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accession-icon GSE53103
Expression data from knockdown and Sendai virus induction experiments in Human cells
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We have carried out transcriptional profile analysis in macroH2A knockdown cells (Namalwa B cells and HeLa cells) and demonstrated that this histone variant plays positive and negative roles in transcription. We also demonstrated the role of macroH2A in regulating the response to Sendai Virus infection.

Publication Title

Composite macroH2A/NRF-1 Nucleosomes Suppress Noise and Generate Robustness in Gene Expression.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE65505
Gene expression profiling in response to radiation treatment in human breast cancer
  • organism-icon Homo sapiens
  • sample-icon 61 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Treatment-related morbidities have been linked to the large post-operative treatment volumes required for external beam partial breast irradiation (PBI). Alternative PBI techniques require equipment that is not readily available. To address these issues, we designed a phase I trial utilizing widely available technology to 1) evaluate the safety of a single radiation treatment delivered preoperatively to the small-volume, intact breast tumor and 2) identify imaging and genomic markers of radiation response.

Publication Title

FAS Death Receptor: A Breast Cancer Subtype-Specific Radiation Response Biomarker and Potential Therapeutic Target.

Sample Metadata Fields

Specimen part

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accession-icon GSE59732
Gene expression profiling in response to radiation treatment in breast cancer [cell lines]
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Introduction: Breast radiotherapy is currently one size fits all regardless of breast cancer subtype (eg. luminal, basal). However, recent clinical data suggests that radiation response may vary significantly among subtypes. Therefore, current practice leads to over- or under-treatment of women whose tumors are more or less radiation responsive. We hypothesized that this clinical variability may be due, in part, to differences in cellular radiation response. Methods: We exposed 16 biologically-diverse breast tumor cell lines to 0 or 5GY radiation. Microarray analysis was performed on RNA harvested from those cell lines. Samples were run in triplicate. Following quality assessment, differential gene expression analysis was performed using a two-way multiplicative linear mixed-effects model. A candidate radiation response biomarkers with biologically plausible role in radiation response, were identified and confirmed at the RNA and protein level with qPCR and Western blotting assays. Induction in human breast tumors was confirmed in 32 patients with paired pre- and post-radiation tumor samples using IHC and microarray analysis. Quantification of protein was performed in a blinded manner and included positive and negative controls.

Publication Title

FAS Death Receptor: A Breast Cancer Subtype-Specific Radiation Response Biomarker and Potential Therapeutic Target.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE77512
A specialized mechanism of translation mediated by FXR1a-associated microRNP in cellular quiescence
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

MicroRNAs predominantly decrease gene expression; however, specific mRNAs are translationally upregulated in quiescent (G0) mammalian cells and immature Xenopus laevis oocytes by an FXR1a-associated microRNP (microRNA-protein complex) that lacks the microRNP repressor, GW182. We conducted global proteomic analysis in THP1 cells depleted of FXR1 to globally identify activation targets of more than one microRNA, since FXR1 is required for microRNAmediated translation activation in THP1 G0 cells by FXR1-microRNPs.Since proteomic data changes could also be due to changes at the RNA level, total RNA levels in FXR1knockdown compared to control shRNA cells were examined in parallel by microarray analysis using Affymetrix Human GeneChip 2.0 ST.

Publication Title

A Specialized Mechanism of Translation Mediated by FXR1a-Associated MicroRNP in Cellular Quiescence.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP186787
Inferring dynamic regulatory programs in non-stationary expression time courses with applications to early human neural development
  • organism-icon Homo sapiens
  • sample-icon 58 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We generated RNA-seq data to measure transcriptional profiles of twenty hPSC-derived NSC populations, representing distinct regions of the developing human hindbrain and rostral cervical spinal cord. These cells are differentiated using a protocol that induces collinear activation of region-specific HOX genes during exposure to FGF8 and Wnt signaling (Lippmann et al, 2015 PMID:25843047). By transitioning to media containing retinoic acid after varying durations of Wnt signaling, NSCs are generated with unique rostrocaudal identities that uniformly express the neuroectodermal marker Pax6 and form N-cadherin+ rosette structures in vitro. Overall design: The data consist of RNA-seq measurements taken from hPSC-derived NSCs that were exposed to CHIR99021 for differents amount of time (2-72hr) prior to retinoic acid treatment. Each time point is represented in triplicate, with the exception of 48 hours, for which one replicate (48_B1) was filtered due to excessive zero-count genes.

Publication Title

Inferring Regulatory Programs Governing Region Specificity of Neuroepithelial Stem Cells during Early Hindbrain and Spinal Cord Development.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP072836
Determine the function of lncBATE10 in brown and white adipocyte culture
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: Determine the function of lncBATE10 in brown and white adipocyte differentiation Methods: primary brown and white apreadipocytes were isolated by cell culture. We infected brown preadipocytes with retroviral shRNA targeting lncBATE10 or with retrovirus overexpressing lncBATE10. Cells were induced to differetinate for 5 days. Total RNA were harvested for RNA-seq Conclusions: Our study shows that lncBATE10 is required for BAT-selective program expression. Overexpression of lncBATE10 is not sufficient to promote BAT marker expression. Overall design: total RNAs from primary brown and white adipocytes cultures (sh-control, shRNA knockdown, overexpression vector, overexpression of lncBATE10) were generated by deep sequencing using Hi-seq 2000

Publication Title

Dynamic transcriptome changes during adipose tissue energy expenditure reveal critical roles for long noncoding RNA regulators.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE73571
TUMOR INITIATING CELLS AND IGF/FGF SIGNALING CONTRIBUTE TO SORAFENIB RESISTANCE IN HEPATOCELLULAR CARCINOMA
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

OBJECTIVE: Sorafenib is effective in hepatocellular carcinoma (HCC), but patients ultimately present disease progression. Molecular mechanisms underlying acquired resistance are still unknown. Herein, we characterize the role of tumor-initiating cells (T-ICs) and signaling pathways involved in sorafenib resistance. DESIGN: HCC xenograft mice treated with sorafenib (n=22) were explored for responsiveness (n=5) and acquired resistance (n=17). Mechanism of acquired resistance were assessed by: 1) Role of T-ICs by in vitro sphere formation and in vivo tumorigenesis assays using NOD/SCID mice, 2) Activation of alternative signaling pathways and 3) Efficacy of anti-FGF and anti-IGF drugs in experimental models. Gene expression (microarray, qRT-PCR) and protein analyses (immunohistochemistry, western blot) were conducted. A novel gene signature of sorafenib resistance was generated and tested in 2 independent cohorts. RESULTS: Sorafenib-acquired resistance tumors showed significant enrichment of T-ICs (164 cells needed to create a tumor) vs. sorafenib-sensitive tumors (13400 cells) and non-treated tumors (1292 cells), p<0.001. Tumors with sorafenib-acquired resistance were enriched with IGF and FGF signaling cascades (FDR<0.05). In vitro, cells derived from sorafenib-acquired resistant tumors and two sorafenib-resistant HCC cell lines were responsive to IGF or FGF inhibition. In vivo, FGF blockade delayed tumor growth and improved survival in sorafenib-resistant tumors. A sorafenib-resistance 175-gene signature was characterized by enrichment of progenitor-cell features, aggressive tumoral traits and predicted poor survival in 2 cohorts (n=442 HCC patients). CONCLUSION: Acquired resistance to sorafenib is driven by tumor initiating cells with enrichment of progenitor markers and activation of IGF and FGF signaling. Inhibition of these pathways would benefit a subset of patients after sorafenib progression.

Publication Title

Tumour initiating cells and IGF/FGF signalling contribute to sorafenib resistance in hepatocellular carcinoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE20238
Gene Signature to Identify Vascular Invasion in Human Hepatocellular Carcinoma
  • organism-icon Homo sapiens
  • sample-icon 91 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

Gene-expression signature of vascular invasion in hepatocellular carcinoma.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE58290
Expression data for childhood BCP-ALL xenografts
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Primary xenografts were made from a variety of different high-risk childhood BCP-ALL leukemia samples.

Publication Title

Evaluation of the in vitro and in vivo efficacy of the JAK inhibitor AZD1480 against JAK-mutated acute lymphoblastic leukemia.

Sample Metadata Fields

Specimen part

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accession-icon GSE51250
Combined targeting of JAK2 and Bcl-xL/Bcl-2 as a novel curative treatment for malignancies expressing mutant JAK2 and overcoming acquired resistance to single agent JAK2 inhibitors
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2), Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Combined targeting of JAK2 and Bcl-2/Bcl-xL to cure mutant JAK2-driven malignancies and overcome acquired resistance to JAK2 inhibitors.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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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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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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