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accession-icon SRP106148
p63 controls the enhancer landscape during keratinocyte differentiation
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon

Description

Here we characterized the transcriptome and epigenome of control keratinocytes during differentiation. Epigenomic analyses showed that the temporal enrichment of p63 motifs in dynamic enhancers underscores the key role of p63 in orchestrating the enhancer landscape during keratinocyte differentiation. The cooperation between p63 and its co-regulating factors, such as RUNX1, is important for the finetuning of gene expression. Overall design: RNA-Seq, H3K4me3 ChIP-Seq and H3K27me3 ChIP-Seq of keratinocytes during differentiation on day0(proliferation), day2(early differentiation), day4(mid differentiation) and day7(late differentiation). RUNX1 ChIP-Seq of keratinocytes at the proliferation stage(day0).

Publication Title

Mutant p63 Affects Epidermal Cell Identity through Rewiring the Enhancer Landscape.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP006574
GSE28884: MicroRNA sequence and expression analysis in breast tumors by deep sequencing
  • organism-icon Homo sapiens
  • sample-icon 206 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

No description.

Publication Title

MicroRNA sequence and expression analysis in breast tumors by deep sequencing.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE16011
Intrinsic Gene Expression Profiles of Gliomas are a Better Predictor of Survival than Histology
  • organism-icon Homo sapiens
  • sample-icon 284 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Histological classification of gliomas guides treatment decisions. Because of the high interobserver variability, we aimed to improve classification by performing gene expression profiling on a large cohort of glioma samples of all histological subtypes and grades. The seven identified intrinsic molecular subtypes are different from histological subgroups and correlate better to patient survival. Our data indicate that distinct molecular subgroups clearly benefit from treatment. Specific genetic changes (EGFR amplification, IDH1 mutation, 1p/19q LOH) segregate in -and may drive- the distinct molecular subgroups. Our findings were validated on three large independent sample cohorts (TCGA, REMBRANDT, and GSE12907). We provide compelling evidence that expression profiling is a more accurate and objective method to classify gliomas than histology.

Publication Title

Intrinsic gene expression profiles of gliomas are a better predictor of survival than histology.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP137016
Single cell transcriptomics reveal the dynamic of haematopoietic stem cell production in the aorta
  • organism-icon Mus musculus
  • sample-icon 67 Downloadable Samples
  • Technology Badge IconNextSeq 500, Illumina HiSeq 2000

Description

We present single-cell mRNA-Sequencing of various endothelial and hematopoietic populations isolated from the mouse embryonic aorta at E10 and E11. Our study reveals the transcriptional dynamics occuring during endothelial to hematopoietic transition, the process responsible for the production of hematopoietic stem cells. Overall design: single-cell mRNA-Sequencing of various endothelial and hematopoietic populations isolated from the mouse embryonic aorta at E10 and E11

Publication Title

Single-cell transcriptomics reveal the dynamic of haematopoietic stem cell production in the aorta.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE81245
Gene expression profiling of LMC and MMC motor neurons in SMA mice
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Spinal muscular atrophy (SMA) is a neurodegenerative disease which exhibits selective motor neuron death caused by a ubiquitous deficiency of the survival motor neuron (SMN) protein. It remains unclear how the ubiquitous reduction of SMN lead to death in selective motor neuron pools. Medial motor neuron columns (MMC) are vulnerable, whereas lateral motor columns (LMC) are resistant to motor neuron death in SMA. Here we performed microarray and pathway analysis comparing cholera toxin subunit B (CTb) labeled vulnerable MMC and resistant LMC of pre-symptomatic SMA with corresponding motor neuron columns of control mice to identify pathways involved in selective motor neuron death in SMA. WT is FVB. SMN is Delta7 (SMN7;SMN2;Smn-) on a FVB background.

Publication Title

Converging Mechanisms of p53 Activation Drive Motor Neuron Degeneration in Spinal Muscular Atrophy.

Sample Metadata Fields

Specimen part

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accession-icon SRP044925
Transcription factor p63 bookmarks genomic loci in epithelial cells and regulates a subset of target genes during epidermal differentiation through dynamic enhancers (RNA-Seq)
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Tightly controlled gene expression orchestrated by the transcription factor p63 during epithelial differentiation is important for development of epithelial-related structures such as epidermis, limb and craniofacial regions. How p63 regulates spatial and temporal expression of its target genes during these developmental processes is however not yet clear. By epigenomics profiling in stem cells established from one of these epithelial structures, the epidermis, we provide a global map of p63-bound regulatory elements that are categorized as single enhancers and clustered enhancers during epidermal differentiation. Transcriptomics analysis shows dynamic gene expression patterns during epidermal differentiation that correlates with the activity of p63-bound enhancers rather than with p63 binding itself. Only a subset of p63-bound enhancers is active in epidermal stem cells, and inactive p63-bound enhancers appear to function in gene regulation during the development of other epithelial tissues. Our data suggest a paradigm that p63 bookmarks genomic loci during the commitment of the epithelial lineage and regulates gene expression in different epithelial tissues through tissue-specific active enhancers. The catalogue of differentially expressed epidermal genes including non-coding RNAs and epithelial enhancers reported here provides a rich resource for studies of epithelial development and related diseases. Overall design: Comparison of gene expression at different stages of keratinocyte differentiation

Publication Title

Genome-wide p63-regulated gene expression in differentiating epidermal keratinocytes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE53418
Ovarian Cancer Cell line Panel (OCCP): gene expression data.
  • organism-icon Homo sapiens
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Epithelial ovarian cancer is a very heterogeneous disease and remains the most lethal gynaecological malignancy in the Western world. Rational therapeutic approaches need to account for interpatient and intratumoral heterogeneity in treatment design. Detailed characterization of in vitro models representing the different histological and molecular subtypes is therefore imperative. Strikingly, from ~100 available ovarian cancer cell lines the origin and which subtype they represent is largely unknown. We have extensively and uniformly characterized 39 ovarian cancer cell lines (with mRNA/microRNA expression, exon sequencing, dose response curves for clinically relevant therapeutics) and obtained all available information on the clinical features and tissue of origin of the original ovarian cancer to refine the putative histological subtypes. From 39 ovarian cell lines, 14 were assigned as high-grade serous, four serous-type, one low-grade serous and 20 non-serous type. Three morphological subtypes (21 Epithelial, 7 Round, 12 Spindle) were identified that showed distinct biological and molecular characteristics, including overexpression of cell movement and migration-associated genes for the Spindle subtype. Clinical validation showed a clear association of the spindle-like tumors with metastasis, advanced stage, suboptimal debulking and poor prognosis. In addition, the morphological subtypes associated with the molecular C1-6 subtypes identified by Tothill et al. [1], Spindle clustered with C1-stromal subtype, Round with C5-mesenchymal and Epithelial with C4 subtype. We provide a uniformly generated data resource for 39 ovarian cancer cell lines, the ovarian cancer cell line panel (OCCP). This should be the basis for selecting models to develop subtype specific treatment approaches, which is very much needed to prolong the survival of ovarian cancer patients.

Publication Title

Ovarian cancer cell line panel (OCCP): clinical importance of in vitro morphological subtypes.

Sample Metadata Fields

Cell line

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accession-icon GSE7696
Glioblastoma from a homogenous cohort of patients treated within clinical trial
  • organism-icon Homo sapiens
  • sample-icon 79 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Analysis of 80 glioblastoma specimen of patients treated within clinical trials and 4 samples of "normal" brain tissue (non-tumoral). The data was used to identify factors of resistance to a chemoradiation therapy protocol of radiotherapy and concomitant and adjuvant temozolomide (alkylating agent).

Publication Title

Stem cell-related "self-renewal" signature and high epidermal growth factor receptor expression associated with resistance to concomitant chemoradiotherapy in glioblastoma.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Treatment, Subject

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accession-icon GSE46860
Alleviation of telomere dysfunction and mitochondria defects of telomerase deficient somatic cells by reprogramming
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Somatic cell nuclear transfer (SCNT) and induced pluripotent stem cells (iPSCs) represent two major approaches for somatic cell reprogramming. However, little attention has been paid to the ability of these two strategies in rejuvenating cells from donors with aging associated syndrome. Here, we utilized telomerase deficient (Terc-/-) mice to probe this question. SCNT-derived embryonic stem cells (ntESCs) and iPSCs were successfully derived from second generation (G2) and third generation (G3) of Terc-/- mice, and ntESCs showed better differentiation potential and self-renewal ability. Telomeres lengthened extensively in cloned embryos while remained or slightly increased in the process of iPSCs induction. Furthermore, G3 ntESCs exhibited improvement of telomere capping function as evidenced by decreased signal free ends and chromosome end-to-end fusion events. In contrast, there was a further decline of telomere capping function in G3 iPSCs. In addition to telomere dysfunction, mitochondria function was severely impaired in G3 iPSCs as evidenced by oxygen consumption rate (OCR) decline, reactive oxygen species (ROS) accumulation and dramatically increased mitochondria genome mutations while these deficiencies were greatly mitigated in G3 ntESCs. Our data proved the principle that SCNT-mediated reprogramming appears more superior than transcription factors induced reprogramming in terms of the resetting of telomere quality and mitochondria function, and thus, providing valuable information for further improvement of transcription factors mediated reprogramming.

Publication Title

Enhanced telomere rejuvenation in pluripotent cells reprogrammed via nuclear transfer relative to induced pluripotent stem cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE32095
GPR120 mediates high-fat diet induced obesity
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Analysis of GPR120 which play roles for the fatty acid sensor in adipose tissue. Results provide insight into the transcriptional effects caused by the loss of the GPR120 proteins and provide further insight into their functions.

Publication Title

Dysfunction of lipid sensor GPR120 leads to obesity in both mouse and human.

Sample Metadata Fields

Specimen part, Treatment, Subject

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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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