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accession-icon GSE67838
Identification of post-transcriptional regulatory networks during myeloblast-to-monocyte differentiation transition
  • organism-icon Homo sapiens
  • sample-icon 18 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

Identification of post-transcriptional regulatory networks during myeloblast-to-monocyte differentiation transition.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE67826
Identification of post-transcriptional regulatory networks during myeloblast-to-monocyte differentiation transition [mRNA]
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Treatment of leukemia cells with 1,25-dihydroxyvitamin D3 may overcome their differentiation block and lead to the transition from myeloblasts to monocytes. To identify microRNA-mRNA networks relevant for myeloid differentiation, we profiled the expression of mRNAs and microRNAs associated to the low- and high-density ribosomal fractions in leukemic cells and in their differentiated monocytic counterpart. Intersection between mRNAs shifted across the fractions after treatment with putative target genes of modulated microRNAs showed a series of molecular networks relevant for the monocyte cell fate determination

Publication Title

Identification of post-transcriptional regulatory networks during myeloblast-to-monocyte differentiation transition.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE69079
Expression data of sleeping, waking, and sleep deprived adult heterozygous aldh1l1 eGFP-L10a mice
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Transcriptomic studies revealed that hundreds of mRNAs show differential expression in the brains of sleeping versus awake rats, mice, flies, and sparrows. Although these results have offered clues regarding the molecular consequences of sleep and sleep loss, their functional significance thus far has been limited. This is because the previous studies pooled transcripts from all brain cells, including neurons and glia.

Publication Title

Transcriptome profiling of sleeping, waking, and sleep deprived adult heterozygous Aldh1L1 - eGFP-L10a mice.

Sample Metadata Fields

Disease

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accession-icon GSE33728
Melanoma cell culture phenotypes
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Systematic classification of melanoma cells by phenotype-specific gene expression mapping.

Sample Metadata Fields

Cell line

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accession-icon GSE48369
Expression data of sleeping, waking, and sleep deprived in adult heterozygous Cnp eGFP-L10a mice
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Transcriptomic studies revealed that hundreds of mRNAs show differential expression in the brains of sleeping versus awake rats, mice, flies, and sparrows. Although these results have offered clues regarding the molecular consequences of sleep and sleep loss, their functional significance thus far has been limited. This is because the previous studies pooled transcripts from all brain cells, including neurons and glia.

Publication Title

Effects of sleep and wake on oligodendrocytes and their precursors.

Sample Metadata Fields

Specimen part

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accession-icon GSE35679
lung carcinoid
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Global gene expression of 13 frozen samples, 6 from typical and 7 from atypical surgically resected primary lung carcinoids

Publication Title

Gene expression profiling reveals GC and CEACAM1 as new tools in the diagnosis of lung carcinoids.

Sample Metadata Fields

Sex

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accession-icon GSE65502
Tenascin-C Protects Cancer Stem-Like Cells from Immune Surveillance
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Precociously disseminated cancer cells may seed quiescent sites of future metastasis if they can protect themselves from immune surveillance. However, there is little knowledge about how such sites might be achieved. Here we present evidence that prostate cancer stem-like cells (CSC) can be found in histopathologically negative prostate draining lymph nodes (PDLN) in mice harboring oncogene-driven prostate intraepithelial neoplasia (mPIN). PDLN-derived CSC were phenotypically and functionally identical to CSC obtained from mPIN lesions, but distinct from CSCs obtained from frank prostate tumors. CSC derived from either PDLN or mPIN used the extracellular matrix protein Tenascin-C (TNC) to inhibit T cell receptor-dependent T cell activation, proliferation and cytokine production. Mechanistically, TNC interacted with 51 integrin on the cell surface of T cells, inhibiting reorganization of the actin-based cytoskeleton therein required for proper T cell activation. CSC from both PDLN and mPIN lesions also expressed CXCR4 and migrated in response to its ligand CXCL12, which was overexpressed in PDLN upon mPIN development. CXCR4 was critical for the development of PDLN-derived CSC, as in vivo administration of CXCR4 inhibitors prevented establishment in PDLN of an immunosuppressive microenvironment. Taken together, our work establishes a pivotal role for TNC in tuning the local immune response to establish equilibrium between disseminated nodal CSC and the immune system.

Publication Title

Tenascin-C Protects Cancer Stem-like Cells from Immune Surveillance by Arresting T-cell Activation.

Sample Metadata Fields

Specimen part

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accession-icon GSE57463
SOX9 overexpression in melanoma
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

SOX9 is generally not expressed in melanomas with a high proliferative capacity but is expressed in melanomas with a high invasive capacity. Here we overexpress full length SOX9 in M010817, a melanoma cell culture with high proliferative capacity but low invasive capacity.

Publication Title

Methylation-dependent SOX9 expression mediates invasion in human melanoma cells and is a negative prognostic factor in advanced melanoma.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE94359
Gene expression profiling of CD45+ leukocytes infiltrating the prostate of TRAMP and TRAMP-J18-/- (iNKT cell-deficient) mice
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

To investigate the impact of the iNKT cells on the tumor-infiltrating leukocytes in TRAMP mouse prostate cancer.

Publication Title

Bimodal CD40/Fas-Dependent Crosstalk between iNKT Cells and Tumor-Associated Macrophages Impairs Prostate Cancer Progression.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE71436
Gene expression profiling of prostate infiltrating hematopoietic cells in TRAMP mice subjected to immunotherapy
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Goal of the analysis was to identify the mechansisms accounting fo the synergy of T cells redirected to the tumor associated large T antigen and T cells redirected to the Uty minor histocompatibility antigen

Publication Title

T Cells Redirected to a Minor Histocompatibility Antigen Instruct Intratumoral TNFα Expression and Empower Adoptive Cell Therapy for Solid Tumors.

Sample Metadata Fields

Specimen part, Treatment

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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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