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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.

Sample Metadata Fields

Specimen part

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accession-icon GSE12415
HSF4 deficient lens of newborn mice
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon

Description

Microarray Analyses of Newborn Mouse lens lacking HSF4. Hsf4 is essential for lens development.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE23212
Gene expression profiling of mouse splenic Dendritic cells subsets
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon

Description

We describe a novel subset of CD8+ DCs in lymphoid organs of nave mice characterized by expression of the CX3CR1 chemokine receptor. CX3CR1+CD8+ DCs lack hallmarks of classical CD8+ DCs, including IL12 secretion, the capacity to cross-present antigen and their developmental independence of the transcriptional factor BatF3. Gene expression profiling showed that CX3CR1+CD8+ DCs resemble CD8- cDCs. The microarray analysis further revealed a unique plasmacytoid DC (PDC) gene signature of CX3CR1+ CD8+ DCs. A PDC relationship of the cells is further supported by the fact that they harbor characteristic D-J immunoglobulin gene rearrangements and that development of CX3CR1+CD8+ DCs requires E2-2, the critical transcriptional regulator of PDCs. Thus, CX3CR1+ CD8+ DCs represent a unique DC subset, related to but distinct from PDCs.

Publication Title

CX3CR1+ CD8alpha+ dendritic cells are a steady-state population related to plasmacytoid dendritic cells.

Sample Metadata Fields

No sample metadata fields

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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.

Sample Metadata Fields

Specimen part, Cell line

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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.

Sample Metadata Fields

No sample metadata fields

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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.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE26751
Gene expression of cerebellar Purkinje cells and granule cell layer
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE26749
Gene expression of cerebellar Purkinje cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon

Description

We performed gene-expression analysis of mouse Purkinje cells as a model single-type neuron. DNA microarray analysis detected at least 7,055 genes in Purkinje cells, most of which are classified into functional molecule categories.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE26750
Gene expression of cerebellar granule cell layer
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon

Description

We performed gene-expression analysis of mouse cerebellar granule cell layer as compared to that of Purkinje cells. DNA microarray analysis detected genes in cerebellar granule cell layer, most of which are classified into functional molecule categories.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP136224
zebrafish RNA-seq
  • organism-icon Danio rerio
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

To reveal the toxic mechanism of thifluzamide in zebrafish

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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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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