Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Transcription profiling of human ulcerative colitis colonic mucosa to define an ulcerative colitis preinflammatory state


ABSTRACT: The samples are a part of a study aiming at diagnosing ulcerative colitis from genome-wide gene expression analysis of the colonic mucosa. Colonic mucosal samples were collected as endoscopic pinch biopsies from ulcerative colitis patients and from control subjects. Samples with and without macroscopic signs of inflammation were collected from the patients. Experiment Overall Design: The series contain eight UC samples with macroscopic signs of inflammation, 13 UC smaples without macroscopic signs of inflammation, five control subjects.

ORGANISM(S): Homo sapiens

SUBMITTER: Jorgen Olsen 

PROVIDER: E-GEOD-9452 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Diagnosis of ulcerative colitis before onset of inflammation by multivariate modeling of genome-wide gene expression data.

Olsen Jørgen J   Gerds Thomas A TA   Seidelin Jakob B JB   Csillag Claudio C   Bjerrum Jacob T JT   Troelsen Jesper T JT   Nielsen Ole Haagen OH  

Inflammatory bowel diseases 20090701 7


<h4>Background</h4>Endoscopically obtained mucosal biopsies play an important role in the differential diagnosis between ulcerative colitis (UC) and Crohn's disease (CD), but in some cases where neither macroscopic nor microscopic signs of inflammation are present the biopsies provide only inconclusive information. Previous studies indicate that CD cannot be diagnosed by molecular and histological diagnostic tools using colonic biopsies without microscopic signs of inflammation, but it is unknow  ...[more]

Similar Datasets

2007-10-31 | GSE9452 | GEO
2010-09-26 | GSE24287 | GEO
2020-11-23 | MSV000086510 | MassIVE
2019-09-08 | PXD014479 | Pride
2005-04-01 | GSE2461 | GEO
2021-03-26 | PXD012632 | Pride
2014-09-05 | E-GEOD-48634 | biostudies-arrayexpress
2020-10-08 | E-MTAB-7860 | biostudies-arrayexpress
2013-09-23 | E-GEOD-36807 | biostudies-arrayexpress
2012-08-02 | GSE31106 | GEO