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accession-icon GSE103399
Gene expression data of proliferative cells isolated from the adult human peripheral retina, cultured and differentiated
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Proliferative cells isolated from the adult human peripheral retina only transiently upregulate key retinal markers upon induced differentiation.

Publication Title

Proliferative Cells Isolated from the Adult Human Peripheral Retina only Transiently Upregulate Key Retinal Markers upon Induced Differentiation.

Sample Metadata Fields

Specimen part, Time

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accession-icon SRP081599
DNA methylation in lung cells is a key modulator of asthma endotypes and genetic risk [RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 85 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We generated genome-wide RNASeq data from freshly isolated airway epithelial cells of asthmatics and non-asthmatics. This data was paired with genome-wide genetic and methylation data from the same individuals allowing for an integrated analysis of genetic, transcriptional, and epigenetic signatures in asthma. Overall design: examination of genome-wide genome-wide gene expression levels and comparison to phenotypes

Publication Title

DNA methylation in lung cells is associated with asthma endotypes and genetic risk.

Sample Metadata Fields

Specimen part, Disease, Subject

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accession-icon GSE12604
Comparison of corneal and conjunctival keratinocyte clones
  • organism-icon Sus scrofa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Integrity of the cornea, the most anterior part of the eye is indispensable for vision. 45 million individuals are bilaterally blind and another 135 millions have severely impaired vision in both eyes because of loss of corneal transparency; treatments range from local medications to corneal transplants and more recently to stem cell therapy. The corneal epithelium is a squamous epithelium that is constantly renewing with a vertical turnover of seven to fourteen days in many mammals3. Identification of slow cycling cells (label-retaining cells or LRCs) in the limbus of the mouse has led to the notion that the limbus is the niche for the stem cells responsible for the long-term renewal of the cornea4; hence, the corneal epithelium is supposedly renewed by cells generated at and migrating from the limbus, in striking opposition to other squamous epithelia in which each resident stem cell has in charge a limited area of epithelium. Here, we show that the corneal epithelium of the mouse can be serially transplanted, is self-maintained and contains oligopotent stem cells with the capacity to generate goblet cells if provided with a conjunctival environment. In addition, the entire ocular surface of the pig, including the cornea, contains oligopotent stem cells (holoclones) with the capacity to generate individual colonies of corneal and conjunctival cells; hence, the limbus is not the only niche for corneal stem cells and corneal renewal is not different from other squamous epithelia.

Publication Title

Oligopotent stem cells are distributed throughout the mammalian ocular surface.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE21546
The role of Ternary Complex factors in T-cell Positive Selection
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Removal of the transcription factor SAP1a member of the Ternary Complex Factor (TCF) group of transcription factors which in conjunction with Serum Response Factor (SRF) has been shown to have a profound effect on positive selection in the thymus. When another TCF Elk1 is knocked out in mice there is no effect on positive selection unless it is on a Sap1a KO background where the phenotype is very severe. We have stimulated isolated double positive T cells (DPs) with anti-CD3 to mimic positive selection and compared basal and stimulated transcription across the four genotypes to discover the downstream targets of Sap1a involved in positive selection.

Publication Title

Ternary complex factors SAP-1 and Elk-1, but not net, are functionally equivalent in thymocyte development.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

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accession-icon GSE13590
Experimental identification of microRNA-140 targets by silencing and overexpressing miR-140
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

MicroRNAs (miRNAs) are short noncoding RNA molecules regulating the expression of mRNAs. Target identification of miRNAs is computationally difficult due to the relatively low homology between miRNAs and their targets. We present here an experimental approach to target identification where the cartilage-specific miR-140 was overexpressed and silenced in cells it is normally expressed in separate experiments. Expression of mRNAs was profiled in both experiments and the intersection of mRNAs repressed by miR-140 overexpression and derepressed by silencing of miR-140 was identified. The intersection contained only 49 genes, although both treatments affected the accumulation of hundreds of mRNAs. These 49 genes showed a very strong enrichment for the miR-140 seed sequence implying that the approach is efficient and specific. 21 of these 49 genes were predicted to be direct targets based on the presence of the seed sequence. Interestingly, none of these were predicted by the published target prediction methods we used. One of the potential target mRNAs, Cxcl12, was experimentally validated by Northern blot analysis and a luciferase reporter assay.

Publication Title

Experimental identification of microRNA-140 targets by silencing and overexpressing miR-140.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP038922
RNA-seq study of major P.aeruginosa PA14 transcription factors
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx, Illumina HiSeq 2500

Description

Gene regulation via transcription factors influences the metabolic, adaptive and pathogenic capabilities of the organism. We report the transcriptomes of the mutants of six major P. aeruginosa PA14 trancription factors - RhlR, LasR, Anr, GacA, FleQ and CbrB. Overall design: The P. aeruginosa PA14 transposon mutants were analyzed by RNA-seq. All samples were cultivated in LB medium until reaching an OD600 of 2.0. For each biological replicate, three cultures were pooled for RNA extraction, library preparation and sequencing.

Publication Title

Functional modules of sigma factor regulons guarantee adaptability and evolvability.

Sample Metadata Fields

Subject

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accession-icon GSE33550
Reverse engineering of TLX oncogenic transcriptional networks identifies RUNX1 as tumor suppressor in T-ALL
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The TLX1 and TLX3 transcription factor oncogenes play an important role in the pathogenesis of T-cell acute lymphoblastic leukemia (T-ALL)1,2. Here we used reverse engineering of global transcriptional networks to decipher the oncogenic regulatory circuit controlled by TLX1 and TLX3. This Systems Biology analysis defined TLX1 and TLX3 as master regulators of an oncogenic transcriptional circuit governing T-ALL. Notably, network structure analysis of this hierarchical network identified RUNX1 as an important mediator of TLX1 and TLX3 induced T-ALL, and predicted a tumor suppressor role for RUNX1 in T-cell transformation. Consistent with these results, we identified recurrent somatic loss of function mutations in RUNX1 in human T-ALL. Overall, these results place TLX1 and TLX3 atop of an oncogenic transcriptional network controlling leukemia development, demonstrate power of network analysis to identify key elements in the regulatory circuits governing human cancer and identify RUNX1 as a tumor suppressor gene in T-ALL.

Publication Title

Disregulated expression of the transcription factor ThPOK during T-cell development leads to high incidence of T-cell lymphomas.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE33549
Expression data from mouse T-cell lymphomas
  • organism-icon Mus musculus
  • sample-icon 59 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Transgenic expression of key transcritpion factors inducing T-cell leukemias in mice.

Publication Title

Disregulated expression of the transcription factor ThPOK during T-cell development leads to high incidence of T-cell lymphomas.

Sample Metadata Fields

Specimen part

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accession-icon GSE33540
Expression data obtained from HPBALL cell line
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The experiment was designed in order to knock down the expression of TLX3 gene in T-ALL cell line

Publication Title

Disregulated expression of the transcription factor ThPOK during T-cell development leads to high incidence of T-cell lymphomas.

Sample Metadata Fields

Cell line

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accession-icon GSE33539
Expression data obtained from ALLSIL cell line
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The experiment was designed in order to knock down the expression of TLX1 gene in T-ALL cell line

Publication Title

Disregulated expression of the transcription factor ThPOK during T-cell development leads to high incidence of T-cell lymphomas.

Sample Metadata Fields

Cell line

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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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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