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accession-icon GSE30027
Human lung CD8+ T cells compared with paired non-naive peripheral blood CD8+ T cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

It is unknown whether human lung T cells recirculate or belong to a distinct tissue-specific population. This issue is important for understanding their role in protection against viral infection and their contribution to pathophysiology of lung diseases such as chronic obstructive pulmonary disease. By comparing transcriptional profiles of blood and lung CD8+ T cells, we aimed to reveal specific traits of lung CD8+ T cells.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE16254
Integrated bioinformatic and wet-lab approach to identify potential oncogenic networks in neuroblastoma and other tumors
  • organism-icon Homo sapiens
  • sample-icon 161 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

A NOTCH3 transcriptional module induces cell motility in neuroblastoma.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE33114
Methylation of Cancer Stem Cell-associated Wnt target genes predicts poor prognosis in colorectal cancer patients
  • organism-icon Homo sapiens
  • sample-icon 100 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

Methylation of cancer-stem-cell-associated Wnt target genes predicts poor prognosis in colorectal cancer patients.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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accession-icon GSE33113
AMC colon cancer AJCCII
  • organism-icon Homo sapiens
  • sample-icon 88 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Profiling project of CRC patient material collected in the Academic Medical Center (AMC) in Amsterdam, The Netherlands. We focused on a set of 90 AJCC stage II patients that underwent intentionally curative surgery in the years 1997-2006 (AMC-AJCCII-90). Extensive medical records are kept from these patients and long-term clinical follow-up is available for the large majority. Both paraffin-embedded as well as fresh frozen tissue is available from all these patients for analysis.

Publication Title

Methylation of cancer-stem-cell-associated Wnt target genes predicts poor prognosis in colorectal cancer patients.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

View Samples
accession-icon GSE16476
Integrated bioinformatic and wet-lab approach to identify potential oncogenic networks in neuroblastoma
  • organism-icon Homo sapiens
  • sample-icon 86 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

mRNA profiles of thousands of human tumors are available, but methods to deduce oncogenic signaling networks from these data lag behind. It is especially challenging to identify main-regulatory routes, and to generalize conclusions obtained from experimental models. We designed the bioinformatic platform R2 in parallel with a wet-lab approach of neuroblastoma. Here we demonstrate how R2 facilitates an integrated analysis of our neuroblastoma data. Analysis of the MYCN pathway suggested important regulatory connections to the polyamine synthesis route, the Notch pathway and the BMP/TGF pathway. A network of genes emerged connecting major oncogenes in neuroblastoma. Genes in the network carried strong prognostic values and were essential for tumor cell survival.

Publication Title

Sequencing of neuroblastoma identifies chromothripsis and defects in neuritogenesis genes.

Sample Metadata Fields

Specimen part

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accession-icon GSE90805
Mesenchymal differentiation of neuroblastoma cell lines
  • organism-icon Homo sapiens
  • sample-icon 38 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

A NOTCH feed-forward loop drives reprogramming from adrenergic to mesenchymal state in neuroblastoma.

Sample Metadata Fields

Specimen part, Cell line, Time

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accession-icon GSE10327
mRNA expression data of 62 human medulloblastoma tumors
  • organism-icon Homo sapiens
  • sample-icon 58 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To identify molecular subtypes of medulloblastoma we have profiled a series of 62 medulloblastoma tumors. Unsupervised hierarchical cluster analysis of these data identified 5 distinct molecular subtypes.

Publication Title

Integrated genomics identifies five medulloblastoma subtypes with distinct genetic profiles, pathway signatures and clinicopathological features.

Sample Metadata Fields

Sex

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accession-icon GSE64392
Prospective derivation of a 'Living Organoid Biobank' of colorectal cancer patients
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

In Rspondin-based 3D cultures, Lgr5 stem cells from multiple organs form ever-expanding epithelial organoids that retain their tissue identity. We report the establishment of tumor organoid cultures from 20 consecutive colorectal (CRC) patients. For most, organoids were also generated from adjacent normal tissue. The organoids closely resemble the original tumor. The spectrum of genetic changes observed within the 'living biobank' agrees well with previous large-scale mutational analyses of CRC. Gene expression analysis indicates that the major CRC molecular subtypes are represented. Tumor organoids are amenable to robotized, high-throughput drug screens allowing detection of gene-drug associations. As an example, a single organoid culture was exquisitely sensitive to Wnt secretion (porcupine) inhibitors and carried a mutation in the negative Wnt feedback regulator RNF43 (rather than in APC). Organoid technology may fill the gap between cancer genetics and patient trials, complement cell line- and xenograft-based drug studies and allow personalized therapy design.

Publication Title

Prospective derivation of a living organoid biobank of colorectal cancer patients.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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accession-icon GSE73537
TERT rearrangements are frequent in neuroblastoma and identify aggressive tumors
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Whole genome sequencing detected structural rearrangements of TERT in 17/75 high stage neuroblastoma with 5 cases resulting from chromothripsis. Rearrangements were associated with increased TERT expression and targeted immediate up- and down-stream regions of TERT, placing in 7 cases a super-enhancer close to the breakpoints. TERT rearrangements (23%), ATRX deletions (11%) and MYCN amplifications (37%) identify three almost non-overlapping groups of high stage neuroblastoma, each associated with very poor prognosis

Publication Title

TERT rearrangements are frequent in neuroblastoma and identify aggressive tumors.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE85043
UMCU colon cancer - Biopsies Of Surgical Specimens (BOSS)
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Validation of the RT-qPCR test by comparison with the 4-gene microarray test and the original random forest-based CMS (consensus molecular subtypes) classifier

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease

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

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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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