Deciphering the role of metal ion transport-related genes in T2D pathogenesis and immune cell infiltration via scRNA-seq and machine learning

Deciphering the role of metal ion transport-related genes in T2D pathogenesis and immune cell infiltration via scRNA-seq and machine learning

IntroductionType 2 diabetes (T2D) is a complex metabolic disorder with significant global health implications. Understanding the molecular mechanisms underlying T2D is crucial for developing effective therapeutic strategies. This study employs single-cell RNA sequencing (scRNA-seq) and machine learn...

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Bibliographic Details
Main Authors: Zuhui Pu, Tony Bowei Wang, Ying Lu, Zijing Wu, Yuxian Chen, Ziqi Luo, Xinyu Wang, Lisha Mou
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Immunology
Subjects:
type 2 diabetes
immune cell infiltration
single-cell RNA sequencing
machine learning
protein-protein interaction
therapeutic targets
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2024.1479166/full
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