this disease. The conclusions of a recent National Heart, Lung, and Blood Institute (NHLBI) Working Group on ALI support this type of research as a priority for future investigations of ALI. One of the areas of research given priority by this ALI Working Group is the issue of ALI severity progression and the role of cells of innate immunity in this process. Currently, the processes that determine which ALI patients progress to ARDS and which do not are unclear. As with many phenotype differences, there is most likely a genetic component involved. The basis for this has been demonstrated. For example, a surfactant protein B (SP-B) polymorphism appears to increase a patients risk of developing ALI from pneumonia. Additionally, a polymorphism in the promoter region of the gene for interleukin-6 (IL-6) has been associated with a poor prognosis in patients with ARDS. Understanding the intracellular processes of these genes and the cells expressing them in ALI progression could lead to the identification of molecular markers of ALI severity and eventually to the development of targeted therapies. An examination of genetically uniform animals will provide a clearer insight into the interaction between immune cells in ALI progression as well as guide future human experiments.

Publication Title

Sepsis alters the megakaryocyte-platelet transcriptional axis resulting in granzyme B-mediated lymphotoxicity.

Sample Metadata Fields

Specimen part

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accession-icon SRP194595
Single-cell RNA-Seq Investigation of Foveal and Peripheral Expression in the Human Retina
  • organism-icon Homo sapiens
  • sample-icon 95 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Purpose: Single-cell RNA sequencing has revolutionized cell-type specific gene expression analysis. The goals of this study are to compare cell specific gene expression patterns between retinal cell types originating from the fovea and the periphery of human eyes. Methods: Independent libraries were prepared for foveal and peripheral samples of neural retina from three donors using the 10x Chromium system. Libraries were sequenced on a HiSeq4000. Sequenced reads were mapped to the human genome build hg19 will CellRanger(v3.0.1) and filters removed cells likely to be doublets or cells with a high proportion of mitochondrial reads. Clustering of cells with similar expression profiles was performed with Seurat (v2.3.4). Results: Independent libraries were prepared for foveal and peripheral samples of neural retina from three donors using the 10x Chromium system. Libraries were sequenced on a HiSeq4000. Sequenced reads were mapped to the human genome build hg19 will CellRanger(v3.0.1) and filters removed cells likely to be doublets or cells with a high proportion of mitochondrial reads. Clustering of cells with similar expression profiles was performed with Seurat (v2.3.4). Conclusions: Our study generates a large atlas of human retinal transcriptomes at the single cell level. We identified the majority of expected neural and supportive cell types, and describe regional differences in gene expression between the fovea and the periphery. Our results show that that single-cell RNA sequencing can be performed on human retina after cryopreservation, and that cone photoreceptors and Muller cells demonstrate region-specific patterns of gene expression. Overall design: mRNA profiles for thousands of cells from foveal and peripheral retinal isolates were generated from three human donor eyes using 10X Genomics Chromium single-cell system followed by sequencing on an Illumina HiSeq 4000.

Publication Title

Molecular characterization of foveal versus peripheral human retina by single-cell RNA sequencing.

Sample Metadata Fields

Subject

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accession-icon SRP150419
Haemopedia: Human Haematopoietic Gene Expression
  • organism-icon Homo sapiens
  • sample-icon 84 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Database of gene expression in different haematopoietic cell types at haemosphere.org Overall design: Comparison of gene expression in different haematopoietic cell types

Publication Title

Haemopedia RNA-seq: a database of gene expression during haematopoiesis in mice and humans.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE76966
G-CSF receptor targeting in inflammatory arthritis
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

G-CSF is a hemopoietic growth factor that has a role in steady state granulopoiesis, as well as in mature neutrophil activation and function. We developed a neutralizing monoclonal antibody to the murine G-CSF receptor (G-CSFR), which antagonizes binding of murine G-CSF and inhibits G-CSFR signalling. Anti-G-CSFR rapidly halts the progression of established disease in collagen antibody-induced arthritis (CAbIA). Neutrophil accumulation in joints is inhibited, without rendering animals neutropenic, suggesting an effect on homing to inflammatory sites. Neutrophils in the blood and arthritic joints of anti-G-CSFR treated mice show alterations in cell adhesion receptors, while anti-G-CSFR suppresses local production of proinflammatory cytokines and chemokines known to drive tissue damage. Our aim in this study was to use differential gene expression analysis of joint and blood neutrophils to more thoroughly understand the effect of G-CSFR blockade on the inflammatory response following anti-G-CSFR therapy in CAbIA.

Publication Title

Therapeutic Targeting of the G-CSF Receptor Reduces Neutrophil Trafficking and Joint Inflammation in Antibody-Mediated Inflammatory Arthritis.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage, Treatment

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accession-icon GSE40452
Bone marrow dendritic cells response to LPS, PAM and poly IC
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Mouse Genome 430A Array (htmg430a)

Description

Individual genetic variation affects gene expression and cell phenotype by acting within complex molecular circuits, but this relationship is still largely unknown. Here, we combine genomic and meso-scale profiling with novel computational methods to detect genetic variants that affect the responsiveness of gene expression to stimulus (responsiveness QTLs) and position them in circuit diagrams. We apply this approach to study individual variation in transcriptional responsiveness to three different pathogen components in the model response of primary bone marrow dendritic cells (DCs) from recombinant inbred mice strains. We show that reQTLs are common both in cis (affecting a single target gene) and in trans (pleiotropically affecting co-regulated gene modules) and are specific to some stimuli but not others. Leveraging the stimulus-specific activity of reQTLs and the differential responsiveness of their associated targets, we show how to position reQTLs within the context of known pathways in this regulatory circuit. For example, we find that a pleiotropic trans-acting genetic factor in chr1:129-165Mb affects the responsiveness of 35 anti-viral genes only during an anti-viral like stimulus. Using RNAi we uncover RGS16 the likely causal gene in this interval, and an activator of the antiviral response. Our approach charts an experimental and analytic path to decipher the mechanisms underlying genetic variation in other complex circuits in primary mammalian cells.

Publication Title

Deciphering molecular circuits from genetic variation underlying transcriptional responsiveness to stimuli.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE104572
AR-V7 Targets in Castration-Resistant Prostate Cancer (CRPC) Cell Line
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

In order to define the genes responsible for the growth and survival of a human castration-resistant prostate cancer cell line, a short term (doxycycline inducible) knockdown system was developed and utilized. Three independent 22Rv1 cell isolates were derived for each of the following doxycycline-inducible shRNAs (shGFP, shAR3, and shVav3) (AR3 = AR-V7). The cells were grown in androgen depleted conditions, plus or minus doxycycline, for three days. RNA from the 18 samples was then sent to the University of Miami Genetics Core for RNA Integrity Number (RIN) evaluation and microarray analysis. Genes differentially regulated by AR-V7 knock-down or VAV3 knock-down were explored as downstream targets of AR-V7 or VAV3, respectively.

Publication Title

Identification of an oncogenic network with prognostic and therapeutic value in prostate cancer.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE48359
Transcriptomic analysis of midbrain and individual hindbrain rhombomeres in the chick embryo
  • organism-icon Gallus gallus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Chicken Genome Array (chicken)

Description

A systematic survey of the transcriptional status of individual segments of the developing chick hindbrain (r1-5) and the adjacent region of the embryonic midbrain (m) during the HH11 stage of chick development

Publication Title

Transcriptomic analysis of midbrain and individual hindbrain rhombomeres in the chick embryo.

Sample Metadata Fields

Specimen part

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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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