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accession-icon GSE30028
Expression data from control and Pbx1-null CMPs and GMPs
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The capacity of the hematopoietic system to promptly respond to peripheral demands relies on adequate pools of progenitors able to transiently proliferate and differentiate in a regulated manner. However, little is known about factors that may restrain progenitor maturation to maintain their reservoirs. In addition to a profound defect in hematopoietic stem cell (HSC) self-renewal, conditional knockout mice for the Pbx1 proto-oncogene have a significant reduction in lineage-restricted progenitors, including common myeloid progenitors (CMPs) and, to a lesser extent, granulocyte-monocyte progenitors (GMPs).

Publication Title

Pbx1 restrains myeloid maturation while preserving lymphoid potential in hematopoietic progenitors.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE21689
MozAtlas: A comprehensive gene expression atlas of sex- and tissue-specificity in the malaria vector, Anopheles gambiae.
  • organism-icon Anopheles gambiae
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Plasmodium/Anopheles Genome Array (plasmodiumanopheles)

Description

Background.

Publication Title

A comprehensive gene expression atlas of sex- and tissue-specificity in the malaria vector, Anopheles gambiae.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE144248
Cholesterol homeostasis modulates platinum sensitivity in human ovarian cancer
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Here we show that platinum-resistant ovarian cancer cells also show reduced cholesterol biosynthesis, and mostly rely on uptake of exogenous cholesterol for their needs. Expression of FDPS and OSC, enzymes involved in cholesterol synthesis, are decreased both in drug-resistant cells and upon TRAP1 silencing, whereas the expression of LDL receptor, the main mediator of extracellular cholesterol uptake, is increased. Strikingly, treatment with different statins to inhibit cholesterol synthesis reduces cisplatin-induced apoptosis, whereas silencing of LIPG, an enzyme involved in lipid metabolism, increases sensitivity to the drug.

Publication Title

Cholesterol Homeostasis Modulates Platinum Sensitivity in Human Ovarian Cancer.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE51066
A genomic classifier predicting metastatic disease progression in men with biochemical recurrence after prostatectomy
  • organism-icon Homo sapiens
  • sample-icon 85 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

BACKGROUND: Due to their varied outcomes, men with biochemical recurrence (BCR) following radical prostatectomy (RP) present a management dilemma. Here, we evaluate Decipher, a genomic classifier (GC), for its ability to predict metastasis following BCR.

Publication Title

A genomic classifier predicting metastatic disease progression in men with biochemical recurrence after prostatectomy.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE46691
Discovery and validation of a prostate cancer genomic classifier that predicts early metastasis following radical prostatectomy
  • organism-icon Homo sapiens
  • sample-icon 545 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Purpose: Clinicopathologic features and biochemical recurrence are sensitive, but not specific, predictors of metastatic disease and lethal prostate cancer. We hypothesize that a genomic expression signature detected in the primary tumor represents true biological potential of aggressive disease and provides improved prediction of early prostate cancer metastasis.

Publication Title

Discovery and validation of a prostate cancer genomic classifier that predicts early metastasis following radical prostatectomy.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP067686
AGM hematopoietic stem cells are differentially regulated by BMP and Hedgehog signalling pathways
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The first HSCs are produced in the aorta-gonadmesonephros (AGM) region of the embryo through endothelial to a hematopoietic transition. BMP4 and Hedgehog affect their production/expansion, but it is unknown whether they act to affect the same HSCs. In this study using the BRE GFP reporter mouse strain that identifies BMP/Smad-activated cells, we find that the AGM harbors two types of adult-repopulating HSCs upon explant culture. Overall design: Embryonic day 11 AGM are dissected and either analyzed directly, or after explant culture in conditions containing BMP/Hedgehog with or without cyclopamine. EC: endothelial enriched (CD31+Kit-); MC: mesenchymal cell enriched (CD31-Kit-); HPSC: hematopoietic progenitor/stem cell enriched; AGM11: E11 fresh AGMs; AGMex: AGM after explant culture; AGMcy: AGM after explant in presence of cyclopamine; CD31p: CD31 positive; CD31n: CD31 negative; KITp: c-Kit positive; KITn: c-Kit negative; BREp: BRE-GFP positive; BREn: BRE-GFP negative

Publication Title

BMP and Hedgehog Regulate Distinct AGM Hematopoietic Stem Cells Ex Vivo.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE16130
Gene expression of TCR-alpha/beta CD4- CD8- human T cells
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The origin and function of human double negative (DN) TCR-alpha/beta T cells is unknown. They are thought to contribute to the pathogenesis of systemic lupus erythematosus because they expand and accumulate in inflamed organs. Here we provide evidence that human TCR-alpha/beta CD4- CD8- DN T cells derive exclusively from activated CD8+ T cells. Freshly isolated TCR-alpha/beta DN T cells display a distinct gene expression and cytokine production profile. DN cells isolated from peripheral blood as well as DN cells derived in vitro from CD8+ T cells, produce a defined array of pro-inflammatory mediators that includes IL-1, IL-17, IFN-gama, CXCL3, and CXCL2. These results indicate that, upon activation, CD8+ T cells have the capacity to acquire a distinct phenotype that grants them inflammatory capacity.

Publication Title

Human TCR-alpha beta+ CD4- CD8- T cells can derive from CD8+ T cells and display an inflammatory effector phenotype.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE62116
Validation of a genomic classifier that predicts metastasis following radical prostatectomy in at risk patient population
  • organism-icon Homo sapiens
  • sample-icon 235 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Purpose: Patients with locally advanced prostate cancer after radical prostatectomy are candidates for secondary therapy. However, this higher risk population is heterogeneous. Many cases do not metastasize even when conservatively managed. Given the limited specificity of pathological features to predict metastasis, newer risk prediction models are needed. We report a validation study of a genomic classifier that predicts metastasis after radical prostatectomy in a high risk population. Method:A case-cohort design was used to sample 1,010 patients after radical prostatectomy at high risk for recurrence who were treated from 2000 to 2006. Patients had preoperative prostate specific antigen greater than 20 ng/ml, Gleason 8 or greater, pT3b or a Mayo Clinic nomogram score of 10 or greater. Patients with metastasis at diagnosis or any prior treatment for prostate cancer were excluded from analysis. A 20% random sampling created a subcohort that included all patients with metastasis. We generated 22-marker genomic classifier scores for 235 patients with available genomic data. ROC and decision curves, competing risk and weighted regression models were used to assess genomic classifier performance.

Publication Title

Validation of a genomic classifier that predicts metastasis following radical prostatectomy in an at risk patient population.

Sample Metadata Fields

Age

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accession-icon GSE49466
Effects of PP2Ac over-expression on mouse nave CD4 T cell gene profile upon activation
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

A transgenic mouse was generated using a CD2-driven transgene containing the cDNA of Ppp2ca to achieve over-expression of PP2Ac in T cells. Nave CD4 T cells were isolated and lysed at times 0, 6, and 24 hours after stimulation with anti-CD3 and anti-CD28

Publication Title

Protein phosphatase 2A enables expression of interleukin 17 (IL-17) through chromatin remodeling.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP067359
Transcriptome sequencing of skeletal muscle for PRMT7 knockout mouse
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We report that whole body PRMT7-/- adult mice display a significant reduction in in muscle mass. RNA sequencing was performed to identify potential PRMT7 targets. We found that top canonical pathways affected by the loss of PRMT7 includes cell cycle and senescence. Overall design: RNA was extracted from tibialis anterior muscles harvested from 3 WT and 3 PRMT7 null mice at 8months. RNA sequencing was performed to compare mRNA in skeletal muscles between WT and KO mice.

Publication Title

PRMT7 Preserves Satellite Cell Regenerative Capacity.

Sample Metadata Fields

Age, 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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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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