Histone lysine demethylase 4 A (KDM4A), a non-heme Fe(II)/2-oxoglutarate (2OG) dependent oxygenase that catalyzes the demethylation of tri-methylated lysine residues at the 9, 27, and 36 positions of histone H3 (H3 K9me3, H3 K27me3, and H3 K36me3). These methylated residues show contrasting transcriptional roles; therefore, understanding KDM4A's catalytic mechanisms with these substrates is essential to explain the factors that control the different sequence-dependent demethylations. In this study, we use molecular dynamics (MD)-based combined quantum mechanics/molecular mechanics (QM/MM) methods to investigate determinants of KDM4A catalysis with H3 K9me3, H3 K27me3 and H3 K36me3 substrates. In KDM4A-H3K9me3 and KDM4A-H3K27me3 ferryl complexes, the O-H distance positively correlates with the activation barrier of the rate-limiting step, however in the KDM4A-H3K36me3, no direct one-to-one relationship was found implying that the synergistic effects between the geometric parameters, second sphere interactions and the intrinsic electric field contribute for the effective catalysis for this substrate. The intrinsic electric field along the Fe-O bond changes between the three complexes and shows a positive correlation with the HAT activation barrier, suggesting that modulating electric field can be used for fine engineering KDM catalysis with a specific substrate. The results reveal how KDM4A uses a combination of strategies to enable near equally efficient demethylation of different H3Kme3 residues.
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http://dx.doi.org/10.1002/chem.202403989 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
State Key Laboratory of Superhard Materials, College of Physics, Jilin University, Changchun 130012, China.
The abrupt drop of resistance to zero at a critical temperature is a key signature of the current paradigm of the metal-superconductor transition. However, the emergence of an intermediate bosonic insulating state characterized by a resistance peak preceding the onset of the superconducting transition has challenged this traditional understanding. Notably, this phenomenon has been predominantly observed in disordered or chemically doped low-dimensional systems, raising intriguing questions about the generality of the effect and its underlying fundamental physics.
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January 2025
Department of Physics, JC STEM Lab of Energy and Materials Physics, City University of Hong Kong, Hong Kong 999077, P. R. China.
Solid polymer electrolytes (SPEs) are promising candidates for lithium metal batteries (LMBs) owing to their safety features and compatibility with lithium metal anodes. However, the inferior ionic conductivity and electrochemical stability of SPEs hinder their application in high-voltage solid-state LMBs (HVSSLMBs). Here, a strategy is proposed to develop a dual-anion-rich solvation structure by implementing ferroelectric barium titanate (BTO) nanoparticles (NPs) and dual lithium salts into poly(vinylidene fluoride) (PVDF)-based SPEs for HVSSLMBs.
View Article and Find Full Text PDFOtol Neurotol
February 2025
Department of Otolaryngology-Head and Neck Surgery, Mayo Clinic, Rochester, Minnesota.
Objective: To analyze the use of electrical field imaging (EFI) in the detection of extracochlear electrodes in cochlear implants (CI).
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Setting: Tertiary academic medical center.
Adv Sci (Weinh)
January 2025
School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Heterojunctions, known for their decent separation of photo-generated electrons and holes, are promising for photocatalytic CO reduction. However, a significant obstacle in traditional post-assembled heterojunctions is the high interfacial barrier for charge transfer caused by atomic lattice mismatch at multiphase interfaces. Here, as research prototypes, the study creates a lattice-matched co-atomic interface within CsPbBr-CsPbBr polytypic nanocrystals (113-125 PNs) through the proposed in situ hybrid strategy to elucidate the underlying charge transfer mechanism within this unique interface.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Department of Chemistry, Center for BioAnalytical Chemistry, Key Laboratory of Bioorganic Phosphorus Chemistry and Chemical Biology, Tsinghua University, Beijing, 100084, China.
Single nanoparticle analysis is crucial for various applications in biology, materials, and energy. However, precisely profiling and monitoring weakly scattering nanoparticles remains challenging. Here, it is demonstrated that deep learning-empowered plasmonic microscopy (Deep-SM) enables precise sizing and collision detection of functional chemical and biological nanoparticles.
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