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accession-icon GSE75062
Discovery and validation of a gene expression profile for human islet integrity and transplant functionality
  • organism-icon Homo sapiens
  • sample-icon 58 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

There is growing evidence that transplantation of cadaveric human islets is an effective therapy for type 1 diabetes. However, gauging the suitability of islet samples for clinical use remains a challenge. We hypothesized that islet quality is reflected in the expression of specific genes. Therefore, gene expression in 59 human islet preparations was analyzed and correlated with diabetes reversal after transplantation in diabetic mice. Analysis yielded 262 differentially expressed probesets, which together predict islet quality with 83% accuracy. Pathway analysis revealed that failing islet preparations activated inflammatory pathways, while functional islets showed increased regeneration pathway gene expression. Gene expression associated with apoptosis and oxygen consumption showed little overlap with each other or with the 262 probeset classifier, indicating that the three tests are measuring different aspects of islet cell biology. A subset of 36 probesets surpassed the predictive accuracy of the entire set for reversal of diabetes, and was further reduced by logistic regression to sets of 14 and 5 without losing accuracy. These genes were further validated with an independent cohort of 16 samples. We believe this limited number of gene classifiers in combination with other tests may provide complementary verification of islet quality prior to their clinical use.

Publication Title

Gene expression signature predicts human islet integrity and transplant functionality in diabetic mice.

Sample Metadata Fields

Specimen part

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accession-icon GSE27947
Identification of differentially regulated genes in hematopoietic stem cells and URE leukemia cell line
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

H2.0-like homeobox regulates early hematopoiesis and promotes acute myeloid leukemia.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE27938
Identification of differentially regulated genes upon overexpression of HLX in wild-type hematopoietic stem cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The goal was to study the role of Hlx in hematopoiesis.

Publication Title

H2.0-like homeobox regulates early hematopoiesis and promotes acute myeloid leukemia.

Sample Metadata Fields

Specimen part

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accession-icon GSE27939
Identification of differentially regulated genes upon shRNA-mediated knock-down of HLX in the URE leukemia cell line
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

To study the role of Hlx in hematopoietic differentiation and tumorigenesis, URE cells were infected with short-hairpin-containing pSIH1-H1-copGFP lentiviral vector (System Biosciences, Mountain View, CA) containing either nucleotide sequences targeting luciferase (shControl) or HLX (shHLX). After 24hrs incubation in Iscoves modified Dulbeccos medium (IMDM) containing FBS, mIL-3, mIL-6 and mSCF with lentiviral supernatants in the presence of 8ug/ml polybrene, cells were cultured in fresh medium for several days. Subsequently, GFP+ cells were sorted by FACS and RNA was prepared.

Publication Title

H2.0-like homeobox regulates early hematopoiesis and promotes acute myeloid leukemia.

Sample Metadata Fields

Cell line

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accession-icon GSE107430
Gene expression profiling of HSCs treated with Eltrombopag
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Thrombopoietin receptor-independent stimulation of hematopoietic stem cells by eltrombopag.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE107429
Gene expression profiling of mouse HSCs treated with Eltrombopag
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Eltrombopag, a small molecule thrombopoietin receptor (TPO-R) agonist and potent intracellular iron chelator, has shown remarkable efficacy to stimulate sustained multilineage hematopoiesis in patients with bone marrow failure syndromes, suggesting an effect at the most immature hematopoietic stem and multipotent progenitor level. While the functional and molecular effects of Eltrombopag on megakaryopoiesis have been carefully studied in the recent past, insights into its mechanistic impact on the earliest stages of hematopoiesis have been limited. Additionally, previous studies also revealed molecular pathway of Eltrombopag apart from stimulation of TPO signaling, detail characterization remains to be addressed. In this study, we investigated the effects of Eltrombopag, in comparison with TPO, on highly-purified primary hematopoietic stem cells (HSCs) from healthy human donors. The binding of Eltrombopag to TPO-R is species-specific to human and primate cells. we also utilized HSCs isolated mouse as separation-of-function models to directly assess the molecular effect of Eltrombopag on HSCs independent of TPOR stimulation.

Publication Title

Thrombopoietin receptor-independent stimulation of hematopoietic stem cells by eltrombopag.

Sample Metadata Fields

Specimen part

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accession-icon GSE44107
Analysis of differentially expressed genes in murine Satb1-deficient hematopoietic stem cells (HSCs) compared to wild-type HSCs
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Gene expression analysis on purified murine hematopoietic stem cells (HSCs) deficient for Special AT-rich sequence-binding protein 1 (Satb1) compared to wild-type HSCs.

Publication Title

Satb1 regulates the self-renewal of hematopoietic stem cells by promoting quiescence and repressing differentiation commitment.

Sample Metadata Fields

Specimen part

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accession-icon GSE87830
In silico characterization of miRNA and long non-coding RNA interplay in multiple myeloma
  • organism-icon Homo sapiens
  • sample-icon 256 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

In Silico Characterization of miRNA and Long Non-Coding RNA Interplay in Multiple Myeloma.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE87829
In silico characterization of miRNA and long non-coding RNA interplay in multiple myeloma (95 MM lncRNA data sets)
  • organism-icon Homo sapiens
  • sample-icon 94 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The identification of deregulated microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) in multiple myeloma (MM) has progressively added a further level of complexity to MM biology. In addition, the cross-regulation between lncRNAs and miRNAs has begun to emerge, and theoretical and experimental studies have demonstrated the competing endogenous RNAs (ceRNAs) activity of lncRNAs as natural miRNA decoys in pathophysiological conditions, including cancer. Currently, information concerning lncRNA and miRNA interplay in MM is virtually absent. Herein, we investigated in silico the lncRNA and miRNA relationship in a representative datasets encompassing 95 MM and 30 plasma cell leukemia patients at diagnosis and in four normal controls, whose expression profiles were generated by a custom annotation pipeline to detect specific lncRNAs. We applied target prediction analysis based on miRanda and RNA22 algorithms to 235 lncRNAs and 459 miRNAs selected with a potential pivotal role in the pathology of MM. Among pairs that showed significant correlation between lncRNA and miRNA expression levels, we identified 10 lncRNA-miRNA relationships suggestive of novel ceRNA network with relevance in MM.

Publication Title

In Silico Characterization of miRNA and Long Non-Coding RNA Interplay in Multiple Myeloma.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE106745
In silico characterization of miRNA and long non-coding RNA interplay in multiple myeloma (30 PCL lncRNA data sets)
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The identification of deregulated microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) in multiple myeloma (MM) has progressively added a further level of complexity to MM biology. In addition, the cross-regulation between lncRNAs and miRNAs has begun to emerge, and theoretical and experimental studies have demonstrated the competing endogenous RNAs (ceRNAs) activity of lncRNAs as natural miRNA decoys in pathophysiological conditions, including cancer. Currently, information concerning lncRNA and miRNA interplay in MM is virtually absent. Herein, we investigated in silico the lncRNA and miRNA relationship in a representative datasets encompassing 95 MM and 30 plasma cell leukemia patients at diagnosis and in four normal controls, whose expression profiles were generated by a custom annotation pipeline to detect specific lncRNAs. We applied target prediction analysis based on miRanda and RNA22 algorithms to 235 lncRNAs and 459 miRNAs selected with a potential pivotal role in the pathology of MM. Among pairs that showed significant correlation between lncRNA and miRNA expression levels, we identified 10 lncRNA-miRNA relationships suggestive of novel ceRNA network with relevance in MM.

Publication Title

In Silico Characterization of miRNA and Long Non-Coding RNA Interplay in Multiple Myeloma.

Sample Metadata Fields

Specimen part, Disease

View Samples
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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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