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accession-icon GSE66933
STIM1 controls T cell mediated immune regulation and inflammation in chronic infection
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Influence of STIM1 on the transcriptome of CD4+ T cell subsets

Publication Title

STIM1 controls T cell-mediated immune regulation and inflammation in chronic infection.

Sample Metadata Fields

Treatment

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accession-icon SRP066192
Genome–wide transcriptional profiling with spatial resolution identifies Bone Morphogenetic Protein signaling as essential regulator of zebrafish cardiomyocyte regeneration.
  • organism-icon Danio rerio
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

In contrast to mammals, zebrafish regenerate heart injuries via proliferation of cardiomyocytes located at the wound border. Here, we show that tomo-seq can be used to identify whole-genome transcriptional profiles of the injury zone, the border zone and the healthy myocardium. Interestingly, the border zone is characterized by the re-expression of embryonic cardiac genes that are also activated after myocardial infarction in mouse and human, including targets of Bone Morphogenetic Protein (BMP) signaling. Endogenous BMP signaling has been reported to be detrimental to mammalian cardiac repair. In contrast, we find that genetic or chemical inhibition of BMP signaling in zebrafish reduces cardiomyocyte dedifferentiation and proliferation, ultimately compromising myocardial regeneration, while bmp2b overexpression is sufficient to enhance it. Our results provide a resource for further studies on the molecular regulation of cardiac regeneration and reveal intriguing differential cellular responses of cardiomyocytes to a conserved signaling pathway in regenerative versus non-regenerative hearts. Overall design: To generate spatially-resolved RNA-seq data for injured zebrafish hearts (3 and 7 days-post-injury), we cryosectioned samples, extracted RNA from the individual sections, and amplified and barcoded mRNA using the CEL-seq protocol (Hashimshony et al., Cell Reports, 2012) with a few modifications. Libraries were sequenced on Illumina NextSeq using 75bp paired end sequencing.

Publication Title

Spatially Resolved Genome-wide Transcriptional Profiling Identifies BMP Signaling as Essential Regulator of Zebrafish Cardiomyocyte Regeneration.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE6055
Gene Expression Profiling Reveals Unique Pathways Associated with Differential Severity of Lyme Arthritis
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

The murine model of Lyme disease provides a unique opportunity to study the localized host response to similar stimulus, B. burgdorferi, in the joints of mice destined to develop severe arthritis (C3H) or mild disease (C57BL/6). Pathways associated with the response to infection and the development of Lyme arthritis were identified by global gene expression patterns using oligonucleotide microarrays. A robust induction of IFN responsive genes was observed in severely arthritic C3H mice at one week of infection, which was absent from mildly arthritic C57BL/6 mice. In contrast, infected C57BL/6 mice displayed a novel expression profile characterized by genes involved in epidermal differentiation and wound repair, which were decreased in the joints of C3H mice. These expression patterns were associated with disease state rather than inherent differences between C3H and C57BL/6 mice, as C57BL/6-IL10-/- mice infected with B. burgdorferi develop more severe arthritis that C57BL/6 mice and displayed an early gene expression profile similar to C3H mice. Gene expression profiles at two and four weeks post infection revealed a common response of all strains that was likely to be important for the host defense to B. burgdorferi and mediated by NF-kB-dependent signaling. The gene expression profiles identified in this study add to the current understanding of the host response to B. burgdorferi and identify two novel pathways that may be involved in regulating the severity of Lyme arthritis.

Publication Title

Gene expression profiling reveals unique pathways associated with differential severity of lyme arthritis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE16195
Expression profiling of joint tissue from C3H and interval specific congenic mouse lines post- B. burgdorferi infection
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Gene expression profile of joint tissue from C3H and interval specific congenic mouse lines (ISCL) following infection with Borrelia burgdorferi

Publication Title

Interval-specific congenic lines reveal quantitative trait Loci with penetrant lyme arthritis phenotypes on chromosomes 5, 11, and 12.

Sample Metadata Fields

Specimen part

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accession-icon SRP065478
Snai2 and Snai3 transcriptionally regulate cellular fitness and functionality of T cell lineages through distinct gene programs
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

T lymphocytes are essential contributors to the adaptive immune system and consist of multiple lineages that serve various effector and regulatory roles. As such, precise control of gene expression is essential to the proper development and function of these cells. Previously, we identified Snai2 and Snai3 as being essential regulators of immune tolerance partly due to the impaired function of CD4+ regulatory T cells in Snai2/3 conditional double knockout mice. Here we extend those previous findings using a bone marrow transplantation model to provide an environmentally unbiased view of the molecular changes imparted onto various T lymphocyte populations once Snai2 and Snai3 are deleted. The data presented here demonstrate that Snai2 and Snai3 transcriptionally regulate the cellular fitness and functionality of not only CD4+ regulatory T cells but effector CD8a+ and CD4+ conventional T cells as well. This is achieved through the modulation of gene sets unique to each cell type and includes transcriptional targets relevant to the survival and function of each T cell lineage. As such, Snai2 and Snai3 are essential regulators of T cell immunobiology. Overall design: GFP- CD3e+ CD8a+ CD4-, GFP- CD3e+ CD8a- CD4+ CD25- and GFP- CD3e+ CD8a- CD4+ CD25+ T cells were isolated from spleens of UBC-GFP mice transplanted with WT or cDKO lineage-depleted donor bone marrow following lethal irradiation of recipient mice. RNA-seq was performed on 3-4 biological replicates from each genotype for all T cell populations analyzed.

Publication Title

Snai2 and Snai3 transcriptionally regulate cellular fitness and functionality of T cell lineages through distinct gene programs.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE54543
Field of Cancerization in Peripheral Airway Epithelium
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Molecular characterization of the peripheral airway field of cancerization in lung adenocarcinoma.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE54495
Field of Cancerization in Peripheral Airway Epithelium: Gene Expresssion
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Field of cancerization in the airway epithelium has been increasing examined to understand early pathogenesis of non-small cell lung cancer.

Publication Title

Molecular characterization of the peripheral airway field of cancerization in lung adenocarcinoma.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon SRP039501
Gene expression profile of metastasis-associated neutrophils
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The goal of this experiment was to determine gene expresssion differences between neutrophils from either K14cre;CdhF/F;Trp53F/F mammary tumor-bearing mice or wild-type mice. Overall design: Neturophil expression profiles were compared between four wild-type mice and five K14cre;CdhF/F;Trp53F/F mice.

Publication Title

IL-17-producing γδ T cells and neutrophils conspire to promote breast cancer metastasis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE72162
Gene expression data from Zeb2WT, Zeb2KO, T-betWT and T-betKO effector CD8+ T cells during infection
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

ZEB2 is a multi-zinc-finger transcription factor known to play a significant role in early neurogenesis and in EMT-dependent tumor metastasis. While the function of ZEB2 in T lymphocytes is unknown, activity of the closely related family member ZEB1 has been implicated in lymphocyte development. Here, we find that ZEB2 expression is upregulated by activated T cells, specifically in the KLRG1hi effector CD8+ T cell subset. Loss of ZEB2 expression results in a significant loss of antigen-specific CD8+ T cells following primary and secondary infection with a severe impairment in the generation of the KLRG1hi effector-memory cell population. We show that ZEB2, which can bind DNA at tandem, consensus E-box sites, regulates gene expression of several E-protein targets and may directly repress CD127 and IL-2 in CD8+ T cells responding to infection. Furthermore, we find that T-bet binds to highly conserved T-box-sites in the ZEB2 gene and that T-bet and ZEB2 regulate similar gene-expression programs in effector T cells, suggesting that T-bet acts upstream and through regulation of ZEB2. Taken together, we place ZEB2 in a larger transcriptional network that is responsible for the balance between terminal differentiation and formation of memory CD8+ T cells.

Publication Title

Transcriptional repressor ZEB2 promotes terminal differentiation of CD8+ effector and memory T cell populations during infection.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP068859
Adipose Angiotensin AT2 Receptors Modulate Thermogenesis
  • organism-icon Mus musculus
  • sample-icon 133 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The brain renin-angiotensin system (RAS) stimulates resting metabolic rate in part through a mechanism involving suppression of the circulating RAS. This effect appears to be mediated through a reduction in angiotensin AT2 receptor (AT2R) signaling within inguinal fat. To examine the molecular mechanisms underlying this effect, mice with hyperactivity of the brain RAS (“sRA” mice, expressing human renin via the synapsin promoter and human angiotensinogen via its own promoter) and littermate controls were chronically infused with vehicle or the AT2R specific agonist, CGP-42112a (CGP, 90 ng/hr, 8 wk, sc). To identify altered signaling pathways, total RNA was isolated from inguinal adipose tissue and transcript abundance was quantitated by RNA-Seq. Overall design: Four groups of mice were studied: controls receiving either a saline infusion (CON) or a specific angiotensin type 2 receptor agonist (CON_CGP), transgenic mice with specific activation of the brain renin-angiotensin receiving either a saline infusion (SRA) or a specific angiotensin type 2 receptor agonist (SRA_CGP). A sample size of N=3-4 was used for each of the four groups.

Publication Title

Suppression of Resting Metabolism by the Angiotensin AT2 Receptor.

Sample Metadata Fields

Sex, Specimen part, Cell line, 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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