PXD058639-1

PXD058639 is an original dataset announced via ProteomeXchange.

Title	Amyloid-ID: a photochemical proteomic approach to profile amyloidome in Alzheimer’s disease
Description	Deposition of amyloid proteins and their associated interactome (amyloidome) is a pathological hallmark of Alzheimer’s disease (AD) as well as other neurodegenerative diseases. However, achieving precise and targeted identification of the amyloidome has remained a significant challenge. To address this, we presents a photochemical proteomic strategy (namely Amyloid-ID) to profile the protein composition of amyloid deposits in AD mouse hippocampus sections. This strategy involves the development of a photosensitized Thioflavin T derivative to perform selective photocatalytic labeling of amyloids and their adjacent interactome using nucleophilic substrates. The probe is engineered to divert excited state energy from singlet fluorescence to triplet photosensitized labeling while maintaining its pan-amyloid binding affinity and selectivity. Tandem mass spectrometry (LC-MS/MS) and photochemical characterizations reveal diverse residue modification sites and bioconjugation mechanisms via type-I radical based photosensitization. In an AD mouse model (3×Tg), we demonstrate the Amyloid-ID technique in chemoproteomic profiling of amyloidome composition. The technical feasibility is validated by immunofluorescence co-localization of identified hits and proteomic alignments with reported amyloidome datasets. Finally, we employ this technique to examine amyloidomic variations among three commonly used neurodegenerative mouse models (3×Tg, rTg4510, and APP/PS1). Overall, this work exemplifies a chemical extension of the proximity labeling concept, showcasing a powerful strategy for the targeted identification of amyloidosis-related proteins in neurodegenerative diseases.
HostingRepository	iProX
AnnounceDate	2024-12-06
AnnouncementXML	Submission_2024-12-05_23:21:35.101.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Nan Zhao
SpeciesList	scientific name: Mus musculus; NCBI TaxID: 10090;
ModificationList	No PTMs are included in the dataset
Instrument	Orbitrap Fusion Lumos

Revision	Datetime	Status	ChangeLog Entry
0	2024-12-05 23:21:23	ID requested
⏵ 1	2024-12-05 23:21:35	announced

Dataset with its publication pending

submitter keyword: amyloidome, Alzheimer’s disease, LC-MS/MS, amyloid proteome

Lihua Zhang
contact affiliation	Dalian Institute of Chemical Physics
contact email	lihuazhang@dicp.ac.cn
lab head
Nan Zhao
contact affiliation	Dalian Institute of Chemical Physics
contact email	zhaonan@dicp.ac.cn
dataset submitter

iProX dataset URI