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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

View Samples
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 GSE58590
NFAT-dependent IL-2 and IL-23 produced by DC are key regulators of pathogenic TH17-mediated lung inflammation
  • organism-icon Mus musculus
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Calcineurin/NFAT/IL-2 signaling pathway is activated in dendritic cells (DC) upon encounter of glucan, the main component of the fungal cell wall, raising the question about the role of NFAT-regulated genes in DC biology in vivo. To directly assess the function of IL-2 secreted by DC, we analyzed mice lacking of IL-2 in the DC lineage, CD4-expressing cells and with complete deletion of IL-2 in the germ line in a mouse model of pulmonary fungal infection. Here we found that specifically the loss of IL-2 in DC resulted in increased mice mortality upon the fungus Aspergillus fumigatus challenge and expansion of Th17 cells in the lung. We demonstrated that only CD103+DC were able to release IL-2 in acute phase of pulmonary Aspergillosis through the Ca2+-Calcineurin-NFAT signaling. We also found that NFAT mediates IL-23 transcription in lung DC, where IL-2 results essential in restraining the priming of a pathogenic infiltrating IL-17+Sca1+CD90+CD4+ cell with stem cell like properties. Thus, IL-2 and IL-23 secreted by DC in the lung have an antagonistic relationship on the Th17 differentiation program with IL-2 inducing T cell differentiation and IL-23 inducing a stem cell like molecular signature to Th17 cells upon Aspergillus challenge. DC-Il2-/- then confer the Th17 stemness, releasing IL-23 in response to the fungus contributing to the development of a Th17 cell effector population, particularly pathogenic in infection.

Publication Title

CD103(+) Dendritic Cells Control Th17 Cell Function in the Lung.

Sample Metadata Fields

Cell line, Treatment

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 GSE17172
Expression profiling of Burkitt's lymphoma cells 24h after FOXM1 shRNA or MYB shRNA lentivirus-mediated transduction
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

Human Burkitt's lymphoma ST486 cells were transduced with non-target control shRNA lentiviral vectors, FOXM1 shRNA, and MYB shRNA lentiviral vectors. Total RNA was isolated 24h later. cRNA was produced with the standard one-step IVT protocol (Affymetix) and hybridized in U95Av2 gene chips (Affymetrix).

Publication Title

Correlating measurements across samples improves accuracy of large-scale expression profile experiments.

Sample Metadata Fields

Cell line, Time

View Samples
accession-icon GSE12868
ChIP-on-chip significance analysis reveals large-scale binding and regulation by human transcription factor oncogenes
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

ChIP-on-chip has emerged as a powerful tool to dissect the complex network of regulatory interactions between transcription factors and their targets. However, most ChIP-on-chip analysis methods use conservative approaches aimed to minimize false-positive transcription factor targets. We present a model with improved sensitivity in detecting binding events from ChIP-on-chip data. Its application to human T-cells, followed by extensive biochemical validation, reveals that three transcription factor oncogenes, NOTCH1, MYC, and HES1, bind to several thousands target gene promoters, up to an order of magnitude increase over conventional analysis methods. Gene expression profiling upon NOTCH1 inhibition shows broad-scale functional regulation across the entire range of predicted target genes, establishing a closer link between occupancy and regulation. Finally, the increased sensitivity reveals a combinatorial regulatory program in which MYC co-binds to virtually all NOTCH1-bound promoters. Overall, these results suggest an unappreciated complexity of transcriptional regulatory networks and highlight the fundamental importance of genome-scale analysis to represent transcriptional programs.

Publication Title

ChIP-on-chip significance analysis reveals large-scale binding and regulation by human transcription factor oncogenes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP104402
Mapping the human DC lineage through the integration of high dimensional techniques
  • organism-icon Homo sapiens
  • sample-icon 93 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Dendritic cells (DC) are professional antigen-presenting cells that orchestrate immune responses. The human DC population comprises two main functionally-specialized lineages, whose origins and differentiation pathways remain incompletely defined. Here we combine two high-dimensional technologies — single-cell mRNA sequencing and Cytometry by Time-of-Flight (CyTOF), to identify human blood CD123+CD33+CD45RA+ DC precursors (pre-DC). Pre-DC share surface markers with plasmacytoid DC (pDC) but have distinct functional properties that were previously attributed to pDC. Tracing the differentiation of DC from the bone marrow to the peripheral blood revealed that the pre-DC compartment contains distinct lineage-committed sub-populations including one early uncommitted CD123high pre-DC subset and two CD45RA+CD123low lineage-committed subsets exhibiting functional differences. The discovery of multiple committed pre-DC populations opens promising new avenues for the therapeutic exploitation of DC subset-specific targeting. Overall design: Single cell mRNA sequencing was used to investigate the transcriptomic relationships within the dendritic cell precursors within the peripheral blood.

Publication Title

Mapping the human DC lineage through the integration of high-dimensional techniques.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE96719
Time-dependent regulation of cellular programming of monocytes by NCOR2
  • organism-icon Homo sapiens
  • sample-icon 51 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Cellular Differentiation of Human Monocytes Is Regulated by Time-Dependent Interleukin-4 Signaling and the Transcriptional Regulator NCOR2.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE96703
Time-dependent regulation of cellular programming of monocytes by NCOR2 [Illumina array]
  • organism-icon Homo sapiens
  • sample-icon 51 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

Whole transcriptome profiling (Illumina Microarray) of human ex vivo lymphocytes and monocytes, as well as of human monocyte-derived cells generated in vitro by activating CD14+ monocytes with MCSF, GMCSF or the combination of GMCSF and IL4

Publication Title

Cellular Differentiation of Human Monocytes Is Regulated by Time-Dependent Interleukin-4 Signaling and the Transcriptional Regulator NCOR2.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP102019
Time-dependent regulation of cellular programming of monocytes by NCOR2 [RNASeq_TK]
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

Whole transcriptome profiling (RNA-Seq) of a time kinetics experiment containing human monocyte-derived cells, which were activated with IL4 either directly at the start of the culture, or at different hours after an initial activation with GMCSF alone. Cells being activated solely with GMCSF were added as controls Overall design: CD14+ monocytes were FACS-sorted from blood of human healthy donors and later activated in vitro with either GMCSF alone for 72 hours to obtain Mo-GMCSF[IL4 (0h)] cells as controls, with the combination of GMCSF and IL4 for 72 hours or 144 hours to obtain Mo-GMCSF[IL4 (0-72h)] or Mo-GMCSF[IL4 (0-144h)] cells, respectively, or with first GMCSF and then with the combination of GMCSF and IL4 for different durations. For the latter, monocytes were first activated with GMCSF for either 12, 24, 48 or 72 hours, and then with GMCSF plus IL4 until a total activation time of 144 hours. This resulted in Mo-GMCSF[IL4 (12-144h)], Mo-GMCSF[IL4 (24-144h)] , Mo-GMCSF[IL4 (48-144h)] and Mo-GMCSF[IL4 (72-144h)] cells, respectively.

Publication Title

Cellular Differentiation of Human Monocytes Is Regulated by Time-Dependent Interleukin-4 Signaling and the Transcriptional Regulator NCOR2.

Sample Metadata Fields

Specimen part, Subject

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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