Enhancing the Identification of NHS Ester-Mediated Lysine-Cysteine Cross-Linking via Reduced Trypsin Digestion Time
Xin-Feng YangiD, Ao-Cheng Hou, Qian Sun, Peng-Zhi MaoiD, Yujiao Qin, Xiaoming ZhangiD, Guang-Can Shao
Abstract
Abstract Chemical cross-linking mass spectrometry (XL-MS) is a powerful technique for elucidating protein structures and interactions, with NHS ester-based cross-linkers being the most widely used. Traditionally, NHS esters are considered highly specific for primary amines; although their reactivity toward cysteine thiols has been reported, it has not been systematically characterized in XL-MS due to the extreme lability of the resulting thioester bonds. Here, we demonstrate that NHS esters efficiently label cysteine residues and form stable lysine-cysteine (K-C) cross-links--species previously deemed labile in XL-MS. To preserve these thioester-based cross-linked sites , we optimized the standard XL-MS workflow and applied it to four model proteins. K-C cross-links constitute 23% to 59% of total detected cross-links, with C-C distances predominantly ranging from 12 to 40 [A], and 60% satisfying theoretical linker constraints -- confirming that K-C cross-links are as reliable as canonical lysine-lysine (K-K) cross-link sites. Cross-software validation and benchmarking against the heterobifunctional K-C cross-linker GMBS further demonstrated that our optimized workflow captures ~ 40% of GMBS-identified K-C cross-linked sites. Collectively, these findings expand the practical utility of NHS esters and enhance protein structural characterization by enabling simultaneous acquisition of K-K and K-C distance constraints.
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