Separation of monophosphopeptides from multi-phosphopeptides in complex biological samples is significant in the study of protein kinase signal transduction pathways. To the best of our knowledge, very few materials have been reported that could selectively enrich monophosphopeptides because of the chemical difficulty in retaining the intermediate monophosphopeptides and excluding both non-phosphopeptides and multi-phosphopeptides in acidic conditions, which requires unique interactions to balance the metallic affinity and the hydrophobicity. With the large surface area, abundant accessible active sites, and ultrathin structures, two-dimensional (2-D) metal-organic framework (MOF) Hf-1,3,5-tris(4-carboxyphenyl)benzene (BTB) nanosheets were rationally selected. Due to the elongated organic ligands and the balance between metallic affinity of clusters and hydrophobicity from ligands, the 2-D Hf-BTB nanosheets exhibited unique enrichment selectivity toward monophosphopeptides. The 2-D MOF nanosheets demonstrated excellent sensitivity (detection limit of 0.4 fmol μL) and selectivity [1:1000 molar ratios of β-casein/BSA (bovine serum albumin)] in model phosphopeptides enrichment. The nanosheets were implemented for the analysis of nonfat milk and human saliva samples as well as in situ isotope labeling for dysregulated phosphopeptides from patients' serum with anal canal inflammation, exhibiting 6.6-fold upregulation of serum phosphopeptide HS4 (ADpSGEGDFLAEGGGVR) compared to the control healthy serum. The proteomics analysis of mouse brain cortical samples associated with Alzheimer's disease, which were from (protein kinase B) conditional knockout mouse and littermate control mouse, was further established with 2-D Hf-BTB nanosheets. With high capture efficiency for monophosphopeptides, this method was capable of distinguishing the difference of monophosphopeptides from microtubule-associated protein τ (MAPT/τ) between the knockout sample and control sample.
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http://dx.doi.org/10.1021/acs.analchem.9b01581 | DOI Listing |
Metal-organic frameworks (MOFs) are porous, crystalline materials with high surface area, adjustable porosity, and structural tunability, making them ideal for diverse applications. However, traditional experimental and computational methods have limited scalability and interpretability, hindering effective exploration of MOF structure-property relationships. To address these challenges, we introduce, for the first time, a category-specific topological learning (CSTL), which combines algebraic topology with chemical insights for robust property prediction.
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January 2025
Univ. Lille, CNRS, Centrale Lille, Univ. Artois, UMR 8181 - UCCS - Unité de Catalyse et Chimie du Solide, Lille F-59000, France.
Metal-organic frameworks (MOFs) combined with polymers as hybrid materials offer numerous advantages such as enhanced performances through synergistic effects at their interface. The primary challenge in developing polymer/MOF hybrid matrix films is ensuring optimal dispersion and strong adhesion of crystalline MOFs to the polymer without aggregation, weak interaction, or phase separation. In this study, hierarchically porous UiO-66_NH/chitosan (ZrCSx-) films were designed by crystallizing UiO-66_NH within a chitosan (CS) skeleton.
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January 2025
Department of Semiconductor Engineering, Gyeongsang National University, Jinjudae-ro 501beon-gil, Jinju-si, Gyeongsangnam-do, Republic of Korea.
Organic photodetectors (OPDs) are cheaper and more flexible than conventional photodetectors based on inorganic precursors, but their wider commercial application is limited by their low electron extraction efficiency under reverse bias conditions (when operating under photoconductive mode). Zinc oxide (ZnO) has shown promise as an electron transport layer for OPDs owing to its wide band gap, but its electron extraction efficiency has been limited by issues such as photoinstability and the formation of surface detects. This study investigated the effects of doping ZnO nanoparticles with indium gallium (i.
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January 2025
Advanced Catalytic Materials (ACM), KAUST Catalysis Center (KCC), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.
Photo-thermal catalysis, leveraging both thermal and non-thermal solar contributions, emerges as a sustainable approach for fuel and chemical synthesis. In this study, an Fe-based catalyst derived from a metal-organic framework is presented for efficient photo-thermal ammonia (NH) decomposition. Optimal conditions, under light irradiation without external heating, result in a notable 55% NH conversion.
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January 2025
Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, No. 174 Shazheng Road, Chongqing, 400044, China.
Direct electrochemical detection of miRNA biomarkers in tumor tissue interstitial fluid (TIF) holds great promise for adjuvant therapy for tumors in the perioperative period, yet is limited by background interference and weak signal. Herein, a wash-free and separation-free miRNA biosensor based on photoexcited electro-driven reactive oxygen channeling analysis (LEOCA) is developed to solve the high-fidelity detection in physiological samples. In the presence of miRNA, nanoacceptors (ultrasmall-size polydopamine, uPDA) are responsively assembled on the surface of nanodonors (zirconium metal-organic framework, ZrMOF) to form core-satellite aggregates.
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