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accession-icon GSE27546
Effects of HMGN variants on cellular transcription profile
  • organism-icon Mus musculus
  • sample-icon 50 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

HMGN (high mobility group N) is a family of intrinsically disordered nuclear proteins that binds to nucleosomes, alters the structure of chromatin and affects transcription. A major unresolved question is the extent of functional specificity, or redundancy, between the various members of the HMGN protein family.

Publication Title

Effects of HMGN variants on the cellular transcription profile.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE44175
Expression data from mouse embyonic stem cell, neural progenitor and neuron
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The effect of HMGN1 protein on gene expression of mouse ESC, NP and Neurons were investigated by comparing the transcriptome between Hmgn1+/+ and Hmgn1 -/- cells.

Publication Title

HMGN1 modulates nucleosome occupancy and DNase I hypersensitivity at the CpG island promoters of embryonic stem cells.

Sample Metadata Fields

Specimen part

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accession-icon SRP013114
Whole transcriptome profiling of the rat pineal gland using mid-day and mid-night samples (Experiment 2)
  • organism-icon Rattus norvegicus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The rat pineal transcriptome was sequenced using mid-day and mid-night samples to describe the pineal transcriptome and to identify transcripts that exhibit day/night differences in expression.

Publication Title

Circadian changes in long noncoding RNAs in the pineal gland.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE50658
Two faces of polarized macrophages: differential effects of M1 and M2 macrophage subtypes on lung cancer progression
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Macrophages in tumor microenvironment have been characterized as M1- and M2-polarized subtypes. This study sought to investigate the effects of different macrophage subtypes on the biological behavior and global gene expression profiles of lung cancer cells. Expression microarray and bioinformatics analyses indicated that the different macrophage subtypes mainly regulated genes involved in cell cycle, cytoskeletal remodeling, coagulation, cell adhesion and apoptosis pathways in A549 cells, a pattern that correlated with the altered behavior of A549 cells observed after coculture with macrophage subtypes.

Publication Title

Opposite Effects of M1 and M2 Macrophage Subtypes on Lung Cancer Progression.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE16014
Expression data from effects of Ganoderma lucidum polysaccharides F3 on human monocytic leukemia cell line THP-1
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

In order to identify patterns of gene expression associated with biological effects in THP-1 cells induced by F3, we performed a transcriptomic analysis on the THP-1 control and F3-treated THP-1 cells by oligonucleotide microarray

Publication Title

Ganoderma lucidum polysaccharides in human monocytic leukemia cells: from gene expression to network construction.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE59051
Expression data from of HD-iPSC and CON-iPSC neuron derivatives
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Compared the global gene expression profiles of HD- and CON-iPSC-derived neurons

Publication Title

Elucidating the role of the A2A adenosine receptor in neurodegeneration using neurons derived from Huntington's disease iPSCs.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE38678
Cancer-Associated Fibroblasts Support Lung Cancer Stemness through Paracrine IGF-II/IGF1R/Nanog Signaling
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The CLS1/CAF co-culture maintained the cancer stemness. This cancer stemness was lost when the CAF feeder cells were removed during passaging.

Publication Title

Cancer-associated fibroblasts regulate the plasticity of lung cancer stemness via paracrine signalling.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE44722
Transcriptional specialization of human dendritic cell subsets in response to microbial vaccines
  • organism-icon Homo sapiens
  • sample-icon 351 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip, Illumina HumanHT-12 V3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Transcriptional specialization of human dendritic cell subsets in response to microbial vaccines.

Sample Metadata Fields

Specimen part, Subject, Time

View Samples
accession-icon GSE44721
IL4 DCs and monocytes stimulated by 13 human vaccines and LPS for 6hr
  • organism-icon Homo sapiens
  • sample-icon 128 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip, Illumina HumanHT-12 V4.0 expression beadchip

Description

While dendritic cells (DCs) are known to play a major role in the process of vaccination, the mechanisms by which vaccines induce protective immunity in humans remain elusive. Herein, we used gene microarrays to characterize the transcriptional programs induced over time in human monocyte-derived DCs (moDCs) in vitro in response to influenza H1N1 Brisbane, Salmonella enterica and Staphylococcus aureus. We built a data-driven modular analytical framework focused on 204 pathogen-induced gene clusters. The expression of these modules was analyzed in response to 16 well-defined ligands, targeting TLRs, cytoplasmic PAMP receptors and cytokine receptors. This multi-dimensional framework covers the major biological functions of APC, including the IFN response, inflammation, DC maturation, T cell activation, antigen processing, cell motility and histone regulation. This framework was used to characterize the response of monocytes and moDCs to 14 commercially available vaccines. These vaccines displayed quantitatively and qualitatively distinct modular signatures in monocytes and DCs, in particular Fluzone and Pneumovax, highlighting the functional and phenotypic differences between APC subsets. This modular framework allows the application of systems immunology approaches to study early transcriptional changes in human APC subsets in response to pathogens and vaccines, which might guide the development of improved vaccines.

Publication Title

Transcriptional specialization of human dendritic cell subsets in response to microbial vaccines.

Sample Metadata Fields

Specimen part, Subject, Time

View Samples
accession-icon GSE44720
IFNa DCs and IL4 DCs exposed to H1N1, heat killed S. aureus, or heat killed S. enterica (HKSE) for 1h, 2h, 6h, 12h, or 24h
  • organism-icon Homo sapiens
  • sample-icon 120 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip, Illumina HumanHT-12 V4.0 expression beadchip

Description

While dendritic cells (DCs) are known to play a major role in the process of vaccination, the mechanisms by which vaccines induce protective immunity in humans remain elusive. Herein, we used gene microarrays to characterize the transcriptional programs induced over time in human monocyte-derived DCs (moDCs) in vitro in response to influenza H1N1 Brisbane, Salmonella enterica and Staphylococcus aureus. We built a data-driven modular analytical framework focused on 204 pathogen-induced gene clusters. The expression of these modules was analyzed in response to 16 well-defined ligands, targeting TLRs, cytoplasmic PAMP receptors and cytokine receptors. This multi-dimensional framework covers the major biological functions of APC, including the IFN response, inflammation, DC maturation, T cell activation, antigen processing, cell motility and histone regulation. This framework was used to characterize the response of monocytes and moDCs to 14 commercially available vaccines. These vaccines displayed quantitatively and qualitatively distinct modular signatures in monocytes and DCs, in particular Fluzone and Pneumovax, highlighting the functional and phenotypic differences between APC subsets. This modular framework allows the application of systems immunology approaches to study early transcriptional changes in human APC subsets in response to pathogens and vaccines, which might guide the development of improved vaccines.

Publication Title

Transcriptional specialization of human dendritic cell subsets in response to microbial vaccines.

Sample Metadata Fields

Specimen part, Subject, Time

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)

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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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