Semi‐Synthetic LC3‐Interacting Degrader for Visualizing Macroautophagic Activity and Targeted Degradation

Macroautophagy is central to cellular homeostasis and emerges as a promising avenue for targeted degradation. However, there is still a lack of efficient approaches allowing for visualizing macroautophagic flux and degradation. Here we develop a semi-synthetic LC3-interacting degrader (SLID) that enables fluorogenic imaging of macroautophagic activities and visualization of targeted degradation. SLID is engineered by fusing LC3-interacting regions (LIRs) to a self-labeling tag and an oligomeric motif, with the LIRs for binding to autophagosomes, the oligomeric motif for enhancing the binding, and the self-labeling tag for visualizing autophagosome formation using a pH indicator. SLID is further coupled to an antibody domain through a dimerization-induced proximity system, allowing chemically inducible degradation of target proteins. We show that this SLID platform permits efficient degradation of diverse target proteins such as disease-associated aggregation-prone proteins and phase-separated condensates. SLID also reveals elevated macroautophagic activities in senescent cells, and is repurposed for inducing senescent cell apoptosis via degradation of pro-survival and anti-apoptotic proteins. Our study highlights the great promise of SLID as a versatile tool for studying macroautophagy and targeted protein degradation.

Authors

Institutions

Publication Details

Journal
Angewandte Chemie International Edition
Published
2026-08-26
DOI
https://doi.org/10.1002/anie.7042721
Primary Topic
Autophagy in Disease and Therapy
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Semi‐Synthetic LC3‐Interacting Degrader for Visualizing Macroautophagic Activity and Targeted Degradation

Jian‐Hui Jiang, Fenglin Wang, Xia Chu, Li‐Juan Tang et al.
Angewandte Chemie International Edition
Autophagy in Disease and Therapy
article

Semi‐Synthetic LC3‐Interacting Degrader for Visualizing Macroautophagic Activity and Targeted Degradation

Jian‐Hui Jiang, Fenglin Wang, Xia Chu, Li‐Juan Tang, Keke Zhang, Ji Cheng, Jing‐Yi Zhang
article en

Abstract

Macroautophagy is central to cellular homeostasis and emerges as a promising avenue for targeted degradation. However, there is still a lack of efficient approaches allowing for visualizing macroautophagic flux and degradation. Here we develop a semi-synthetic LC3-interacting degrader (SLID) that enables fluorogenic imaging of macroautophagic activities and visualization of targeted degradation. SLID is engineered by fusing LC3-interacting regions (LIRs) to a self-labeling tag and an oligomeric motif, with the LIRs for binding to autophagosomes, the oligomeric motif for enhancing the binding, and the self-labeling tag for visualizing autophagosome formation using a pH indicator. SLID is further coupled to an antibody domain through a dimerization-induced proximity system, allowing chemically inducible degradation of target proteins. We show that this SLID platform permits efficient degradation of diverse target proteins such as disease-associated aggregation-prone proteins and phase-separated condensates. SLID also reveals elevated macroautophagic activities in senescent cells, and is repurposed for inducing senescent cell apoptosis via degradation of pro-survival and anti-apoptotic proteins. Our study highlights the great promise of SLID as a versatile tool for studying macroautophagy and targeted protein degradation.

Angewandte Chemie International Edition
Hunan University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 10%
Autophagy in Disease and Therapy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.