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accession-icon GSE15181
Expression profiles of cancer cells with anchorage-independent growth ability
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 56 Downloadable Samples
  • Technology Badge Icon

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Anchorage-independent cell growth signature identifies tumors with metastatic potential.

Alternate Accession IDs

E-GEOD-15181

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE15161
Expression data from retroviral vector-infected immortalized mouse embryonic fibroblasts (MEFs)
  • organism-icon Mus musculus
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon

Description

Cultured cancer cells exhibit substantial phenotypic heterogeneity when measured in a variety of ways such as sensitivity to drugs or the capacity to grow under various conditions. Among these, the ability to exhibit anchorage-independent cell growth (colony forming capacity in semisolid media) has been considered to be fundamental in cancer biology because it has been connected with tumor cell aggressiveness in vivo such as tumorigenic and metastatic potentials, and also utilized as a marker for in vitro transformation. Although multiple genetic factors for anchorage-independence have been identified, the molecular basis for this capacity is still largely unknown. To investigate the molecular mechanisms underlying anchorage-independent cell growth, we have used genome-wide DNA microarray studies to develop an expression signature associated with this phenotype. Using this signature, we identify a program of activated mitochondrial biogenesis associated with the phenotype of anchorage-independent growth and importantly, we demonstrate that this phenotype predicts potential for metastasis in primary breast and lung tumors.

Publication Title

Anchorage-independent cell growth signature identifies tumors with metastatic potential.

Alternate Accession IDs

E-GEOD-15161

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE15379
Expression data from lung of septic PPTA knockout mouse
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon

Description

In this study, we have explored microarray-based differential gene expression profile in mouse lung tissue 8 h after inducing polymicrobial sepsis and the effect of preprotachykinin-A (PPTA) gene deletion. A range of genes differentially expressed (> 2-fold) in microarray analysis was assessed, PPTA-knockout septic mice with their respective sham controls.

Publication Title

Substance P in polymicrobial sepsis: molecular fingerprint of lung injury in preprotachykinin-A-/- mice.

Alternate Accession IDs

E-GEOD-15379

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE8753
Sequential responses to high-fat feeding in an obese mouse model
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon

Description

We examined the effects of high-fat diet on feeding behaviour, body weight regulation and common biomarkers associated with weight gain in the C57BL/6J mice over a period of 10 weeks, making measurements at weeks 2, 4 and 10. We examined the transcriptomic profile of hepatic genes involved in the major lipid metabolic pathways, validating the key genes with quantitative real-time reverse-transcription PCR (qRT-PCR) and their gene products with western blots.

Publication Title

Sequential responses to high-fat and high-calorie feeding in an obese mouse model.

Alternate Accession IDs

E-GEOD-8753

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE33031
PU.1 restricts adult hematopoietic stem cell proliferation via cell specific autoregulation
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon

Description

To guarantee blood supply throughout adult life hematopoietic stem cells (HSCs) need to carefully balance between self-renewing cell divisions and quiescence. Identification of genes controlling HSC self-renewal is of utmost importance given that HSCs are the only stem cells with broad clinical applications. Transcription factor PU.1 is one of the major regulators of myeloid and lymphoid development. Recent reports suggest that PU.1 mediates its functions via gradual expression level changes rather than binary on/off states. So far, this has not been considered in any study of HSCs and thus, PU.1s role in HSC function has remained largely unclear. Here we demonstrate using hypomorphic mice with an engineered disruption of an autoregulatory feedback loop that decreased PU.1 levels resulted in loss of key HSC functions, all of which could be fully rescued by restoration of proper PU.1 levels via a human PU.1 transgene. Mechanistically, we found excessive HSC cell divisions and altered expression of cell cycle regulators whose promoter regions were bound by PU.1 in normal HSCs. Adequate PU.1 levels were maintained by a mechanism of direct autoregulation restricted to HSCs through a physical interaction of a -14kb enhancer with the proximal promoter. Our findings identify PU.1 as novel regulator controling the switch between cell division and quiescence in order to prevent exhaustion of HSCs. Given that even moderate level changes greatly impact stem cell function, our data suggest important therapeutic implications for leukemic patients with reduced PU.1 levels. Moreover, we provide first proof, that autoregulation of a transcription factor, PU.1, has a crucial function in vivo. We anticipate that our concept of how autoregulation forms an active chromosomal conformation will impact future research on transcription factor networks regulating stem cell fate.

Publication Title

Sustained PU.1 levels balance cell-cycle regulators to prevent exhaustion of adult hematopoietic stem cells.

Alternate Accession IDs

E-GEOD-33031

Sample Metadata Fields

Specimen part

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accession-icon SRP348227
Neutrophilic inflammation and epithelial barrier disruption in nasal polyps characterize NSAID-exacerbated respiratory disease
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Chronic rhinosinusitis with nasal polyps (CRSwNP) is a debilitating inflammatory disease of the sinonasal cavities. Concomitant CRSwNP and asthma, together with hypersensitivity reactions to cyclooxygenase-1 (COX-1) inhibitors, is a particular phenotype known as NSAID-exacerbated respiratory disease (N-ERD), which is associated with greater disease severity. In this study, we attempted to characterize clinical, laboratory, and transcriptomic differences between CRSwNP patients with N-ERD (N-ERD N=13) and CRSwNP patients without N-ERD (non-N-ERD, N=13). Overall design: Genome-wide RNA sequencing of polyps patients

Publication Title

No associated publication

Alternate Accession IDs

GSE189690

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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accession-icon GSE10776
Expression profiles of Embryonic stem cells derived from normal fertilization and parthenogenesis
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon

Description

To identify the imprinting loci, we designed microarray analysis on the parthenogenetic embryonic stem cells and normal embryos. We could predict 217 imprinting domains associated with embryo development and maternal imprinting.

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-10776

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE38375
Interleukin-27 priming of T cells controls Interleukin-17-production in trans via induction of Programmed cell death ligand 1
  • organism-icon Mus musculus
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon

Description

Interleukin (IL)-27 is a key immunosuppressive cytokine that counters T helper 17 (Th17) cell-mediated pathology. To identify mechanisms by which IL-27 might exert its immunosuppressive effect, we analyzed genes in T cells rapidly induced by IL-27. We found that IL-27 priming of nave T cells upregulated expression of programmed death ligand 1 (PD-L1) in a signal transducer and activator of transcription (STAT)1-dependent manner. When co-cultured with nave CD4+ T cells, IL-27-primed T cells inhibited the differentiation of Th17 cells in trans through a PD-1-PD-L1 interaction. In vivo, co-administration of nave TCR transgenic T cells (2D2 T cells) with IL-27-primed T cells expressing PD-L1 inhibited the development of Th17 cells and protected from severe autoimmune encephalomyelitis. Thus, these data identify a suppressive activity of IL-27, by which CD4+ T cells can restrict differentiation of Th17 cells in trans.

Publication Title

No associated publication

Alternate Accession IDs

E-GEOD-38375

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE21671
Diverse Targets of the Transcription Factor STAT3 Contribute to T Cell Pathogenicity and Homeostasis
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon

Description

STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis.

Publication Title

Diverse targets of the transcription factor STAT3 contribute to T cell pathogenicity and homeostasis.

Alternate Accession IDs

E-GEOD-21671

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE21670
Diverse Targets of the Transcription Factor STAT3 Contribute to T Cell Pathogenicity and Homeostasis [Affymetrix Expression]
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon

Description

STAT3, an essential transcription factor with pleiotropic functions, plays critical roles in the pathogenesis of autoimmunity. Despite recent data linking STAT3 with inflammatory bowel disease, exactly how it contributes to chronic intestinal inflammation is not known. Using a T cell transfer model of colitis we found that STAT3 expression in T cells was essential for the induction of both colitis and systemic inflammation. STAT3 was critical in modulating the balance of T helper 17 (Th17) and regulatory T (Treg) cells, as well as in promoting CD4+ T cell proliferation. We used chromatin immunoprecipitation and massive parallel sequencing (ChIP-Seq) to define the genome-wide targets of STAT3 in CD4+ T cells. We found that STAT3 bound to multiple genes involved in Th17 cell differentiation, cell activation, proliferation and survival, regulating both expression and epigenetic modifications. Thus, STAT3 orchestrates multiple critical aspects of T cell function in inflammation and homeostasis.

Publication Title

Diverse targets of the transcription factor STAT3 contribute to T cell pathogenicity and homeostasis.

Alternate Accession IDs

E-GEOD-21670

Sample Metadata Fields

No sample metadata fields

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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