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accession-icon SRP188447
Highly-motile versus unsorted MDA-MB-231 breast cancer cells
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

The challenge of predicting which patients with breast cancer will develop metastases leads to the overtreatment of patients with benign disease and to the inadequate treatment of the aggressive cancers. Here, we report the development and testing of a microfluidic assay that quantifies the abundance and proliferation of migratory cells in breast-cancer specimens, for the assessment of their metastatic propensity and for the rapid screening of potential antimetastatic therapeutics. On the basis of the key roles of cell motility and proliferation in cancer metastasis, the device accurately predicts the metastatic potential of breast-cancer cell lines and of patient-derived xenografts. Compared to unsorted cancer cells, highly motile cells isolated by the device exhibited similar tumourigenic potential but markedly increased metastatic propensity in vivo. RNA sequencing of the highly motile cells revealed an enrichment of motility-related and survival-related genes. The approach might be developed into a companion assay for the prediction of metastasis in patients and for the selection of effective therapeutic regimens. Overall design: RNA was isolated from samples of 1000 migratory or unsorted cells in triplicate

Publication Title

A microfluidic assay for the quantification of the metastatic propensity of breast cancer specimens.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE53603
Expression data from SKOV3 cells treated with SAHA or vehicle control
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We performed a microarray experiment to assess SAHA-induced changes in expression of genes of the homologous recombination DNA repair pathway

Publication Title

Suberoylanilide hydroxamic acid (SAHA) enhances olaparib activity by targeting homologous recombination DNA repair in ovarian cancer.

Sample Metadata Fields

Cell line, Treatment, Time

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accession-icon GSE13525
Carboplatin-induced gene expression changes in vitro are prognostic of survival in epithelial ovarian cancer
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We performed a time-course microarray experiment to define the transcriptional response to carboplatin in vitro, and to correlate this with clinical outcome in epithelial ovarian cancer (EOC). RNA was isolated from carboplatin and control-treated 36M2 ovarian cancer cells at several time points, followed by oligonucleotide microarray hybridization. Carboplatin induced changes in gene expression were assessed at the single gene as well as at the pathway level. Clinical validation was performed in publicly available microarray datasets using disease free and overall survival endpoints.

Publication Title

Carboplatin-induced gene expression changes in vitro are prognostic of survival in epithelial ovarian cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE19829
A gene expression profile of BRCAness that is associated with outcome in ovarian cancer
  • organism-icon Homo sapiens
  • sample-icon 70 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A gene expression profile of BRCAness was defined in publicly available expression data of 61 patients with epithelial ovarian cancer (34 patients with BRCA-1 or BRCA-2 mutations and 27 patients with sporadic disease). This dataset is publicly available at http://jnci.oxfordjournals.org/cgi/content/full/94/13/990/DC1

Publication Title

Gene expression profile of BRCAness that correlates with responsiveness to chemotherapy and with outcome in patients with epithelial ovarian cancer.

Sample Metadata Fields

Age, Disease stage

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accession-icon GSE6381
Early Gene Expression Profiles During Intraoperative Myocardial Ischemia-Reperfusion in Cardiac Surgery
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Right ventricular samples were serially acquired during surgical repair of ventricular septal defect. Expression profiling revealed three patterns of gene expression: (1) increased expression above control levels within one hour of cardioplegic arrest, with further amplification during early reperfusion; (2) increased expression limited to the reperfusion phase; and (3) reduced expression during reperfusion.

Publication Title

Early gene expression profiles during intraoperative myocardial ischemia-reperfusion in cardiac surgery.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE13671
Expression data from mammary epithelial cells from BRCA1 mutation carriers and non BRCA1 mutation carriers
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Female BRCA1 mutation carriers have a nearly 80% probability of developing breast cancer during their life-time. We hypothesized that the breast epithelium at risk in BRCA1 mutation carriers harbors mammary epithelial cells (MECs) with altered proliferation and differentiation properties.

Publication Title

Altered proliferation and differentiation properties of primary mammary epithelial cells from BRCA1 mutation carriers.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE33513
T cell factor 1 is a gatekeeper for T-cell specification in response to Notch signaling
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Although transcriptional programs associated with T-cell specification and commitment have been described, the functional hierarchy and the roles of key regulators in structuring/ orchestrating these programs remain unclear. Activation of Notch signaling in uncommitted precursors by the thymic stroma initiates the T-cell differentiation program. One regulator first induced in these precursors is the DNA binding protein Tcf-1, a T-cell specific mediator of Wnt signaling. Yet the specific contribution of Tcf-1 to early T-cell development and the signals inducing it in these cells remain unclear. Here we assign functional significance to Tcf-1 as a gatekeeper of T-cell fate. We show that Tcf-1 is directly activated by Notch signals. Tcf-1 is required at the earliest phase of Tcell determination for progression beyond the early thymic progenitor (ETP) stage. The global expression profile of Tcf-1 deficient progenitors indicates that basic processes of DNA metabolism are downregulated in its absence and the blocked T-cell progenitors become abortive and die by apoptosis. Our data thus add an important functional relationship to the roadmap of T-cell development.

Publication Title

T-cell factor 1 is a gatekeeper for T-cell specification in response to Notch signaling.

Sample Metadata Fields

Specimen part

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accession-icon GSE81068
Expression profile of Epstein Barr Virus infected mammary epithelial cells and Breast tumors
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Whether the human tumor virus, Epstein-Barr virus (EBV) promotes breast cancers remains controversial and a potential mechanism has remained elusive. Here we show EBV can infect primary mammary epithelial cells (MECs) that express the attachment receptor, CD21. EBV infection leads to the expansion of early MEC progenitor cells with a stem cell phenotype and enforces a differentiation block. When MECs were implanted as xenografts, EBV infection cooperated with activated Ras and accelerated the formation of breast cancer. Infection in EBV-related tumors was of a latency type II pattern, including expression of latent membrane proteins 1 (LMP1) and 2 (LMP2), similar to nasopharyngeal carcinoma (NPC). A human gene expression signature for EBVness was generated based on the RNA expression profile of the EBV infected primary mammary epithelial cells, tumors. This was signature associated with high grade (40 vs 13.5%) estrogen-receptor-negative status (31.8 vs. 10.5%, p53 mutation (37.5 vs 14.5%) and poor survival. In 11/33 (33%) of tumors positive for EBVness EBV-DNA was found in tumor cells by fluorescent in situ hybridization for the viral LMP1 and BXLF2 genes, while only 4/36 (11%) of EBVness-negative tumors tested positive for EBV DNA. An analysis of the TCGA breast cancer data revealed a correlation of EBVness with presence of the APOBEC mutational signatures consistent with past viral infection. We conclude that a contribution of EBV to breast cancer etiology via a hit-and-run mechanism is plausible, in which EBV infection predisposes mammary epithelial cells to malignant transformation, but is not required for the maintenance of the malignant phenotype.

Publication Title

Epstein-Barr Virus Infection of Mammary Epithelial Cells Promotes Malignant Transformation.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE93837
Whole genome transcriptional profile of PyMT/SIRT6 vs PyMT mammary tumors
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

We compared the transcriptional profile of mammary tumors spontaneously developed in PyMT transgenic mice either bearing or not additional copies of the endogeneous SIRT6 gene.

Publication Title

SIRT6 Suppresses Cancer Stem-like Capacity in Tumors with PI3K Activation Independently of Its Deacetylase Activity.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE51199
Cyclic-Di-Nucleotides Trigger ULK1 (ATG1) Phosphorylation of STING to Prevent Sustained Innate Immune Signaling
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Activation of the STING (Stimulator of Interferon Genes) pathway by microbial or self-DNA, as well as cyclic di nucleotides (CDN), results in the induction of numerous genes that suppress pathogen replication and facilitate adaptive immunity. However, sustained gene transcription is rigidly prevented to avoid lethal STING-dependent pro-inflammatory disease by mechanisms that remain unknown. We demonstrate here that after autophagy-dependent STING delivery of TBK1 (TANK-binding kinase 1) to endosomal/lysosomal compartments and activation of transcription factors IRF3 (interferon regulatory factors 3) and NF-B (nuclear factor kappa beta), that STING is subsequently phosphorylated by serine/threonine UNC-51-like kinase (ULK1/ATG1) and IRF3 function is suppressed. ULK1 activation occurred following disassociation from its repressor adenine monophosphate activated protein kinase (AMPK), and was elicited by CDNS generated by the cGAMP synthase, cGAS. Thus, while CDNs may initially facilitate STING function, they subsequently trigger negative-feedback control of STING activity, thus preventing the persistent transcription of innate immune genes.

Publication Title

Cyclic dinucleotides trigger ULK1 (ATG1) phosphorylation of STING to prevent sustained innate immune signaling.

Sample Metadata Fields

Age, Specimen part, Treatment

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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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