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accession-icon GSE87805
Characterization of functional reprogramming during osteoclast development using quantitative proteomics and mRNA profiling
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 R2 expression beadchip

Description

The innate immune system is the organisms first line of defense against pathogens. Pattern recognition receptors (PRRs) are responsible for sensing the presence of pathogen-associated molecules. The prototypic PRRs, the membrane-bound receptors of the Toll-like receptor (TLR) family, recognize pathogen-associated molecular patterns (PAMPs) and initiate an innate immune response through signaling pathways that depend on the adaptor molecules MyD88 and TRIF. Deciphering the differences in the complex signaling events that lead to pathogen recognition and initiation of the correct response remains challenging. Here we report the discovery of temporal changes in the protein signaling components involved in innate immunity. Using an integrated strategy combining unbiased proteomics, transcriptomics and macrophage stimulations with three different PAMPs, we identified differences in signaling between individual TLRs and revealed specifics of pathway regulation at the protein level. In addition to forming macrophages and dendritic cells, monocytes in adult peripheral blood retain the ability to develop into osteoclasts, mature bone-resorbing cells. The extensive morphological and functional transformations that occur during osteoclast differentiation require substantial reprogramming of gene and protein expression. Here we employ -omic-scale technologies to examine in detail the molecular changes at discrete developmental stages in this process (precursor cells, intermediate osteoclasts, and multinuclear osteoclasts), quantitatively comparing their transcriptomes and proteomes.

Publication Title

Characterization of functional reprogramming during osteoclast development using quantitative proteomics and mRNA profiling.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE21138
Gene Expression Profiles in BA46 of Subjects with Schizophrenia and Matched Controls
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Results from clinical and imaging studies provide evidence for changes in schizophrenia with disease progression, however, the underlying molecular differences that may occur at different stages of illness have not been investigated. To test the hypothesis that the molecular basis for schizophrenia changes from early to chronic illness, we profiled genome-wide expression patterns in prefrontal cortex of schizophrenic subjects at different stages of illness, along with their age- and sex-matched controls. Results show that gene expression profiles change dramatically depending on the stage of illness, whereby the greatest number and magnitude of gene expression differences were detected in subjects with short-term illness ( 4 years from diagnosis). Comprehensive pathways analyses revealed that each defined stage of illness was associated with dysfunction in both distinct, as well as overlapping systems. Short-term illness was particularly associated with disruptions in gene transcription, metal ion binding, RNA processing and vesicle-mediated transport. In contrast, long-term illness was associated with inflammation, stimulus-response and immune functions. We validated expression differences of 12 transcripts associated with these various functions by real-time PCR analysis. While only four genes, SAMSN1, CDC42BPB, DSC2 and PTPRE, were consistently expressed across all groups, there was dysfunction in overlapping systems among all stages, including cellular signal transduction, lipid metabolism and protein localization. Our results demonstrate that the molecular basis for schizophrenia changes from early to chronic stages, providing evidence for a changing nature of schizophrenia with disease progression.

Publication Title

Molecular profiles of schizophrenia in the CNS at different stages of illness.

Sample Metadata Fields

Sex, Age

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accession-icon GSE42346
Expression data from murine bone marrow erythroid progenitor cells at two early stages of development.
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This study was designed to define erythropoietin (EPO) regulated genes in murine bone marrow erythroid progenitor cells at two stages of development, designated E1, and E2. E1 cells correspond to CFUe- like progenitors, while E2 cells are proerythroblasts.

Publication Title

Defining an EPOR- regulated transcriptome for primary progenitors, including Tnfr-sf13c as a novel mediator of EPO- dependent erythroblast formation.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon SRP091012
Intersectionally labeled Drd2-Pet1 single-neuron RNA-seq
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Single-neuron transcriptome profiles of Dorsal Raphe neurons marked by a history of expression of Drd2::Cre and Pet1::Flpe (GFP+), as well as Dorsal Raphe neurons marked by a history of Pet1::Flpe expression only (mCherry+). Overall design: GFP and mCherry expressing neurons from triple transgenic Drd2::Cre;Pet1::Flpe;RC:FrePe mice were acutely dissociated, manually sorted, and single-neuron RNA-seq was performed (17 GFP+ cells, 8 mCherry+ cells).

Publication Title

Identification of Serotonergic Neuronal Modules that Affect Aggressive Behavior.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE64194
Expression data to investigate Costello syndrome using human iPSCs differentiated into astroglial progenitors and astrocytes
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We used microarrays to compare gene expression between three HRAS-wild type lines (13, 162d, 165d) and three HRAS-G12S mutant lines (7, 8, 16).

Publication Title

Dysregulation of astrocyte extracellular signaling in Costello syndrome.

Sample Metadata Fields

Specimen part

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accession-icon GSE6311
SOX13 regulated genes in CD4+CD8+ double positive thymocytes
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine 11K SubA Array (mu11ksuba)

Description

ab and gd T cells originate from a common, multi-potential precursor population in the thymus, but the molecular mechanisms regulating this lineage fate decision process are unknown. We have identified Sox13 as a gd-specific gene in the immune system. Using Sox13 transgenic mice, we show that SOX13 promotes gd T cell development while opposing ab T cell differentiation. Conversely, mice deficient in Sox13 expression exhibited impaired development of gd T cells, but not ab T cells. One mechanism of SOX13 function is the inhibition of WNT/TCF signaling, suggesting that differential WNT/TCF activity is an essential parameter for this binary cell fate choice.

Publication Title

Regulation of gammadelta versus alphabeta T lymphocyte differentiation by the transcription factor SOX13.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE81001
Effect of BORIS depletion on transcriptome of breast cancer cell line MCF7
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Transcriptome analysis of BORIS depleted MCF7 cells

Publication Title

Intragenic DNA methylation and BORIS-mediated cancer-specific splicing contribute to the Warburg effect.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE37580
Identification of differentially expressed genes upon treatment with Eltrombopag in HL60 cells
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Identification of differentially expressed genes upon treatment with Eltrombopag in HL60 cells. HL60 cells were untreated, or treated with 3ug/ml of Eltrombopag for 36 hrs in RPMI with 10% FBS

Publication Title

Eltrombopag inhibits the proliferation of leukemia cells via reduction of intracellular iron and induction of differentiation.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE9750
Identification of gene expression profiles in cervical cancer
  • organism-icon Homo sapiens
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This study is aimed in identification of gene expression profiles in cervical cancer and the role of specific genes in cervical carcinogenesis.

Publication Title

Identification of copy number gain and overexpressed genes on chromosome arm 20q by an integrative genomic approach in cervical cancer: potential role in progression.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE57440
Expression analysis of neurospheres generated in vitro
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Neurospheres generated in vitro were treated with non-epinephrine or potassium chloride. Gene expression analysis was then carried out to identify genes that are up or down regulated due to chemical treatement.

Publication Title

A comparative study of techniques for differential expression analysis on RNA-Seq data.

Sample Metadata Fields

Sex, 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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