refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 316 results
Sort by

Filters

Organism

Technology

Platform

accession-icon GSE21463
NRG1/ERBB3 signaling in melanocyte Melan-Ink4a cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Neuregulin (NRG) signaling through the receptor tyrosine kinase, ERBB3, is required for embryonic development, and dysregulated signaling has been associated with cancer progression. Here, we show that NRG1/ERBB3 signaling inhibits melanocyte (MC) maturation and promotes undifferentiated, migratory and proliferative cellular characteristics. Embryonic analyses demonstrated that initial MC specification and distribution were not dependent on ERBB3 signaling. However NRG1/ERBB3 signaling was both necessary and sufficient to inhibit differentiation of later stages of MC development in culture. Analysis of tissue arrays of human melanoma samples suggests that ERBB3 signaling may also contribute to metastatic progression of melanoma as ERBB3 was phosphorylated in primary tumors compared with nevi or metastatic lesions. Neuregulin 1-treated MCs demonstrated increased proliferation and invasion and altered morphology concomitant with decreased levels of differentiation genes, increased levels of proliferation genes and altered levels of melanoma progression and metastases genes. ERBB3 activation in primary melanomas suggests that NRG1/ERBB3 signaling may contribute to the progression of melanoma from benign nevi to malignancies. We propose that targeting ERBB3 activation and downstream genes identified in this study may provide novel therapeutic interventions for malignant melanoma.

Publication Title

NRG1 / ERBB3 signaling in melanocyte development and melanoma: inhibition of differentiation and promotion of proliferation.

Alternate Accession IDs

E-GEOD-21463

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE56717
Expression data from human metastatic melanoma cell lines
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The genetic changes underlying metastatic melanoma need to be deciphered to develop new and effective therapeutics. Previously, genome-wide microarray analyses of human melanoma identified two reciprocal gene expression programs, that included expression of mRNAs regulated by either transforming growth factor, beta 1 (TGFB1) pathways or microphthalmia-associated transcription factor (MITF)/SRY-box containing gene 10 (SOX10) pathways. We extend this knowledge to include gene expression analyses of 5 additional human melanoma lines, and show that these lines also fall into either TGFB1 or MITF/SOX10 gene expression groups.

Publication Title

Distinct microRNA expression signatures are associated with melanoma subtypes and are regulated by HIF1A.

Alternate Accession IDs

E-GEOD-56717

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE30483
Tissue-specific genetic regulation of splicing and expression
  • organism-icon Homo sapiens
  • sample-icon 343 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

Tissue-specific genetic control of splicing: implications for the study of complex traits.

Alternate Accession IDs

E-GEOD-30483

Sample Metadata Fields

Sex, Age

View Samples
accession-icon GSE30422
Tissue-specific genetic regulation of splicing and expression (exon-level)
  • organism-icon Homo sapiens
  • sample-icon 172 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Numerous genome-wide screens for polymorphisms that influence gene expression have provided key insights into the genetic control of transcription. Despite this work, the relevance of specific polymorphisms to in vivo expression and splicing remains unclear. We carried out the first genome-wide screen, to our knowledge, for SNPs that associate with alternative splicing and gene expression in human primary cells, evaluating 93 autopsy-collected cortical brain tissue samples with no defined neuropsychiatric condition and 80 peripheral blood mononucleated cell samples collected from living healthy donors. We identified 23 high confidence associations with total expression and 80 with alternative splicing as reflected by expression levels of specific exons. Fewer than 50% of the implicated SNPs however show effects in both tissue types, reflecting strong evidence for distinct genetic control of splicing and expression in the two tissue types. The data generated here also suggest the possibility that splicing effects may be responsible for up to 13 out of 84 reported genome-wide significant associations with human traits. These results emphasize the importance of establishing a database of polymorphisms affecting splicing and expression in primary tissue types and suggest that splicing effects may be of more phenotypic significance than overall gene expression changes.

Publication Title

Tissue-specific genetic control of splicing: implications for the study of complex traits.

Alternate Accession IDs

E-GEOD-30422

Sample Metadata Fields

Sex, Age

View Samples
accession-icon GSE30453
Tissue-specific genetic regulation of splicing and expression (gene-level)
  • organism-icon Homo sapiens
  • sample-icon 171 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Numerous genome-wide screens for polymorphisms that influence gene expression have provided key insights into the genetic control of transcription. Despite this work, the relevance of specific polymorphisms to in vivo expression and splicing remains unclear. We carried out the first genome-wide screen, to our knowledge, for SNPs that associate with alternative splicing and gene expression in human primary cells, evaluating 93 autopsy-collected cortical brain tissue samples with no defined neuropsychiatric condition and 80 peripheral blood mononucleated cell samples collected from living healthy donors. We identified 23 high confidence associations with total expression and 80 with alternative splicing as reflected by expression levels of specific exons. Fewer than 50% of the implicated SNPs however show effects in both tissue types, reflecting strong evidence for distinct genetic control of splicing and expression in the two tissue types. The data generated here also suggest the possibility that splicing effects may be responsible for up to 13 out of 84 reported genome-wide significant associations with human traits. These results emphasize the importance of establishing a database of polymorphisms affecting splicing and expression in primary tissue types and suggest that splicing effects may be of more phenotypic significance than overall gene expression changes.

Publication Title

Tissue-specific genetic control of splicing: implications for the study of complex traits.

Alternate Accession IDs

E-GEOD-30453

Sample Metadata Fields

Sex, Age

View Samples
accession-icon GSE86555
Identification of hypoxia-induced HIF1A targets in melanocytes reveals a molecular profile associated with poor prognosis for melanoma
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Hypoxia-induced HIF1α targets in melanocytes reveal a molecular profile associated with poor melanoma prognosis.

Alternate Accession IDs

E-GEOD-86555

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE86553
Identification of hypoxia-induced HIF1A targets in melanocytes reveals a molecular profile associated with poor prognosis for melanoma [gene expression]
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

These datasets describe a melanocyte specific, HIF1A-Dependent / Hypoxia-Responsive gene expression signature defined by the regulation of genes critical to metabolism, chromatin and transcriptional regulation, vascularization and cellular invasivness. These genes provide lineage specific targets for refinement of diagnostic markers associated with primary melanoma tumor metastatic potential, and also provides novel molecular targets for therapeutic strategies targeting metastatic disease progression.

Publication Title

Hypoxia-induced HIF1α targets in melanocytes reveal a molecular profile associated with poor melanoma prognosis.

Alternate Accession IDs

E-GEOD-86553

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon SRP073208
A Reproducibility-Based Computational Framework Identifies An Inducible, Enhanced Antiviral Dendritic Cell State In HIV-1 Elite Controllers (scRNA-Seq)
  • organism-icon Homo sapiens
  • sample-icon 391 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Human immunity relies on the coordinated responses of many cellular subsets and functional states. Inter-individual variations in cellular composition and communication could thus potentially alter host protection. Here, we explore this hypothesis by applying single-cell RNA-Seq to examine viral responses among the dendritic cells (DCs) of three elite controllers (ECs) of HIV-1 infection. We discover a highly functional antiviral DC state in ECs whose fractional abundance after in vitro exposure to HIV-1 correlates with higher CD4+ T cell counts and lower HIV-1 viral loads, and that effectively primes polyfunctional T cell responses in vitro. We identify and validate select immunomodulators that increase the fractional abundance of this state in primary peripheral blood mononuclear cells (PBMCs) from healthy individuals in vitro. Overall design: Single-cell RNA-seq profiling of HIV-1-exposed cDCs and media controls from 3 elite controllers used to identify reproducible gene expression programs associated with cell-intrinsic HIV-1 immune recognition.

Publication Title

A Reproducibility-Based Computational Framework Identifies an Inducible, Enhanced Antiviral State in Dendritic Cells from HIV-1 Elite Controllers.

Alternate Accession IDs

GSE80212

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP130907
A Reproducibility-Based Computational Framework Identifies An Inducible, Enhanced Antiviral Dendritic Cell State In HIV-1 Elite Controllers (Sorted Bulk RNA-Seq)
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Human immunity relies on the coordinated responses of many cellular subsets and functional states. Inter-individual variations in cellular composition and communication could thus potentially alter host protection. Here, we explore this hypothesis by applying single-cell RNA-Seq to examine viral responses among the dendritic cells (DCs) of three elite controllers (ECs) of HIV-1 infection. We discover a highly functional antiviral DC state in ECs whose fractional abundance after in vitro exposure to HIV-1 correlates with higher CD4+ T cell counts and lower HIV-1 viral loads, and that effectively primes polyfunctional T cell responses in vitro. We identify and validate select immunomodulators that increase the fractional abundance of this state in primary peripheral blood mononuclear cells (PBMCs) from healthy individuals in vitro. Overall design: Bulk RNA-seq profiling of sorted cDC subsets associated with cell-intrinsic HIV-1 immune recognition.

Publication Title

A Reproducibility-Based Computational Framework Identifies an Inducible, Enhanced Antiviral State in Dendritic Cells from HIV-1 Elite Controllers.

Alternate Accession IDs

GSE108443

Sample Metadata Fields

Subject, Time

View Samples
accession-icon SRP127395
A Reproducibility-Based Computational Framework Identifies An Inducible, Enhanced Antiviral Dendritic Cell State In HIV-1 Elite Controllers (TLR perturbation Bulk RNA-Seq)
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Human immunity relies on the coordinated responses of many cellular subsets and functional states. Inter-individual variations in cellular composition and communication could thus potentially alter host protection. Here, we explore this hypothesis by applying single-cell RNA-Seq to examine viral responses among the dendritic cells (DCs) of three elite controllers (ECs) of HIV-1 infection. We discover a highly functional antiviral DC state in ECs whose fractional abundance after in vitro exposure to HIV-1 correlates with higher CD4+ T cell counts and lower HIV-1 viral loads, and that effectively primes polyfunctional T cell responses in vitro. We identify and validate select immunomodulators that increase the fractional abundance of this state in primary peripheral blood mononuclear cells (PBMCs) from healthy individuals in vitro. Overall design: Bulk RNA-seq profiling of TLR-perturbed cDCs and controls from a healthy donor for comparison with gene expression programs associated with cell-intrinsic HIV-1 immune recognition.

Publication Title

A Reproducibility-Based Computational Framework Identifies an Inducible, Enhanced Antiviral State in Dendritic Cells from HIV-1 Elite Controllers.

Alternate Accession IDs

GSE108444

Sample Metadata Fields

Subject, Time

View Samples
...

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

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact
Version 1.42.67-hotfix - .0.0