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accession-icon GSE23698
Expression data of SW480 cells with TFAP2E overexpression and without TFAP2E (empty vector control)
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

AP2 transcription factors play important roles in development and cancer, we tried to clarify the role of the so far uncharacterised TFAP2E in colorectal cancer.

Publication Title

TFAP2E-DKK4 and chemoresistance in colorectal cancer.

Sample Metadata Fields

Cell line

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accession-icon SRP162862
Single cell data of microglia and perivascular macrophages identified from a single cell RNAseq analysis of mouse brain tissue.
  • organism-icon Mus musculus
  • sample-icon 543 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Single cell sequencing of microglia and perivascular macrophages was performed on brain tissue from different brain regions to obtain single cell expression profiles dependent on celltype and regional location. Overall design: 425 cells from mouse (CD-1) brains at different postnatal ages as well as embryonic day E11.5-E18.5.

Publication Title

Spatial and temporal heterogeneity of mouse and human microglia at single-cell resolution.

Sample Metadata Fields

Subject

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accession-icon SRP174409
Spatial and temporal heterogeneity of mouse and human microglia at single-cell resolution
  • organism-icon Homo sapiens
  • sample-icon 31 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

Microglia play critical roles in neural development and homeostasis. They are also implicated in neurodegenerative and neuroinflammatory diseases of the central nervous system (CNS). However, little is known about the presence of spatially and temporally restricted subclasses of microglia during CNS development and disease. Here, we combined massively parallel single-cell analysis, single-molecule FISH, advanced immunohistochemistry and computational modelling to comprehensively characterize novel microglia subclasses, which were transcriptionally different from perivascular macrophages, in up to six different CNS regions during development and diseases. Single-cell analysis revealed specific time- and region-dependent microglia subtypes during homeostasis. In contrast, demyelinating and neurodegenerative diseases evoked context-dependent microglia subtypes with distinct molecular hallmarks and diverse cellular kinetics. Finally, diverse microglia subsets were also identified in normal and diseased human brains. Our data provide new insights into the CNS endogenous immune system during development, health and perturbations. Overall design: CD45+ cells isolated from healthy and MS-affected human brains were FACS-sorted in 384-well plates and used for scRNAseq. The patients were aged between 22 and 25 years. Data comprises 5 healthy and 5 MS patients. CEL-Seq2 protocol was used for single cell sequencing (Hashimshony et al. 2016).

Publication Title

Spatial and temporal heterogeneity of mouse and human microglia at single-cell resolution.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE12631
Molecular profiling of the of conjunctival epithelial side population cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Side population (SP) cells isolated from limbal and conjunctival epithelia derive from cells that are slow cycling in vivo, a known feature of tissue stem cells. The purpose of this study was to define the molecular signature of the conjunctival side population cells by global differential gene expression to identify markers and signaling pathways associated with this cell phenotype.

Publication Title

Molecular profiling of conjunctival epithelial side-population stem cells: atypical cell surface markers and sources of a slow-cycling phenotype.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE148289
Profiling of gene expression signatures for human corneal epithelial cell after transfection with microRNA-184 or NC.
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Our previous study identified that microRNA-184 as one of the most highly expressed miRNAs in the corneal epithelium. To gain insight into the underlying mechanisms of miR-184 modulation of corneal epithelial cell proliferation and migration, we probed for its gene targets by microarray analysis . HCECs transfected with miR-184 or a NC for 48 h were harvested and a gene microarray evaluated transcriptome expression patterns. Ectopic miR-184 expression resulted in numerous genes undergoing either upregulation or downregulation. Since miRNAs mediate biological functions by impeding expression of their target genes in mammals, a total of 901 differentially downregulated genes (Foldchange ≤ 0.667) were firstly selected.

Publication Title

MicroRNA-184 negatively regulates corneal epithelial wound healing via targeting <i>CDC25A</i>, <i>CARM1</i>, and <i>LASP1</i>.

Sample Metadata Fields

Cell line

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accession-icon SRP067537
Leukemia-associated activating mutation of Flt3 expands dendritic cells and alters T cell responses
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

One of the most common genetic alterations in acute myeloid leukemia is the internal tandem duplication (ITD) in the FLT3 receptor for cytokine FLT3 ligand (FLT3L). The constitutively active FLT3-ITD promotes the expansion of transformed progenitors, but also has pleiotropic effects on normal hematopoiesis. We analyzed the effect of FLT3-ITD on dendritic cells (DCs), which express FLT3 and can be expanded by FLT3L administration. We report that young pre-leukemic mice with the Flt3ITD knock-in allele manifest an expansion of all DCs including classical (cDCs) and plasmacytoid (pDCs). The expansion originated in DC progenitors, occurred in a cell-intrinsic manner and was further enhanced in Flt3ITD/ITD mice. The mutation caused the downregulation of Flt3 on the surface of DCs and reduced their responsiveness to Flt3L. Flt3ITD mice showed enhanced capacity to support T cell proliferation, including a cell-extrinsic expansion of regulatory T cells (Tregs). Accordingly, these mice restricted alloreactive T cell responses during graft-versus-host reaction, but failed to control autoimmunity in the absence of Tregs. Thus, the FLT3-ITD mutation directly affects DC development, thereby indirectly modulating T cell homeostasis and supporting Treg expansion. This effect of FLT3-ITD may subvert immunosurveillance and promote leukemogenesis in a cell-extrinsic manner. Overall design: Sorted splenic dendritic cell subsets from either Flt3+/+ or Flt3ITD/+ mice were sequenced for mRNA profiling. For each subset per genotype contains 2-3 replicates, all from independent experiments.

Publication Title

Leukemia-associated activating mutation of Flt3 expands dendritic cells and alters T cell responses.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE19795
DNA methylation in progenitor cells
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6_V2_0_R2

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Promoter DNA methylation patterns of differentiated cells are largely programmed at the progenitor stage.

Sample Metadata Fields

Specimen part

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accession-icon GSE47559
Ibf1 and Ibf2 are DNA-binding proteins required for insulator function in Drosophila
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Ibf1 and Ibf2 are novel CP190-interacting proteins required for insulator function.

Sample Metadata Fields

Disease, Cell line

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accession-icon GSE48774
Transcriptional responses to high glucose in adipose tissue stem cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip, Illumina HumanWG-6 v3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Epigenetic priming of inflammatory response genes by high glucose in adipose progenitor cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE19773
DNA methylation in progenitor cells: expression study
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6_V2_0_R2

Description

We surveyed DNA methylation profiles of all human RefSeq promoters in relation to gene expression and differentiation in adipose tissue, bone marrow and muscle mesenchymal progenitors, as well as in bone marrow-derived hematopoietic progenitors. We unravel strongly overlapping DNA methylation profiles between adipose stem cells (ASCs), bone marrow mesenchymal stem cells (BMMSCs) and muscle progenitor cells (MPCs), while hematopoietic progenitor cells (HPCs) are more epigenetically distant from MSCs seen as a whole. Differentiation resolves a fraction of methylation patterns common to MSCs, generating epigenetic divergence.

Publication Title

Promoter DNA methylation patterns of differentiated cells are largely programmed at the progenitor stage.

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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