PXD079427

PXD079427 is an original dataset announced via ProteomeXchange.

Title	Vesicle fusion regulation in metabolism
Description	Many metabolic responses involve the trafficking of proteins within the endomembrane system. A major branch of membrane protein trafficking is vesicle fusion, which entails the merging of membrane-enclosed vesicles with their target membranes. Vesicle fusion mediates key metabolic processes, including the translocation of the glucose transporter GLUT4, insulin secretion, glucagon release, and GLP-1 secretion. Imbalances in these vesicle fusion processes are associated with metabolic disorders such as insulin resistance (IR) and type 2 diabetes (T2D). To devise effective therapeutic strategies for these disorders, it is crucial to understand how protein-protein networks mediate and regulate vesicle fusion in these metabolic pathways. Our research focuses on the vesicle fusion pathway critical for the insulin-dependent translocation of GLUT4 in adipocytes and muscle cells. In our preliminary studies, we developed CRISPR-based genetic platforms and identified new players in the vesicle fusion pathway. Additionally, through biochemical and biophysical assays, we uncovered novel protein-protein and protein-membrane binding modes in GLUT4 vesicle fusion. In this work, we aim to expand these preliminary findings to elucidate how the soluble and membrane proteins act in concert to mediate and regulate the vesicle fusion reaction and to understand how fusion kinetics are affected by changes in lipid composition. Our genetic experiments employ cultured adipose and muscle cells differentiated from progenitor cells, as well as genetically modified mouse strains. We will also use a novel platform of mature human adipocytes derived from differentiation of human pluripotent stem cells. As a crucial step towards grasping the molecular basis of IR, we will use mouse models to explore how a high-fat diet-induced IR condition affects vesicle fusion mediators. The experiments proposed here are expected to provide key mechanistic insights into the molecular basis of metabolic vesicle fusion, and will pave the way for understanding IR and T2D. Ultimately, these findings will likely contribute to the development of new treatments for these metabolic disorders.
HostingRepository	iProX
AnnounceDate	2026-06-09
AnnouncementXML	Submission_2026-06-08_21:31:04.449.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Xu Chen
SpeciesList	scientific name: Mus musculus; NCBI TaxID: 10090;
ModificationList	No PTMs are included in the dataset
Instrument	LTQ Orbitrap

Revision	Datetime	Status	ChangeLog Entry
0	2026-06-08 21:29:56	ID requested
⏵ 1	2026-06-08 21:31:04	announced

Dataset with its publication pending

submitter keyword: membrane trafficking

Jingshi Shen
contact affiliation	University of Colorado Boulder
contact email	jingshi.shen@colorado.edu
lab head
Xu Chen
contact affiliation	The Hong Kong Polytechnic University
contact email	fsnxu.chen@polyu.edu.hk
dataset submitter

iProX dataset URI