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accession-icon SRP056638
Chromatin signature identifies monoallelic gene expression across mammalian cell types (RNA-seq)
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Monoallelic expression of autosomal genes (MAE) is a widespread epigenetic phenomenon which is poorly understood, due in part to current limitations of genome-wide approaches for assessing it. Recently, we reported that a specific histone modification signature is strongly associated with MAE, and demonstrated that it can serve as a proxy of MAE in human lymphoblastoid cells (Nag et al. Elife. 2013 Dec 31;2:e01256). Here, we use murine cells to establish that this chromatin signature is conserved between mouse and human, and is associated with MAE in every tested cell type. Our analyses reveal extensive conservation in the identity of MAE genes between the two species. By applying MAE chromatin signature analysis to a large number of cell and tissue types, we show that the MAE state remains consistent during terminal cell differentiation and is predominant among cell-type specific genes, suggesting a link between MAE and specification of cell identity. Overall design: PolyA RNA purification and subsequent high-throughput sequencing were performed on two independent B-lymphoid clonal cell line, derived from 129S1/SvImJ x CAST/EiJ F1 mice and immortalized with Abelson murine leukemia virus, and on two independent fibroblast clonal cell lines, derived from 129S1/Sv x CAST/EiJ F1 and immortalized with SV40.

Publication Title

Chromatin Signature Identifies Monoallelic Gene Expression Across Mammalian Cell Types.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP032542
Whole RNA-seq on clones of GM12878 lymphoblastoid clones DF1 and DF2
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Analysis of Allelic bias in clonal lymphoblastoid cells. Abstract: In mammals, numerous autosomal genes are subject to mitotically stable monoallelic expression (MAE), including genes that play critical roles in a variety of human diseases. Due to challenges posed by the clonal nature of MAE, very little is known about its regulation; in particular, no molecular features have been specifically linked to MAE. Here we report an approach that distinguishes MAE genes in human cells with great accuracy: a chromatin signature consisting of chromatin marks associated with active transcription (H3K36me3) and silencing (H3K27me3) simultaneously occurring in the gene body. The MAE signature is present in ~20% of ubiquitously expressed genes and over 30% of tissue-specific genes across cell types. Notably, it is enriched among key developmental genes that have bivalent chromatin structure in pluripotent cells. Our results open a new approach to the study of MAE that is independent of polymorphisms, and suggest that MAE is linked to cell differentiation. Overall design: Poly A purified total RNA was used for library construction using a method described by Parkhomchuk et. al. NAR 2009. The library was strand-specific but the pipeline for data analysis does not assume the library is strand-specific.

Publication Title

Chromatin signature of widespread monoallelic expression.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP081265
Escape from X-Inactivation Tumor Suppressor (EXITS) genes contribute to sex bias
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

In this manuscript, we described male-biased mutations in chrX genes in cancer. In this RNA-seq experiment we tested the transcriptional consequences of shRNA knockdown of one of those genes, CNKSR2 Overall design: Murine NIH 3T3 cells were infected with and selected for expression of lentiviruses expressing shRNAs targeting Cnksr2 (2 independent shRNA sequences) or a control shRNA (targeting RFP, a gene not present in these cells). Each was performed in biological triplicate independent cultures for n=9 total samples

Publication Title

Tumor-suppressor genes that escape from X-inactivation contribute to cancer sex bias.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE39966
Expression data from replicating and quiescent liver cells isolated from mice young liver
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We have developed a new transgenic mouse strain, expressing a CyclinB1-GFP fusion reporter, which marks replicating cells in the S/G2/M phases of the cell cycle to isolate live replicating and quiescent cells from the liver.

Publication Title

A transgenic mouse marking live replicating cells reveals in vivo transcriptional program of proliferation.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP058571
Somatic cell fusions reveal extensive heterogeneity in basal-like breast cancer [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconNextSeq500

Description

Basal-like and luminal breast tumors have distinct clinical behavior and molecular profiles, yet the underlying mechanisms are poorly defined. To interrogate processes that determine these distinct phenotypes and their inheritance pattern, we generated somatic cell fusions and performed integrated genetic and epigenetic (DNA methylation and chromatin) profiling. We found that the basal-like trait is generally dominant and it is largely defined by epigenetic repression of luminal transcription factors. Definition of super-enhancers highlighted a core program common in luminal cells but high degree of heterogeneity in basal-like breast cancers that correlates with clinical outcome. We also found that protein extracts of basal-like cells is sufficient to induce luminal-to-basal phenotypic switch implying a trigger of basal-like autoregulatory circuits. We determined that KDM6A might be required for luminal-basal fusions, and identified EN1, TBX18, and TCF4 as candidate transcriptional regulators of luminal-to-basal switch. Our findings highlight the remarkable epigenetic plasticity of breast cancer cells. Overall design: RNA-Seq in breast cancer cell-lines

Publication Title

Somatic Cell Fusions Reveal Extensive Heterogeneity in Basal-like Breast Cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE53989
A genome-wide approach in Arabidopsis thaliana to assess the toxicity of cadmium sulfide quantum dots
  • organism-icon Arabidopsis thaliana
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Cadmium sulfide quantum dots (CdS QDs) are widely used in novel equipment. The relevance of the research lies in the need to develop risk assessments for nanomaterials, using as basis a model plant species.

Publication Title

Genome-wide approach in Arabidopsis thaliana to assess the toxicity of cadmium sulfide quantum dots.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP116104
Folate modulation induces chromosomal instability and higher proliferation of immortalized human keratinocytes
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Gene expression variation upon folate deficiency and repletion in human foreskin keratinocytes immortalized by HPV16E6E7 Overall design: Effects of folate modulation on several cellular events such as DNA stability

Publication Title

Folate Repletion after Deficiency Induces Irreversible Genomic and Transcriptional Changes in Human Papillomavirus Type 16 (HPV16)-Immortalized Human Keratinocytes.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE17679
Inflammatory gene profiling of Ewing sarcoma family of tumors
  • organism-icon Homo sapiens
  • sample-icon 115 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

High Expression of Complement Component 5 (C5) at Tumor Site Associates with Superior Survival in Ewing's Sarcoma Family of Tumour Patients.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Cell line

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accession-icon GSE17674
Inflammatory gene profiling of Ewing sarcoma family of tumors (set B)
  • organism-icon Homo sapiens
  • sample-icon 61 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Purpose: Unlike in most adult-onset cancers, an association between typical paediatric neoplasms and inflammatory triggers is rare. We studied whether immune system related genes are activated and have prognostic significance in Ewing sarcoma family of tumours (ESFT). Experimental design: Data-analysis was performed on gene expression profiles of 44 ESFT patient, 11 ESFT cell line, and 18 normal muscle tissue samples. 238 inflammation related genes were selected based on literature and a macrophage gene expression signature was derived from SymAtlas. Differential expression of the genes was analysed by t-test and survival analysis was performed according to gene expression.

Publication Title

High Expression of Complement Component 5 (C5) at Tumor Site Associates with Superior Survival in Ewing's Sarcoma Family of Tumour Patients.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

View Samples
accession-icon GSE17618
Inflammatory gene profiling of Ewing sarcoma family of tumors (set A)
  • organism-icon Homo sapiens
  • sample-icon 54 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Purpose: Unlike in most adult-onset cancers, an association between typical paediatric neoplasms and inflammatory triggers is rare. We studied whether immune system related genes are activated and have prognostic significance in Ewing sarcoma family of tumours (ESFT). Experimental design: Data-analysis was performed on gene expression profiles of 44 ESFT patient, 11 ESFT cell line, and 18 normal muscle tissue samples. 238 inflammation related genes were selected based on literature and a macrophage gene expression signature was derived from SymAtlas. Differential expression of the genes was analysed by t-test and survival analysis was performed according to gene expression.

Publication Title

High Expression of Complement Component 5 (C5) at Tumor Site Associates with Superior Survival in Ewing's Sarcoma Family of Tumour Patients.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Cell line

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)

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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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