refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 893 results
Sort by

Filters

Technology

Platform

accession-icon SRP065849
A novel RAF kinase inhibitor with DFG-out binding mode: high efficacy in BRAF-mutant tumor xenograft models in the absence of normal tissue hyperproliferation
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq1000

Description

Purpose: Seek for differential gene expression in vemurafenib-resistant A375 tumors vs. untreated controls to provide a rationale for resistance mechanism Methods: mRNA profiles of vemurafenib-resistant A375 tumors and untreated control tumors were generated by transcriptome sequencing of A375 melanoma bearing mice. Since our xenograft samples contain a mixture of human and mouse RNAs we mapped RNASeq reads against a hybrid human/mouse genome. We than removed reads of potential mouse origin by taking only reads that map uniquely to human chromosomes. On average 23% of reads were removed as potential mouse reads. We than took the remaining reads (on average 77% per sample) to determine the gene expression levels for each sample. Normalized expression levels of 5 resistant samples were compared to 4 untreated control samples to detect differnetially regulated genes which may contribute to vemurfenib resistance Results: Expression levels of several genes were consistently altered in all resistant samples. Expression of e.g. genes encoding SPRY2, SPRY4, DUSP6, CCND1, PIK3R3, FGFR1, EPHA4, MCL1, and IGF1R was down-regulated, whereas expression of PDGFC, VEGFC, ABCB9 and KITLG was increased. Conclusions: Our study reports several differentially expressed genes which may contribute to vemurafenib resistance in A375 tumor bearing mice Overall design: RNA sequencing of genes expressed in A375 tumors bearing mice treated with vemurafenib until in vivo resistance appeared vs. untreated A375 tumors

Publication Title

A Novel RAF Kinase Inhibitor with DFG-Out-Binding Mode: High Efficacy in BRAF-Mutant Tumor Xenograft Models in the Absence of Normal Tissue Hyperproliferation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE109304
Efficacy of the highly selective focal adhesion kinase inhibitor BI 853520 in adenocarcinoma xenograft models is linked to a mesenchymal tumor phenotype
  • organism-icon Homo sapiens
  • sample-icon 47 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [CDF: Brainarray Version 16.1.0, HsEx10stv2_Hs_REFSEQ (huex10st), Affymetrix Multispecies miRNA-3 Array (mirna3)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Efficacy of the highly selective focal adhesion kinase inhibitor BI 853520 in adenocarcinoma xenograft models is linked to a mesenchymal tumor phenotype.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE109302
Efficacy of the highly selective focal adhesion kinase inhibitor BI 853520 in adenocarcinoma xenograft models is linked to a mesenchymal tumor phenotype [mRNA]
  • organism-icon Homo sapiens
  • sample-icon 47 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [CDF: Brainarray Version 16.1.0, HsEx10stv2_Hs_REFSEQ (huex10st)

Description

mRNA expression profiling of untreated CDX samples and correlation with sensitivity data derived from treatments with BI 853520.

Publication Title

Efficacy of the highly selective focal adhesion kinase inhibitor BI 853520 in adenocarcinoma xenograft models is linked to a mesenchymal tumor phenotype.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE10360
Role of Endothelin in SCG axon pathfinding
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Sympathetic neurons of SCG (Superior Cervical Ganglia) send axonal projections either along the external carotid arteries to innervate the salivary glands, or along the internal carotid arteries to the lacrimal and pineal glands, the eye, blood vessels and skin of the head, and the mucosa of the oral and nasal cavities. Previous studies using Wnt1Cre and R26R have defined the neural crest and mesodermal origins of vascular smooth muscle in the heart outflow tract and great vessels, although not specifically of the segments that are relevant for the projections of the SCG neurons. The third pharyngeal arch arteries are lined by neural crest-derived smooth muscle, and consequently, their derivatives, including the entirety of the external carotid arteries and only the base of the internal carotid arteries, also have a neural crest origin. In contrast, the dorsal aortae are lined by smooth muscle that is mesodermal in origin, and as a result, the internal carotid arteries from just above their origination from the common carotid arteries have a mesoderm-derived smooth muscle layer. To address the possibility that guidance cues for SCG neurons are selectively expressed by the external carotid vs. the internal carotid arteries, we isolated these segments of the vasculature from mouse embryos at E13.5 and extracted RNA to screen microarrays for differentially expressed genes.

Publication Title

Endothelins are vascular-derived axonal guidance cues for developing sympathetic neurons.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE30391
Expression data from human Wharton's jelly stem cells
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human umbilical cord Whartons jelly stem cells (WHJSC) are gaining attention as a possible clinical source of mesenchymal stem cells for use in cell therapy and tissue engineering due to their high accessibility, expansion potential and plasticity. However, the cell viability changes that are associated to sequential cell passage of these cells are not known. In this analysis, we have identified the gene expression changes that are associated to cell passage in WHJSC.

Publication Title

Evaluation of the cell viability of human Wharton's jelly stem cells for use in cell therapy.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE29664
DNA microarray analysis and functional profile of pituitary transcriptome under core-clock protein BMAL1 control
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

To find BMAL1-regulated genes in mice pituitary gland we performed a differential microarray from wild-type vs Bmal1-/- knock-out mice

Publication Title

Chromatin remodeling as a mechanism for circadian prolactin transcription: rhythmic NONO and SFPQ recruitment to HLTF.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon E-MEXP-466
Transcription profiling of two populations of non-hematopoetic stem cells (MSC and MAPC) isolated from human bone marrow
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Compare the behaviour of two populations of non-hematopoetic stem cells (MSC and MAPC) isolated from human bone marrow. The effect of culture conditions on the behaviour of MSC was also characterised by isolating MSC and then culturing the cells for 96h in MAPC growth conditions

Publication Title

Validation of COL11A1/procollagen 11A1 expression in TGF-β1-activated immortalised human mesenchymal cells and in stromal cells of human colon adenocarcinoma.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon SRP170967
Extensive cellular heterogeneity of X inactivation revealed by single-cell allele-specific expression in human fibroblasts
  • organism-icon Homo sapiens
  • sample-icon 752 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

X-chromosome inactivation (XCI) provides a dosage compensation mechanism where, in each female cell, one of the two X chromosomes is randomly silenced. However, some genes on the inactive X chromosome and outside the pseudoautosomal regions escape from XCI and are expressed from both alleles (escapees). We investigated XCI at single-cell resolution combining deep single cellRNA sequencing with whole-genome sequencing to examine allelic-specific expression in 935 primary fibroblast and 48 lymphoblastoid single cells from five female individuals. In this framework we integrated an original method to identify and exclude doublets of cells. In fibroblast cells, we have identified 55 genes as escapees including five novel escapee genes. Moreover, we observed that all genes exhibit a variable propensity to escape XCI in each cell and cell type and that each cell displays a distinct expression profile of the escapee genes. A metric, the Inactivation Score—defined as the mean of the allelic expression profiles of the escapees per cell—enables us to discover a heterogeneous and continuous degree of cellular XCI with extremes represented by “inactive” cells, i.e., cells exclusively expressing the escaping genes from the active X chromosome and “escaping” cells expressing the escapees from both alleles. We found that this effect is associated with cell-cycle phases and, independently, with the XIST expression level, which is higher in the quiescent phase (G0). Single-cell allele-specific expression is a powerful tool to identify novel escapees in different tissues and provide evidence of an unexpected cellular heterogeneity of XCI. Overall design: Single-cell RNA seq study on 935 human fibroblasts and 48 lymphoblastoid cells from 5 female individuals, in order to investigate the X chromosome nactivation mechanism on a single cell level and to identify escapee genes

Publication Title

Single cell transcriptome in aneuploidies reveals mechanisms of gene dosage imbalance.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE77540
Integrative analysis of DNA copy number, DNA methylation and gene expression in multiple myeloma reveals alterations related to relapse
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Integrative analysis of DNA copy number, DNA methylation and gene expression in multiple myeloma reveals alterations related to relapse.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE77539
Integrative analysis of DNA copy number, DNA methylation and gene expression in multiple myeloma reveals alterations related to relapse [gene expression]
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Multiple myeloma (MM) remains incurable despite the introduction of novel agents and a relapsing course is observed in the majority of patients. Although the development of genomic technologies has greatly improved our understanding of MM pathogenesis, the mechanisms underlying relapse have been less investigated. In this study, an integrative analysis of DNA copy number, DNA methylation and gene expression was conducted in matched diagnosis and relapse samples from 17 MM patients. Overall, the acquisition of abnormalities at relapse was much more frequent than the lost of lesions present at diagnosis, and DNA losses were significantly more frequent at relapse than in diagnosis samples. Interestingly, copy number abnormalities involving more than 100 Mb of DNA at relapse significantly impact the gene expression of these samples, provoking a particular deregulation of IL-8 pathway. On the contrary, no relevant modifications of gene expression were observed in those samples with less than 100 Mb affected by chromosomal changes. Although different statistical approaches were used to uncover genes whose abnormal expression at relapse was regulated by DNA methylation, only two genes significantly deregulated in relapse samples (SORL1 and GLT1D1) showed a negative methylation-expression correlation. A deeper analysis demonstrated that DNA methylation was involved in regulation of SORL1 expression in MM. Finally, relevant changes in gene expression observed in relapse samples, such us downregulation of CD27 and P2RY8, were not apparently preceded by alterations in corresponding DNA. Taken together, these results showed that genomic heterogeneity, both at the DNA and RNA level, is a hallmark of MM transition from diagnosis to relapse.

Publication Title

Integrative analysis of DNA copy number, DNA methylation and gene expression in multiple myeloma reveals alterations related to relapse.

Sample Metadata Fields

Sex, Specimen part

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