Increasing charge state of protein complexes from native solutions while preserving noncovalent interactions in native mass spectrometry (MS) offers great opportunity to gain deeper insights into gas-phase protein structures. Several previous studies have disclosed the possibility of high pressure in supercharging small proteins, whereas its capability to supercharge large protein assemblies under native conditions and how it might affect protein structures remain open questions. Herein, we demonstrated that the high-pressure-induced supercharging strategy affords unique advantages of supercharging protein complexes with the highest charge state surpassing the Rayleigh limit () and concurrently preserving native-like topology. By examining 32 proteins and protein complexes with molecular weights (MWs) ranging from 8.58 to 801 kDa, we demonstrated that the increased average charge states of macromolecular ions have a strong dependence on the surface areas of native protein conformations and MWs. Factors that might contribute to the high-pressure-induced supercharging capability toward macromolecular ions were discussed. Furthermore, using collision cross section (CCS) variation as a function of charge state, we investigate the effects of gas pressure and charge states on gas-phase structures of proteins and protein complexes. Smaller proteins have the largest CCS variations once supercharged, while macromolecular protein complexes are less affected. The results revealed that both surface density of charge and charged surface basic residues contribute to the observed CCS-charge disciplines for all the macromolecules investigated. Taken together, the results presented here indicate that increasing gas pressure in the ion source affords a rapid, simple, and controlled supercharging method, offering the potency of facilitating further applications of native top-down MS analysis with improved transmission, fragmentation, and detection efficiency.
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http://dx.doi.org/10.1021/acs.analchem.0c01965 | DOI Listing |
BioData Min
January 2025
The Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, 90069, USA.
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January 2025
Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Background: Undernutrition remains a global crisis and is a focus of Sustainable Development Goals. While there are multiple known, effective interventions, complex interactions between prevention and treatment and resource constraints can lead to difficulties in allocating funding. Simulation studies that use in silico simulation can help illuminate the interactions between interventions and provide insight into the cost-effectiveness of alternative packages of options.
View Article and Find Full Text PDFMicrob Cell Fact
January 2025
Lab of Environmental and Life Sciences, University of Nova Gorica, Vipavska cesta 13, Nova Gorica, 5000, Slovenia.
Background: E. coli still remains the most commonly used organism to produce recombinant proteins in research labs. This condition is mirrored by the attention that researchers dedicate to understanding the biology behind protein expression, which is then exploited to improve the effectiveness of the technology.
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January 2025
Key Laboratory of Entomology and Pest Control Engineering, College of Plant Protection, Southwest University, Chongqing, 400715, China.
Background: Booklice, belonging to the genus Liposcelis (Psocodea: Liposcelididae), commonly known as psocids, infest a wide range of stored products and are implicated in the transmission of harmful microorganisms such as fungi and bacteria. The olfactory system is critical for insect feeding and reproduction. Elucidating the molecular mechanisms of the olfactory system in booklice is crucial for developing effective control strategies.
View Article and Find Full Text PDFBMC Genomics
January 2025
State Key Laboratory of Hybrid Rice, Laboratory of Plant Systematics and Evolutionary Biology, College of Life Sciences, Wuhan University, Wuhan, 430072, China.
The family Daphniphyllaceae has a single genus, and no relevant comparative phylogenetic study has been reported on it. To explore the phylogenetic relationships and organelle evolution mechanisms of Daphniphyllaceae species, we sequenced and assembled the chloroplast and mitochondrial genomes of Daphniphyllum macropodum. We also conducted comparative analyses of organelles in Daphniphyllaceae species in terms of genome structure, phylogenetic relationships, divergence times, RNA editing events, and evolutionary rates, etc.
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