Pancreatic fluid
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1114082 | ENA |
REPOSITORIES: ENA
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Project description:In the current study, we characterized the global miRNA expression profile in mouse pancreatic acinar cells during acute pancreatitis using next-generation RNA-Sequencing. We identified 330 known and 6 novel miRNAs being expressed in mouse pancreatic acinar cells. At basal state, miR-148a-3p, miR-375-3p, miR-217-5p, miR-216a-5p were among the most abundantly expressed whereas miR-24-5p and miR-421-3p were least abundant. Treatment of acinar cells with supra-maximal caerulein or bile acid induced numerous changes in miRNA expression levels. In particular, we observed significant upregulation of miR-21-3p in these experiments, which was further, confirmed using mouse models of acute pancreatitis. In summary, this is the first comprehensive analysis of miRNA expression in healthy mouse pancreatic acinar cells and how this expression signature changes in acute pancreatitis.
2016-10-25 | GSE81260 | GEO
Project description:Diurnal dynamics of gaseous and dissolved metabolites and microbiota composition in the bovine rumen
| PRJEB17837 | ENA
Project description:Cholangiocarcinoma (CCA) and pancreatic adenocarcinoma (PDAC) may lead to the development of extrahepatic obstructive cholestasis. However, biliary stenoses can also be caused by benign conditions, and the identification of their etiology still remains a clinical challenge. We performed metabolomic and proteomic analyses of bile from patients with benign (n=36) and malignant conditions, CCA (n=36) or PDAC (n=57), undergoing endoscopic retrograde cholangiopancreatography with the aim of characterizing bile composition in biliopancreatic disease and identifying biomarkers for the differential diagnosis of biliary strictures. Comprehensive analyses of lipids, bile acids and small molecules were carried out using mass spectrometry (MS) and nuclear magnetic resonance spectroscopy (1H-NMR) in all patients. MS analysis of bile proteome was performed in five patients per group. We implemented artificial intelligence tools for the selection of biomarkers and algorithms with predictive capacity. Our machine-learning pipeline included the generation of synthetic data with properties of real data, the selection of potential biomarkers (metabolites or proteins) and their analysis with neural networks (NN). Selected biomarkers were then validated with real data. We identified panels of lipids (n=10) and proteins (n=5) that when analyzed with NN algorithms discriminated between patients with and without cancer with an unprecedented accuracy.
2021-09-09 | PXD019924 | Pride
Project description:A total of 16 clinical samples from ductal adenocarcinoma, 6 samples from chronic pancreatitis, and 4 samples from morphologically normal resection margins from chronic pancreatitis resectates were analyzed.
2015-02-27 | E-MTAB-3365 | biostudies-arrayexpress
Project description:Autoimmune pancreatitis (AIP) is a disease with unclear immunologic triggers. This study shows that the pancreatic stellate cells(PSCs) are involved in the regulation of the immune response and can cause autoimmunity when the NF-κB signalling in these cells is disrupted. The PSCs were isolated from animals which show autoimmune pancreatitis (NEMO knockout group) or chronic pancreatitis (NEMO wildtype group).
2023-06-30 | E-MTAB-7337 | biostudies-arrayexpress
Project description:The aim of this experiment is to unravel PDAC biology and phospho-print based on aberrant kinase activities and proteome alterations. For this we will perform pTYyrIP, Bravo_IMAC, and protein expression data of n=56 tissues encompassing 47 pancreatic ductal adenocarcinoma (PDAC), 5 cholangiocarcinoma, 1 Intraductal Papillary Mucinous Neoplasm (IPMN), 1 pancreatitis and 1 pancreatitis-Pancreatic Intraepithelial Neoplasia (PanIN) tissue. Pancreatitis, PanIN, and IPMN are seen as early events predecessing PDAC. An equiproportional pool of 5 PDAC cell lines (PANC1, SUIT-2, CFPAC-1, HPAC, MIAPACA2) is also taken along.
2024-04-23 | PXD043111 | Pride
Project description:Pancreatic ducts form an intricate network of tubules that secrete bicarbonate and drive acinar secretions into the duodenum. This network is formed by centroacinar cells, terminal, intercalated, intracalated ducts, and the main pancreatic duct. Ductal heterogeneity at the single-cell level has been poorly characterized. Here, we used scRNA-seq to comprehensively characterize mouse ductal heterogeneity at single-cell resolution of the entire ductal epithelium from centroacinar cells to the main duct. Moreover, we used organoid cultures, injury models and pancreatic tumor samples to interrogate the role of novel ductal populations in pancreas regeneration and exocrine pathogenesis. In our study, we have identified the coexistence of 15 ductal populations within the healthy pancreas and characterized their organoid formation capacity and endocrine differentiation potential. Cluster isolation and subsequent culturing let us identify ductal cell populations with high organoid formation capacity and endocrine and exocrine differentiation potential in vitro, including Wnt-responsive-population, ciliated-population and FLRT3+ cells. Moreover, we have characterized the location of these novel ductal populations in healthy pancreas, chronic pancreatitis and tumor samples, hightlihgting a putative role of WNT-responsive, IFN-responsive and EMT-populations in pancreatic exocrine pathogenesis as their expression inceases in chronic pancreatitis and PanIN lesions. In light of our discovery of previously unidentified ductal populations, we unmask the potential roles of specific ductal populations in pancreas regeneration and exocrine pathogenesis.
2024-03-24 | GSE262292 | GEO
Project description:This project analyzes pancreatic tissue profiles of pancreatic cancer patients, pancreatitis patients, and controls. Since miRNAs are known to be valuable diagnostic markers, we asked whether respective patterns of pancreatic cancer patients can be detected in biopsies. The project aimed at an impoved understanding of complex profiles rather than single markers. Thus, a high-throughput technique was necessary, profiling all known miRNAs integratively. Three markers have been validated by using qPCR. n = 22 normal controls, n = 27 pancreatitis samples, and n = 136 pancreatic cancer samples have been screened for the complete miRNA repertoire. Please note that each miRNA has been measured in seven replicates and the median of the replica has been computed.
2012-01-01 | E-GEOD-24279 | biostudies-arrayexpress
Project description:Lineage tracing using genetically engineered mouse models has become an essential tool for investigating cell-fate decisions of progenitor cells and biology of mature cell types, with respect to physiology and disease progression. To study disease development, an inventory of an organ’s cell types and understanding of physiologic function is paramount. Here, we performed single-cell RNA sequencing to examine heterogeneity of murine pancreatic duct cells, pancreatobiliary cells, and intrapancreatic bile duct cells. We isolated duct cells within the murine pancreas using the DBA lectin sorting strategy that labels all pancreatic duct cell types. Our data contest the paradigm suggested by previous single cell studies that murine pancreatic duct cells are homogenous. We describe an epithelial mesenchymal transitory axis among our two subpopulations of pancreatic duct cells and identify SPP1 as a regulator of this phenotype and human duct cell de-differentiation. Our results further define functional heterogeneity of pancreatic duct subpopulations by elucidating a role for Geminin in accumulation of DNA damage in the setting of chronic pancreatitis. Our findings implicate diverse functional roles for subpopulations of pancreatic duct cells in disease progression and establish a comprehensive road map of murine pancreatic duct cell, pancreatobiliary cell, and intrapancreatic bile duct cell homeostasis.
2021-02-28 | GSE159343 | GEO
Project description:Quantitative proteome profiling of 72 samples of tumor and normal tissues from pancreatic cancer (PC) patients, tissues from patients with pancreatitis samples and PDX-derived cell lines.
2022-05-20 | PXD025120 | JPOST Repository