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accession-icon GSE6875
Development of Regulatory T cell Precursors in the Absence of a Functional Foxp3 Protein
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To analyze gene expression in in regulatory T cell precursors that develop in the absence of a functional Foxp3 protein as compared to that of normal regulatory T cells

Publication Title

Regulatory T cell development in the absence of functional Foxp3.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE10255
Gene expression in primary acute lymphoblastic leukemia (ALL) associated with methotrexate treatment response
  • organism-icon Homo sapiens
  • sample-icon 158 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Genome-wide assessment of gene expression in primary acute lymphoblastic leukemia cells was performed to identify genomic determinants of MTXs antileukemic effects. Reduction of circulating leukemia cells after in vivo methotrexate treatment served as a measure MTX's antileukemic effects.

Publication Title

In vivo response to methotrexate forecasts outcome of acute lymphoblastic leukemia and has a distinct gene expression profile.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE2351
chemotherapy cross-resistance and treatment response in childhood acute lymphoblastic leukemia
  • organism-icon Homo sapiens
  • sample-icon 129 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Acute lymphoblastic leukemia (ALL) can be cured with combination chemotherapy in over 75% of children, but the cause of treatment failure in the remaining patients is unknown. We determined the sensitivity of ALL cells to individual antileukemic agents in 441 patients, and used a genome-wide approach to identify 45 genes differentially expressed in ALL exhibiting cross-resistance to prednisolone, vincristine, asparaginase and daunorubicin. We also identified a distinct phenotype of discordant resistance to asparaginase and vincristine and 139 genes whose expression was associated with this novel phenotype. The expression of these genes discriminated treatment outcome in two independent patient populations, identifying a subset of patients with a markedly inferior outcome (37%13% 5-year DFS).

Publication Title

Identification of genes associated with chemotherapy crossresistance and treatment response in childhood acute lymphoblastic leukemia.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE17195
Germline genomic variations associated with childhood acute lymphoblastic leukemia
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

We identified germline single nucleotide polymorphisms (SNPs) associated with childhood acute lymphoblastic leukemia (ALL) and its subtypes. Using the Affymetrix 500K Mapping array and publicly available genotypes, we identified 18 SNPs whose allele frequency differed (P<1x10-5) between a pediatric ALL population (n=317) and non-ALL controls (n=17,958). Six of these SNPs differed (P0.05) in allele frequency among four ALL subtypes. Two SNPs in ARID5B not only differed between ALL and non-ALL groups (rs10821936, P=1.4x10-15, odds ratio[OR]=1.91; rs10994982, P=5.7x10-9, OR=1.62) but also distinguished B-hyperdiploid ALL from other subtypes (rs10821936, P=1.62 x10-5, OR=2.17; rs10994982, P=0.003, OR 1.72). These ARID5B SNPs also distinguished B-hyperdiploid ALL from other subtypes in an independent validation cohort (n=124 children with ALL) (P=0.003 and P=0.0008, OR 2.45 and 2.86, respectively) and were associated with methotrexate accumulation and gene expression pattern in leukemic lymphoblasts. We conclude that germline genomic variations affect susceptibility to and characteristics of specific ALL subtypes.

Publication Title

Germline genomic variants associated with childhood acute lymphoblastic leukemia.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE635
Identification of novel genomic determinants of cellular drug resistance in acute lymphoblastic leukemia.
  • organism-icon Homo sapiens
  • sample-icon 173 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Cellular drug resistance is associated with an unfavorable prognosis in pediatric acute lymphoblastic leukemia (ALL). To identify genes conferring resistance to antileukemic agents, we analyzed the expression of >12,700 genes in sensitive and resistant ALL cells obtained at diagnosis from 174 patients. This revealed 42, 59, 54 and 22 genes (P0.001) that were differentially expressed in B-lineage ALL that was sensitive versus resistant to prednisolone, vincristine, asparaginase or daunorubicin, respectively, with prediction accuracies of 71-76%. Notably, 149 of the discriminating genes have not been previously associated with resistance to these anticancer agents. These included carbohydrate-metabolism and transcription-associated genes for prednisolone, cytoskeleton and extracellular matrix genes for vincristine, ribosomal protein and translation-associated genes for asparaginase, and RAS signaling and nucleosome remodeling complex genes for daunorubicin. The identification of novel genomic determinants of cellular drug resistance provides new insights for overcoming drug resistance in acute lymphoblastic leukemia.

Publication Title

Gene-expression patterns in drug-resistant acute lymphoblastic leukemia cells and response to treatment.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE28462
Integrated Genomic Analysis of Relapsed Childhood Acute Lymphoblastic Leukemia reveals therapeutic strategies
  • organism-icon Homo sapiens
  • sample-icon 98 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

Integrated genomic analysis of relapsed childhood acute lymphoblastic leukemia reveals therapeutic strategies.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE28460
Expression data from ALL diagnosis and relapse pediatric acute lymphoblastic leukemia cases
  • organism-icon Homo sapiens
  • sample-icon 98 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

There is a distinct signature of differentially expressed probes from diagnosis to relapse

Publication Title

Integrated genomic analysis of relapsed childhood acute lymphoblastic leukemia reveals therapeutic strategies.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE650
DNR sensitive all ALL
  • organism-icon Homo sapiens
  • sample-icon 94 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

primary ALL cells (B- and T-lineage) sensitive to daunorubicinby the MTT in vitro sensitivity assay

Publication Title

Gene-expression patterns in drug-resistant acute lymphoblastic leukemia cells and response to treatment.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE648
VCR sensitive all ALL
  • organism-icon Homo sapiens
  • sample-icon 89 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

primary ALL cells (B- and T-lineage) sensitive to vincristine by the MTT in vitro sensitivity assay

Publication Title

Gene-expression patterns in drug-resistant acute lymphoblastic leukemia cells and response to treatment.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE659
DNR sensitive B-ALL
  • organism-icon Homo sapiens
  • sample-icon 82 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

primary ALL cells (B-lineage) sensitive to daunorubicin by the MTT in vitro sensitivity assay

Publication Title

Gene-expression patterns in drug-resistant acute lymphoblastic leukemia cells and response to treatment.

Sample Metadata Fields

No sample metadata fields

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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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