Mass spectrometry (MS) is indispensable for high-throughput quantitation of protein expression. But protein function is regulated by factors beyond abundance alone. Here, we evaluate two supercharging reagents, dimethyl sulfoxide (DMSO) and m-nitrobenzyl alcohol (mNBA), in narrow-window data-independent acquisition (nDIA)-MS. DMSO markedly enhances MS signal and protein identification, whereas mNBA primarily increases peptide identifications. Optimizating nDIA-MS with 3% DMSO boosts signal intensity by up to 56%, enabling identification of ~9,600 proteins from 1âµg HeLa digest in 15âmin. Using this methodology, we quantify solubility and abundance changes in 8,694 proteins across three cell lines following short-term treatment with the proteasome inhibitor MG132 and the SUMO-activating enzyme inhibitor ML-792. MG132 affects the solubility of 1,723 proteins and the abundance of 374, and ML-792 affects 1,294 and 288, respectively. The drugs elicit distinct and sometimes opposing solubility shifts; for instance, MG132 insolubilizes HSF1, ML-792 solubilizes SP100 and insolubilizes PLOR3G, and SMAD2 shows opposite responses to those two treatments. These results reveal widespread, drug-induced remodeling of the protein solubility landscape and establish solubility profiling by nDIA-MS as a broadly applicable platform for uncovering protein state transitions and cellular responses to perturbation.
Supercharging-enhanced nDIA-MS enables global profiling of drug-induced proteome solubility shifts.
超强增强型 nDIA-MS 可实现药物诱导蛋白质组溶解度变化的全局分析。
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| 期刊: | Nature Communications | 影响因子: | 15.700 |
| 时间: | 2026 | 起止号: | 2026 Jan 30; 17(1):2350 |
| doi: | 10.1038/s41467-026-69025-8 | ||
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