surrounding a mutant protein is important for elucidating the pathological processes of diseases caused by mutations. Lamin A (LMNA) is a critical nucleoskeletal protein that forms the nuclear lamina underlying the inner nuclear membrane through PPIs among neighboring associated proteins. LMNA is involved in orchestrating various biological processes, including epigenetic regulation, chromatin organization, and signal transduction. [2] More than 400 LMNA mutants identified from patients cause malfunctions of biological processes resulting in laminopathies, including Emery-Dreifuss muscular dystrophy (EDMD), familial partial Dunnigan lipodystrophy type 2 (FPDL2), and Hutchinson-Gilford progeria syndrome (HGPS). [3] In particular, L85R mutants of LMNA (LMNA-L85R) are involved in causing dilated cardiomyopathy (DCM), a heart muscle disease. [4] The identification of the proteins adjacent to the mutants in live cells is crucial to understanding the pathological mechanisms of the mutation. Although proteomic studies using yeast two-hybrid assay, protein microarray, and affinity purification coupled with mass spectrometry have been reported, [5][6][7][8] accurate proteomic analysis is hindered by the drawbacks of these approaches, including the use of non-human cells, irregular
Protein mutations alter protein-protein interactions that can lead to a number of illnesses. Mutations in laminA (LMNA) have been reported to cause laminopathies. However, the proteins associated with the LMNA mutation have mostly remained unexplored. Herein, a new chemical tool for proximal proteomics is reported, developed by a combination of proximity chemical tagging and a bio-orthogonal supramolecular latching based on cucurbit[7]uril (CB[7])based host-guest interactions. As this host-guest interaction acts as a noncovalent clickable motif that can be unclicked on-demand, this new chemical tool is exploited for reliable detection of the proximal proteins of LMNA and its mutant that causes laminopathic dilated cardiomyopathy (DCM). Most importantly, a comparison study reveals, for the first time, mutant-dependent alteration in LMNA proteomic environments, which allows to identify putative laminopathic DCM-linked proteins including FOXJ3 and CELF2. This study demonstrates the feasibility of this chemical tool for reliable proximal proteomics, and its immense potential as a new research platform for discovering biomarkers associated with protein mutation-linked diseases.