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Streamlined characterization of protein complexes remains a challenge for the study of protein interaction networks. Here we describe serial capture affinity purification (SCAP), in which two separate proteins are tagged with either the HaloTag or the SNAP-tag, permitting a multistep affinity enrichment of specific protein complexes. The multifunctional capabilities of this protein-tagging system also permit in vivo validation of interactions using acceptor photobleaching Förster resonance energy transfer and fluorescence cross-correlation spectroscopy quantitative imaging. By coupling SCAP to cross-linking mass spectrometry, an integrative structural model of the complex of interest can be generated. We demonstrate this approach using the Spindlin1 and SPINDOC protein complex, culminating in a structural model with two SPINDOC molecules docked on one SPIN1 molecule. In this model, SPINDOC interacts with the SPIN1 interface previously shown to bind a lysine and arginine methylated sequence of histone H3. Our approach combines serial affinity purification, live cell imaging, and cross-linking mass spectrometry to build integrative structural models of protein complexes.
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http://dx.doi.org/10.1073/pnas.2007931117 | DOI Listing |
Phys Chem Chem Phys
September 2025
School of Electrical and Automation Engineering, Suzhou University of Technology, Suzhou, 215506, China.
A flexible bipolarization conversion metasurface based on graphene is proposed in this paper, which can achieve single-band linear-to-linear (LTL) and dual-band linear-to-circular (LTC) polarization conversion. The polarization conversion ratio (PCR) and axial ratio (AR) are dynamically regulated by varying the sheet resistance () of graphene. When = 1400 Ω Sq, the designed metasurface achieves a single-band LTL polarization conversion of 7.
View Article and Find Full Text PDFAnal Chem
September 2025
Institute of Biological Chemistry, Faculty of Chemistry, University of Vienna, Währinger Str. 38, 1090 Vienna, Austria.
The discovery of solute precursors of crystalline materials, such as biominerals, recently challenged the classical nucleation theory (CNT). One emerging method for investigating these early-stage intermediates in solution is dissolution dynamic nuclear polarization (dDNP)-enhanced nuclear magnetic resonance (NMR) spectroscopy. Recent applications of dDNP to calcium carbonate (CaC) and calcium phosphate (CaP) mineralization have demonstrated the feasibility of identifying and tracing very early-stage prenucleation clusters (PNCs).
View Article and Find Full Text PDFThis study examines Mexico's fertility transition (1930-2015) and how socioeconomic status (SES), geography, and indigeneity shaped reproductive behaviors. Using net fertility-the number of surviving children under five-we assess how prestige bias (adopting high-status fertility norms) and conformism bias (aligning with local norms) influenced change across distinct population groups. We introduce the time, space, and population model to analyze the combined effects of macrostructural forces, spatial diffusion, and individual decision-making.
View Article and Find Full Text PDFJ Chem Theory Comput
September 2025
Dipartimento di Chimica, Università di Pavia, Via Taramelli 12, Pavia 27100, Italy.
Machine learning (ML) and deep learning (DL) methodologies have significantly advanced drug discovery and design in several aspects. Additionally, the integration of structure-based data has proven to successfully support and improve the models' predictions. Indeed, we previously demonstrated that combining molecular dynamics (MD)-derived descriptors with ML models allows to effectively classify kinase ligands as allosteric or orthosteric.
View Article and Find Full Text PDFJ Am Chem Soc
September 2025
Shenzhen Key Laboratory of Micro/Nano-Porous Functional Materials (SKLPM), SUSTech-Kyoto University Advanced Energy Materials Joint Innovation Laboratory (SKAEM-JIL), Guangdong-Hongkong-Macao Joint Laboratory for Photonic-Thermal-Electrical Energy Materials and Devices and Department of Chemistry, S
Postsynthetic modification (PSM) is a powerful strategy for tailoring the structure and functionality of covalent organic frameworks (COFs). In this work, we present a novel enzymatic PSM strategy for functional group engineering within COFs. By taking advantage of enzymatic catalysis, 2-hydroxyethylthio (-S-EtOH) and ethylthio (-S-Et) groups were covalently implanted within the COF pore channels with high grafting efficiency under ambient aqueous conditions, highlighting the mild, efficient, and ecofriendly nature of this approach.
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