Interpretable machine learning-guided single-cell mapping deciphers multi-lineage pancreatic dysregulation in type 2 diabetes.

Journal: Cardiovascular diabetology
Published Date:

Abstract

BACKGROUND: Pancreatic cellular heterogeneity is fundamental to systemic metabolic regulation, yet its pathological remodeling in diabetes remains poorly characterized.

Authors

  • Xueqin Xie
    College of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
  • Changchun Wu
    Department of Mechanical Engineering, University of Hong Kong, Hong Kong, Hong Kong.
  • Yuhe Yang
    College of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
  • Wei Su
    Department of Science and Technology, Hebei Agricultural University, Huanghua, China.
  • Fuying Dao
    School of Biological Sciences, Nanyang Technological University, Singapore 639798, Singapore.
  • Jian Huang
    Center for Informational Biology, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu 611731, P. R. China.
  • Zheng Shi
    Clinical Genetics Laboratory, Clinical Medical College & Affiliated Hospital, Chengdu University, Chengdu, China.
  • Hao Lyu
    Department of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.
  • Hao Lin
    Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, Zhejiang, China.