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accession-icon GSE44636
LMO3 is a novel regulator of adipogenesis
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Human but not mouse adipogenesis is critically dependent on LMO3.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE41712
Expression data from mock- or LMO3 silenced differentiating adipose stem cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

In this study we aimed to gain further insight on the role of GCs in adipocyte differentiation. For the future drugability of candidate targets it is of utmost importance to find factors relevant to human biology. Thus, we analyzed the transcriptome of GC induced primary human adipose stem cells (hASC) to identify novel factors downstream of GC action

Publication Title

Human but not mouse adipogenesis is critically dependent on LMO3.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE44626
Expression data from mock- or LMO3-silenced human preadipocytes isolated from SAT or VAT
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

In this study, we aimed to gain further insight on the role of glucocorticoids (GCs) in adipocyte differentiation. For the future drugability of candidate targets, it is of utmost importance to find factors relevant to human biology. Thus, we analyzed the transcriptome of GC-induced primary human adipose stem cells (hASCs) isolated from paired subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) to identify novel factors downstream of GC action.

Publication Title

Human but not mouse adipogenesis is critically dependent on LMO3.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE41683
Expression data from dexamethsone-treated human adipose stem cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

In this study we aimed to gain further insight on the role of GCs in adipocyte differentiation. For the future drugability of candidate targets it is of utmost importance to find factors relevant to human biology. Thus, we analyzed the transcriptome of GC induced primary human adipose stem cells (hASC) to identify novel factors downstream of GC action

Publication Title

Human but not mouse adipogenesis is critically dependent on LMO3.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE107870
Expression data from human macrophages treate with miR-1246 mimic/inhibitor
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Clariom S Human array (clariomshuman)

Description

MiR-1246 was found to promote tumorigenesis and metastasis in sevearl cancer types. In the context of tumor microenvironment, tumor-associated macrophages are a central part typically correlated with poor prognosis.

Publication Title

Mutant p53 cancers reprogram macrophages to tumor supporting macrophages via exosomal miR-1246.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE65503
Radiation and Dual Checkpoint Blockade Activates Non-Redundant Mechanisms in Cancer
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Response to immune checkpoint inhibitors may be improved through combinations with each other and other therapies, raising questions about non-redundancy and resistance. We report results from parallel studies of melanoma patients and mice treated with anti-CTLA4 and radiation (RT). Although combined treatment improved responses, resistance was common. Computational analyses of immune and transcriptomic profiles (provided here) revealed that resistance in mice was due to upregulation of tumor PD-L1 that drives T cell exhaustion. Accordingly, optimal response requires RT, anti-CTLA4, and anti-PD-L1. Anti-CTLA4 inhibits Tregs, RT diversifies and shapes the TCR repertoire, and anti-PD-L1 reinvigorates exhausted T cells. Together, all three therapies promote the expansion of clonotypes with distinct TCR traits. Similar to mice, patients with melanoma showing high PD-L1 did not respond to RT + anti-CTLA4, demonstrated persistent T cell exhaustion, and rapidly progressed. Thus, the combination of RT, anti-CTLA4, and anti-PD-L1 promotes response through distinct mechanisms.

Publication Title

Radiation and dual checkpoint blockade activate non-redundant immune mechanisms in cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE37693
Gene Expression Effects of IL-13 on Primary Human Airway Epithelial Cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

Primary culture airway epithelial cells, grown under physiologic air-liquid interface conditions, with, or without IL-13 in order to study the effects of this cytokine on mucous cell metaplasia, an important feature of asthma and COPD.

Publication Title

IL-13-induced airway mucus production is attenuated by MAPK13 inhibition.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE64333
MicroRNA and Gene expression profiling of the prostate biopsy samples from African American and European American prostate cancer patients
  • organism-icon Homo sapiens
  • sample-icon 105 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identification and Functional Validation of Reciprocal microRNA-mRNA Pairings in African American Prostate Cancer Disparities.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE71781
Gene expression profiling of the prostate biopsy samples (cancer and adjacent normal tissues) from African American prostate cancer patients
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Prostate cancer (PCa) tends to be more aggressive and lethal in African Americans (AA) compared to European Americans (EA). To further understand the biological factors accounting for the PCa disparities observed in AA and EA patients, we performed gene profiling using Affymetrix human exon 1.0 ST arrays to identify the differentially expressed genes beween AA cancer and patient matched normal tissues.

Publication Title

Identification and Functional Validation of Reciprocal microRNA-mRNA Pairings in African American Prostate Cancer Disparities.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE64331
Gene expression profiling of the prostate biopsy samples from African American and European American prostate cancer patients
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Prostate cancer (PCa) tends to be more aggressive and lethal in African Americans (AA) compared to European Americans (EA). To further understand the biological factors accounting for the PCa disparities observed in AA and EA patients, we performed gene profiling analysis using Affymetrix human exon 1.0 ST arrays to identify the differentially expressed genes in AA and EA patients.

Publication Title

Identification and Functional Validation of Reciprocal microRNA-mRNA Pairings in African American Prostate Cancer Disparities.

Sample Metadata Fields

Specimen part

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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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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