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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 GSE53454
Human islets exposed to cytokines IL-1 and IFN-
  • organism-icon Homo sapiens
  • sample-icon 86 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In the context of T1 Diabetes, pro-inflammatory cytokines IL-1 and IFN- are known to contribute to -cell apoptosis;

Publication Title

Temporal profiling of cytokine-induced genes in pancreatic β-cells by meta-analysis and network inference.

Sample Metadata Fields

Specimen part, Treatment, Time

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accession-icon GSE53453
Rat insulin-producing INS-1E exposed to cytokines IL-1 and IFN-
  • organism-icon Rattus norvegicus
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

In the context of T1 Diabetes, pro-inflammatory cytokines IL-1 and IFN- are known to contribute to -cell apoptosis;

Publication Title

Temporal profiling of cytokine-induced genes in pancreatic β-cells by meta-analysis and network inference.

Sample Metadata Fields

Cell line, Treatment, Time

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accession-icon GSE6532
Definition of clinically distinct molecular subtypes in estrogen receptor positive breast carcinomas using genomic grade
  • organism-icon Homo sapiens
  • sample-icon 737 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Purpose: A number of microarray studies have reported distinct molecular profiles of breast cancers (BC): basal-like, ErbB2-like and two to three luminal-like subtypes. These were associated with different clinical outcomes. However, although the basal and the ErbB2 subtypes are repeatedly recognized, identification of estrogen receptor (ER)-positive subtypes has been inconsistent. Refinement of their molecular definition is therefore needed.

Publication Title

Definition of clinically distinct molecular subtypes in estrogen receptor-positive breast carcinomas through genomic grade.

Sample Metadata Fields

Age, Disease stage

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accession-icon GSE49039
Comparison of gene expression from thymocyte populations and equivalent OP9-DL1 cultured cells
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Comparison between ex vivo immature, mature and stimulated T cells and in vitro generated counterparts. The T cells generated in vitro were cultured on OP9-DL1 stroma supplied with growth factors.

Publication Title

In vitro generation of mature, naive antigen-specific CD8(+) T cells with a single T-cell receptor by agonist selection.

Sample Metadata Fields

Specimen part

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accession-icon GSE65682
Genome-wide blood transcriptional profiling in critically ill patients - MARS consortium
  • organism-icon Homo sapiens
  • sample-icon 802 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

The host response in critically ill patients with sepsis, septic shock remains poorly defined. Considerable research has been conducted to accurately distinguish patients with sepsis from those with non-infectious causes of disease. Technological innovations have positioned systems biology at the forefront of biomarker discovery. Analysis of the whole-blood leukocyte transcriptome enables the assessment of thousands of molecular signals beyond simply measuring several proteins in plasma, which for use as biomarkers is important since combinations of biomarkers likely provide more diagnostic accuracy than the measurement of single ones or a few. Evidence suggests that genome-wide transcriptional profiling of blood leukocytes can assist in differentiating between infection and non-infectious causes of severe disease. Of importance, RNA biomarkers have the potential advantage that they can be measured reliably in rapid quantitative reverse transcriptase polymerase chain reaction (qRT-PCR)-based point of care tests.

Publication Title

A molecular biomarker to diagnose community-acquired pneumonia on intensive care unit admission.

Sample Metadata Fields

Sex, Age

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accession-icon GSE9195
Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen
  • organism-icon Homo sapiens
  • sample-icon 77 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Estrogen receptor positive (ER+) breast cancers (BC) are heterogeneous with regard to their clinical behavior and response to therapies. The ER is currently the best predictor of response to the anti-estrogen agent tamoxifen, yet up to 30-40% of ER+BC will relapse despite tamoxifen treatment. New prognostic biomarkers and further biological understanding of tamoxifen resistance are required. We used gene expression profiling to develop an outcome-based predictor using a training set of 255 ER+ BC samples from women treated with adjuvant tamoxifen monotherapy. We used clusters of highly correlated genes to develop our predictor to facilitate both signature stability and biological interpretation. Independent validation was performed using 362 tamoxifen-treated ER+ BC samples obtained from multiple institutions and treated with tamoxifen only in the adjuvant and metastatic settings.

Publication Title

Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen.

Sample Metadata Fields

Age, Disease stage, Treatment

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accession-icon GSE20257
Smoking-induced Disarray of the Apical Junctional Complex Gene Expression Architecture in the Human Airway Epithelium
  • organism-icon Homo sapiens
  • sample-icon 118 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Full Length HuGeneFL Array (hu6800), Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The apical junctional complex (AJC), composed of tight junctions and adherens junctions, is essential for maintaining epithelial barrier function. Since cigarette smoking and chronic obstructive pulmonary disease (COPD), the major smoking-induced disease, are both associated with increased lung epithelial permeability, we hypothesized that smoking alters the transcriptional program regulating AJC integrity in the small airway epithelium (SAE), the primary site of pathological changes in COPD. Transcriptome analysis revealed a global down-regulation of physiological AJC gene expression in the SAE of healthy smokers (n=53) compared to healthy nonsmokers (n=59), an observation associated with changes in molecular pathways regulating epithelial differentiation such as PTEN signaling and accompanied by induction of cancer-related AJC genes. Genome-wide co-expression analysis identified a smoking-sensitive AJC transcriptional network. The overall expression of AJC-associated genes was further decreased in COPD smokers (n=23). Exposure of human airway epithelial cells to cigarette smoke extract in vitro resulted in down-regulation of several AJC-related genes, accompanied by decreased transepithelial resistance. Thus, cigarette smoking alters the AJC gene expression architecture in the human airway epithelium, providing a molecular basis for the dysregulation of airway epithelial barrier function during the development of smoking-induced lung disease.

Publication Title

Cigarette smoking reprograms apical junctional complex molecular architecture in the human airway epithelium in vivo.

Sample Metadata Fields

Sex, Age

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accession-icon GSE74195
Differential expression and prognostic significant of SOX genes in pediatric medulloblastoma and ependymoma identified by microarray analysis
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This file contains the expression data for pediatric medulloblastomas and ependymomas

Publication Title

Differential expression and prognostic significance of SOX genes in pediatric medulloblastoma and ependymoma identified by microarray analysis.

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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