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accession-icon GSE22225
CLN3 patients with differing progression of the disease
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Mutations in the CLN3 gene lead to juvenile neuronal ceroid lipofuscinosis, a pediatric neurodegenerative disorder characterized by visual loss, epilepsy and psychomotor deterioration. Although most CLN3 patients carry the same 1 kb deletion in the CLN3 gene, their disease phenotype can be variable. The aims of this study were (1) to identify genes that are dysregulated in CLN3 disease regardless of the clinical course that could be useful as biomarkers, and (2) to find modifier genes that affect the progression rate of the disease.

Publication Title

Analysis of potential biomarkers and modifier genes affecting the clinical course of CLN3 disease.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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accession-icon GSE94691
Gene expression of ex vivo cultured osteoclasts during the course of differentiation
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The aim of this analysis was to investigate the changes in the gene expression pattern of ex vivo cultured wildtype murine osteoclasts during the course of osteoclastogenic differentiation.

Publication Title

The Lysosomal Protein Arylsulfatase B Is a Key Enzyme Involved in Skeletal Turnover.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE43502
Identification of Prognosis-Relevant Subgroups in Patients with Chemoresistant Triple Negative Breast Cancer
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Triple-negative breast cancer (TNBC) patients with residual disease after neoadjuvant chemotherapy generally have worse outcome; however, some patients with residual tumor after neoadjuvant chemotherapy do not relapse. We hypothesize that there are subgroups of chemoresistant TNBC patients with different prognosis. In this study, 25 chemoresistant samples from 47 neoadjuvant chemotherapy-treated TNBC (The Methodist Hospital) are chosen for study

Publication Title

Identification of prognosis-relevant subgroups in patients with chemoresistant triple-negative breast cancer.

Sample Metadata Fields

Age, Specimen part, Disease, Disease stage

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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

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accession-icon GSE32919
Patterns of histone H3 Lysine 27 monomethylation and erythroid cell-type specific gene expression
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Patterns of histone H3 lysine 27 monomethylation and erythroid cell type-specific gene expression.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE32135
Patterns of histone H3 Lysine 27 monomethylation and erythroid cell-type specific gene expression [expression]
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

ERYTHROID CELL-TYPE SPECIFIC GENE EXPRESSION

Publication Title

Patterns of histone H3 lysine 27 monomethylation and erythroid cell type-specific gene expression.

Sample Metadata Fields

Cell line

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accession-icon GSE63798
Expression data from individual MEF2A isoform knockdown in C2C12 myotubes
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Differentiation of muscle tissue is regulated by a complex network of transcription factors. The MEF2 family of transcription factors are important players in muscle development and differentiation.

Publication Title

MEF2 transcription factors regulate distinct gene programs in mammalian skeletal muscle differentiation.

Sample Metadata Fields

Cell line

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accession-icon GSE57633
Stability of gene expression and epigenetic profiles highlights the utility of patient-derived paediatric acute lymphoblastic leukaemia xenografts for investigatoing molecular mechanisms of drug resistance
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Stability of gene expression and epigenetic profiles highlights the utility of patient-derived paediatric acute lymphoblastic leukaemia xenografts for investigating molecular mechanisms of drug resistance.

Sample Metadata Fields

Sex

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accession-icon GSE57491
Stability of gene expression and epigenetic profiles highlights the utility of patient-derived paediatric acute lymphoblastic leukaemia xenografts for investigatoing molecular mechanisms of drug resistance (expression)
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip

Description

Background: Patient-derived tumour xenografts are an attractive model for preclinical testing of anti-cancer drugs. Insights into tumour biology and biomarkers predictive of responses to chemotherapeutic drugs can also be gained from investigating xenograft models. As a first step towards examining the equivalence of epigenetic profiles between xenografts and primary tumours in paediatric leukaemia, we performed genome-scale DNA methylation and gene expression profiling on a panel of 10 paediatric B-cell precursor acute lymphoblastic leukaemia (BCP-ALL) tumours that were stratified by prednisolone response. Results: We found high correlations in DNA methylation and gene expression profiles between matching primary and xenograft tumour samples with Pearsons correlation coefficients ranging between 0.85 and 0.98. In order to demonstrate the potential utility of epigenetic analyses in BCPALL xenografts, we identified DNA methylation biomarkers that correlated with prednisolone responsiveness of the original tumour samples. Differential methylation of CAPS2, ARHGAP21, ARX and HOXB6 were confirmed by locus specific analysis. We identified 20 genes showing an inverse relationship between DNA methylation and gene expression in association with prednisolone response. Pathway analysis of these genes implicated apoptosis, cell signalling and cell structure networks in prednisolone responsiveness. Conclusions: The findings of this study confirm the stability of epigenetic and gene expression profiles of paediatric BCP-ALL propagated in mouse xenograft models. Further, our preliminary investigation of prednisolone sensitivity highlights the utility of mouse xenograft models for preclinical development of novel drug regimens with parallel investigation of underlying gene expression and epigenetic responses associated with novel drug responses.

Publication Title

Stability of gene expression and epigenetic profiles highlights the utility of patient-derived paediatric acute lymphoblastic leukaemia xenografts for investigating molecular mechanisms of drug resistance.

Sample Metadata Fields

Sex

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accession-icon SRP023154
Next Generation Sequencing of HM1, HP1a-/-, and HP1b-/- ESC transcriptomes
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

HM1, HP1a-/-, and HP1b-/- ESC transcriptomes were generated to determine whether depletion of these HP1 proteins influences gene and/or retroelement expression Overall design: mRNA profiles of HP1a and HP1b Knockouts and its corresponding wildtype

Publication Title

Distinct roles of KAP1, HP1 and G9a/GLP in silencing of the two-cell-specific retrotransposon MERVL in mouse ES cells.

Sample Metadata Fields

Specimen part, 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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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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