A prediction model identifying glycolysis signature as therapeutic target for psoriasis.

ABSTRACT:

Background

The hyperproliferation featured with upregulated glycolysis is a hallmark of psoriasis. However, molecular difference of keratinocyte glycolysis amongst varied pathologic states in psoriasis remain elusive.

Objectives

To characterize glycolysis status of psoriatic skin and assess the potential of glycolysis score for therapeutic decision.

Methods

We analyzed 345414 cells collected from different cohorts of single-cell RNA seq database. A new method, Scissor, was used to integrate the phenotypes in GSE11903 to guide single-cell data analysis, allowing identification of responder subpopulations. AUCell algorithm was performed to evaluate the glycolysis status of single cell. Glycolysis signature was used for further ordering in trajectory analys

SUBMITTER: Shou Y 

PROVIDER: S-EPMC10185821 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature