Back

Protein Age Bias in Target Degradation by PROTACs

Li, B. X.; Xiao, X.

2026-05-05 pharmacology and toxicology
10.64898/2026.05.01.722262 bioRxiv
Show abstract

Targeted protein degradation (TPD) by PROteolysis TArgeting Chimeras (PROTACs) has emerged as a powerful chemical biology and therapeutic modality, yet many degraders exhibit incomplete target clearance and characteristic rebound kinetics despite continuous exposure. The mechanistic basis for this behavior remains poorly understood. Here we uncover protein age as a previously unrecognized determinant of PROTAC efficacy. Using CG{square}SLENP, a chemical genetics strategy that selectively labels newly synthesized and pre {square}existing proteins within the same living cell, we directly resolve PROTAC{square}induced degradation of distinct intracellular protein populations. Applying this approach to the bromodomain protein BRD4, we show that two mechanistically and structurally distinct PROTACs, dBET6 and MZ{square}1, preferentially degrade pre {square}existing BRD4, while newly synthesized BRD4 is degraded substantially more slowly and incompletely. This age{square}dependent degradation bias is observed in live{square}cell imaging, across compound concentrations and time scales, and for both reporter and endogenous BRD4. These findings reveal that PROTAC{square}mediated degradation is governed not only by target engagement and ternary complex formation, but also by the dynamic balance between protein synthesis and degradation. By identifying temporal proteostasis as a critical parameter in TPD, this work provides a mechanistic framework for incomplete degradation and rebound kinetics and establishes protein maturation state as an important consideration for degrader design and evaluation.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Nature
575 papers in training set
Top 3%
11.9%
2
Nature Chemical Biology
104 papers in training set
Top 0.1%
9.7%
3
Nature Communications
4913 papers in training set
Top 24%
8.1%
4
Science
429 papers in training set
Top 4%
6.9%
5
ACS Central Science
66 papers in training set
Top 0.2%
6.1%
6
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 13%
6.1%
7
Journal of the American Chemical Society
199 papers in training set
Top 1%
4.7%
50% of probability mass above
8
Angewandte Chemie International Edition
81 papers in training set
Top 0.8%
4.1%
9
Nature Chemistry
34 papers in training set
Top 0.1%
4.1%
10
Science Advances
1098 papers in training set
Top 7%
3.5%
11
Cell Chemical Biology
81 papers in training set
Top 0.9%
3.0%
12
Nucleic Acids Research
1128 papers in training set
Top 7%
3.0%
13
Cell Metabolism
49 papers in training set
Top 0.6%
3.0%
14
ACS Nano
99 papers in training set
Top 2%
2.5%
15
Light: Science & Applications
16 papers in training set
Top 0.3%
1.8%
16
Molecular Cell
308 papers in training set
Top 7%
1.6%
17
Science Translational Medicine
111 papers in training set
Top 3%
1.6%
18
Advanced Science
249 papers in training set
Top 13%
1.4%
19
eLife
5422 papers in training set
Top 46%
1.4%
20
Nature Biotechnology
147 papers in training set
Top 6%
1.3%
21
Neuron
282 papers in training set
Top 7%
1.1%
22
Chemical Science
71 papers in training set
Top 2%
0.8%
23
Developmental Cell
168 papers in training set
Top 12%
0.8%
24
Cell Systems
167 papers in training set
Top 14%
0.7%
25
Cell
370 papers in training set
Top 19%
0.6%
26
Nature Machine Intelligence
61 papers in training set
Top 4%
0.6%