Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene Expression Profiling of Acute Pancreatitis

ABSTRACT: Peripheral blood was collected from 87 patients with acute pancreatitis (AP) of varying severity (Mild=57, Moderately-Severe=20, Severe=10) within 24 hours of presentation to the hospital and from 32 healthy controls. RNA-Seq was performed to identify changes in expression in severe AP cf. mild, moderately-severe, and healthy controls.

ORGANISM(S): Homo sapiens

PROVIDER: GSE194331 | GEO | 2022/03/01

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

single cell RNA sequencing of mouse blood during acute pancreatitis and recovery

Project description:Acute pancreatitis (AP) is an inflammatory disease with a mild to severe course, local and systemic complications, and a high mortality rate. Macrophage activation correlates with disease severity.Single cell RNA-sequencing was performed to identify inflammatory signals during AP and recovery using the blood from experimental AP model. We demonstrate that myeloid-ANXA1 expression is upregulated in peripheral blood during the initial phase of AP.

2023-12-10 | GSE249349 | GEO

microRNA expression in Mestenteric lymph samples from rat models of acute pancreatitis

Project description:MicroRNAs in body fluids are becoming interesting markers for disease state. Here we assessed their presence in Mesenteric Lymph to identify candidate biomarkers for pancreatitis using a rat model of the disease. We used Affymetrix microRNA arrays to assess the differences in mesenteric lymph fluid miRNAs in a taurocholate induced rat model of pancreatitis Mesenteric lymph was collected from five biological replicates from control sham operated animals (SHAM), fluid resuscitated taurocholate induced acute pancreatitis (RAP) and non-resuscitated taurocholate induced pancreatitis animals (AP). The latter group represent a more severe form of the disease.

2014-03-31 | E-GEOD-42455 | biostudies-arrayexpress

Hepatic transcriptome analysis of control, acute pancreatitis and severe acute pancreatitis mice

Project description:Purpose: The purpose of this study was to compare the hepatic transcriptome in the control group, acute pancreatitis, and severe acute pancreatitis, in order to identify metabolic gene changes during pancreatitis. Methods: 6-week Balb/c mice were subjected to AP (caerulein), SAP (caerulein and LPS) and control (saline), and mice liver tissues were harvested at 24 hours for RNA preparation (n=8 each group). Results: Among 11952 mapped genes, 8977 differentially expressed genes were identified by RNA-seq, including 351 genes induced in AP compare to Control and 5249 genes down regulated in SAP compare to AP. The genes up regulated were mainly related to fatty acid oxidation and ketone body synthesis especially Cpt2 and Acadvl, while genes that down regulated were associated with energy metabolism and inflammation. The overlap of two gene sets were 96 genes that involved in fatty acid metabolism. Conclusions: Our study revealed that in AP, genes associated with ketone body synthesis are upregulated in liver, in SAP, fatty acid oxidation related genes are downregulated in liver. Our data revealed the crosstalk between pancreas and liver, illustrated the difference of metabolism in AP and SAP.

2022-04-06 | GSE151927 | GEO

Comprehensive analysis of differentially expressed lncRNA, and mRNA and their ceRNA networks in mice with the initial stage acute pancreatitis

Project description:Acute pancreatitis (AP) is a prevalent digestive disorder with significant morbidity and mortality rates. This study, for the first time, employed high-throughput sequencing on pancreatic tissues from normal and AP mice to identify differentially expressed long noncoding RNAs (lncRNAs) and mRNAs, as well as related signaling pathways, in the early stage of AP. We found 261 lncRNAs and 1,522 mRNAs to be differentially expressed, with Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses revealing gene functions enriched in cellular metabolism, intercellular structure, and positive regulation of inflammation. By constructing lncRNA-miRNA-mRNA networks, we explored underlying mechanisms and interactions in AP. Notably, knockout of Neat1 in mice inhibited pyroptosis in AP and severe acute pancreatitis (SAP) models, suggesting Neat1's pivotal role in AP pathogenesis. These findings highlight the importance of lncRNAs, particularly Neat1, in AP, offering new insights into SAP pathogenesis and potential therapeutic targets.

2024-11-13 | GSE272464 | GEO

Hepatic transcriptome analysis of control, acute pancreatitis and severe acute pancreatitis mice

Project description:Hepatic transcriptome analysis of control, acute pancreatitis and severe acute pancreatitis mice

| PRJNA637754 | ENA

Potential regulatory proteins in pancreatitis were screened by proteomics using pancreatic tissues of PRSS1 AP mice

Project description:Humanized PRSS1 transgenic mice were constructed and treated with caerulein to mimic the development of human AP and CP. Potential regulatory proteins in pancreatitis were screened by proteomics using pancreatic tissues of PRSS1 AP mice.

2021-09-09 | PXD016651 | Pride

Expression Data from regulatory T-cells in a model of acute pancreatitis

Project description:Foxp3 positive regulatory T-cells were isolated by FACS from spleen of mice with acute pancreatitis induced by partial pancreatic duct ligation, mice without pancreatitis refer as controls we used microarrays to investigate the activation of Tregs during acute pancreatitis

2023-02-01 | GSE196410 | GEO

Gene expression profile of peripheral blood mononuclear cells from mild and severe COVID-19 patients, severely ill COVID-19 patients treated with dexamethasone and healthy controls

Project description:The objective of this experiment was to compare the transcriptomic profile (NanoString platform) of peripheral blood mononuclear cells (PBMCs) from COVID-19 patients with mild disease, and patients with severe COVID-19 with and without dexamethasone treatment, and healthy controls. We analyzed PBMCs from 4 mild COVID patients, 3 severe COVID patients,4 severe COVID patients treated with dexamethasone, and 5 healthy controls

2023-03-23 | GSE227341 | GEO

Characteristics of long non-coding RNAs in the pancreas of rats with acute pancreatitis

Project description:This study aimed to describe the microarray-based differential expression profile of mRNAs and lncRNAs in acute experimental pancreatitis and identify candidate biomarkers for the diagnosis, prognosis, and treatment of AP.

2018-11-10 | GSE122379 | GEO

Pancreatic cancer and pancreatitis miRNA profiles

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

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data