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accession-icon SRP083014
RNA-Seq analysis of 4N and 2N RPE1 cells following polyploid induction via cytokinesis failure by siRNA knockdown of Anillin [tpo8]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Tetraploidization, or genome doubling, is a prominent event in tumorigenesis, primarily because cell division in polyploid cells is error-prone and produces aneuploid cells. This study investigates changes in gene expression evoked in acute and adapted tetraploid cells and their impact on cell-cycle progression. Acute polyploidy was generated by knockdown of essential regulator of cytokinesis Anillin, which resulted in cytokinesis failure and formation of binucleate cells, or by chemical inhibition of Aurora kinases, causing abnormal mitotic exit with formation of single cells with aberrant nuclear morphology. Transcriptome analysis of these acute tetraploid cells revealed common signatures of activation of the tumor-suppressor protein p53. Suppression of proliferation in these cells was dependent on p53 and its transcriptional target - Cdk inhibitor p21. Rare proliferating tetraploid cells can emerge from acute polyploid populations. Gene expression analysis of single-cell derived, adapted tetraploid clones showed upregulation of several p53 target genes and cyclin D2, the activator of Cdk4/6/2. Overexpression of cyclin D2 in diploid cells strongly potentiated the ability to proliferate with increased DNA content despite the presence of functional p53. These results point out that p53-mediated suppression of proliferation of polyploid cells can be averted by increased levels of oncogenes such as Cyclin D2, elucidating a possible route for tetraploidy-mediated genomic instability in carcinogenesis. Overall design: Three biological replicates of cells treated with siRNA against Anillin or a non-targeting control are FACS sorted into 2N or 4N populations and assessed for gene expression differences via RNA Seq for a total of 12 samples.

Publication Title

Transcriptome analysis of tetraploid cells identifies cyclin D2 as a facilitator of adaptation to genome doubling in the presence of p53.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE69915
Expression profiling of 5 novel breast cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The Fra-1 transcription factor promotes tumor cell growth, invasion and metastasis. While characterizing five breast cancer cell lines derived from primary human breast tumors, we identified BRC-31 as a novel basal-like cell model that expresses elevated Fra-1 levels. BRC-31 cells display elevated FAK, SRC and ERK2 phosphorylation relative to luminal breast cancer models. Inhibition of this signaling axis, through the use of pharmacological inhibitors, reduces the phosphorylation and stabilization of Fra-1. Elevated integrin V3 expression in these cells suggested that integrin receptors might activate this FAK-SRC-ERK2 signaling axis to enhance Fra-1 phosphorylation. These cells also express high levels of uPAR, a GPI-anchored receptor that has been shown to enhance integrin-mediated signaling initiated by Vitronectin engagement. Transient knockdown of uPAR in BRC31 cells grown on Vitronectin reduces Fra-1 phosphorylation and stabilization and uPAR and Fra-1 are required for Vitronectin-induced cell invasion. In clinical samples, a molecular component signature consisting of Vitronectin-uPAR-uPA-Fra-1 predicts poor overall survival in patients with breast cancer and correlates with a Fra-1 transcriptional signature. Taken together, we have identified a novel-signaling axis that leads to phosphorylation and stabilization of Fra-1, a transcription factor that is emerging as an important modulator of breast cancer progression and metastasis.

Publication Title

Integrin-uPAR signaling leads to FRA-1 phosphorylation and enhanced breast cancer invasion.

Sample Metadata Fields

Age, Disease, Disease stage

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accession-icon GSE77366
Expression data from CD8 memory T cells after IN immunization compared to IM immunization
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Intranasal (IN) immunization induces different genotype expression in CD8 memory T cells compared to the CD8 memory T cells induced by intramuscular (IM) immunization. We used microarrays to detail the global program of gene expression underlying the differential induction after IN or IM immunization.

Publication Title

Induction of resident memory T cells enhances the efficacy of cancer vaccine.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE58697
Expression data from 128 Desmoids
  • organism-icon Homo sapiens
  • sample-icon 123 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

One of the main problems in managing desmoids tumors is their locoregional aggressiveness and their high ability to recur after initial treatment. In our work, with the goal to identify molecular markers that can predict Progression-Free Survival, gene-expression screening was conducted on 128 available independent untreated primary desmoid tumors using cDNA microarray. By analyzing expression profiles, we have identified, for the first time, a gene expression signature that is able to predict Progression-Free Survival. This molecular signature identified two groups with clearly distinct Progression-Free Survival in the two sets of subjects. Patients in good prognostic group had achieved a progression-free 2-year survival rate of 86% while patients in poor prognostic group had a progression-free 2-year survival rate of 44%.

Publication Title

Gene Expression Profiling of Desmoid Tumors by cDNA Microarrays and Correlation with Progression-Free Survival.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE58403
FOXO4 knockdown in LNCaP prostate cancer cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Compares shFOXO4 vs. Control in LNCaP grown in culture, or in nude mice as primary orthotopic tumors or lymph node metastases

Publication Title

A genome-wide RNAi screen identifies FOXO4 as a metastasis-suppressor through counteracting PI3K/AKT signal pathway in prostate cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE37896
Expression data from iPSCs generated with Yamanaka factors and miR-302 cluster
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Baseline gene expression of adipose stem cell derived iPSCs generated by lentiviral Yamanaka 4 factors. We used microarrays to analyze the global gene expression of hACS derived iPSCs with KMOS and KMOS+miR-302.

Publication Title

MicroRNA-302 increases reprogramming efficiency via repression of NR2F2.

Sample Metadata Fields

Specimen part

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accession-icon GSE64019
Mouse Smarcb1-deficient models recapitulate subtypes of human rhabdoid tumors.
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 80 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Rhabdoid Tumors (RT) are highly aggressive tumors that are frequently localized in the central nervous system (CNS) where they are termed atypical teratoid and rhabdoid tumors (ATRT). We generated conditional Smarcb1-deficient mouse model leads to CNS Smarcb1-deficient tumors.

Publication Title

The occurrence of intracranial rhabdoid tumours in mice depends on temporal control of Smarcb1 inactivation.

Sample Metadata Fields

Specimen part

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accession-icon GSE94321
Embryonic signature distinguishes pediatric and adult rhabdoid tumors from other SMARCB1-deficient cancers
  • organism-icon Homo sapiens
  • sample-icon 67 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We used microarrays to compare gene expression profilings in various SMARCB1-deficient tumors.

Publication Title

Embryonic signature distinguishes pediatric and adult rhabdoid tumors from other SMARCB1-deficient cancers.

Sample Metadata Fields

Specimen part

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accession-icon GSE26669
Expression data of alloantigen stimulated splenocytes treated with leukocyte costimulatory blockade antibodies or no treatment
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To elucidate the gene expression footprint of antigenically challenged T-cells which had been treated with anti-LFA-1, CTLA4Ig, anti-CD40-ligand antibodies, we performed microarray gene expression analysis comparing the expression profile of costimulatory blockade treated and untreated responder T-cells.

Publication Title

Short-term immunosuppression promotes engraftment of embryonic and induced pluripotent stem cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE36228
Affymetrix Cotton Genome array expression data of cotton fiber at different developmental stages from different varieties of Gossypium hirsutum
  • organism-icon Gossypium hirsutum
  • sample-icon 89 Downloadable Samples
  • Technology Badge Icon Affymetrix Cotton Genome Array (cotton)

Description

Cotton fiber were used for the expression analysis at different developmental stages

Publication Title

Transcriptome dynamics during fibre development in contrasting genotypes of Gossypium hirsutum L.

Sample Metadata Fields

No sample metadata fields

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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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