This SuperSeries is composed of the SubSeries listed below.
Consensus molecular subtypes of colorectal cancer are recapitulated in in vitro and in vivo models.
Specimen part, Disease, Disease stage, Cell line, Subject
View SamplesColorectal 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.
Consensus molecular subtypes of colorectal cancer are recapitulated in in vitro and in vivo models.
Specimen part, Disease, Disease stage, Subject
View SamplesColorectal 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.
Consensus molecular subtypes of colorectal cancer are recapitulated in in vitro and in vivo models.
Specimen part, Disease, Disease stage, Subject
View SamplesColorectal 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.
Consensus molecular subtypes of colorectal cancer are recapitulated in in vitro and in vivo models.
Disease, Disease stage, Cell line
View SamplesColorectal 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.
Consensus molecular subtypes of colorectal cancer are recapitulated in in vitro and in vivo models.
Specimen part, Disease, Disease stage, Cell line
View SamplesshRNAs were assessed for off-target effects by comparing the gene expression profiles of cells that they had been infected into. shRNAs designed with the shERWOOD algorithm and house in the ultramir microRNA scafold were found to have very little off targeting. Overall design: Purpose: A major detriment to RNAi is off-targeting. We wished to assess the level of off targeting of microRNA (ultramiR) housed shERWOOD shRNAs as compared to similar shRNAs in the TRC collection. Methods: 5 shRNAs targeting each of two genes were infected into the 4T1 cell line. For each gene one shRNA was selected from the TRC collection and one based on the shERWOOD algorithm. For each gene, the exrpession profiles of the corresponding shRNA infected cells were compared using RNAseq. Conclusions: Highly similar profiles were observed between shERWOOD selected shRNAs. TRC shRNAs produced profiles indicative of off-targeting.
A computational algorithm to predict shRNA potency.
No sample metadata fields
View SamplesWe use RNAseq analysis as an un-biased and highly sensitive measurement of global transcriptomic changes upon the loss of HPX-2. The RNAseq result provided insights into the potential physiological processes HPX-2 is involved in. Overall design: L4 stage worms were exposed to E. faecalis or E. coli for 16 hours and total RNA was extracted for 5 biological replicates. Illumina Hiseq 4000 sequencer with 75 nt pair-ended read format was used to conduct the sequencing.
Heme peroxidase HPX-2 protects Caenorhabditis elegans from pathogens.
Subject
View SamplesArgonaute (Ago) proteins, which act in post-transcriptional gene regulation directed by small RNAs, are vital for normal stem cell biology. Here we report the genomic characterization of stable Ago-deficient mouse embryonic stem cells (mESC) and determine the direct, primary and system level response to loss of Ago-mediated regulation. We find mESCs lacking all four Ago proteins are viable, do not repress microRNA (miRNA)-targeted cellular RNAs, and show distinctive gene network signatures. Profiling of RNA expression and epigenetic activity in an Ago mutant genetic series indicates that early responses to Ago loss are driven by transcriptional regulatory networks, in particular the Tgf-ß/Smad transcriptional network. This finding is confirmed using a time course analysis of Ago depletion and Ago rescue experiments. Detailed analysis places Tgf-ß/Smad activation upstream of cell cycle regulator activation, such as Cdkn1a, and repression of the c-Myc transcriptional network. The Tgf-ß/Smad pathway is directly controlled by multiple low-affinity miRNA interactions with Tgf-ß/Activin receptor mRNAs and receptor-mediated activation is required for Tgf-ß/Smad target induction with Ago loss. Our characterization reveals the interplay of post-transcriptional regulatory pathways with transcriptional networks in maintaining cell state and likely coordinating cell state transitions. Overall design: mRNA seq from stable genetic Dicer and Dgcr8 mutant mouse embryonic stem cells.
Temporal Control of the TGF-β Signaling Network by Mouse ESC MicroRNA Targets of Different Affinities.
Specimen part, Cell line, Subject
View SamplesColorectal cancer (CRC) is a heterogeneous disease classified into four consensus molecular subtype (CMSs) with distinct biological and clinical features. This study aims to understand the value of patient-derived xenografts (PDXs) in relation to these CMSs. A total of 42 primary tumors, recurrences and metastases were used to develop PDXs. Detailed genetic analyses were performed on PDXs and corresponding patient tumors to determine relationship and PDX heterogeneity. Out of 42 tumors 22 (52%) showed successfully PDX engraftment, which was biased towards metastases and CMS1 and CMS4 tumors. Importantly, gene expression analysis revealed a clinical relevant association between an engraftment gene signature and prognosis for stage II patients. Moreover, this gene signature revealed an association between Src pathway activation and positive engraftment. Src pathway activity co-aligned with CMS4 and the levels of fibronectin in tumors and was confirmed by pSrc immunohistochemistry. From this analysis we further deduced that decreased cell cycle activity is a prognostic factor for successful engraftment and related to patient prognosis. However, this is not a general phenomenon, but subtype specific as decreased cell cycle activity was highly prognostic for recurrence-free survival within CMS2 but not in CMS1 and CMS4, while it showed an inverse correlation in CMS3. These data illustrate that CRC PDX establishment is biased toward CMS1 and CMS4, which impacts translation of results derived from pre-clinical studies using PDXs. Moreover, our analysis reveals subtype-specific features, pSrc in CMS4 and low Ki67 in CMS2, which provide novel avenues for therapy and diagnosis.
Capturing colorectal cancer inter-tumor heterogeneity in patient-derived xenograft (PDX) models.
Sex, Age, Specimen part, Disease, Disease stage
View SamplesThis SuperSeries is composed of the SubSeries listed below.
TGFβ signaling directs serrated adenomas to the mesenchymal colorectal cancer subtype.
Specimen part, Treatment
View Samples