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accession-icon GSE24150
b-AP15, a novel proteasome inhibitor
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Microarray based mRNA profiling was used to identify the mechanism of action for the small molecule b-AP15.

Publication Title

Inhibition of proteasome deubiquitinating activity as a new cancer therapy.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE112770
Human bone marrow-derived myeloid dendritic cells show an immature transcriptional and functional profile compared to their peripheral blood counterparts and separate from Slan+ non-classical monocytes
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

The human bone marrow (BM) gives rise to all distinct blood cell lineages, including CD1c+ and CD141+ myeloid dendritic cells (DC) and monocytes. These cell subsets are also present in peripheral blood (PB) and lymphoid tissues. However, the difference between the BM and PB compartment in terms of differentiation state and immunological role of DC is not yet known. The BM may represent both a site for development as well as a possible effector site and so far, little is known in this light with respect to different DC subsets. Using genome-wide transcriptional profiling we found clear differences between the BM and PB compartment and a location-dependent clustering for CD1c+ and CD141+ was demonstrated. DC subsets from BM clustered together and separate from the corresponding subsets from PB, which similarly formed a cluster. In BM, a common proliferating and immature differentiating state was observed for the two DC subsets, whereas DC from the PB showed a more immune-activated mature profile. In contrast, BM-derived slan+ non-classical monocytes were closely related to their PB counterparts and not to DC subsets, implying a homogenous prolife irrespective of anatomical localization. Additional functional tests confirmed these transcriptional findings. DC-like functions were prominently exhibited by PB DC. They surpassed BM DC in maturation capacity, cytokine production and induction of CD4+ and CD8+ T cell proliferation. This first study on myeloid DC in healthy human BM offers new information on steady-state DC biology and could potentially serve as a starting point for further research on these immune cells in healthy conditions as well as in diseases.

Publication Title

Human Bone Marrow-Derived Myeloid Dendritic Cells Show an Immature Transcriptional and Functional Profile Compared to Their Peripheral Blood Counterparts and Separate from Slan+ Non-Classical Monocytes.

Sample Metadata Fields

Specimen part

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accession-icon GSE98694
Transcriptional profiling reveals functional dichotomy between human slan+ non-classical monocytes and myeloid dendritic cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Abstract: Human 6-sulfo LacNac (slan)+ cells have been subject to a paradigm debate. They have previously been classified as a distinct dendritic cell (DC) subset. However, evidence has emerged that they may be more related to monocytes than to DC. To gain deeper insight into the functional specialization of slan+ cells, we have compared them with both conventional myeloid DC subsets (CD1c+ and CD141+) in human peripheral blood. Using genome-wide transcriptional profiling as well as extensive functional tests, we clearly show that slan+ cells form a distinct, non-DC-like, population. They cluster away from both DC subsets and their gene expression profile evidently suggests involvement in distinct inflammatory processes. An extensive comparison with existing genomic data sets also strongly confirmed the relationship of slan+ with the monocytic compartment rather than with DC. From a functional perspective, their ability to induce CD4+ and CD8+ T cell proliferation is relatively low. Combined with the finding that antigen presentation by MHC class II is at the top of under-represented pathways in slan+ cells, this points to a minimal role in directing adaptive T cell immunity. Rather, the higher expression of complement receptors on their cell surface, together with their high secretion of IL-1 and IL-6, imply a specific role in innate inflammatory processes, which is consistent with their recent identification as non-classical monocytes. This study extends our knowledge on DC/monocyte subset biology under steady state conditions and contributes to our understanding of their role in immune-mediated diseases and their potential use in immunotherapeutic strategies.

Publication Title

Transcriptional profiling reveals functional dichotomy between human slan<sup>+</sup> non-classical monocytes and myeloid dendritic cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE23073
Transcriptome profiling of genes regulated by RXR and its partners in monocyte-derived dendritic cells
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

CD14+ human monocytes differentiating into DCs in the presence of IL4 and GM-CSF were treated with agonists for RXR and its partners or vehicle 18 hours after plating (experiment with RXR and permissive partners, donor 1-3) or 14 hours after plating (experiment with nonpermissive partners, donor 4-6). Cells were harvested 12 hours thereafter. Experiments were performed in biological triplicates representing samples from three different donors.

Publication Title

Research resource: transcriptome profiling of genes regulated by RXR and its permissive and nonpermissive partners in differentiating monocyte-derived dendritic cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE23618
Transcriptome profiling of dendritic cell subtypes
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In this study transcriptome profiling of dendritic cell subtypes was performed using various human dendritic cells.

Publication Title

Research resource: transcriptome profiling of genes regulated by RXR and its permissive and nonpermissive partners in differentiating monocyte-derived dendritic cells.

Sample Metadata Fields

Specimen part

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accession-icon SRP007487
MicroRNA profiling of murine T lymphopoiesis
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

Here we describe microRNA profiling of a single differentiation pathway from the stem cell through to terminally differentated mature cells. Overall design: Populations corresponding to distinct stages in T lymphocyte development, from the hematopoietic stem cell-enriched Lin-Sca+Kit+ population through to mature CD4+ and CD8+ T cells were FACS-sorted to purity from the bone marrow and thymus of C57BL/6 mice. Total RNA was extract from each population from which microRNA sequencing libraries were constructed.

Publication Title

Dynamic microRNA gene transcription and processing during T cell development.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP007488
RNA mapping of Drosha deficient cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

Here we show the microRNA genes can been very large and displaying many summarizing structural characteristics Overall design: MicroRNA biogenesis was ablated in CD4+ and CD8+ by deleted Rnasen gene (encoding Drosha). Poly A RNAs were extracted and analyzed by ultra high throughput sequencing

Publication Title

Dynamic microRNA gene transcription and processing during T cell development.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE54323
Gene expression profiling of sequential metastatic biopsies for biomarker discovery in breast cancer
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The feasibility of longitudinal metastatic biopsies for gene expression profiling in breast cancer is unexplored. Dynamic changes in gene expression can potentially predict efficacy of targeted cancer drugs.

Publication Title

Gene expression profiling of sequential metastatic biopsies for biomarker discovery in breast cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE29169
Expression data of Hmg20 knock down I/11 cells and controls
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We performed microarray analysis to investigate the gene expression profile changes induced by Hmg20b knock down in I/11 cells.

Publication Title

The DNA binding factor Hmg20b is a repressor of erythroid differentiation.

Sample Metadata Fields

Specimen part

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accession-icon GSE38720
Time series data of HCV (JC1) infection of Huh7 cells
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Huh7/5-2 cells (Binder et al., Hepatology 2007) were mock infected (DMEM) (time points 4 and 48 h) or infected with the chimeric HCV virus Jc1 (Pietschmann et al., PNAS 2006) (all time points).

Publication Title

Viral immune modulators perturb the human molecular network by common and unique strategies.

Sample Metadata Fields

Specimen part, Time

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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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