Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Small RNA-seq of chronic pancreatitis patient plasma samples

ABSTRACT: The purpose of our study was to identify miRNAs that can predict islet transplantation outcomes. We hypothesize that miRNAs may be used to predict islet function post-transplantation in TPIAT patients

ORGANISM(S): Homo sapiens

PROVIDER: GSE229528 | GEO | 2024/04/10

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Small RNA-seq of chronic pancreatitis patient plasma samples

Project description:Small RNA-seq of chronic pancreatitis patient plasma samples

| PRJNA954838 | ENA

MicroRNA expression in Alcoholic Chronic Pancreatitis

Project description:Microarray was used to find out the differentially expressed miRNAs in Alcoholic Chronic Pancreatitis as compared to healthy control. Resulting miRNAs could be further used to understand the disease as well as could act as secretory biomarker.

2020-12-22 | GSE128425 | GEO

Plasma miRNA expression profiling of pancreatic ductal adenocarcinoma patient, chronic pancreatitis patients and healthy population in China

Project description:There is an urgent need for early detection of Pancreatic ductal adenocarcinoma (PDAC). Due to high stability and tight relationship with tumor genesis and development, miRNA has been considered as a type of potential biomarkers for PDAC detection and surveillance. However, up to now, the common miRNA panel for PDAC detection is still undetermined. In order to reveal the differential miRNA expression profiles between PDAC patients(P group), chronic pancreatitis patients(C group) and healthy persons(H group), plasma samples were collected from threegroups, further the genome wide small RNA expression profiling was performed.

2021-05-22 | GSE114778 | GEO

Transcriptome profiling of the pancreas samples from animals showing autoimmune pancreatitis and chronic pancreatitis

Project description:Autoimmune pancreatitis (AIP) is a disease with unclear immunologic triggers. This study shows that the pancreatic stellate cells are involved in the regulation of the immune response and can cause autoimmunity when the NF-κB signalling in these cells is disrupted.

2022-03-31 | E-MTAB-7274 | biostudies-arrayexpress

Analyze the metabolic characteristics in fecal and peripheral blood plasma samples from different patient populations_blood

Project description:<p>Given that hepatitis B virus (HBV)-related hepatocellular carcinoma (HBV-HCC) exhibits unique gut microbial and metabolic characteristics that influence the immunosuppressive tumor microenvironment, a better understanding of the correlations among gut microbiota, metabolism, and immunosuppressive responses may help predict the occurrence and prognosis of HBV-HCC. This project is expected to analyze the metabolic characteristics in fecal and peripheral blood plasma samples from different patient populations.</p>

2025-10-29 | MTBLS13231 | MetaboLights

Plasma miRNA Differential Expression Analysis and miRNA-mRNA Network Construction in Patients with Acute Pancreatitis

Project description:In the early stages of acute pancreatitis, diagnostic sensitivity is limited and prognosis is difficult to determine. We provide a new idea for the diagnosis and prognosis of AP by studying the expression of plasma miRNAs in patients. Plasma samples from 22 normal subjects and AP patients at different stages were screened for miRNAs sequencing. A total of 27 miRNAs were found to be differentially expressed. Then we performed downstream target gene prediction for differentially expressed miRNAs. Analysising of KEGG, GO, GSEA and network interaction, it was found that its therapeutic effect was closely related to apoptosis, inflammatory response and autophagy process.

2025-03-01 | GSE169257 | GEO

Discovery and validation of a gene expression profile for human islet integrity and transplant functionality

Project description:There is growing evidence that transplantation of cadaveric human islets is an effective therapy for type 1 diabetes. However, gauging the suitability of islet samples for clinical use remains a challenge. We hypothesized that islet quality is reflected in the expression of specific genes. Therefore, gene expression in 59 human islet preparations was analyzed and correlated with diabetes reversal after transplantation in diabetic mice. Analysis yielded 262 differentially expressed probesets, which together predict islet quality with 83% accuracy. Pathway analysis revealed that failing islet preparations activated inflammatory pathways, while functional islets showed increased regeneration pathway gene expression. Gene expression associated with apoptosis and oxygen consumption showed little overlap with each other or with the 262 probeset classifier, indicating that the three tests are measuring different aspects of islet cell biology. A subset of 36 probesets surpassed the predictive accuracy of the entire set for reversal of diabetes, and was further reduced by logistic regression to sets of 14 and 5 without losing accuracy. These genes were further validated with an independent cohort of 16 samples. We believe this limited number of gene classifiers in combination with other tests may provide complementary verification of islet quality prior to their clinical use.

2017-09-14 | GSE75062 | GEO