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accession-icon GSE23800
Analysis of differential gene expression in Cebpa-positive and Cebpa-negative hematopoietic stem cells using a Cebpa-Cre EYFP reporter mouse model
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

C/EBPalpha is a transcription factor critically involved in myeloid development and indispensable for formation of granulocytes. To track the cellular fate of stem and progenitor (LSK) cells, which express C/EBPalpha, we developed a mouse model expressing Cre recombinase from the Cebpa promoter and an inducible EYFP allele. We show that Cebpa/EYFP+ cells represent a significant subset of LSK cells, which predominantly give rise to myeloid cells in steady state hematopoiesis.

Publication Title

Lineage-instructive function of C/EBPα in multipotent hematopoietic cells and early thymic progenitors.

Sample Metadata Fields

Specimen part

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accession-icon GSE47700
Expression data for hematopoietic stem cells (lin- sca1+ ckit+) isolated from the bone marrow of Ercc1-deficient and proficient littermates
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To identify cellular and genetic abnormalities involved in interstrand cross link repair-deficient bone marrow failure and its transformation to leukemia, we used an Ercc1 hypomorphic mouse model (Ercc1 -/d).

Publication Title

ICL-induced miR139-3p and miR199a-3p have opposite roles in hematopoietic cell expansion and leukemic transformation.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP045671
Genome wide transcriptome analysis of skin harboring tissue-resident memory CD8+ T cells
  • organism-icon Mus musculus
  • sample-icon 37 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000, IlluminaMiSeq

Description

Comparison of the transcriptional profiles of full-thickness murine skin harboring tissue resident memory T cells exposed to specific or control trigger Overall design: Expression profiling by high throughput sequencing

Publication Title

T cell memory. Skin-resident memory CD8⁺ T cells trigger a state of tissue-wide pathogen alert.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP049068
Gene expression profiling of melanoma cell lines by high throughput sequencing
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

A panel of 29 melanoma cell lines were gene expression profiled by RNA-Seq. Overall design: mRNA profiles of 29 melanoma cell lines

Publication Title

Low MITF/AXL ratio predicts early resistance to multiple targeted drugs in melanoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP047299
Low MITF/AXL ratio predicts early resistance to multiple targeted drugs in melanoma
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Increased MITF expression contributes to melanoma progression and resistance to BRAF pathway inhibition. We show that, unexpectedly, lack of MITF is associated with more severe resistance to a range of inhibitors. Indeed, the presence of endogenous MITF was essential for robust drug responses. Both in primary and acquired resistance, MITF levels inversely correlated with expression of several activated receptor tyrosine kinases, most commonly AXL. The MITF-low/AXL-high/drug resistance phenotype was seen in roughly half of BRAF mutant and the majority of NRAS mutant melanoma cell lines. The dichotomous behavior of MITF in drug response was corroborated in vemurafenib-resistant biopsies, including MITF high and low clones in a relapsed patient. Drug cocktails containing AXL inhibitor enhanced melanoma cell elimination by BRAF or ERK inhibition. Our results demonstrate that a low MITF/AXL ratio predicts early resistance to multiple targeted drugs, and warrant clinical validation of AXL inhibitors to combat resistance of BRAF and NRAS mutant MITF-low melanomas. Overall design: Experssion analysis by RNAseq of 14 melanoma cell lines.

Publication Title

Low MITF/AXL ratio predicts early resistance to multiple targeted drugs in melanoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP064474
Patient-derived xenograft platform for metastatic melanoma: RNA sequencing of 4 melanoma PDX samples
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

The therapeutic landscape of melanoma is rapidly changing. While targeted inhibitors yield significant responses, their clinical benefit is often limited by the early onset of drug resistance. This motivates the pursuit to establish more durable clinical responses, by developing combinatorial therapies. But while potential new combinatorial targets steadily increase in numbers, they cannot possibly all be tested in patients. Similarly, while genetically engineered mouse melanoma models have great merit, they do not capture the enormous genetic diversity and heterogeneity typical in human melanoma. Furthermore, whereas in vitro studies have many advantages, they lack the presence of micro-environmental factors, which can have a profound impact on tumor progression and therapy response. This prompted us to develop an in vivo model for human melanoma that allows for studying the dynamics of tumor progression and drug response, with concurrent evaluation and optimization of new treatment regimens. Here, we present a collection of patient-derived xenografts (PDX), derived from BRAFV600E, NRASQ61 or BRAFWT/NRASWT melanoma metastases. The BRAFV600E PDX melanomas were acquired both prior to treatment with the BRAF inhibitor vemurafenib and after resistance had occurred, including six matched pairs. We find that PDX resemble their human donors’ melanomas regarding biomarkers, chromosomal aberrations, RNA expression profiles, mutational spectrum and targeted drug resistance patterns. Mutations, previously identified to cause resistance to BRAF inhibitors, are captured in PDX derived from resistant melanomThis melanoma PDX platform represents a comprehensive public resource to study both fundamental and translational aspects of melanoma progression and treatment in a physiologically relevant setting. Overall design: RNA sequencing of 4 melanoma PDX samples to validate the effects of a structural variant on BRAF mRNA in BRAF inhibitor resistant melanoma.

Publication Title

BRAF(V600E) Kinase Domain Duplication Identified in Therapy-Refractory Melanoma Patient-Derived Xenografts.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP029434
RNA-seq melanoma
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Using a chromatin regulator-focused shRNA library, we found that suppression of sex determining region Y-box 10 (SOX10) in melanoma causes resistance to BRAF and MEK inhibitors. To investigate how SOX10 loss leads to drug resistance, we performed transcriptome sequencing (RNAseq) of both parental A375 (Ctrl. PLKO) and A375-SOX10KD (shSOX10-1, shSOX10-2) cells. To ask directly whether SOX10 is involved indrug resistance in BRAF(V600E) melanoma patients, we isolated RNA from paired biopsies from melanoma patients (pre- and post- treatment) , that had gained BRAF or MEK inhibitor resistance . We performed RNAseq analysis to determine changes in transcriptome upon drug resistance. Overall design: Investigate genes regulated by SOX10 and differntial gene expression between pre- and post-treatment biopsies. We use short hairpin RNA to suppression SOX10 in A375 cells and cells were harvested with trizol reagent for RNA isolation. For paired biopsies (patient samples) we collected the first biopsy before the initiation of treatment and the second biopsy after drug resistance developed. RNA was isolated from FFPE samples and subjected for RNA sequencing.

Publication Title

Reversible and adaptive resistance to BRAF(V600E) inhibition in melanoma.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject

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accession-icon GSE85913
Gender and strain dependent differences in intestinal immunology correlate with differences in microbiota composition
  • organism-icon Mus musculus
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Sex and strain dependent differences in mucosal immunology and microbiota composition in mice.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE85911
Gender and strain dependent differences in intestinal immunology correlate with differences in microbiota composition (colon)
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

A dysbiosis in the intestinal microbiome plays a role in the pathogenesis of several immunological diseases. These diseases often show a gender bias, suggesting gender differences in immune responses and in the intestinal microbiome. We hypothesized that gender differences in immune responses are associated with gender differences in microbiota. We demonstrated mouse strain dependent gender differences in the intestinal microbiome. Interestingly, a cluster of colonic genes (related to humoral and cell-mediated immune responses) correlated oppositely with microbiota species abundant in B6 females and in BALB/c males. This suggests that with different genetic backgrounds, gender associated immune responses are differentially regulated by microbiota. The net result was the same, since both mouse strains showed similar gender induced differences in immune cell populations in the mesenteric lymph nodes. Therefore, host-microbe interactions might be more complicated than assumed, as bacterial-species adaptations might be highly dependent on the genetic make-up of the individual.

Publication Title

Sex and strain dependent differences in mucosal immunology and microbiota composition in mice.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE85912
Gender and strain dependent differences in intestinal immunology correlate with differences in microbiota composition (ileum)
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

A dysbiosis in the intestinal microbiome plays a role in the pathogenesis of several immunological diseases. These diseases often show a gender bias, suggesting gender differences in immune responses and in the intestinal microbiome. We hypothesized that gender differences in immune responses are associated with gender differences in microbiota. We demonstrated mouse strain dependent gender differences in the intestinal microbiome. Interestingly, a cluster of colonic genes (related to humoral and cell-mediated immune responses) correlated oppositely with microbiota species abundant in B6 females and in BALB/c males. This suggests that with different genetic backgrounds, gender associated immune responses are differentially regulated by microbiota. The net result was the same, since both mouse strains showed similar gender induced differences in immune cell populations in the mesenteric lymph nodes. Therefore, host-microbe interactions might be more complicated than assumed, as bacterial-species adaptations might be highly dependent on the genetic make-up of the individual.

Publication Title

Sex and strain dependent differences in mucosal immunology and microbiota composition in mice.

Sample Metadata Fields

Sex, Specimen part

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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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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