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accession-icon GSE39671
Expression data from untreated CLL patients
  • organism-icon Homo sapiens
  • sample-icon 124 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The clinical course of patients with chronic lymphocytic leukemia (CLL) is heterogeneous. Several prognostic factors have been identified that can stratify patients into groups that differ in their relative tendency for disease progression and/or survival. Here, we pursued a subnetwork-based analysis of gene expression profiles to discriminate between groups of patients with disparate risks for CLL progression.

Publication Title

Subnetwork-based analysis of chronic lymphocytic leukemia identifies pathways that associate with disease progression.

Sample Metadata Fields

Specimen part

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accession-icon GSE14834
Characterization of B- and T-lineage ALL by Integrated Analysis of microRNA and mRNA Expression Profiles
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Acute lymphoblastic leukemia (ALL) is an heterogeneous disease comprising several subentities that differ for both immunophenotypic and molecular characteristics. Over the years, the biologic understanding of this neoplasm has largely increased. Gene expression profiling has recently allowed to identify specific signatures for the different ALL subsets and permitted identification of pathways deregulated by a given lesion. MicroRNAs (miRNAs) are small non-coding RNAs which play a pivotal role in several cellular functions. In this study, we investigated miRNA and gene expression profiles in a series of adult ALL cases by microarray analysis and combined them by bioinformatic analysis. Interestingly, those miRNAs which are differentially expressed between the ALL classes accounted for a large proportion of miRNA/mRNA expression pairs identified by the above analysis. Moreover, the analysis highlighted several putative miRNA targets involved in apoptosis and cell-cycle regulation.

Publication Title

Characterization of B- and T-lineage acute lymphoblastic leukemia by integrated analysis of MicroRNA and mRNA expression profiles.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE18239
Expression data from JAK1 wild-type and JAK1 mutation-positive T cell acute lymphoblastic leukemia blasts
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Aberrant signal transduction contributes substantially to leukemogenesis. The Janus kinase 1 (JAK1) gene encodes a cytoplasmic tyrosine kinase that noncovalently associates with a variety of cytokine receptors and plays a nonredundant role in lymphoid cell precursor proliferation, survival, and differentiation. Somatic mutations in JAK1 occur in individuals with acute lymphoblastic leukemia (ALL). JAK1 mutations were more prevalent among adult subjects with the T cell precursor ALL, where they accounted for 18% of cases, and were associated with advanced age at diagnosis, poor response to therapy, and overall prognosis

Publication Title

ALL-associated JAK1 mutations confer hypersensitivity to the antiproliferative effect of type I interferon.

Sample Metadata Fields

Specimen part

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accession-icon GSE15777
Spontaneous regression of chronic lymphocytic leukemia: clinical and biological features of 9 cases
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

We describe 9 CLL patients who underwent a spontaneous clinical regression. CD38 and ZAP-70 were negative in all cases. Immunoglobulin heavy chain variable region (IgVH) genes, mutated in all 7 evaluable patients, were restricted to the VH3 family in 6, with the usage of VH3-30 gene in 2. The light chain variable region genes were mutated in 6/8 cases, with the usage of V4-1 gene in 3. Microarray analysis of CLL cells revealed a distinctive genomic profile. The number of activated T lymphocytes expressing IFN-, TNF- and IL-4 was similar between CLL in spontaneous regression and healthy individuals.

Publication Title

Spontaneous regression of chronic lymphocytic leukemia: clinical and biologic features of 9 cases.

Sample Metadata Fields

Specimen part

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accession-icon GSE49697
Increased chronic lymphocytic leukemia proliferation upon IgM stimulation is sustained by the upregulation of miR-132 and miR-212
  • organism-icon Homo sapiens
  • sample-icon 62 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

Increased chronic lymphocytic leukemia proliferation upon IgM stimulation is sustained by the upregulation of miR-132 and miR-212.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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accession-icon GSE49695
Increased CLL Proliferation upon IgM stimulation is Sustained by the Up-regulation of miR-132 and miR-212: a Combined miRNA and Gene Expression Profiling Analysis and Correlation with Disease Progression [gene expression]
  • organism-icon Homo sapiens
  • sample-icon 62 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In order to investigate a potential involvement of miRNAs in BCR stimulation, in the present work we first evaluated their expression following IgM cross-linking in CLL cells, as well as in healthy B lymphocytes. Next, to infer putative miRNA targeting networks, we combined miRNA profiling results with gene expression and functional analyses

Publication Title

Increased chronic lymphocytic leukemia proliferation upon IgM stimulation is sustained by the upregulation of miR-132 and miR-212.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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accession-icon GSE13204
Microarray Innovations in LEukemia (MILE) study
  • organism-icon Homo sapiens
  • sample-icon 1492 Downloadable Samples
  • Technology Badge Icon

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

An international standardization programme towards the application of gene expression profiling in routine leukaemia diagnostics: the Microarray Innovations in LEukemia study prephase.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE13159
Microarray Innovations in LEukemia (MILE) study: Stage 1 data
  • organism-icon Homo sapiens
  • sample-icon 357 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

An International Multi-Center Study to Define the Clinical Utility of MicroarrayBased Gene Expression Profiling in the Diagnosis and Sub-classification of Leukemia (MILE Study)

Publication Title

An international standardization programme towards the application of gene expression profiling in routine leukaemia diagnostics: the Microarray Innovations in LEukemia study prephase.

Sample Metadata Fields

Disease

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accession-icon GSE11135
The MILE (Microarray Innovations In LEukemia) study pre-phase
  • organism-icon Homo sapiens
  • sample-icon 204 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

An international standardization program towards the application of gene expression profiling in routine leukaemia diagnostics: The MILE study pre-phase.

Publication Title

An international standardization programme towards the application of gene expression profiling in routine leukaemia diagnostics: the Microarray Innovations in LEukemia study prephase.

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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