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accession-icon SRP186927
AmpliSeq transcriptome profiling of human adipose tissue progenitor cell types
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Three different progenitor cell subsets in subcutaneous and visceral adipose tissues derived from 5 obese patients were subjected to AmpliSeq transcriptome profiling. Transcriptomic profiles were analyzed to compare progenitor cell subsets and the impact of subcutaneous and visceral adipose tissue location. Overall design: Transcriptomic profiling of 3 different progenitor cell types in subcutaneous and visceral adipose tissues derived from 5 obese patients (3X2X5=30 samples).

Publication Title

Lobular architecture of human adipose tissue defines the niche and fate of progenitor cells.

Sample Metadata Fields

Subject

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accession-icon GSE87486
Expression data from chick embryo olfactory placodes during initial period of GnRH neuronal production
  • organism-icon Gallus gallus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Chicken Genome Array (chicken)

Description

We used microarrays to detail the global program of gene expression underlying gonadotropin-releasing hormone (GnRH) generation and delamination from the olfactory placode.

Publication Title

Serotonin Receptor 1A (HTR1A), a Novel Regulator of GnRH Neuronal Migration in Chick Embryo.

Sample Metadata Fields

Specimen part

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accession-icon SRP163470
RNAseq of CD8+ and CD8- MAIT cells in human peripheral blood
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Mucosa-associated invariant T (MAIT) cells are unconventional innate-like T cells that recognize microbial riboflavin metabolites presented by the MHC class I-like protein MR1. Human MAIT cells predominantly express the CD8a co-receptor (CD8+), with a smaller subset lacking both CD4 and CD8 (DN). However, it is unclear if these two MAIT cell sub-populations distinguished by CD8a represent functionally distinct subsets. To address this, we investigated the phenotypic, transcriptional, and functional differences between CD8+ and DN MAIT cells using human samples from peripheral blood, mucosal tissues, and fetal tissues. Overall design: We FACS sorted CD8+ and CD8- MAIT cells from human peripheral blood and performed bulk RNAseq on these cells

Publication Title

The CD4<sup>-</sup>CD8<sup>-</sup> MAIT cell subpopulation is a functionally distinct subset developmentally related to the main CD8<sup>+</sup> MAIT cell pool.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE85033
A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Analysis of gene expression in pathologically confirmed glioblastoma (GBM) samples. These data were used to test a classifier that was generated to distinguish GBM tumor samples with loss of neurofibromin 1 (NF1) function

Publication Title

A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE67378
Effect of aryl hydrocarbon receptor (Ahr) gene knockout on expression profiles of aged (18-month-old) murine hematopoietic stem cells
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

As part of a study of the role of the aryl hydrocarbon receptor (Ahr) in maintenance and senescence of hematopoietic stem cells (HSC), global gene expression profiling was done with HSC isolated from 18-month-old Ahr-knockout and wild-type mice. HSC from aged AhR-KO mice had changes in expression of many genes related to HSC maintenance, consistent with the phenotype observed in aging Ahr-KO mice: decreased survival rate, splenomegaly, increased circulating white blood cells, hematopoietic cell accumulation in tissues, anemia, increased numbers of stem/progenitor and lineage-committed cells in bone marrow, decreased erythroid progenitor cells in bone marrow, and decreased self-renewal capacity of HSC.

Publication Title

Conditional deletion of Ahr alters gene expression profiles in hematopoietic stem cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE73753
Expression data of endothelial cells from mouse hindbrain and genetic Wnt-medulloblastoma and Shh-medulloblastoma mouse models
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

The childhood brain tumour medulloblastoma includes four subtypes with very different prognoses. Here, we show that paracrine signals driven by mutant Beta-Catenin in WNT-medulloblastoma an essentially curable form of the disease induce an aberrant fenestrated vasculature that permits the accumulation of high levels of intra-tumoural chemotherapy and a robust therapeutic response. In contrast, SHH-medulloblastoma a less curable disease subtype contains an intact blood brain barrier, rendering this tumour impermeable and resistant to chemotherapy. Remarkably, the medulloblastoma-endothelial cell paracrine axis can be manipulated in vivo, altering chemotherapy permeability and clinical response. Thus, medulloblastoma genotype dictates tumour vessel phenotype, explaining in part the disparate prognoses among medulloblastoma subtypes and suggesting an approach to enhance the chemoresponsiveness of other brain tumours.

Publication Title

Medulloblastoma Genotype Dictates Blood Brain Barrier Phenotype.

Sample Metadata Fields

Specimen part

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accession-icon SRP176108
Two distinct ontogenies confer heterogeneity to mouse brain microglia
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Hoxb8 mutant mice show compulsive behavior similar to trichotillomania, a human obsessive-compulsive-spectrum disorder. The only Hoxb8 lineage-labeled cells in the brains of mice are microglia, suggesting that defective Hoxb8 microglia caused the disorder. What is the source of the Hoxb8 microglia? It has been posited that all microglia progenitors arise at embryonic day (E) 7.5 during yolk sac hematopoiesis, and colonize the brain at E9.5. In contrast, we show the presence of two microglia subpopulations: canonical, non-Hoxb8 microglia and Hoxb8 microglia. Unlike non- Hoxb8 microglia, Hoxb8 microglia progenitors appear to be generated during the second wave of yolk sac hematopoiesis, then detected in the aorto-gonad-mesonephros (AGM) and fetal liver, where they are greatly expanded, prior to infiltrating the E12.5 brain. Further, we demonstrate that Hoxb8 hematopoietic progenitor cells taken from fetal liver are competent to give rise to microglia in vivo. Although the two microglial subpopulations are very similar molecularly, and in their response to brain injury and participation in synaptic pruning, they show distinct brain distributions which might contribute to pathological specificity. Non-Hoxb8 microglia significantly outnumber Hoxb8 microglia, but they cannot compensate for the loss of Hoxb8 function in Hoxb8 microglia, suggesting further crucial differences between the two subpopulations. Overall design: Green (non-Hoxb8, control) and yellow (Hoxb8, experimental) microglia data sets

Publication Title

Correction: Two distinct ontogenies confer heterogeneity to mouse brain microglia (doi: 10.1242/dev.152306).

Sample Metadata Fields

Age, Specimen part, Cell line, Subject

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accession-icon GSE22762
An eight-gene expression signature for the prediction of survival and time to treatment in chronic lymphocytic leukemia
  • organism-icon Homo sapiens
  • sample-icon 194 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Chronic lymphocytic leukemia (CLL) is a common and heterogeneous disease. An accurate prediction of outcome is highly relevant for the development of personalized treatment strategies. Microarray technology was shown to be a useful tool for the development of prognostic gene expression scores. However, there are no gene expression scores which are able to predict overall survival in CLL based on the expression of few genes that are better than established prognostic markers. We correlated 151 CLL microarray data sets with overall survival using Cox regression and supervised principal component analysis to derive a prognostic score. This score based on the expression levels of eight genes and was validated in an independent group of 149 CLL patients by quantitative real time PCR. The score was predictive for overall survival and time to treatment in univariate Cox regression in the validation data set (both: p<0.001) and in a multivariate analysis after adjustment for 17p and 11q deletions and the IgVH-status. The score achieved superior prognostic accuracy compared to models based on genomic aberrations and IgVH-status and may support personalized therapy.

Publication Title

An eight-gene expression signature for the prediction of survival and time to treatment in chronic lymphocytic leukemia.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon SRP068103
Abnormal X chromosome inactivation and sex-specific gene dysregulation after ablation of FBXL10
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The FBXL10 protein (also known as KDM2B, JHDM1B, CXXC2, and NDY1) is bound to essentially all CpG-rich promoters in the mammalian genome. FBXL10 is expressed as two isoforms: FBXL10-1, a longer form that contains an N-terminal JmjC domain with C- terminal F-box, CXXC, PHD, RING, and leucine rich repeat (LRR) domains, and FBXL10-2, a shorter form that initiates at an alternative internal exon and which lacks the JmjC domain but retains the other domains. Selective deletion of Fbxl10-1 had been reported to produce a minor and variable phenotype, and most mutant animals were essentially normal. We show here that deletion of Fbxl10-2 (in a manner that does not perturb expression of Fbxl10-1) resulted in a very different phenotype with craniofacial abnormalities, greatly increased lethality, and female sterility in surviving homozygous mutants. The phenotype of the Fbxl10-2 deletion was more severe in female mutants. We found that mutants that lacked both FBXL10-1 and -2 showed embryonic lethality and even more extreme sexual dimorphism, with more severe gene dysregulation in mutant female embryos. X-linked genes were most severely dysregulated, and there was marked overexpression of Xist in mutant females although genes that encode factors that bind to Xist RNA were globally down-regulated in mutant female as compared to male embryos. FBXL10 is the first factor shown to be required both for the normal expression and function of the Xist gene. Overall design: Expression analysis using RNA-seq was performed on WT and Fbxl10T/T male and female embryos.

Publication Title

Abnormal X chromosome inactivation and sex-specific gene dysregulation after ablation of FBXL10.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon GSE47002
Transcriptome comparison of murine wild-type and dumbo retinas at P15
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Hmx1 is a transcription factor expressed in the developing eye and ear and in some other parts of the nervous system. Dumbo mice are carrying the Hmx1 p.Q64X loss-of-function mutation (Munroe et al., 2009. BMC Developmental Biology). Transcriptomic analyses of this mouse model allows to decipher biological pathways under the control of Hmx1. In our study, we used it to better understand the role of Hmx1 in the retina and to identify several of its target genes.

Publication Title

Identification of HMX1 target genes: a predictive promoter model approach.

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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