Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Short Noncoding RNAs as predictive biomarkers for the development from Inflammatory Bowel Disease Unclassified to Crohn’s Disease or Ulcerative Colitis

ABSTRACT: Short Noncoding RNAs as predictive biomarkers for the development from Inflammatory Bowel Disease Unclassified to Crohn’s Disease or Ulcerative Colitis

PROVIDER: PRJNA952231 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Short Noncoding RNAs as predictive biomarkers for the development from Inflammatory Bowel Disease Unclassified to Crohn’s Disease or Ulcerative Colitis

Project description:To find predictive biomarkers for the development from inflammatory bowel disease unclassified (IBDU) to Crohn's disease(CD) or ulcerative colitis (UC), we performed short non-coding RNA profiling on IBDU patient samples at the time of diagnostic endoscopy.

2024-03-04 | GSE228622 | GEO

Aberrant miR-29 is a predictive feature of severe phenotypes in pediatric Crohn’s disease

Project description:Aberrant miR-29 is a predictive feature of severe phenotypes in pediatric Crohn’s disease

| PRJNA913782 | ENA

RNA-seq of nonstenotic and stenotic areas of patients with Crohn’s disease

Project description:Fibrostenotic disease is a common complication in Crohn’s disease (CD). We performed bulk RNA sequencing (n=16) of paired intestinal biopsies taken from nonstenotic and stenotic areas of patients with CD (n=8).

2023-04-26 | E-MTAB-12788 | biostudies-arrayexpress

MUCOSAL EXPRESSION OF GENES PI3, ANXA1, AND VDR DESCRIMINATES CROHN’S DISEASE FROM ULCERATIVE COLITIS IN INFLAMMATORY BOWEL DISEASE PATIENTS

Project description:MUCOSAL EXPRESSION OF GENES PI3, ANXA1, AND VDR DESCRIMINATES CROHN’S DISEASE FROM ULCERATIVE COLITIS IN INFLAMMATORY BOWEL DISEASE PATIENTS

| PRJNA917586 | ENA

Single-Cell Analyses of Colon and Blood Reveal Distinct Immune Cell Signatures of Ulcerative Colitis and Crohn’s Disease

Project description:This scRNA-seq dataset of five human subjects with ulcerative colitis (derived from colonic lamina propria samples), was analyzed and published as part of a larger manuscript (Mitsialis, V et al, "“Single-Cell Analyses of Colon and Blood Reveal Distinct Immune Cell Signatures of Ulcerative Colitis and Crohn’s Disease” in Gastroenterology), which reported immune signatures of blood and intestinal tissue differentiating ulcerative colitis from Crohn's disease from non-IBD human subjects using mass cytometry as well as scRNA-seq.

2020-05-09 | GSE150115 | GEO

MUCOSAL EXPRESSION OF GENES PI3, ANXA1, AND VDR DESCRIMINATES CROHN’S DISEASE FROM ULCERATIVE COLITIS IN INFLAMMATORY BOWEL DISEASE PATIENTS

Project description:Differential diagnosis in inflammatory bowel disease (IBD) patients from the start of the diagnosis is challenging. In this study we tried to discriminate two subtypes of IBD such as Chron's disease(CD) and Ulcerative colitis (UC) using differential expression of genes from formalin-fixed paraffin-embedded mucosal biopsies of 33 IBD patients and 10 healthy controls.

2023-10-27 | GSE222070 | GEO

A functional genomics predictive network model identifies regulators of inflammatory bowel disease: Mount Sinai Hospital (MSH) Population Specimen Collection and Profiling of Inflammatory Bowel Disease

Project description:This study focuses on inflammatory bowel disease gene expression profiling. Surgical specimens from 134 patients undergoing bowel resection for inflammatory bowel disease (IBD) and non IBD controls at Mount Sinai Medical Center were collected as the source of tissue. Control samples (CLs) were harvested from normal non inflamed bowel located more than 10 cm away from the tumor from patients undergoing bowel resection for sporadic colon cancer. Ulcerative colitis (UC) and Crohn’s (CD) patient samples were all isolated from areas containing moderate to severe inflammation. The diagnostic pathology report for each specimen was provided by the Mount Sinai Hospital Pathology Department. Patients with UC and patients with CD shared common medications including corticosteroids, infliximab, azathioprine, and mesalamine.

2017-07-07 | GSE83687 | GEO

Genome-wide gene expression differences between Crohn’s and ulcerative colitis from endoscopic pinch biopsies:

Project description:Ulcerative colitis (UC) and Crohn’s disease (CD) are inflammatory bowel diseases (IBD) with variable, overlapping clinical features and complex pathophysiologies. To identify pathogenic processes underlying these disease subtypes, using single endoscopic pinch biopsies to estabolish 36 expression profiles, we elucidated gene expression patterns of active and inactive areas of UC and CD, and compared these to infectious colitis and healthy controls. Keywords: RNA

2007-03-01 | GSE6731 | GEO

Blood-Derived DNA Methylation Signatures of Crohn’s Disease and Severity of Intestinal Inflammation

Project description:Crohn’s disease is a relapsing inflammatory disorder with a variable clinical course. While most patients present with purely an inflammatory phenotype (B1) at diagnosis, a subgroup (~20%) rapidly progresses to complicated disease manifestations that include stricturing (B2) within 5 years. DNA methylation is a key epigenetic mechanism that can regulate gene expression and thereby influence the development and progression of complex diseases. Site-specific DNA methylation differences have been reported in peripheral blood of patients with Crohn’s disease, but investigation of the temporal relationship between methylation and disease is required to establish whether the methylome plays a causal role and can be leveraged for therapeutic benefits. To this end, we conducted an epigenome-wide study of methylation (~850K sites) in peripheral blood at diagnosis and during follow-up from the RISK pediatric Crohn’s disease inception cohort. While some methylation changes associated with Crohn’s disease might be causal, in peripheral blood the vast majority are found to be a transient consequence of inflammation and thus a symptom of disease.

2018-04-03 | GSE112611 | GEO

Metaproteomics of fecal samples supports the diagnosis of Crohn’s Disease and Ulcerative Colitis

Project description:Objective Crohn’s Disease (CD) and Ulcerative Colitis (UC) are chronic inflammatory diseases of the gastrointestinal tract. Reliable diagnosis of these diseases requires a comprehensive examination of the patient, which include invasive endoscopy. This study assesses whether non-invasive LC-MS/MS based analysis of microbial and human proteins from feces may support the diagnosis of the diseases. Design In order to mimic a representative clinical background for this study, we investigated 17 healthy controls, 11 CD patients, 14 UC patients, also 13 Irritable Bowel Disease (IBS) patients, 8 Colon Adenoma (CA) patients, and 8 Gastric Carcinoma (GCA) patients. The proteins were extracted from the fecal samples with liquid phenol in a ball mill. Subsequently, the proteins were digested tryptically to peptides and analyzed by liquid chromatography coupled to an Orbitrap MS/MS. For protein identification and interpretation of taxonomic and functional results, the MetaProteomeAnalyzer software and the UniProtKB/SwissProt database and several metagenomes from human fecal samples were used. Results Cluster analysis and ANOSIM show a separation of healthy controls from patients with CD and UC as well as from patients with GCA. Among others, UC and CD correlated with an increase of neutrophil extracellular traps and immunoglobulins G (IgG) as well as a decrease of IgA. A specific marker metaprotein for CD was an increase of the human enzyme sucrose-isomaltase. IBS and CA patient’s fecal metaproteome showed only minor alterations. Conclusion Metaproteome analysis distinguished between patients with UC, CD and healthy controls and is therefore useful as a non-invasive tool for routine diagnostics in hospitals.

2019-03-11 | PXD010371 | Pride

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