Decoding how the human proteasome recognizes branched ubiquitin chains

Researchers at National Taiwan University have uncovered, for the first time at atomic resolution, how the human proteasome recognizes branched ubiquitin chains. This breakthrough reveals a multivalent decoding mechanism that enhances protein degradation accuracy and speed.

Cryo-EM structure of a K11/K48-branched ubiquitin chain bound to the 19S regulatory particle of the 26S human proteasome. (Left) The proximal ubiquitin (first ubiquitin attached to the substrate), K48-linked ubiquitin and K11-linked ubiquitin are colored green, orange, and magenta, respectively. The proteasomal subunits involved in ubiquitin binding are indicated. (Right) Expanded view of the K11/K48-branched tetra ubiquitin chain with the resolved cryo-EM map superimposed with the atomic model.

Protein quality control is central to maintaining cellular homeostasis. Within this system, the ubiquitin–proteasome pathway (UPS) serves as the major mechanism for tagging and degrading unwanted or damaged proteins. For decades, the prevailing view has been that homotypic K48-linked polyubiquitin chains represent the canonical degradation signal recognized by the proteasome. Yet, despite their textbook status, how these ubiquitin tags are read with molecular precision by the proteasome has remained surprisingly elusive. 

Emerging evidence has indicated that branched ubiquitin chains, such as those containing mixed K11/K48 linkages, are pivotal in proteostasis, cell cycle progression and stress responses. However, the structural and topological complexity of branched chains — combined with a lack of analytical tools that can simultaneously resolve linkage type, chain length, and three-dimensional conformation — has left a major gap in understanding how these signals are decoded at the molecular level. 

A research team led by Dr. Shang-Te Danny Hsu, Research Fellow at the Institute of Biological Chemistry, Academia Sinica, and Adjunct Professor at the Institute of Biochemical Sciences, National Taiwan University, has now overcome this challenge.

By integrating cryo-electron microscopy (cryo-EM), ubiquitin absolute quantification mass spectrometry (Ub-AQUA), and cross-linking mass spectrometry (XL-MS), the team has successfully determined a high-resolution structure of the human proteasome bound to a branched K11/K48-linked ubiquitin chain. This work precisely defines the branching point and overall topology of the ubiquitin chain, marking the first atomic-level visualization of how the proteasome engages branched ubiquitin architectures. 

Published in Nature Communications, the study reveals that RPN2, a subunit of the proteasomal 19S regulatory particle, contains a previously unrecognized K11-specific binding site. Together with other proteasomal subunits including RPN10, RPN8, and RPT4/5, a multivalent recognition groove tailored for K11-linked Ub chains is formed, potentially leading to higher affinity and specificity, thereby enhancing substrate recognition and accelerating degradation. Such a mechanism may equip cells with the ability to rapidly eliminate key regulatory proteins when needed. 

“The quantitative power of Ub-AQUA was essential to this discovery. By accurately measuring the abundance of different ubiquitin linkage types, the researchers validated both the chemical composition and the three-dimensional architecture of the assembled branched chains — eliminating ambiguities that commonly arise when relying solely on conventional mass spectrometry or biochemical assays,” says Prof. Shang-Te Danny Hsu, corresponding author of the study. 

“This integrated “structure + topology + absolute quantification” strategy was key to resolving a question that has challenged the field for years.” 

The project was led by Dr. Shang-Te Danny Hsu in collaboration with Dr. Kuen-Phon Wu (ubiquitin biochemistry and structural biology) and Dr. Steven Lin (CRISPR/Cas9 gene editing) from the same institute (also jointly affiliated to the Institute of Biochemical Sciences, National Taiwan University), Rosa Viner of Thermo Fisher Scientific, with technical supports from the Academia Sinica Cryo-EM Center, and Academia Sinica Proteomics Mass Spectrometry Common Facility.

 

Prof. Shang-Te Danny Hsu's email address: [email protected]

Published: 03 Dec 2025

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This work was supported by Academia Sinica intramural fund to SL and STDH, an Academia Sinica Career Development Award to STDH (AS-CDA-109-L08), an Academia Sinica Career Development Award to KPW (AS-CDA-110-L03), an Academia Sinica Investigator Award to STDH (AS-IV-114-L04), and funding from the National Science and Technology Council (NSTC), Taiwan (110-2311-B-001-013-MY3 and 113-2311-B-001-017-MY3 to STDH; 112-2811-B-001-006, 113-2811-B-001-019 and 114-2811-B-001-041 to TC).