ArticleNature communications2026
Supercharging-enhanced nDIA-MS enables global profiling of drug-induced proteome solubility shifts.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
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 1 µg HeLa digest in 15 min. 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.