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accession-icon GSE13576
Early Relapse in ALL is identified by Time To Leukemia in NOD/SCID mice and is characterized by a gene signature involving survival pathways
  • organism-icon Homo sapiens
  • sample-icon 193 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression analysis identified a specific signature of differentially expressed genes discriminating TTLshort and TTLlong phenotypes.

Publication Title

Early relapse in ALL is identified by time to leukemia in NOD/SCID mice and is characterized by a gene signature involving survival pathways.

Sample Metadata Fields

Specimen part

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accession-icon GSE79547
Specific expression of microRNAs and snoRNAs characterize ERG-related B cell precursor acute lymphoblastic leukemia
  • organism-icon Homo sapiens
  • sample-icon 163 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

High expression of miR-125b-2 and SNORD116 noncoding RNA clusters characterize ERG-related B cell precursor acute lymphoblastic leukemia.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE10792
Genome wide genotyping and gene expression data of childhood B-cell precursor ALL without known genetic aberrations
  • organism-icon Homo sapiens
  • sample-icon 81 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Acute lymphoblastic pediatric leukemia specimens without known genetic hallmarks are examined for hidden genomic aberrancies and related gene expression profiles

Publication Title

Integration of genomic and gene expression data of childhood ALL without known aberrations identifies subgroups with specific genetic hallmarks.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE79545
Specific expression of microRNAs and snoRNAs characterize ERG-related B cell precursor acute lymphoblastic leukemia [mRNA]
  • organism-icon Homo sapiens
  • sample-icon 139 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

ERG-related B cell precursor acute lymphoblastic leukemia (BCP ALL) is a recently described childhood ALL subtype characterized by aberrant ERG protein expression and highly recurrent ERG intragenic deletions. Several studies reported a remarkably favourable outcome for ERG-related BCP-ALL despite a high incidence of apparently inauspicious IKZF1 aberrations. In this study we investigated by integrative genomic analysis the main features of the ERG-related group in a cohort of B-others BCP ALL patients enrolled in the AIEOP ALL 2000 therapeutic protocol. We report a specific microRNA and snoRNA signature that characterizes ERG-related patients with up-regulation of the miR-125b-2 cluster on chromosome 21 and several snoRNAs in the Prader-Willi locus at 15q11.2, including the orphan SNORD116 cluster. Given the current lack of parameters for a comprehensive classification we suggest toexploit the noncoding RNAs signature for differential diagnosis of ERG-related patients.

Publication Title

High expression of miR-125b-2 and SNORD116 noncoding RNA clusters characterize ERG-related B cell precursor acute lymphoblastic leukemia.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE14062
MLL rearrangements in pediatric ALL and AML: MLL specific and lineage specific signatures
  • organism-icon Homo sapiens
  • sample-icon 139 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression analysis identified a MLL translocation-specific signature of differentially expressed genes discriminating ALL and AML with and without MLL rearrangements.

Publication Title

MLL rearrangements in pediatric acute lymphoblastic and myeloblastic leukemias: MLL specific and lineage specific signatures.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE28654
ARSD expression correlates with IgVH mutational status, ZAP-70 and disease progression in chronic lymphocytic leukemia
  • organism-icon Homo sapiens
  • sample-icon 112 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Several studies demonstrated IgVH mutation status and ZAP-70 expression as the most relevant prognostic markers in CLL, suggesting the separation of two patient subgroups: with good (MTZAP-70-) and poor prognosis (UMZAP-70+). We determined gene expression of B cells in 112 CLL patients divided into three classes: the first with IgVHMT and ZAP-70-, the second with IgVHUM and ZAP-70+, and the third included both IgVHUM ZAP-70- and IgVHMT ZAP-70+. We found LPL, AGPAT2, MBOAT1, CHPT1, AGPAT4, PLD1 genes encoding enzymes involved in lipid (glycerolipid/glycerophospholipid) metabolism overexpressed in UMZAP-70+. In addition, this study demonstrates the role of ARSD, a gene belonging to the sphingolipid metabolism, as a new gene significantly overexpressed in UMZAP-70+ in respect to MTZAP-70-. ARSD protein was found at significantly higher concentrations in UMZAP-70+ compared to MTZAP-70- CLL B cells and B cells from healthy individuals by Western blotting. Statistical analysis identified a strong correlation between ARSD and IgVH mutation status; ARSD protein level was associated with the requirement of therapy for CLL patients and for this purpose it is as good as IgVH mutational status. Our study highlights ARSD as a promising new prognostic factor in CLL and sphingolipid metabolism as a putative new biological mechanism in CLL.

Publication Title

Gene expression profiling identifies ARSD as a new marker of disease progression and the sphingolipid metabolism as a potential novel metabolism in chronic lymphocytic leukemia.

Sample Metadata Fields

Sex, Age, Disease, Disease stage

View Samples
accession-icon GSE7757
Robustness of gene expression signatures in leukemia: comparison of three distinct total RNA preparation procedures.
  • organism-icon Homo sapiens
  • sample-icon 96 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Microarray gene expression (MAGE) signatures allow insights into the transcriptional processes of leukemias and may evolve as a molecular diagnostic test. Introduction of MAGE into clinical practice of leukemia diagnosis will require comprehensive assessment of variation due to the methodologies.

Publication Title

New data on robustness of gene expression signatures in leukemia: comparison of three distinct total RNA preparation procedures.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE45404
Integrative computational biology and molecular determinants of rectal cancer resistance to chemoradiotherapies
  • organism-icon Homo sapiens
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression analysis identified a CRC related signature of differentially expressed genes discriminating patients Responder and Non Responder to radiochemotherapy

Publication Title

A functional biological network centered on XRCC3: a new possible marker of chemoradiotherapy resistance in rectal cancer patients.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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accession-icon GSE39816
Linking genomic lesions with minimal residual disease improves prognostic stratification in children with T-cell acute lymphoblastic leukaemia
  • organism-icon Homo sapiens
  • sample-icon 65 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

GEP class prediction in association with CI-FISH (42 candidate genes) and patient MRD stratification

Publication Title

Linking genomic lesions with minimal residual disease improves prognostic stratification in children with T-cell acute lymphoblastic leukaemia.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE28997
Function-based discovery of significant transcriptional temporal patterns in insulin-stimulated muscle cells
  • organism-icon Rattus norvegicus
  • sample-icon 53 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Background: Insulin's effect on protein synthesis (translation of transcripts) and post-translational modifications, especially those involving reversible modifications such as phosphorylation of various signaling proteins, are extensively studied. On the other hand, insulin's effect on the transcription of genes, especially of transcriptional temporal patterns, is not well investigated in the literature.

Publication Title

Function-based discovery of significant transcriptional temporal patterns in insulin stimulated muscle cells.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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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)

fund-icon Fund the CCDL

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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