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accession-icon SRP013621
Homo sapiens Transcriptome or Gene expression
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

RNA-Seq uncovers transcriptomic variations associated with the lethal phenotype conversion on LNCaP progression cell model

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP125291
Danio rerio strain:ASWT Transcriptome or Gene expression
  • organism-icon Danio rerio
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

A genome-wide map of circular RNA in adult zebrafish.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE10702
Gene expression profile of cervical and skin tissues from HPV 16 E6 transgenic mice
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Background

Publication Title

Gene expression profile of cervical and skin tissues from human papillomavirus type 16 E6 transgenic mice.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE41827
Expression data from HeLa cells treated with Casiopeina Cas-II-gly
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Copper-based chemotherapeutic compounds Casiopeinas, have been presented as able to promote selective programmed cell death in cancer cells, thus being proper candidates for targeted cancer therapy. DNA fragmentation and apoptosis -in a process mediated by reactive oxygen species- for a number of tumor cells, have been argued to be the main mechanisms. However, a detailed functional mechanism (a model) is still to be defined and interrogated for a wide variety of cellular conditions; before establishing settings and parameters needed for their wide clinical application.

Publication Title

Whole genome gene expression analysis reveals casiopeína-induced apoptosis pathways.

Sample Metadata Fields

Cell line

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accession-icon GSE26741
Activator protein-2 is a critical determinant of estrogen receptor interactome formation and gene transcription in breast cancer
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HumanRef-8 v3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

AP-2γ regulates oestrogen receptor-mediated long-range chromatin interaction and gene transcription.

Sample Metadata Fields

Cell line

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accession-icon GSE26740
Activator protein-2 is a critical determinant of estrogen receptor interactome formation and gene transcription in breast cancer [expression]
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HumanRef-8 v3.0 expression beadchip

Description

Estrogen receptor (ER) is key player in the progression of breast cancer. ER binds to DNA and mediates long-range chromatin interactions throughout the genome, but the underlying mechanism in this process is unclear. Here, we show that AP-2 motifs are highly enriched in the ER binding sites (ERBS) identified from the recent ChIA-PET of ER. More importantly, we demonstrate that AP-2 (also known as TFAP2C), a member of the AP-2 family which has been implicated in breast cancer oncogenesis, is recruited to chromatin in a ligand-independent manner and co-localized with ER binding events. Furthermore, pertubation of AP-2 expression disrupts ER DNA binding, long-range chromatin interactions, and gene transcription. Using ChIP-seq, we show that AP-2 and ER binding occurs in close proximity on a genome-wide scale. The majority of these shared genomic regions are also occupied by the pioneer factor, FoxA1. AP-2 is required for efficient FoxA1 binding and vice versa. Finally, we show that most ERBS associated with long-range chromatin interactions are co-localized with both AP-2 and FoxA1. Together, our results suggest AP-2 is an essential factor in ER-mediated transcription, primarily working together with FoxA1 to facilitate ER binding and long-range chromatin interactions.

Publication Title

AP-2γ regulates oestrogen receptor-mediated long-range chromatin interaction and gene transcription.

Sample Metadata Fields

Cell line

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accession-icon GSE87049
Analysis of somatic DNA copy number alterations and frequency of breast cancer intrinsic subtypes from Mexican women
  • organism-icon Homo sapiens
  • sample-icon 159 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

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE86374
Analysis of somatic DNA copy number alterations and frequency of breast cancer intrinsic subtypes from Mexican women [gene expression]
  • organism-icon Homo sapiens
  • sample-icon 159 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Breast cancer is a heterogeneous disease described in well-recognized biological subtypes. Particularly, gene expression profiling has revealed 5 intrinsic subtypes of breast cancer characterized by different biological and clinical features. The diversity of the intrinsic subtypes across human population has been limited described, and there is few information about the genomic architecture of breast tumors in Mexican or Hispanic populations. In this study, we performed PAM50 assay, based in Affymetrix microarray profiling of 128 fresh frozen tumors from Mexican Latino Hispanic population, to describe the overall distribution of subtypes, and characterize the relation to clinicopathologic characteristics. As well, we correlated the mRNA expression patterns with specific copy number alterations (CPA), in order to analyze their role in breast tumors. A total of 100 blood-tumor samples were assayed using Affymetrix 6.0 SNP arrays; segmentation analysis and GISTIC were performed to identify focal amplifications or deletions. The distribution of PAM50 intrinsic subtypes in our cohort was computed to be 44% luminal A, 20% luminal B, 12.0% HER2-enriched, 12% basal-like, and 12% normal-like. Study comparison with the literature mainly TCGA and METABRIC (most of the patients came from Caucasian population), as well as LACE (which describe a population study) show a similar distribution of the intrinsic subtypes within Hispanic and Caucasian populations. Interestingly, basal-like subtype is less represented than in African-American race. The sum of sensitivity and specificity between the clinicopathologic and intrinsic subtype categories across 4 groups (excluding normal-like) was 50% and 87.5%, respectively. Differentially expression profiles within the subtypes reveal a set of genes altered in each group with biological relevance to stablish the phenotypical characteristics of each subtype. Our analyses confirmed the already reported copy number data. Importantly, many of the copy number profiles correlated with mRNA subtype. With this analysis we can conclude that breast cancer intrinsic subtypes have been reproduced in Mexican population contributing to the description of the PAM50 subtypes among multiple ethnic groups based on a gene expression assay. Our observation based in the integrative genomic analysis of mRNA expression and CPA allowed us to define gene circuits and phenotypic characteristics that can explain the heterogeneity of breast cancer subtypes.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE86945
Transcriptome characterization of triple negative breast cancer [Italy]
  • organism-icon Homo sapiens
  • sample-icon 100 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Triple negative breast cancer (TNBC) represents a challenging tumor type due to their poor prognosis and limited treatment options. It is well recognize that clinical and molecular heterogeneity of TNBC is driven in part by mRNA and lncRNAs. To stratify TNBCs, we profiled mRNAs and lncRNA in 158 adjuvant TNBC tumors using an Affymetrix microarray platform. Lehmann clustering analysis allowed us to identify TNBC subtypes featuring unique lncRNA expression patterns, disease free and overall survival rates and particular gene ontology enrichments (performed with GSEA algorithm).

Publication Title

Loss of function of miR-342-3p results in MCT1 over-expression and contributes to oncogenic metabolic reprogramming in triple negative breast cancer.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE86946
Transcriptome characterization of triple negative breast cancer [Mexico]
  • organism-icon Homo sapiens
  • sample-icon 58 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Triple negative breast cancer (TNBC) represents a challenging tumor type due to their poor prognosis and limited treatment options. It is well recognize that clinical and molecular heterogeneity of TNBC is driven in part by mRNA and lncRNAs. To stratify TNBCs, we profiled mRNAs and lncRNA in 158 adjuvant TNBC tumors using an Affymetrix microarray platform. Lehmann clustering analysis allowed us to identify TNBC subtypes featuring unique lncRNA expression patterns, disease free and overall survival rates and particular gene ontology enrichments (performed with GSEA algorithm).

Publication Title

Loss of function of miR-342-3p results in MCT1 over-expression and contributes to oncogenic metabolic reprogramming in triple negative breast cancer.

Sample Metadata Fields

Specimen part

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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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