Gene expression predicts histological severity and reveals distinct molecular profiles of nonalcoholic fatty liver disease
Version 1

In this study, we used publically available dataset from gene expression omnibus (GEO):

Transcriptomic analysis of liver biopsies that cover the spectrum of nonalcoholic fatty liver disease reveals genes that are progressively regulated over the course of the disease. This study demonstrates that progressive changes in expression of these genes can be used to approximate the histological grade of a liver biopsy. Furthermore, the relative progression profiles of these disease-responsive genes are shown to be distinct across patient biopsies. This observation suggests that there may be distinct biological processes that drive disease progression across individuals Overall design: This dataset contains transcriptomic profiles of 78 distinct human liver biopsies. Of these, 6 are histologically normal, and 72 cover the full spectrum of nonalcoholic fatty liver disease (NAFLD activity score 0-6, fibrosis stage 0-4).

SEEK ID: https://fairdomhub.org/data_files/4836?version=1

help Creators and Submitter
Creators
Not specified
Additional credit

Hoang SA et.al.

Submitter
Activity

Views: 1235

Created: 25th Nov 2021 at 11:14

Last updated: 25th Nov 2021 at 14:52

help Tags

This item has not yet been tagged.

help Attributions

None

Version History

Version 1 (earliest) Created 25th Nov 2021 at 11:14 by Hong Yang

No revision comments

Powered by
(v.1.16.0-pre)
Copyright © 2008 - 2024 The University of Manchester and HITS gGmbH