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accession-icon GSE74276
Gene expression profiling of plasmacytoid dendritic cells from cutaneous lymph nodes
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Plasmacytoid dendritic cells wre isolated from cutaneous lymph nodes of control C57BL/6 mice and used for microarray analysis.

Publication Title

Comparative genomics analysis of mononuclear phagocyte subsets confirms homology between lymphoid tissue-resident and dermal XCR1(+) DCs in mouse and human and distinguishes them from Langerhans cells.

Sample Metadata Fields

Specimen part

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accession-icon SRP167940
Ezh2 regulates Langerhans cell migration and host protection against allergic contact dermatitis
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We analysed by bulk RNA seq the impact of the depletion of EZH2 on Langerhans cells Overall design: Langerhans cell from the skin of WT and EZH2 KO mice have been sorted and their transcriptomic profile has been analysed by bulk RNA seq

Publication Title

Ezh2 Controls Skin Tolerance through Distinct Mechanisms in Different Subsets of Skin Dendritic Cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE9237
Endothelial Cell Line Expression Patterns
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Sphingosine 1-phosphate (S1P) influences T cell migration into and out of secondary lymphoid organs; however, its mechanism of action remains uncertain. Our previous research shows that agonism of the S1P receptor S1P1 inhibits the egress of T lymphocytes from the peripheral tissues into afferent lymphatics. To better define the mechanism of inhibition, we developed an in vitro model to characterize T cell transendothelial migration across lymphatics. Two commercially available endothelial cell lines (MS-1 and SVEC4-10) were characterized by flow cytometry, real time RT-PCR, and Affymetrix Gene Array. These cell lines were grown to confluent monolayers in transwell systems, on either the upper or lower surface of the transwell insert. T cells were isolated from the spleens of (C57BL/6 x C3H/HeJ)F1, S1P1 KO, or S1P1 KO littermate controls, and either treated with the S1P receptor modulator FTY720 or left untreated. Cells were migrated to chemokines (CCL19 or CCL21) for 4 hours, and migration quantified. Flow cytometry, RT-PCR, and array results identified MS-1 as a blood vascular endothelial cell line, expressing high levels of CD31, CD34, and ICAM-1 as well as other endothelial cell markers; while SVEC4-10 closely resemble a lymphatic phenotype, expressing LYVE-1, VEGFR-3, and podoplanin. T cells efficiently migrate across MS-1, whether grown on the upper or lower surface; whereas migration across SVEC4-10 only occurs when cells are grown on the lower surface of the transwell (iSVEC), recapitulating basal (abluminal) to apical (luminal) migration that occurs in vivo. FTY720 inhibits T cell migration across iSVEC, but not across MS-1. Inhibition is due to drug effects only on T cells but not endothelial cells. S1P1 KO T cells treated with FTY720 are not inhibited in their migration across the iSVEC line, showing that S1P1 stimulation is required for migration inhibition. The in vitro model developed here is the first to use endothelial cell lines to analyze the regulation of T cell migration across lymphatic endothelium. The results show there is directional control of T cell migration across lymphatic cells, such that T cells only migrate from a basal to apical direction. Agonism of S1P1 specifically inhibits migration, while absence of the receptor does not. These findings have important implications for the use of S1P1 agonists in transplantation, as inhibition of cell entry into afferent lymphatics and lymph nodes could impede the development of graft rejection.

Publication Title

The sphingosine 1-phosphate receptor 1 causes tissue retention by inhibiting the entry of peripheral tissue T lymphocytes into afferent lymphatics.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE60783
Identification of subset-specific dendritic cell progenitors reveals early commitment in the bone marrow
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identification of cDC1- and cDC2-committed DC progenitors reveals early lineage priming at the common DC progenitor stage in the bone marrow.

Sample Metadata Fields

Sex

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accession-icon SRP045794
Identification of subset-specific dendritic cell progenitors reveals early commitment in the bone marrow [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 222 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Dendritic cells (DCs) are antigen sensing and presenting cells that are essential for effective immunity. Existing as a multi-subset population, divided by distinct developmental and functional characteristics1,2, DC subsets play important and unique roles in responses to pathogens, vaccines and cancer therapies, as well as during immune-pathologies. Therefore therapeutic manipulation of the DC compartment is an attractive strategy. However, our incomplete knowledge of the inter-relationship between DC subsets and how they develop from progenitors in the bone marrow (BM) has so far limited the realization of their therapeutic potential. DCs arise from a cascade of progenitors that gradually differentiate in the BM; first, the macrophage DC progenitor (MDP), then common DC progenitor (CDP), and lastly the Pre-DC, which will leave the BM to seed peripheral tissues before differentiating into mature DCs3,4. While the basic outline of this process is known, how subset commitment and development is regulated at the molecular level remains poorly understood. Here we reveal that the Pre-DC population in mice is heterogeneous, containing uncommitted Ly6c+/-Siglec-H+ cells as well as Ly6c+Siglec-H- and Ly6c-Siglec-H- sub-populations that are developmentally fated to become Th2/17-inducing CD11b+ DCs and Th1-inducing CD8a+ DCs, respectively. Using single cell analysis by microfluidic RNA sequencing, we found that DC subset imprinting occurred at the mRNA level from the CDP stage, revealing that subset fate is defined in the BM and not in peripheral tissues. Single cell transcriptome analysis allowed identification of the molecular checkpoints between progenitor stages and revealed new regulators of DC-poiesis, shedding light on the role of cell cycle control and specific transcription factors in DC lineage development. These data advance our knowledge of the steady-state regulation of DC populations and open promising new avenues for investigation of the therapeutic potential of DC subset-specific targeting in vivo to improve vaccine-based and immunotherapeutic strategies. Overall design: Single cell mRNA sequencing was used to investigate the transcriptomic relationships within the Dendritic cell precursor compartment within the BM as well as between single Dendritic cell precursors

Publication Title

Identification of cDC1- and cDC2-committed DC progenitors reveals early lineage priming at the common DC progenitor stage in the bone marrow.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE60782
Identification of subset-specific dendritic cell progenitors reveals early commitment in the bone marrow [Microarray Expression]
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Dendritic cells (DCs) are antigen sensing and presenting cells that are essential for effective immunity. Existing as a multi-subset population, divided by distinct developmental and functional characteristics1,2, DC subsets play important and unique roles in responses to pathogens, vaccines and cancer therapies, as well as during immune-pathologies. Therefore therapeutic manipulation of the DC compartment is an attractive strategy. However, our incomplete knowledge of the inter-relationship between DC subsets and how they develop from progenitors in the bone marrow (BM) has so far limited the realization of their therapeutic potential. DCs arise from a cascade of progenitors that gradually differentiate in the BM; first, the macrophage DC progenitor (MDP), then common DC progenitor (CDP), and lastly the Pre-DC, which will leave the BM to seed peripheral tissues before differentiating into mature DCs3,4. While the basic outline of this process is known, how subset commitment and development is regulated at the molecular level remains poorly understood. Here we reveal that the Pre-DC population in mice is heterogeneous, containing uncommitted Ly6c+/-Siglec-H+ cells as well as Ly6c+Siglec-H- and Ly6c-Siglec-H- sub-populations that are developmentally fated to become Th2/17-inducing CD11b+ DCs and Th1-inducing CD8+ DCs, respectively. Using single cell analysis by microfluidic RNA sequencing, we found that DC subset imprinting occurred at the mRNA level from the CDP stage, revealing that subset fate is defined in the BM and not in peripheral tissues. Single cell transcriptome analysis allowed identification of the molecular checkpoints between progenitor stages and revealed new regulators of DC-poiesis, shedding light on the role of cell cycle control and specific transcription factors in DC lineage development. These data advance our knowledge of the steady-state regulation of DC populations and open promising new avenues for investigation of the therapeutic potential of DC subset-specific targeting in vivo to improve vaccine-based and immunotherapeutic strategies.

Publication Title

Identification of cDC1- and cDC2-committed DC progenitors reveals early lineage priming at the common DC progenitor stage in the bone marrow.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE53321
Expression data from polarized macrophages: effect of p53
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

p53 is critically important in preventing oncogenesis but its role in non-cancer biology remains unclear. Macrophages exist as two subtypes (M1 and M2). Nutlin-3a (p53 activator) inhibits M2 gene expression and phenotype. p53 acts by suppressing transcription of c-Myc and thence regulates expression of a subset of M2 markers. This work has implications for our understanding of the mechanisms that regulate plasticity of macrophages in health and disease.

Publication Title

A unique role for p53 in the regulation of M2 macrophage polarization.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon SRP186407
Single cell RNA-seq identifies a unique microglia subtype associated with retinal degeneration
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

In many forms of retinal degenerative diseases in human, microglia relocate to and accumulate in the subretinal space. However, the roles of microglia in retinal degeneration are poorly understood. By leveraging single cell RNA-seq, we identified a distinct microglia subtype in the subretinal space. These microglia underwent transcriptional reprogramming characterized by reduced expression of homeostatic checkpoint genes and upregulation of injury-responsive genes. Importantly, this transition is associated with protection of the retinal pigment epithelium from damage caused by disease. Therefore, our data demonstrated microglial heterogeneity in retinal degeneration and may provide important implications for developing new strategies to prevent loss of vision. Overall design: Transcriptional profiling of Cx3cr1+ single cells from the mouse model of light-induced retinal degeneration with matched control, generated from single cell RNA-sequencing of over 10,000 cells.

Publication Title

Microglial Function Is Distinct in Different Anatomical Locations during Retinal Homeostasis and Degeneration.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE144708
Distinct signature, origin and dynamics of macrophages in the peripheral and central nervous system
  • organism-icon Mus musculus
  • sample-icon 25 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

Profiling peripheral nerve macrophages reveals two macrophage subsets with distinct localization, transcriptome and response to injury.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE144702
Distinct signature, origin and dynamics of macrophages in the peripheral and central nervous system (microarray)
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We performed ontogenic, transcriptomic and spatial characterization of sciatic nerve Macs (snMacs). Using multiple fate-mapping systems, we show that snMacs do not derive from the early embryonic precursors colonizing the CNS, but originate primarily from late embryonic precursors and get replaced by bone marrow-derived Macs over time. Using single-cell profiling, we identified a tissue-specific core signature of snMacs and found two spatially-separated snMacs: Relmα + Mgl1 + snMacs in the epineurium and Relmα Mgl1 snMacs in the endoneurium. Globally, snMacs lack most core signature genes of microglia, with only the endoneurial subset expressing a restricted number of these genes. Single-cell transcriptomics revealed that in response to injury both snMacs respond differently and that the PNS, in contrast to the CNS, is permissive to prolonged engraftment of monocyte-derived Macs recruited upon injury.

Publication Title

Profiling peripheral nerve macrophages reveals two macrophage subsets with distinct localization, transcriptome and response to injury.

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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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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