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accession-icon GSE79377
Microarray on osteoblasts made from bone marrow stromal cells from Bmp2 flox/flox and Bmp2; Prx1-Cre mice
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

Enhanced BMP or canonical Wnt (cWnt) signaling are therapeutic strategies employed to enhance bone formation and fracture repair, but the mechanisms each pathway utilizes to specify cell fate of bone-forming osteoblasts remain poorly understood. Among all BMPs expressed in bone, we find that singular deficiency of Bmp2 blocks the ability of cWnt signaling to specify osteoblasts from limb bud or bone marrow progenitors. When exposed to cWnts, Bmp2-deficient cells fail to progress through the Runx2/Osx1 checkpoint and thus do not upregulate multiple genes controlling mineral metabolism in osteoblasts. Cells lacking Bmp2 after induction of Osx1 differentiate normally in response to cWnts, supporting pre-Osx1+ osteoprogenitors as a critical source and target of BMP2. Our analysis furthermore reveals Grainyhead-like 3 (Grhl3) is to date an unidentified transcription factor in the osteoblast gene regulatory network that is induced during bone development and bone repair, and acts upstream of Osx in a BMP2-dependent manner. The Runx2/Osx1 transition therefore receives critical regulatory inputs from BMP2 that are not compensated for by cWnt signaling, and this is mediated at least in part by induction and activation of Grhl3.

Publication Title

Specification of osteoblast cell fate by canonical Wnt signaling requires Bmp2.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE35603
Network Biology of Tumor Stem-like Cells Identified a Regulatory Role of CBX5 in Lung Cancer
  • organism-icon Homo sapiens
  • sample-icon 74 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Mounting evidence points to a link between a cancer possessing stem-like properties and a worse prognosis. To understand the biology, a common approach is to integrate network biology with signal processing mechanics. That said, even with the right tools, predicting the risk for a highly susceptible target using only a handful of gene signatures remains very difficult. By compiling the expression profiles of a panel of tumor stem-like cells (TSLCs) originating in different tissues, comparing these to their parental tumor cells (PTCs) and the human embryonic stem cells (hESCs), and integrating network analysis with signaling mechanics, we propose that network topologically-weighted signaling processing measurements under tissue-specific conditions can provide scalable and predicable target identification.

Publication Title

Network biology of tumor stem-like cells identified a regulatory role of CBX5 in lung cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE11114
Comparison of murine masticatory and limb skeletal muscle
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Distinctions between craniofacial and axial muscles exist from the onset of development and throughout adulthood. The masticatory muscles are a specialized group of craniofacial muscles that retain embryonic fiber properties throughout adulthood, suggesting that the developmental origin of these muscles may govern a pattern of expression that differs from limb muscles. To determine the extent of these differences, expression profiling of total RNA isolated from the masseter and tibialis anterior (TA) muscles of adult female mice was performed, which identified transcriptional changes in unanticipated functional classes of genes in addition to those associated with fiber type. In particular, the masseters displayed a reduction of transcripts associated with load-sensing and anabolic processes, and heightened expression of genes associated with stress. Consistent with these observations were a significantly smaller fiber cross-sectional area in masseters, significantly elevated load-sensing signaling (phosphorylated Focal Adhesion Kinase (FAK)), and increased apoptotic index in masseters compared to TA muscles. Based on these results, we hypothesize that masticatory muscles may sense and respond to load differently than limb muscles, where the drive for anabolic processes is reduced, and cell stress mediated processes are enhanced. These results establish a novel classification for the masseter muscle in the spectrum of skeletal muscle allotypes, and may provide insight into the molecular basis for specific muscle-related pathologies associated with masticatory muscles.

Publication Title

Expression profiling reveals heightened apoptosis and supports fiber size economy in the murine muscles of mastication.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE5654
Essential role of Jun family transcription factors in PU.1-induced leukemic stem cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Knockdown of the transcription factor PU.1 (Spi1) leads to acute myeloid leukemia (AML) in mice. We examined the transcriptome of PU.1 knockdown hematopoietic stem cells (HSC) in the preleukemic phase by linear amplification and genome-wide array analysis to identify transcriptional changes preceding malignant transformation. Hierarchical cluster analysis and principal component analysis clearly distinguished PU.1 knockdown from wildtype HSC. Jun family transcription factors c-Jun and JunB were among the top downregulated targets. Retroviral restoration of c-Jun expression in bone marrow cells of preleukemic mice partially rescued the PU.1-initiated myelomonocytic differentiation block. Lentiviral restoration of JunB at the leukemic stage led to reduced clonogenic growth, loss of leukemic self-renewal capacity, and prevented leukemia in transplanted NOD-SCID mice. Examination of 305 AML patients confirmed the correlation between PU.1 and JunB downregulation and suggests its relevance in human disease. These results delineate a transcriptional pattern that precedes the leukemic transformation in PU.1 knockdown HSC and demonstrate that decreased levels of c-Jun and JunB contribute to the development of PU.1-induced AML by blocking differentiation (c-Jun) and increasing self-renewal (JunB). Therefore, examination of disturbed gene expression in HSC can identify genes whose dysregulation is essential for leukemic stem cell function and are targets for therapeutic interventions.

Publication Title

Essential role of Jun family transcription factors in PU.1 knockdown-induced leukemic stem cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE60236
Variation in primary CD4+ T cell response to activation across time and people
  • organism-icon Homo sapiens
  • sample-icon 103 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Intersection of population variation and autoimmunity genetics in human T cell activation.

Sample Metadata Fields

Sex, Age, Race, Subject

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accession-icon GSE56035
Immune Variation Project (ImmVar)
  • organism-icon Homo sapiens
  • sample-icon 980 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Polarization of the effects of autoimmune and neurodegenerative risk alleles in leukocytes.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE15907
Immunological Genome Project data Phase 1
  • organism-icon Mus musculus
  • sample-icon 638 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Gene-expression microarray datasets generated as part of the Immunological Genome Project (ImmGen). Primary cells from multiple immune lineages are isolated ex-vivo, primarily from young adult B6 male mice, and double-sorted to >99% purity. RNA is extracted from cells in a centralized manner, amplified and hybridized to Affymetrix 1.0 ST MuGene arrays. Protocols are rigorously standardized for all sorting and RNA preparation. Data is released monthly in batches of cell populations.

Publication Title

Transcriptomes of the B and T lineages compared by multiplatform microarray profiling.

Sample Metadata Fields

Sex, Age

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accession-icon GSE56033
Immune Variation Project (ImmVar) [CD4]
  • organism-icon Homo sapiens
  • sample-icon 499 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Gene expression profiling of CD4 T-Cells (CD4+CD62L+) from human peripheral blood mononuclear cells (PBMCs). PBMCs were isolated from healthy individuals from the Boston area.

Publication Title

Polarization of the effects of autoimmune and neurodegenerative risk alleles in leukocytes.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE56034
Immune Variation Project (ImmVar) [CD14]
  • organism-icon Homo sapiens
  • sample-icon 481 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Gene expression profiling of Monocytes (CD14+CD16-) from human peripheral blood mononuclear cells (PBMCs). PBMCs were isolated from healthy individuals from the Boston area.

Publication Title

Polarization of the effects of autoimmune and neurodegenerative risk alleles in leukocytes.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE84568
Immuno-genomic effects of JAK blockade
  • organism-icon Mus musculus
  • sample-icon 332 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

Network pharmacology of JAK inhibitors.

Sample Metadata Fields

Sex, Age, Specimen part, Compound

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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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