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accession-icon GSE16712
Gene Expression Profiles of Germinal Center B Cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

We report the gene expression profiles of germinal center B cells obtained by FACS analyses of normal human lymph nodes.

Publication Title

Identification and functional relevance of de novo DNA methylation in cancerous B-cell populations.

Alternate Accession IDs

E-GEOD-16712

Sample Metadata Fields

Specimen part

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accession-icon GSE6055
Gene Expression Profiling Reveals Unique Pathways Associated with Differential Severity of Lyme Arthritis
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

The murine model of Lyme disease provides a unique opportunity to study the localized host response to similar stimulus, B. burgdorferi, in the joints of mice destined to develop severe arthritis (C3H) or mild disease (C57BL/6). Pathways associated with the response to infection and the development of Lyme arthritis were identified by global gene expression patterns using oligonucleotide microarrays. A robust induction of IFN responsive genes was observed in severely arthritic C3H mice at one week of infection, which was absent from mildly arthritic C57BL/6 mice. In contrast, infected C57BL/6 mice displayed a novel expression profile characterized by genes involved in epidermal differentiation and wound repair, which were decreased in the joints of C3H mice. These expression patterns were associated with disease state rather than inherent differences between C3H and C57BL/6 mice, as C57BL/6-IL10-/- mice infected with B. burgdorferi develop more severe arthritis that C57BL/6 mice and displayed an early gene expression profile similar to C3H mice. Gene expression profiles at two and four weeks post infection revealed a common response of all strains that was likely to be important for the host defense to B. burgdorferi and mediated by NF-kB-dependent signaling. The gene expression profiles identified in this study add to the current understanding of the host response to B. burgdorferi and identify two novel pathways that may be involved in regulating the severity of Lyme arthritis.

Publication Title

Gene expression profiling reveals unique pathways associated with differential severity of lyme arthritis.

Alternate Accession IDs

E-GEOD-6055

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE21452
Integrated genomic profiling in mantle cell lymphoma
  • organism-icon Homo sapiens
  • sample-icon 64 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The genome of mantle cell lymphoma (MCL) is, in addition to the translocation t(11;14), characterized by a high number of secondary chromosomal gains and losses that likely account for the varying survival times of MCL patients. We investigated 77 primary MCL tumors with available clinical information using high resolution RNA expression and genomic profiling and applied our recently developed gene expression and dosage integrator (GEDI) algorithm to identify novel genes and pathways that may be of relevance for the pathobiology of MCL. We show that copy number neutral loss of heterozygosity (CNN-LOH) is common in MCL and targets regions that are frequently affected by deletions. The molecular consequences of genomic copy number changes appear complex, even in genomic loci with identified tumor suppressors, such as the region 9p21 containing the CDKN2A locus. Moreover, the deregulation of novel genes such as CUL4A, ING1 and MCPH1 may affect the two crucial pathogenetic mechanisms in MCL, the disturbance of the proliferation and DNA damage response pathways. Deregulation of the Hippo pathway may have a pathogenetic role in MCL, since decreased expression of its members MOBKL2A, MOBKL2B and LATS2 was associated with inferior outcome also in an independent validation series of 32 MCL.

Publication Title

Pathway discovery in mantle cell lymphoma by integrated analysis of high-resolution gene expression and copy number profiling.

Alternate Accession IDs

E-GEOD-21452

Sample Metadata Fields

Disease, Disease stage, Subject

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accession-icon GSE16131
Differences Between Follicular Lymphoma With and Without Translocation t(14;18)
  • organism-icon Homo sapiens
  • sample-icon 368 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Follicular lymphoma (FL) is genetically characterized by the presence of the t(14;18)(q32;q21) chromosomal translocation in approximately 90% of cases. In contrast to FL carrying the t(14;18), their t(14;18)-negative counterparts are less well studied regarding their immunohistochemical, genetic, molecular and clinical features. Within a previously published series of 184 FL grade 1-3A with available gene expression data, we identified 17 FL lacking the t(14;18). Comparative genomic hybridization and high resolution SNP array profiling demonstrated that gains/amplifications of the BCL2 gene locus in 18q were restricted to the t(14;18)-positive FL subgroup. A comparison of gene expression profiles revealed an enrichment of germinal center B-cell associated signatures in t(14;18)-positive FL, whereas activated B-cell like, NFB, proliferation and bystander cell signatures were enriched in t(14;18)-negative FL. These findings were confirmed by immunohistochemistry in an independent validation series of 84 FL, in which 32% of t(14;18)-negative FL showed weak or absent CD10 expression and 91% an increased Ki67 proliferation rate. Although overall survival did not differ between FL with and without t(14;18), our findings suggest distinct molecular features of t(14;18)-negative FL.

Publication Title

Follicular lymphomas with and without translocation t(14;18) differ in gene expression profiles and genetic alterations.

Alternate Accession IDs

E-GEOD-16131

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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accession-icon GSE16195
Expression profiling of joint tissue from C3H and interval specific congenic mouse lines post- B. burgdorferi infection
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Gene expression profile of joint tissue from C3H and interval specific congenic mouse lines (ISCL) following infection with Borrelia burgdorferi

Publication Title

Interval-specific congenic lines reveal quantitative trait Loci with penetrant lyme arthritis phenotypes on chromosomes 5, 11, and 12.

Alternate Accession IDs

E-GEOD-16195

Sample Metadata Fields

Specimen part

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accession-icon GSE19069
Molecular signatures in peripheral T-cell lymphoma (PTCL)
  • organism-icon Homo sapiens
  • sample-icon 147 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Molecular signatures to improve diagnosis in PTCL and prognostication in angioimmunoblastic T-cell lymphoma (AITL). Gene expression profiling of PTCL patient samples was performed to investigate whether molecular signatures can be used to identify distinct entities of PTCL.

Publication Title

Molecular signatures to improve diagnosis in peripheral T-cell lymphoma and prognostication in angioimmunoblastic T-cell lymphoma.

Alternate Accession IDs

E-GEOD-19069

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE53786
DLBCL cell-of-origin by gene expression in FFPET
  • organism-icon Homo sapiens
  • sample-icon 117 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The assignment of diffuse large B-cell lymphoma into cell-of-origin (COO) groups is becoming increasingly important with the emergence of novel therapies that have selective biological activity in germinal center B-cell-like (GCB) or activated B-cell-like (ABC) groups. The LLMPP's Lymph2Cx assay is a parsimonious digital gene-expression (NanoString) based test for COO assignment in formalin-fixed paraffin-embedded tissue (FFPET) routinely produced in standard diagnostic processes. The 20-gene assay was trained using 51 FFPET biopsies; the locked assay was then validated using an independent cohort of 68 FFPET biopsies. Comparisons were made with COO assignment using the original COO model on matched frozen tissue. In the validation cohort the assay was accurate, with only one case with definitive COO being incorrectly assigned, and robust, with >95% concordance of COO assignment between 2 independent laboratories. These qualities, along with the rapid turn-around-time, make Lymph2Cx attractive for implementation in clinical trials and, ultimately, patient management.

Publication Title

Determining cell-of-origin subtypes of diffuse large B-cell lymphoma using gene expression in formalin-fixed paraffin-embedded tissue.

Alternate Accession IDs

E-GEOD-53786

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage, Subject

View Samples
accession-icon GSE11318
Molecular subtypes of DLBCL have distinct chromosomal aberrations
  • organism-icon Homo sapiens
  • sample-icon 203 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We performed array comparative genomic hybridization (aCGH) and gene expression profiling in 203 samples of diffuse large B cell lymphoma (DLBCL). By gene expression, at least three molecular subtypes of DLBCL termed as germinal center B cell-like (GCB) DLBCL, activated B cell-like (ABC) DLBCL, and primary mediastinal B cell lymphoma (PMBL) can be distinguished. Combining gene expression profiling and aCGH, revealed copy number abnormalities that had strikingly different frequencies in the three molecular DLBCL subtypes. These data provide genetic evidence that the DLBCL subtypes are distinct diseases that utilize different oncogenic pathways.

Publication Title

Molecular subtypes of diffuse large B-cell lymphoma arise by distinct genetic pathways.

Alternate Accession IDs

E-GEOD-11318

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage, Subject

View Samples
accession-icon GSE17920
Expression data of diagnostic biopsy samples from Hodgkin lymphoma patients
  • organism-icon Homo sapiens
  • sample-icon 130 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Despite advances in Hodgkin lymphoma (HL) treatment, about 20% of patients still die due to progressive disease. Current prognostic models predict treatment outcome with imperfect accuracy, and clinically relevant biomarkers are yet to be established that improve upon the International Prognostic Scoring (IPS) system. We analyzed 130 frozen diagnostic lymph node biopsies from classical HL patients by gene expression profiling to describe cellular signatures correlated with treatment outcome.

Publication Title

Tumor-associated macrophages and survival in classic Hodgkin's lymphoma.

Alternate Accession IDs

E-GEOD-17920

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

View Samples
accession-icon GSE19067
Molecular signatures in natural-killer (NK) cell lymphoma
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

NK-cell lymphoma shares strikingly similar molecular features with a distinct subset of gamma-delta T-cell lymphoma. Gene expression profiling of NK-cell lymphoma patient samples was performed to investigate whether molecular signatures can be used to identify entities of peripheral T-cell lymphoma (PTCL) with NK-cell-like features.

Publication Title

Natural killer cell lymphoma shares strikingly similar molecular features with a group of non-hepatosplenic γδ T-cell lymphoma and is highly sensitive to a novel aurora kinase A inhibitor in vitro.

Alternate Accession IDs

E-GEOD-19067

Sample Metadata Fields

Sex, Age, Specimen part

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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