Mapping the Human Colon Using Single Cell Sequencing
Ontology highlight
ABSTRACT:
DISEASE(S): Inflammatory Bowel Diseases,Diabetes,Large Bowel Cancer
PROVIDER: 2401272 | ecrin-mdr-crc |
REPOSITORIES: ECRIN MDR
Similar Datasets
Project description:While advances in single cell genomics have helped to chart the cellular components of tumor ecosystems, it has been more challenging to characterize their specific spatial organization and functional interactions. Here, we combine single cell RNA-seq, spatial transcriptomics by Slide-seq, and in situ multiplex RNA analysis, to create a detailed spatial map of healthy and dysplastic colon cellular ecosystems and their association with disease progression. We profiled inducible genetic CRC mouse models that recapitulate key features of human CRC, assigned cell types and epithelial expression programs to spatial tissue locations in tumors, and computationally used them to identify the regional features spanning different cells in the same spatial niche. We find that tumors were organized in cellular neighborhoods, each with a distinct composition of cell subtypes, expression programs, and local cellular interactions. Comparing to scRNA-seq and Slide-seq data from human CRC, we find that both cell composition and layout features were conserved between the species, with mouse neighborhoods correlating with malignancy and clinical outcome in human patient tumors, highlighting the relevance of our findings to human disease. Our work offers a comprehensive framework that is applicable across various tissues, tumors, and disease conditions, with tools for the extrapolation of findings from experimental mouse models to human diseases.
2024-10-18 | GSE260800 | GEO
Project description:While advances in single cell genomics have helped to chart the cellular components of tumor ecosystems, it has been more challenging to characterize their specific spatial organization and functional interactions. Here, we combine single cell RNA-seq, spatial transcriptomics by Slide-seq, and in situ multiplex RNA analysis, to create a detailed spatial map of healthy and dysplastic colon cellular ecosystems and their association with disease progression. We profiled inducible genetic CRC mouse models that recapitulate key features of human CRC, assigned cell types and epithelial expression programs to spatial tissue locations in tumors, and computationally used them to identify the regional features spanning different cells in the same spatial niche. We find that tumors were organized in cellular neighborhoods, each with a distinct composition of cell subtypes, expression programs, and local cellular interactions. Comparing to scRNA-seq and Slide-seq data from human CRC, we find that both cell composition and layout features were conserved between the species, with mouse neighborhoods correlating with malignancy and clinical outcome in human patient tumors, highlighting the relevance of our findings to human disease. Our work offers a comprehensive framework that is applicable across various tissues, tumors, and disease conditions, with tools for the extrapolation of findings from experimental mouse models to human diseases.
2024-10-18 | GSE260798 | GEO
Project description:While advances in single cell genomics have helped to chart the cellular components of tumor ecosystems, it has been more challenging to characterize their specific spatial organization and functional interactions. Here, we combine single cell RNA-seq, spatial transcriptomics by Slide-seq, and in situ multiplex RNA analysis, to create a detailed spatial map of healthy and dysplastic colon cellular ecosystems and their association with disease progression. We profiled inducible genetic CRC mouse models that recapitulate key features of human CRC, assigned cell types and epithelial expression programs to spatial tissue locations in tumors, and computationally used them to identify the regional features spanning different cells in the same spatial niche. We find that tumors were organized in cellular neighborhoods, each with a distinct composition of cell subtypes, expression programs, and local cellular interactions. Comparing to scRNA-seq and Slide-seq data from human CRC, we find that both cell composition and layout features were conserved between the species, with mouse neighborhoods correlating with malignancy and clinical outcome in human patient tumors, highlighting the relevance of our findings to human disease. Our work offers a comprehensive framework that is applicable across various tissues, tumors, and disease conditions, with tools for the extrapolation of findings from experimental mouse models to human diseases.
2024-10-18 | GSE260797 | GEO
Project description:While advances in single cell genomics have helped to chart the cellular components of tumor ecosystems, it has been more challenging to characterize their specific spatial organization and functional interactions. Here, we combine single cell RNA-seq, spatial transcriptomics by Slide-seq, and in situ multiplex RNA analysis, to create a detailed spatial map of healthy and dysplastic colon cellular ecosystems and their association with disease progression. We profiled inducible genetic CRC mouse models that recapitulate key features of human CRC, assigned cell types and epithelial expression programs to spatial tissue locations in tumors, and computationally used them to identify the regional features spanning different cells in the same spatial niche. We find that tumors were organized in cellular neighborhoods, each with a distinct composition of cell subtypes, expression programs, and local cellular interactions. Comparing to scRNA-seq and Slide-seq data from human CRC, we find that both cell composition and layout features were conserved between the species, with mouse neighborhoods correlating with malignancy and clinical outcome in human patient tumors, highlighting the relevance of our findings to human disease. Our work offers a comprehensive framework that is applicable across various tissues, tumors, and disease conditions, with tools for the extrapolation of findings from experimental mouse models to human diseases.
2024-10-18 | GSE260799 | GEO
Project description:In this study, we performed single-cell transcriptional profiling of human embryonic and fetal gut samples obtained from 9 human embryos spanning ages 6-10 PCW and three regions (duo-jejunum, ileum and colon). Additionally, we profile mucosal biopsies from the terminal ileum of healthy children aged 4-12 years (n = 8) as well as a group of children newly diagnosed with Crohn’s disease (CD) (n = 7), a common form of IBD. Tissue samples were treated using an enzymatic dissociation protocol and single cell suspensions were then processed using the 3’v2 10x Genomics Chromium workflow. In a subset of samples, the intestinal epithelial cell fraction was enriched by performing magnetic bead sorting for EPCAM. In total, we generate single cell transcriptomes of ~90,000 primary human intestinal cells providing a rich resource and detailed roadmap. Using this data as well as scRNAseq profiles of human fetal gut derived organoids we describe embryonic and fetal epithelium composition, trace their differentiation dynamics and signaling partners, and provide links to regenerating Crohn’s disease epithelium.
2020-12-22 | E-MTAB-8901 | biostudies-arrayexpress
Project description:We performed single-nucleus RNA-seq using 10X on 84 randomly sampled participants from the METabolic Syndrome In Men (METSIM) cohort. The purpose of the study was to characterize cell type composition changes associated with metabolic diseases such as obesity and type 2 diabetes.
2024-01-12 | GSE249089 | GEO
Project description:Dysbiosis in the gut microbiota impacts several systemic diseases. One possible mechanism is the migration of perturbed intestinal immunocytes to extra-intestinal tissues. Combining the Kaede photoconvertible mouse model and single-cell genomics, we generated a detailed map of migratory trajectories from the colon, at baseline and during intestinal and extra-intestinal inflammation. All colonic lineages emigrated from the colon in an S1P-dependent manner, dominated by B lymphocytes with a large continuous circulation of follicular B cells, which carried a gut-imprinted transcriptomic signature. T cell emigration was more selective, with distinct groups of RORg+ cells and IEL-like CD160+ T cells in the spleen. Gut inflammation curtailed emigration, except for DCs disseminating to lymph nodes. Colon emigrating cells distributed differentially to tumor, skin inflammation, or arthritic synovium, the former dominated by myeloid cells in a chemokine-dependent manner. These results thus reveal specific cellular trails originating in the gut, influenced by microbiota, which can shape peripheral immunity.
2023-09-13 | GSE216928 | GEO
Project description:Single cell RNA-sequencing has been applied to core and border regions of 9 colorectal tumors as well as to matched adjacent non-malignant colon tissue for the purpose of generating a cellular map of colorectal tumors and their tumor microenvironment.
2023-07-06 | E-MTAB-8410 | biostudies-arrayexpress
Project description:The nonrandom distribution of meiotic recombination shapes patterns of inheritance and genome evolution, but chromosomal features governing this distribution are poorly understood. Formation of the DNA double-strand breaks (DSBs) that initiate recombination results in accumulation of Spo11 protein covalently bound to small DNA fragments. We show here that sequencing these fragments provides a genome-wide DSB map of unprecedented resolution and sensitivity. We use this map to explore the influence of large-scale chromosome structures, chromatin, transcription factors, and local sequence composition on DSB distributions. Our analysis supports the view that the recombination terrain is molded by combinatorial and hierarchical interaction of factors that work on widely different size scales. Mechanistic aspects of DSB formation and early processing steps are also uncovered. This map illuminates the occurrence of DSBs in repetitive DNA elements, repair of which can lead to chromosomal rearrangements. We discuss implications for evolutionary dynamics of recombination hotspots. We deep sequenced 4 samples of Spo11 oligos on Roche 454 platform. Three samples are technical replicates of Spo11 oligo products prepared from one meiotic culture and the fourth sample was prepared from an independent culture.
2011-03-07 | E-GEOD-26449 | biostudies-arrayexpress
Project description:The nonrandom distribution of meiotic recombination shapes patterns of inheritance and genome evolution, but chromosomal features governing this distribution are poorly understood. Formation of the DNA double-strand breaks (DSBs) that initiate recombination results in accumulation of Spo11 protein covalently bound to small DNA fragments. We show here that sequencing these fragments provides a genome-wide DSB map of unprecedented resolution and sensitivity. We use this map to explore the influence of large-scale chromosome structures, chromatin, transcription factors, and local sequence composition on DSB distributions. Our analysis supports the view that the recombination terrain is molded by combinatorial and hierarchical interaction of factors that work on widely different size scales. Mechanistic aspects of DSB formation and early processing steps are also uncovered. This map illuminates the occurrence of DSBs in repetitive DNA elements, repair of which can lead to chromosomal rearrangements. We discuss implications for evolutionary dynamics of recombination hotspots.
2011-03-07 | GSE26449 | GEO