Abstract

Mass spectrometry-based methods can provide a global expression profile and structural readout of proteins in complex systems. Preserving the in vivo conformation of proteins in their innate state is challenging during proteomic experiments. Here, we introduce a whole animal in vivo protein footprinting method using perfusion of reagents to add dimethyl labels to exposed lysine residues on intact proteins which provides information about protein conformation. When this approach is used to measure dynamic structural changes during Alzheimer’s disease (AD) progression in a mouse model, we detect 433 proteins that undergo structural changes attributed to AD, independent of aging, across 7 tissues. We identify structural changes of co-expressed proteins and link the communities of these proteins to their biological functions. Our findings show that structural alterations of proteins precede changes in expression, thereby demonstrating the value of in vivo protein conformation measurement. Our method represents a strategy for untangling mechanisms of proteostasis dysfunction caused by protein misfolding. In vivo whole-animal footprinting should have broad applicability for discovering conformational changes in systemic diseases and for the design of therapeutic interventions.

This study introduces an in vivo protein footprinting method, revealing structural changes in proteome during progressing AD. It demonstrates these changes occur before expression alterations, advancing understanding of protein misfolding mechanisms.

Details

Title
Using in vivo intact structure for system-wide quantitative analysis of changes in proteins
Author
Son, Ahrum 1 ; Kim, Hyunsoo 2 ; Diedrich, Jolene K. 1 ; Bamberger, Casimir 1   VIAFID ORCID Logo  ; McClatchy, Daniel B. 1   VIAFID ORCID Logo  ; Lipton, Stuart A. 3   VIAFID ORCID Logo  ; Yates, John R. 1   VIAFID ORCID Logo 

 La Jolla, Department of Molecular Medicine, The Scripps Research Institute, California, USA (GRID:grid.214007.0) (ISNI:0000 0001 2219 9231) 
 La Jolla, Department of Molecular Medicine, The Scripps Research Institute, California, USA (GRID:grid.214007.0) (ISNI:0000 0001 2219 9231); Yuseong-gu, Department of Convergent Bioscience and Informatics, Chungnam National University, 99 Daehak-ro, Daejeon, Republic of Korea (GRID:grid.254230.2) (ISNI:0000 0001 0722 6377) 
 La Jolla, Department of Molecular Medicine, The Scripps Research Institute, California, USA (GRID:grid.214007.0) (ISNI:0000 0001 2219 9231); The Scripps Research Institute, Neurodegeneration New Medicines Center, La Jolla, USA (GRID:grid.214007.0) (ISNI:0000 0001 2219 9231); San Diego, Department of Neurosciences School of Medicine University of California, La Jolla, USA (GRID:grid.266100.3) (ISNI:0000 0001 2107 4242) 
Pages
9310
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3121435502
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.