Diverse intracellular trafficking of insulin analogs by machine learning-based colocalization and diffusion analysis

iScience 2026 Open access

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Authors: Sara Vogt Bleshøy, Jacob Kæstel-Hansen, Annette Juma Nielsen, Narendra Kumar Mishra, Knud J. Jensen, Nikos S. Hatzakis
DOI: 10.1016/j.isci.2025.114516
Cited by: 1
References: 80

Abstract

both in diffusional behavior and lysosomal colocalization. The method offers a detailed understanding of insulin analog biology and provides a reliable machine-learning methodology to identify subtle variations in intracellular pathways of intricate cellular processes.

Fields of Study & Subjects

Advanced Fluorescence Microscopy Techniques Pancreatic function and diabetes Cellular transport and secretion

Publication details

Journal / source
iScience
Publisher
Elsevier BV
Volume
29
Issue
2
Pages
114516–114516
Publication date
8 January 2026
Language
EN