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CircRNA expression files in ILC3s after DSS treatment

ABSTRACT: circRNA expression files in ILC3s after DSS treatment

PROVIDER: PRJNA595909 | ENA |

REPOSITORIES: ENA

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circRNA expression files in ILC3s after DSS treatment

Project description:To explore the role of circRNAs during ILC3-driven colitis, we isolated ILC3s from DSS treated or control Rag1-/- mice. Then circRNA microArray analysis were performed and differentially expressed circRNAs were identified.

2019-12-17 | GSE142106 | GEO

circRNA expression files in invasive CRC cells

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Project description:To explore the role of circRNAs during CRC (colorectal cancer) metastasis, we isolated CRC cells from human sample and performed transwell assay. Then circRNA microArray analysis were performed and differentially expressed circRNAs were identified.

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Comparison of transcriptional profiles of (1) intestinal ILC3s isolated from WT and IL-17D-deficient mice; (2) CD93+ILC3s and CD93-ILC3s from WT mice

Project description:IL-17D/CD93 axis was essential for ILC3s hemostasis. In order to further understand how IL-17D-CD93 axis regulate ILC3s function, we conducted RNA-seq analysis of ILC3s.

2021-05-20 | GSE165788 | GEO

Comparison of transcriptional profiles of cultured intestinal ILC3s to freshly isolated splenic and intestinal ILC3s

Project description:ILC3s from the spleen (SP) and small intestine (SI) have been shown to be phenotypically and functional different. Intestinal factors are likely to regulate transcriptional profiles and thereby function of ILC3s. The goal of this study is to analyze if SI ILC3s acquire a SP-similar transcriptional profile after in vitro culture. Therefore transcriptional profiles of cultured SI ILC3s were compared to freshly isolated ILC3s of the murine SP and the SI by RNA seq technology. Cell suspension were generated from both organs and ILC3s (CD117+, Thy1.2+, KLRG1-, lin- (CD3, CD8, CD11b, CD11c, CD19, B220, Gr-1, TCRβ, TCRγδ, TER-119, NK1.1)) were sort purified. SI ILC3 were cultured for 7 days in vitro with IL-2, IL-7 and SCF. RNA was isolated and RNA sequencing was done using Ilumina Hiseq 2500 system and NuGEN Ovation RNA Seq System V2, with biological replicates. We show that intestinal ILC3 acquire a splenic-similar transcriptional profile after in vitro culture.

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Hungarian BAM files

Project description:Hungarian BAM files

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AOM/DSS tumors 5FU+Irinotecan treatment

Project description:The tumor microenvironment plays a key role in the pathogenesis of colorectal tumors and contains various cell types including epithelial, immune, and mesenchymal cells. Characterization of the interactions between these cell types is necessary for revealing the complex nature of tumors. In this study, we used single-cell RNA-seq (scRNA-seq) to compare the tumor microenvironments between a mouse model of sporadic colorectal adenoma (Lrig1CreERT2/+;Apc2lox14/+) and a mouse model of inflammation-driven colorectal cancer induced by azoxymethane and dextran sodium sulfate (AOM/DSS). While both models develop tumors in the distal colon, we found that the two tumor types have distinct microenvironments. AOM/DSS tumors have an increased abundance of two populations of cancer-associated fibroblasts (CAFs) compared with APC tumors, and we revealed their divergent spatial association with tumor cells using multiplex immunofluorescence (MxIF) imaging. We also identified a unique squamous cell population in AOM/DSS tumors, whose origins were distinct from anal squamous epithelial cells. These cells were in higher proportions upon administration of a chemotherapy regimen of 5-Fluorouracil/Irinotecan. We used computational inference algorithms to predict cell-cell communication mediated by ligand-receptor interactions and downstream pathway activation, and identified potential mechanistic connections between CAFs and tumor cells, as well as CAFs and squamous epithelial cells. This study provides important preclinical insight into the microenvironment of two distinct models of colorectal tumors and reveals unique roles for CAFs and squamous epithelial cells in the AOM/DSS model of inflammation-driven cancer. This series comprises the drug treatment set as well as the fibroblast enrichment set.

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