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accession-icon SRP104148
Next Generation Sequencing Facilitates Differential Expression Analysis of miRNA Expression In the Whole Blood Samples Obtained From Prostate Cancer Patients vs. Controls
  • organism-icon Homo sapiens
  • sample-icon 37 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Research conducted using the novel approach of Next Generation Sequencing to determine the differentially expressed microRNAs in whole blood samples from prostate cancer patients. Overall design: The whole blood miRNA samples from both controls and patients were sequences and a differential expressional analysis was conducted to identify possible biomarkers to distinguish patients from controls.

Publication Title

A Panel of MicroRNAs as Diagnostic Biomarkers for the Identification of Prostate Cancer.

Sample Metadata Fields

Specimen part, Disease stage, Subject

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accession-icon GSE44967
IQGAP1 Scaffold-Kinase Interaction Blockade Selectively Targets Ras-MAP Kinase Driven Tumors
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

MAPK scaffolds, such as IQGAP1, assemble pathway kinases together to effect signal transmission and disrupting scaffold function therefore offers a potentially orthogonal approach to MAPK cascade inhibition. Consistent with this possibility, we observed an IQGAP1 requirement in Ras-driven tumorigenesis in mouse and human tissue. Delivery of the IQGAP1 WW peptide sequence that mediates Erk1/4 binding, moreover, disrupted IQGAP1-Erk1/2 interactions, abolished Ras/Raf-driven tumorigenesis, bypassed acquired resistance to the B-Raf inhibitor vemurafinib (PLX- 4032), and acts as a systemically deliverable therapeutic to significantly increase lifespan of tumor bearing mice. Scaffold-kinase interaction blockade (SKIB) acts by a mechanism distinct from direct kinase inhibition and represents a strategy to target over-active oncogenic kinase cascades in cancer.

Publication Title

IQGAP1 scaffold-kinase interaction blockade selectively targets RAS-MAP kinase-driven tumors.

Sample Metadata Fields

Time

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accession-icon GSE53358
Gene expression analysis of Wnt+ and Wnt- effector CD8 T cells
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Wnt signal transduction during an immune response is involved in the establishment of functional CD8 T cell memory

Publication Title

Differences in the transduction of canonical Wnt signals demarcate effector and memory CD8 T cells with distinct recall proliferation capacity.

Sample Metadata Fields

Specimen part

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accession-icon GSE50686
Role of MITF in melanoma
  • organism-icon Homo sapiens
  • sample-icon 8 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

Enhancer-targeted genome editing selectively blocks innate resistance to oncokinase inhibition.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE50649
COLO829 treatment with PLX4032 and/or MITF knockdown
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Thousands of enhancers are characterized in the human genome, yet few have been shown important in cancer. Inhibiting oncokinases, such as EGFR, ALK, HER2, and BRAF, is a mainstay of current cancer therapy but is hindered by innate drug resistance mediated by upregulation of the HGF receptor, MET. The mechanisms mediating such genomic responses to targeted therapy are unknown. Here, we identify lineage-specific MET enhancers for multiple common tumor types, including a melanoma lineage-specific MET enhancer that displays inducible chromatin looping and MET gene induction upon BRAF inhibition. Epigenomic analysis demonstrated that the melanocyte-specific transcription factor, MITF, mediates this enhancer function. Targeted genomic deletion (<7bp) of the MITF motif within the MET enhancer suppressed inducible chromatin looping and innate drug resistance, while maintaining MITF-dependent, inhibitor-induced melanoma cell differentiation. Epigenomic analysis can thus guide functional disruption of regulatory DNA to decouple pro- and anti-oncogenic functions of tumor lineage-enriched transcription factors mediating innate resistance to oncokinase therapy.

Publication Title

Enhancer-targeted genome editing selectively blocks innate resistance to oncokinase inhibition.

Sample Metadata Fields

Cell line

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accession-icon SRP079900
Metabolic exhaustion of T cells in chronic infection is mediated by inhibitory receptor PD-1 and T cell receptor dependent transcription factor IRF4
  • organism-icon Mus musculus
  • sample-icon 33 Downloadable Samples
  • Technology Badge IconNextSeq 500, Illumina HiSeq 2000

Description

During chronic stimulation T cells acquire an exhausted phenotype characterized by expression of multiple inhibitory receptors and down-modulation of effector function. While this is required for the protection of the organism from excessive immunopathology, it also prevents successful immunity against persistent viruses or tumor cells. Here we demonstrate that CD8+ T cell exhaustion is characterized by a progressive decline in cellular metabolism. Exhausted T cells exhibit reduced metabolic reserve, impaired fatty acid oxidation and production of mitochondrial reactive oxygen species (ROS). Blockade of inhibitory PD-1/PD-L1 signaling rescued mitochondrial biogenesis, oxidative phosphorylation and ROS production, which was required for efficient restoration of cellular expansion and effector function. Expression of inhibitory receptors and impaired metabolic function was fuled by high amounts of IRF4, BATF and NFAT, which formed a TCR-responsive transcriptional circuit that sustained the transcriptional network responsible for T cell exhaustion. Overall design: Transcriptional profiling of T cells in mice with chronic and acute infections using RNA sequencing

Publication Title

Transcription Factor IRF4 Promotes CD8<sup>+</sup> T Cell Exhaustion and Limits the Development of Memory-like T Cells during Chronic Infection.

Sample Metadata Fields

Specimen part, Cell line, Subject, Time

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accession-icon GSE58161
Suppression of progenitor differentiation requires the long noncoding RNA ANCR
  • organism-icon Homo sapiens
  • sample-icon 8 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

Suppression of progenitor differentiation requires the long noncoding RNA ANCR.

Sample Metadata Fields

Specimen part, Disease, Treatment

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accession-icon GSE34767
Suppression of Progenitor Differentiation Requires the Long Non-Coding RNA ANCR
  • organism-icon Homo sapiens
  • sample-icon 4 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

Suppression of progenitor differentiation requires the long noncoding RNA ANCR.

Sample Metadata Fields

Specimen part

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accession-icon GSE34528
Suppression of Progenitor Differentiation Requires the Long Non-Coding RNA ANCR [HG-U133_Plus_2]
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Long non-coding RNAs (lncRNAs) regulate diverse processes, yet a potential role for lncRNAs in maintaining the undifferentiated state in somatic tissue progenitor cells remains uncharacterized. We used transcriptome sequencing and tiling arrays to compare lncRNA expression in epidermal progenitor populations versus differentiating cells. We identified ANCR (anti differentiation ncRNA) as an 855 bp lncRNA down-regulated during differentiation. Depleting ANCR in progenitor-containing populations, without any other stimuli, led to rapid differentiation gene induction. In epidermis, ANCR loss abolished the normal exclusion of differentiation from the progenitor-containing compartment. The ANCR lncRNA is thus required to enforce the undifferentiated cell state within epidermis.

Publication Title

Suppression of progenitor differentiation requires the long noncoding RNA ANCR.

Sample Metadata Fields

Specimen part

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accession-icon SRP077748
Memory-like CD8 T-cells sustain the immune response to chronic viral infections.
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We have discovered a small subpopulation of virus-specific CD8 T-cells that sustains the T-cell response in chronic infections. These cells are defined by - and depend on - the expression of the transcription factor Tcf1 (T cell factor 1) and show key characteristics of central memory cells while lacking an effector signature. Unlike conventional memory cells, Tcf1+ T-cells display hallmarks of an “exhausted” phenotype, including the expression of certain inhibitory receptors. Overall design: Naive Tcf1-GFP+ P14 cells (Naive) were transferred into Vb5 recipient mice (CD45.1) prior to infection with LCMV clone 13 (c13). Tcf1-GFP+ P14 cells (chronic Tcf1+) and Tcf1-GFP- P14 cells (chronic Tcf1-) were flow sorted on day 28 post infection. Naive Tcf1-GFP+ P14 cells (Naive) were also transferred into C57BL/6 hosts (CD45.1.2) prior to infection with LCMV Armstrong (Arm). Tcf1-GFP+ P14 cells (memory Tcf1+) and Tcf1-GFP- P14 cells (memory Tcf1-) were flow sorted on day 28 post infection. Total RNA was extracted, cDNA libraries prepared and sequencing was performed using Illumina HiSeq 2500 technology.

Publication Title

T Cell Factor 1-Expressing Memory-like CD8(+) T Cells Sustain the Immune Response to Chronic Viral Infections.

Sample Metadata Fields

Specimen part, Cell line, Subject

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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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