Project description:The human colon contains an extensively diverse microbial ecosystem and one of the most numerous communities of immune cells. Studies have highlighted dynamic crosstalk between immune cells and commensals. While studies have demonstrated increasing diversity of microbiota from stomach to stool, whether and how immune cell heterogeneity and microbiota diversity change across the colon is undefined. Furthermore, whether these changes are co-depended in the healthy colon is unknown. Here, tissue samples are collected from caecum, transverse colon, sigmoid colon and mLN of cadaveric donors by the Cambridge Biorepository of Translational Medicine (CBTM). We use single cell RNA sequencing (10X genomics) to assess the dynamics of immune cell populations across the colon and in matching lymph nodes. Associated microbiome 16S sequencing data is available.
Project description:The human colon contains an extensively diverse microbial ecosystem and one of the most numerous communities of immune cells. Studies have highlighted dynamic crosstalk between immune cells and commensals. While studies have demonstrated increasing diversity of microbiota from stomach to stool, whether and how immune cell heterogeneity and microbiota diversity change across the colon is undefined. Furthermore, whether these changes are co-depended in the healthy colon is unknown. Here, tissue samples are collected from caecum, transverse colon, sigmoid colon and mLN of cadaveric donors by the Cambridge Biorepository of Translational Medicine (CBTM). We use single cell RNA sequencing (10X genomics) to assess the dynamics of immune cell populations across the colon and in matching lymph nodes. Associated microbiome 16S sequencing data is available.
Project description:The human colon contains an extensively diverse microbial ecosystem and one of the most numerous communities of immune cells. Studies have highlighted dynamic crosstalk between immune cells and commensals. While studies have demonstrated increasing diversity of microbiota from stomach to stool, whether and how immune cell heterogeneity and microbiota diversity change across the colon is undefined. Furthermore, whether these changes are co-depended in the healthy colon is unknown. Here, tissue samples are collected from caecum, transverse colon, sigmoid colon and mLN of cadaveric donors by the Cambridge Biorepository of Translational Medicine (CBTM). We use single cell RNA sequencing (10X genomics) to assess the dynamics of immune cell populations across the colon and in matching lymph nodes. Associated microbiome 16S sequencing data is available.
Project description:The human colon contains an extensively diverse microbial ecosystem and one of the most numerous communities of immune cells. Studies have highlighted dynamic crosstalk between immune cells and commensals. While studies have demonstrated increasing diversity of microbiota from stomach to stool, whether and how immune cell heterogeneity and microbiota diversity change across the colon is undefined. Furthermore, whether these changes are co-depended in the healthy colon is unknown. Here, tissue samples are collected from caecum, transverse colon, sigmoid colon and mLN of cadaveric donors by the Cambridge Biorepository of Translational Medicine (CBTM). We use single cell RNA sequencing (10X genomics) to assess the dynamics of immune cell populations across the colon and in matching lymph nodes. Associated microbiome 16S sequencing data is available.
Project description:The human colon contains an extensively diverse microbial ecosystem and one of the most numerous communities of immune cells. Studies have highlighted dynamic crosstalk between immune cells and commensals. While studies have demonstrated increasing diversity of microbiota from stomach to stool, whether and how immune cell heterogeneity and microbiota diversity change across the colon is undefined. Furthermore, whether these changes are co-depended in the healthy colon is unknown. Here, tissue samples are collected from caecum, transverse colon, sigmoid colon and mLN of cadaveric donors by the Cambridge Biorepository of Translational Medicine (CBTM). We use single cell RNA sequencing (10X genomics) to assess the dynamics of immune cell populations across the colon and in matching lymph nodes. Associated microbiome 16S sequencing data is available.
Project description:We sought to elucidate the molecular mechanisms whereby LIN28B functions by comparing the gene expression profile of cells constitutively expressing LIN28B to empty vector controls. Accordingly, we performed microarray analysis on total RNA isolated from empty vector LoVo and LIN28B-expressing LoVo colon cancer cell lines. Constitutive LIN28B expression was achieved in the LoVo (ATCC #CCL-229) colon cancer cell line via retroviral transduction of MSCV-PIG-LIN28B. Contol = empty vector MSCV-PIG.
Project description:The wide application of pig disease model has caused a surge of interest in the study of derivation of pig induced pluripotent cells (iPSCs). Here we performed genome-wide analysis of gene expression profiling by RNA-seq and small RNA-seq and DNA methylation profile by MeDIP-seq in pig iPSCs through comparison with somatic cells. We identified mRNA and microRNA transcripts that were specifically expressed in pig iPSCs. We then pursued comprehensive bioinformatics analyses, including functional annotation of the generated data within the context of biological pathways, to uncover novel biological functions associated with maintenance of pluripotency in pig. This result supports that pig iPS have transcript profiles linked to ribosome, chromatin remodeling, and genes involved in cell cycle that may be critical to maintain their pluripotency, plasticity, and stem cell function. Our analysis demonstrates the key role of RNA splicing in regulating the pluripotency phenotype of pig cells. Specifically, the data indicate distinctive expression patterns for SALL4 spliced variants in different pig cell types and highlight the necessity of defining the type of SALL4 when addressing the expression of this gene in pig cells. MeDIP-seq data revealed that the distribution patterns of methylation signals in pig iPS and somatic cells along the genome. We identify 25 novel porcine miRNA, including pluripotency-related miR-302/367cluster up-regulated in pig iPSCs. At last, we profile the dynamic gene expression signature of pluripotent genes in the preimplantation development embryo of pig. The resulting comprehensive data allowed us to compare various different subsets of pig pluripotent cell. This information provided by our analysis will ultimately advance the efforts at generating stable naive pluripotency in pig cells.