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accession-icon SRP035478
Transcriptome sequencing of nasopharyngeal carcinoma model system (miRNA)
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

Nasopharyngeal carcinoma (NPC) is a prevalent malignancyt disease in Southeast Asia among the Chinese population. Aberrant regulation of transcripts has been implicated in many types of cancers including NPC. Herein, we characterized mRNA and miRNA transcriptomes by RNA sequencing (RNASeq) of NPC model systems. Overall design: Matched total mRNA and small RNA of undifferentiated Epstein-Barr virus (EBV)-positive NPC xenograft X666 and its derived cell line C666, well-differentiated NPC cell line HK1, and the immortalized nasopharyngeal epithelial cell line NP460 have been sequenced by Solexa technology.

Publication Title

Integrated mRNA and microRNA transcriptome sequencing characterizes sequence variants and mRNA-microRNA regulatory network in nasopharyngeal carcinoma model systems.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP035477
Transcriptome sequencing of nasopharyngeal carcinoma model system (mRNA)
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

Nasopharyngeal carcinoma (NPC) is a prevalent malignancyt disease in Southeast Asia among the Chinese population. Aberrant regulation of transcripts has been implicated in many types of cancers including NPC. Herein, we characterized mRNA and miRNA transcriptomes by RNA sequencing (RNASeq) of NPC model systems. Overall design: Matched total mRNA and small RNA of undifferentiated Epstein-Barr virus (EBV)-positive NPC xenograft X666 and its derived cell line C666, well-differentiated NPC cell line HK1, and the immortalized nasopharyngeal epithelial cell line NP460 have been sequenced by Solexa technology.

Publication Title

Integrated mRNA and microRNA transcriptome sequencing characterizes sequence variants and mRNA-microRNA regulatory network in nasopharyngeal carcinoma model systems.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE80359
Expression data from CIC wild type and knockout cell lines
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Type I low-grade gliomas (LGGs), characterized by 1p/19q co-deletions and IDH1/2 mutations, show superior overall survival compared to other gliomas. Approximately 70% of cases harbour mutations in the Capicua (CIC) gene, whose product is a transcriptional repressor whose transcriptional network has yet to be extensively studied in human cells. To address this, we developed CIC knockout cell lines and used transcriptome analyses to study the consequences of CIC loss. Results were further compared to data for Type I LGGs and stomach adenocarcinomas from The Cancer Genome Atlas (TCGA). We find that CIC appears to regulate the expression of genes involved in cell-cell adhesion and nervous system development. CIC deficiency is also found to be associated with a MEK activation transcriptional signature and to act as an effector of MEK signalling. Loss of CIC may thus present a novel mechanism for the dysregulation of this and other oncogenic pathways.

Publication Title

Comparative transcriptome analysis of isogenic cell line models and primary cancers links capicua (CIC) loss to activation of the MAPK signalling cascade.

Sample Metadata Fields

Cell line

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accession-icon SRP182916
Transcriptomic profiling of human peripheral blood-derived mast cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Here, we characterized the transcriptome of MCs under steady state, immunoglobulin E (IgE)-sensitized and anti-IgE-treated conditions. Overall design: MCs were left untreated or sensitized overnight with myeloma-IgE (0.5 µg/ml) and treated with anti-IgE (1 µg/ml) for 2h. RNA was isolated with Trizol and RNeasy columns and RNA-seq was performed.

Publication Title

Genome-wide Analyses of Chromatin State in Human Mast Cells Reveal Molecular Drivers and Mediators of Allergic and Inflammatory Diseases.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE73540
Gene expression breast cancer
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

There exists a common deletion polymorphism on the genetic loci of APOBEC3B and this polymorphism exist in ~37% of East Asians and ~7% of Europeans. Germline APOBEC3B deletion has bee27233495n shown to confer modest risk to breast cancer in both East Asian women and women of European descent

Publication Title

Germline APOBEC3B deletion is associated with breast cancer risk in an Asian multi-ethnic cohort and with immune cell presentation.

Sample Metadata Fields

Sex, Disease stage

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accession-icon GSE40643
Expression analysis on microfibrillar associated protein 5 (MFAP5) protein treated ovarian cancer cell line OVCA432
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Ovarian cancer is the fifth most common form of cancer in women in the United States. Among different types of ovarian cancer, epithelial ovarian cancer is the most common and is highly lethal, however, prognostic and predictive markers, which can be used to predict chemoresponse and patient survival, have not been thoroughly explored. One critically important yet often overlooked component to the tumor progression process is the tumor microenvironment. Primarily composed of fibroblasts and extracellular matrix proteins (ECM) as well as endothelial cells and lymphocytic infiltrate, the tumor microenvironment has been shown to directly affect cell growth, migration, and differentiation through secreted proteins, cell-cell interactions and matrix remodeling (Tlsty and Coussens, 2006). The tumor microenvironment has the potential to promote tumor initiation of normal epithelial cells and facilitate progression of malignant cells, thereby, presenting a unique approach to diagnosing, understanding and treating cancer. Using a whole-genome oligonucleotide array platform to perform transcriptome profiling on the fibroblastic stromal component microdissected from a series of advanced stage high-grade serous ovarian adenocarcinomas, we identified a transcriptome signature for the ovarian cancer associated fibroblast (CAF). We further functionally characterized one of the identified genes, MFAP5, and we showed that stromal MFAP5 is a prognostic marker associated with poor patient survival. In addition to that, to investigate the signaling machanism and the effect of MFAP5 treatment on ovarian cancer cells, transcriptome profiling of MFAP5 treated OVCA432 high-grade serous ovarian cancer cells was performed. Further functional studies showed that stromal MFAP5 modulated ovarian cancer cell motility and invasion potential.

Publication Title

Calcium-dependent FAK/CREB/TNNC1 signalling mediates the effect of stromal MFAP5 on ovarian cancer metastatic potential.

Sample Metadata Fields

Cell line

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accession-icon GSE19737
Genes regulated by miR-145
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used Affymetrix HG U133 Plus 2.0 GeneChips to compare the transcriptome of miR-145-overexpressing MDA-MB-231 cells against negative control miRNA precursor-transfected cells.

Publication Title

miR-145-dependent targeting of junctional adhesion molecule A and modulation of fascin expression are associated with reduced breast cancer cell motility and invasiveness.

Sample Metadata Fields

Specimen part

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accession-icon GSE104755
The role of LSD1 in Epithelial to Mesenchymal Transition: gene expression profiling and ChIP-seq
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

LSD1 activation promotes inducible EMT programs and modulates the tumour microenvironment in breast cancer.

Sample Metadata Fields

Cell line, Treatment

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accession-icon SRP162816
RNA sequencing of CFU-GM derived from CD34+ cells expressing PRR14L shRNA or a scramble control
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Here we are using RNA-Seq to study the effect of PRR14L knockdown on transcriptome of hematopoietic cells differentiated towards the granulomonocytic lineage. Overall design: RNAseq was performed on individual CFU-GM with shRNA-mediated PRR14L knockdown and scramble control to study the effects of PRR14L knockdown on the transcriptome of hematopoietic cells differentiated towards the granulomonocytic lineage.

Publication Title

PRR14L mutations are associated with chromosome 22 acquired uniparental disomy, age-related clonal hematopoiesis and myeloid neoplasia.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE55145
Gene expression profile alone is inadequate in predicting complete response in multiple myeloma
  • organism-icon Homo sapiens
  • sample-icon 67 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

We have analyzed gene expression microarray datasets from four different clinical trials to assess accuracy of gene expression based signature in predicting treatment complete response in patients with multiple myeloma. Two of four datasets were made available via The Intergroupe Francophone du Mylome (IFM) group, and remaining two datasets were downloaded from NCBI GEO portal with accession IDs: GSE19784 (HOVON65/GMMG-HD4 trial) and GSE9782 (APEX/SUMMIT trial). Analysis UUID: datasets_archive--2afcd42a-7e12-11e3-9145-5fcc1e060548--15-Jan-2014-12-23-44-CST.

Publication Title

Gene expression profile alone is inadequate in predicting complete response in multiple myeloma.

Sample Metadata Fields

No sample metadata fields

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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