Role of Uba7-UFD in E1-E2 ISGylation: NMR-Based Insights into E2 Binding Dynamics
Dag, C.; Kazar, A. E.; Kahraman, K.; Gocenler, O.; Lee, W.; Lambert, M.; Tozkoparan Ceylan, C. D.; Shim, J. G.; Haas, A. L.; Dotsch, V.; Ziarek, J. J.; Elgin, E. S.
Show abstract
The ISGylation pathway, a key post-translational modification, plays a pivotal role in the innate immune response by covalently attaching ISG15 to target proteins. This cascade involves a series of enzymatic steps, including activation by the E1 enzyme Uba7, conjugation by the E2 enzyme UbcH8, and ligation by an E3 ligase. Central to this process is the ubiquitin-fold domain (UFD) of Uba7, which facilitates the transfer of ISG15 to UbcH8. However, the structural and mechanistic details of this interaction remain poorly understood. In this work, we present the solution NMR structure and functional analysis of the ubiquitin-fold domain of human Uba7, the E1 enzyme in the ISGylation cascade. Through detailed NMR titration experiments and mutational studies, we mapped the interaction surface of Uba7-UFD with UbcH8, identifying key residues and their contributions to the E1-E2 interaction. We found that Uba7-UFD is flexible in its free form; this flexibility is conserved across ubiquitin-like systems but shows a regional shift that may play an important role in correct E2 and Ubl selection. Chemical shift perturbation and mutational analysis further demonstrate the importance of specific residues, particularly Cys996, in maintaining UFDs structural integrity and binding capacity. Additionally, mutations designed to alter the flexibility and length of the loop region between UFD and UbcH8 show significant effects on binding, indicating that these regions are crucial for efficient E2 recruitment. These findings provide new insights into the mechanistic basis of E2 enzyme selection in ISGylation and underscore the functional relevance of dynamic structural transitions in E1-E2 complex formation. Statement of SignificanceISGylation is a key ubiquitin-like modification pathway essential for antiviral defense, immune regulation, and protein quality control. However, the molecular principles that govern communication between the E1 and E2 enzymes in this pathway remain poorly defined. Here, we present the first NMR structure of the human Uba7 ubiquitin-fold domain (UFD) and its interaction with UbcH8. Our findings reveal how structural flexibility within the UFD is crucial for specific and efficient E2 recognition, providing fundamental insight into the dynamic mechanism of ISGylation and advancing our understanding of ubiquitin-like enzyme cascades relevant to cellular regulation and disease.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Previously uncharacterized interactions between the folded and intrinsically disordered domains impart asymmetric effects on UBQLN2 phase separation 95%
- The Potent PHL4 Transcription Factor Effector Domain Contains Significant Disorder 95%
- Exploring the sequence and structural determinants of the energy landscape from thermodynamically stable and kinetically trapped subtilisins: ISP1 and SbtE 94%
Similar papers in this journal
Similar papers in this journal
- Structural insights into the cooperative interaction of the intrinsically disordered co-activator TIF2 with retinoic acid receptor heterodimer (RXR/RAR) 95%
- Discriminative SKP2 interactions with CDK-cyclin complexes support a cyclin A-specific role in p27KIP1 degradation 94%
- Intrinsically disordered N-terminal domain (NTD) of p53 interacts with mitochondrial PTP regulator Cyclophilin D 94%
Similar papers in this journal
Similar papers in this journal
- Analysis of the high-order conformational changes in glyceraldehyde-3-phosphate dehydrogenase induced by nicotinamide adenine dinucleotide, adenosine triphosphate, and oxidants 93%
- Identification of an intrinsically disordered region (IDR) in arginyltransferase 1 (ATE1) 93%
- A Disease-Associated Mutation Impedes PPIA Through Allosteric Dynamics Modulation 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.