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accession-icon GSE43495
Expression data of mammary epithelial cells during the epithelial-mesenchymal transition
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HumanRef-8 v3.0 expression beadchip

Description

The EMT program allows epithelial cells to become endowed with motility, invasiveness and stem cell traits. We investigated difference in signaling networks that are differentially utilized in EMTed and non-EMTed cells, thereby identifying therapeutic targets that are unique to EMT/cancer stem cells.

Publication Title

Protein kinase C α is a central signaling node and therapeutic target for breast cancer stem cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP075828
NFIB is a driver of SCLC initiation, progression and metastasis in mouse and marks metastatic disease in patients
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Small Cell Lung Cancer (SCLC) is the most aggressive type of lung cancer with early metastatic dissemination and invariable development of resistant disease for which no effective treatment is available to date. Mouse models of SCLC based on inactivation of Rb1 and Trp53 developed earlier showed frequent amplifications of two transcription factor genes: Nfib and Mycl. Overexpression of Nfib but not Mycl in SCLC mouse results in an enhanced and altered metastatic profile, and appears to be associated with genomic instability. NFIB promotes tumor heterogeneity with the concomitant expansive growth of poorly differentiated, highly proliferative, and invasive tumor cell populations. Consistent with the mouse data, NFIB expression in high-grade human neuroendocrine carcinomas correlates with advanced stage III/IV disease warranting its further assessment as a potentially valuable progression marker in a clinical setting. Overall design: Genomic DNA from mouse small cell lung tumor samples was analyzed by mate pair sequencing and low coverage sequencing. And RNA from Nfib overexpressing mouse small cell lung cancer cell lines was further analyzed for high quality RNA profiles using Illumina Hiseq2500. This series contains only RNA-seq data.

Publication Title

Transcription Factor NFIB Is a Driver of Small Cell Lung Cancer Progression in Mice and Marks Metastatic Disease in Patients.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE100550
Consensus Molecular Subtypes of colorectal cancer are recapitulated in in vitro and in vivo models
  • organism-icon Homo sapiens
  • sample-icon 103 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Consensus molecular subtypes of colorectal cancer are recapitulated in in vitro and in vivo models.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Cell line, Subject

View Samples
accession-icon GSE100480
Consensus Molecular Subtypes of colorectal cancer are recapitulated in in vitro and in vivo models [patient tumors and PDX models]
  • organism-icon Homo sapiens
  • sample-icon 52 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Colorectal cancer (CRC) is a highly heterogeneous disease both from a molecular and clinical perspective. Several distinct molecular entities, such as microsatellite instability (MSI), have been defined that make up biologically distinct subgroups with their own clinical course. Recent data indicated that CRC can be best segregated into four groups called Consensus Molecular Subtypes (CMS1-4), which each have a unique biology and gene expression pattern. In order to develop improved, subtype-specific therapies and to gain insight into the molecular wiring and origin of these subtypes, reliable models are needed. This study was designed to determine the heterogeneity and identify the presence of CMSs in a large panel of CRC cell lines, primary cultures and patient-derived xenografts (PDX). We provide a repository encompassing this heterogeneity and moreover describe that a large part of the models can be robustly assigned to one of the four CMSs, independent of the stromal contribution. We subsequently validate our CMS stratification by functional analysis which for instance shows mesenchymal enrichment in CMS4 and metabolic dysregulation in CMS3. Finally, we observe a clear difference in sensitivity to chemotherapy-induced apoptosis, specifically between CMS2 and CMS4. This relates to the in vivo efficacy of chemotherapy, which delays outgrowth of CMS2, but not CMS4 xenografts. This indicates that molecular subtypes are faithfully modelled in the CRC cell cultures and PDXs, representing tumour cell intrinsic and stable features. This repository provides researchers with a platform to study CRC using the existing heterogeneity.

Publication Title

Consensus molecular subtypes of colorectal cancer are recapitulated in in vitro and in vivo models.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

View Samples
accession-icon GSE100479
Consensus Molecular Subtypes of colorectal cancer are recapitulated in in vitro and in vivo models [primary cell lines Hubrecht Institute]
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Colorectal cancer (CRC) is a highly heterogeneous disease both from a molecular and clinical perspective. Several distinct molecular entities, such as microsatellite instability (MSI), have been defined that make up biologically distinct subgroups with their own clinical course. Recent data indicated that CRC can be best segregated into four groups called Consensus Molecular Subtypes (CMS1-4), which each have a unique biology and gene expression pattern. In order to develop improved, subtype-specific therapies and to gain insight into the molecular wiring and origin of these subtypes, reliable models are needed. This study was designed to determine the heterogeneity and identify the presence of CMSs in a large panel of CRC cell lines, primary cultures and patient-derived xenografts (PDX). We provide a repository encompassing this heterogeneity and moreover describe that a large part of the models can be robustly assigned to one of the four CMSs, independent of the stromal contribution. We subsequently validate our CMS stratification by functional analysis which for instance shows mesenchymal enrichment in CMS4 and metabolic dysregulation in CMS3. Finally, we observe a clear difference in sensitivity to chemotherapy-induced apoptosis, specifically between CMS2 and CMS4. This relates to the in vivo efficacy of chemotherapy, which delays outgrowth of CMS2, but not CMS4 xenografts. This indicates that molecular subtypes are faithfully modelled in the CRC cell cultures and PDXs, representing tumour cell intrinsic and stable features. This repository provides researchers with a platform to study CRC using the existing heterogeneity.

Publication Title

Consensus molecular subtypes of colorectal cancer are recapitulated in in vitro and in vivo models.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

View Samples
accession-icon GSE100478
Consensus Molecular Subtypes of colorectal cancer are recapitulated in in vitro and in vivo models [cell line panel]
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Colorectal cancer (CRC) is a highly heterogeneous disease both from a molecular and clinical perspective. Several distinct molecular entities, such as microsatellite instability (MSI), have been defined that make up biologically distinct subgroups with their own clinical course. Recent data indicated that CRC can be best segregated into four groups called Consensus Molecular Subtypes (CMS1-4), which each have a unique biology and gene expression pattern. In order to develop improved, subtype-specific therapies and to gain insight into the molecular wiring and origin of these subtypes, reliable models are needed. This study was designed to determine the heterogeneity and identify the presence of CMSs in a large panel of CRC cell lines, primary cultures and patient-derived xenografts (PDX). We provide a repository encompassing this heterogeneity and moreover describe that a large part of the models can be robustly assigned to one of the four CMSs, independent of the stromal contribution. We subsequently validate our CMS stratification by functional analysis which for instance shows mesenchymal enrichment in CMS4 and metabolic dysregulation in CMS3. Finally, we observe a clear difference in sensitivity to chemotherapy-induced apoptosis, specifically between CMS2 and CMS4. This relates to the in vivo efficacy of chemotherapy, which delays outgrowth of CMS2, but not CMS4 xenografts. This indicates that molecular subtypes are faithfully modelled in the CRC cell cultures and PDXs, representing tumour cell intrinsic and stable features. This repository provides researchers with a platform to study CRC using the existing heterogeneity.

Publication Title

Consensus molecular subtypes of colorectal cancer are recapitulated in in vitro and in vivo models.

Sample Metadata Fields

Disease, Disease stage, Cell line

View Samples
accession-icon GSE100549
Consensus Molecular Subtypes of colorectal cancer are recapitulated in in vitro and in vivo models [primary cell lines AMC/Palermo]
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Colorectal cancer (CRC) is a highly heterogeneous disease both from a molecular and clinical perspective. Several distinct molecular entities, such as microsatellite instability (MSI), have been defined that make up biologically distinct subgroups with their own clinical course. Recent data indicated that CRC can be best segregated into four groups called Consensus Molecular Subtypes (CMS1-4), which each have a unique biology and gene expression pattern. In order to develop improved, subtype-specific therapies and to gain insight into the molecular wiring and origin of these subtypes, reliable models are needed. This study was designed to determine the heterogeneity and identify the presence of CMSs in a large panel of CRC cell lines, primary cultures and patient-derived xenografts (PDX). We provide a repository encompassing this heterogeneity and moreover describe that a large part of the models can be robustly assigned to one of the four CMSs, independent of the stromal contribution. We subsequently validate our CMS stratification by functional analysis which for instance shows mesenchymal enrichment in CMS4 and metabolic dysregulation in CMS3. Finally, we observe a clear difference in sensitivity to chemotherapy-induced apoptosis, specifically between CMS2 and CMS4. This relates to the in vivo efficacy of chemotherapy, which delays outgrowth of CMS2, but not CMS4 xenografts. This indicates that molecular subtypes are faithfully modelled in the CRC cell cultures and PDXs, representing tumour cell intrinsic and stable features. This repository provides researchers with a platform to study CRC using the existing heterogeneity.

Publication Title

Consensus molecular subtypes of colorectal cancer are recapitulated in in vitro and in vivo models.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Cell line

View Samples
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

View Samples
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 GSE33112
Gene expression in colon cancer stem cells (CSC) cultures identified by Wnt signaling levels
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Primary colon CSC cultures were transduced with a Wnt responsive construct (TOP-GFP). 10% highest and lowest TOP-GFP cell fractions were FACS sorted and arrayed.

Publication Title

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

Sample Metadata Fields

Specimen part

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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