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accession-icon SRP150322
RNA Sequencing to Identify Regulators of Axon Regeneration in Mouse Retinal Ganglion Cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Purpose: The goals of this study are to identify the transcriptional profile of retinal ganglion cells (RGCs) with the capacity to regenerate an axon, and contrast this profile with the profile of RGCs that cannot regenerate an axon. Methods: See sample pages for protocols for tissue preparation, RNA extraction and purification, library construction and data processing. Results: RNA from the 12 samples was sequenced to an average depth of 42 million reads. Genes were considered expressed if a gene had an expression of 1 count per million in 3 of the 12 samples. There were 13,406 genes that met this criterion. Conclusions: Our study represents the first analysis by NGS of highly-purified RGCs in the context of axonal injury Overall design: RGC mRNA profiles of melanopsin RGCs and ON-OFF Direction Selective Ganglion Cells (ooDSGCs) were generated by deep sequencing in triplicate, using Illumina HiSeq 2500.

Publication Title

Thrombospondin-1 Mediates Axon Regeneration in Retinal Ganglion Cells.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE79316
Response to PI3K/mTOR dual inhibition in Glioma initiating cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The PI3K/mammalian target of rapamycin (mTOR) pathway is dysregulated in over 50% of human GBM but remains a challenging clinical target. Inhibitors against PI3K/mTOR mediators have limited clinical efficacy as single agents. Gene expression profiling after PI3K/mTOR inhibition treatment was analyzed by Affymetrix microarrays.

Publication Title

MSK1-Mediated β-Catenin Phosphorylation Confers Resistance to PI3K/mTOR Inhibitors in Glioblastoma.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE51001
PI3K inhibition synergizes with glucocorticoids but antagonizes with methotrexate in T-cell acute lymphoblastic leukemia.
  • organism-icon Homo sapiens
  • sample-icon 83 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

PI3K inhibition synergizes with glucocorticoids but antagonizes with methotrexate in T-cell acute lymphoblastic leukemia.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line

View Samples
accession-icon GSE50999
Gene expression data of diagnostic childhood T-ALL samples
  • organism-icon Homo sapiens
  • sample-icon 43 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The PI3K pathway is frequently hyperactivated in primary T-cell acute lymphoblastic leukemia (T-ALL) cells. Activation of the PI3K pathway has been suggested as one mechanism of glucocorticoid resistance in T-ALL, and patients harboring mutations in the PI3K negative regulator PTEN may be at increased risk of induction failure and relapse. In this study, we identified Myc as an important downstream integrator of PI3K pathway activity in T-ALL and we provide data supportive of an association of higher PI3K activity with glucocorticoid resistance and worse clinical outcome. The PI3K inhibitor AS605240 showed anti-leukemic activity and strong synergism with glucocorticoids both in vitro and in a NOD/SCID xenograft model of T-ALL. In contrast, PI3K inhibition showed antagonism with methotrexate and daunorubicin, drugs that preferentially target dividing cells. This antagonistic interaction, however, could be circumvented by the use of correct drug scheduling schemes. Our data indicate the potential benefits and difficulties for the incorporation of PI3K inhibitors in T-ALL therapy.

Publication Title

PI3K inhibition synergizes with glucocorticoids but antagonizes with methotrexate in T-cell acute lymphoblastic leukemia.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE51000
Gene expression signature of primary T-ALL cells treated with the PI3K inhibitor AS605240
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The PI3K pathway is frequently hyperactivated in primary T-cell acute lymphoblastic leukemia (T-ALL) cells. Activation of the PI3K pathway has been suggested as one mechanism of glucocorticoid resistance in T-ALL, and patients harboring mutations in the PI3K negative regulator PTEN may be at increased risk of induction failure and relapse. In this study, we identified Myc as an important downstream integrator of PI3K pathway activity in T-ALL and we provide data supportive of an association of higher PI3K activity with glucocorticoid resistance and worse clinical outcome. The PI3K inhibitor AS605240 showed anti-leukemic activity and strong synergism with glucocorticoids both in vitro and in a NOD/SCID xenograft model of T-ALL. In contrast, PI3K inhibition showed antagonism with methotrexate and daunorubicin, drugs that preferentially target dividing cells. This antagonistic interaction, however, could be circumvented by the use of correct drug scheduling schemes. Our data indicate the potential benefits and difficulties for the incorporation of PI3K inhibitors in T-ALL therapy.

Publication Title

PI3K inhibition synergizes with glucocorticoids but antagonizes with methotrexate in T-cell acute lymphoblastic leukemia.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE90121
Identification Of Neuroblastoma Metastasis Associated Genes
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Metastatic relapse is the major cause of death in neuroblastoma (NB), yet there are no therapies to specifically target metastases. To understand the molecular mechanisms mediating NB metastasis, we developed a mouse model using intracardiac injection and in vivo selection to isolate metastatic subpopulations that exhibited a higher propensity for bone and central nervous system metastases. Gene expression profiling revealed two distinct subtypes, primary and metastatic, with differential regulation of 412 genes and multiple pathways including CADM1, SPHK1, and YAP/TAZ whose expression independently predicted survival. Loss- and gain-of-function experiments with these genes demonstrated a rescue of metastatic phenotypes in multiple NB cell lines in vitro or in vivo. Treatment with the compounds SKI II and Verteporfin that target SPHK1 and YAP/TAZ, respectively, inhibited NB metastasis in vivo. In addition, using gene expression profiling from the metastatic subpopulations, a gene signature (MET-75) was identified that predicts NB survival of patients with metastatic disease. This model therefore identifies genes regulating metastasis and candidate therapeutics for metastatic NB

Publication Title

A Metastatic Mouse Model Identifies Genes That Regulate Neuroblastoma Metastasis.

Sample Metadata Fields

Disease

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accession-icon GSE50998
Gene expression signature of T-ALL cell lines treated with the PI3K inhibitor AS605240
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The PI3K pathway is frequently hyperactivated in primary T-cell acute lymphoblastic leukemia (T-ALL) cells. Activation of the PI3K pathway has been suggested as one mechanism of glucocorticoid resistance in T-ALL, and patients harboring mutations in the PI3K negative regulator PTEN may be at increased risk of induction failure and relapse. In this study, we identified Myc as an important downstream integrator of PI3K pathway activity in T-ALL and we provide data supportive of an association of higher PI3K activity with glucocorticoid resistance and worse clinical outcome. The PI3K inhibitor AS605240 showed anti-leukemic activity and strong synergism with glucocorticoids both in vitro and in a NOD/SCID xenograft model of T-ALL. In contrast, PI3K inhibition showed antagonism with methotrexate and daunorubicin, drugs that preferentially target dividing cells. This antagonistic interaction, however, could be circumvented by the use of correct drug scheduling schemes. Our data indicate the potential benefits and difficulties for the incorporation of PI3K inhibitors in T-ALL therapy.

Publication Title

PI3K inhibition synergizes with glucocorticoids but antagonizes with methotrexate in T-cell acute lymphoblastic leukemia.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon SRP067378
Characterizing transcriptional heterogeneity through pathway and gene set overdispersion analysis (PAGODA)
  • organism-icon Mus musculus
  • sample-icon 557 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The extent of transcriptional diversity in mouse NPCs is likely to be influenced by a variety of unexamined factors that include programmed cell death, genomic mosaicism as well as a variety of “environmental” influences such as changes in exposure to signaling lipids. We therefore used scRNA-seq to assess a cohort of cortical NPCs from an embryonic mouse. We demonstrate that PAGODA (Pathway And Geneset OverDispersion Analysis) effectively recovers the known neuroanatomical and functional organization of NPCs, identifying multiple aspects of transcriptional heterogeneity within the developing mouse cortex that are difficult to discern by the existing heterogeneity analysis approaches. Overall design: Examination of mouse NPC transcriptional heterogeneity via single cell RNA-seq

Publication Title

Characterizing transcriptional heterogeneity through pathway and gene set overdispersion analysis.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE15240
Gene expression in laboratory models and primary tumors in Small Cell Lung Cancer
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression was measured on the Affymetrix platform in primary xenografts, xenograft-derived cell lines, secondary xenografts, normal lung, and primary tumors obtained from chemotherapy naive Small Cell Lung Cancer (SCLC). The SCLC primary xenografts were serially propagated in vivo in immunodeficient mice. Cell lines were derived from each xenograft and grown for 6 months using conventional tissue culture conditions. Secondary xenografts were obtained from cell cultures by re-implantation in immunodeficient mice. Such SCLC laboratory models were analyzed along with conventional SCLC cell lines and the derivative secondary xenografts, with normal lung and primary tumors, to assess irreversible gene expression changes induced by culturing conditions.

Publication Title

A primary xenograft model of small-cell lung cancer reveals irreversible changes in gene expression imposed by culture in vitro.

Sample Metadata Fields

Disease, Disease stage, Cell line

View Samples
accession-icon GSE71212
Expression data from Jurkat cells treated with SB225002 for 6h and 9h.
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

In our efforts to evaluate the function of the IL-8 receptor CXCR2 in Acute Lymphoblastic Leukemia (ALL) cells, we made use of SB225002 (N-(2-hydroxy-4-nitrophenyl)-N-(2-bromophenyl)urea), a drug initially described as a CXCR2 antagonist. Although the CXCR2 receptor was found to be non-functional in ALL, B- and T-ALL cell lines were sensitive to SB225002.

Publication Title

SB225002 Induces Cell Death and Cell Cycle Arrest in Acute Lymphoblastic Leukemia Cells through the Activation of GLIPR1.

Sample Metadata Fields

Specimen part, Cell line

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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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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