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Mol. Cells 2010; 30(6): 581-585

Published online December 31, 2010

https://doi.org/10.1007/s10059-010-0145-5

© The Korean Society for Molecular and Cellular Biology

Backbone 1H, 15N, and 13C Resonance Assignments and Secondary Structure of the Tollip CUE Domain

Hugo F. Azurmendi1, Sharmistha Mitra2, Iriscilla Ayala2, Liwu Li3, Carla V. Finkielstein4, and Daniel G.S. Capelluto2,*

Abstract

The Toll-interacting protein (Tollip) is a negative regula-tor of the Toll-like receptor (TLR)-mediated inflammation response. Tollip is a modular protein that contains an N-terminal Tom1-binding domain (TBD), a central conserved domain 2 (C2), and a C-terminal coupling of ubiquitin to endoplasmic reticulum degradation (CUE) domain. Here, we report the sequence-specific backbone 1H, 15N, and 13C assignments of the human Tollip CUE domain. The CUE domain was found to be a stable dimer as determined by size-exclusion chromatography and molecular cross-linking studies. Analysis of the backbone chemical shift data indicated that the CUE domain exhibits three helical elements corresponding to 52% of the protein backbone. Circular dichroism spectrum analysis confirmed the helical nature of this domain. Comparison of the location of these helical regions with those reported for yeast CUE domains suggest differences in length for all helical elements. We expect the structural analysis presented here will be the foundation for future studies on the biological significance of the Tollip CUE domain, its molecular inte-ractions, and the mechanisms that modulate its function during the inflammatory response.

Keywords CUE domain, innate immunity, NMR spectroscopy, resonance assignments, Tollip, Toll-like receptor

Article

Communication

Mol. Cells 2010; 30(6): 581-585

Published online December 31, 2010 https://doi.org/10.1007/s10059-010-0145-5

Copyright © The Korean Society for Molecular and Cellular Biology.

Backbone 1H, 15N, and 13C Resonance Assignments and Secondary Structure of the Tollip CUE Domain

Hugo F. Azurmendi1, Sharmistha Mitra2, Iriscilla Ayala2, Liwu Li3, Carla V. Finkielstein4, and Daniel G.S. Capelluto2,*

Abstract

The Toll-interacting protein (Tollip) is a negative regula-tor of the Toll-like receptor (TLR)-mediated inflammation response. Tollip is a modular protein that contains an N-terminal Tom1-binding domain (TBD), a central conserved domain 2 (C2), and a C-terminal coupling of ubiquitin to endoplasmic reticulum degradation (CUE) domain. Here, we report the sequence-specific backbone 1H, 15N, and 13C assignments of the human Tollip CUE domain. The CUE domain was found to be a stable dimer as determined by size-exclusion chromatography and molecular cross-linking studies. Analysis of the backbone chemical shift data indicated that the CUE domain exhibits three helical elements corresponding to 52% of the protein backbone. Circular dichroism spectrum analysis confirmed the helical nature of this domain. Comparison of the location of these helical regions with those reported for yeast CUE domains suggest differences in length for all helical elements. We expect the structural analysis presented here will be the foundation for future studies on the biological significance of the Tollip CUE domain, its molecular inte-ractions, and the mechanisms that modulate its function during the inflammatory response.

Keywords: CUE domain, innate immunity, NMR spectroscopy, resonance assignments, Tollip, Toll-like receptor

Mol. Cells
Feb 28, 2023 Vol.46 No.2, pp. 69~129
COVER PICTURE
The bulk tissue is a heterogeneous mixture of various cell types, which is depicted as a skein of intertwined threads with diverse colors each of which represents a unique cell type. Single-cell omics analysis untangles efficiently the skein according to the color by providing information of molecules at individual cells and interpretation of such information based on different cell types. The molecules that can be profiled at the individual cell by single-cell omics analysis includes DNA (bottom middle), RNA (bottom right), and protein (bottom left). This special issue reviews single-cell technologies and computational methods that have been developed for the single-cell omics analysis and how they have been applied to improve our understanding of the underlying mechanisms of biological and pathological phenomena at the single-cell level.

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