Increased local DNA methylation disorder in AMLs with DNMT3A-destabilizing variants and its clinical implication.

The mechanistic link between the complex mutational landscape of de novo methyltransferase DNMT3A and the pathology of acute myeloid leukemia (AML) has not been clearly elucidated so far. Motivated by a recent discovery of the significance of DNMT3A-destabilizing mutations (DNMT3A) in AML, we here investigate the common characteristics of DNMT3A AML methylomes through computational analyses. We present that methylomes of DNMT3A AMLs are considerably different from those of DNMT3A AMLs in that they exhibit increased intratumor DNA methylation heterogeneity in bivalent chromatin domains.

Essential resources and best practices for laboratory mouse research.

The laboratory mouse (Mus musculus) is the most widely used mammalian model organism in biomedical and life science research. This concise guide aims to provide essential information to assist researchers new to working with mice, covering topics such as mouse husbandry, maintenance, and available resources for obtaining mouse strains and associated data. Additionally, we discuss ethical considerations, emphasizing the 3Rs (replacement, reduction, and refinement) to ensure responsible and humane research practices.

Elasticity of Swollen and Folded Polyacrylamide Hydrogel Using the MARTINI Coarse-Grained Model.

One of the key advantages of using a hydrogel is its superb control over elasticity obtained through variations of constituent polymer and water. The underlying molecular nature of a hydrogel is a fundamental origin of hydrogel mechanics. In this article, we report a Polyacrylamide (PAAm)-based hydrogel model using the MARTINI coarse-grained (CG) force field.

Highly accurate Korean draft genomes reveal structural variation highlighting human telomere evolution.

Given the presence of highly repetitive genomic regions such as subtelomeric regions, understanding human genomic evolution remains challenging. Recently, long-read sequencing technology has facilitated the identification of complex genetic variants, including structural variants (SVs), at the single-nucleotide level. Here, we resolved SVs and their underlying DNA damage-repair mechanisms in subtelomeric regions, which are among the most uncharted genomic regions.

Human γδ T cells in the tumor microenvironment: Key insights for advancing cancer immunotherapy.

The role of γδ T cells in antitumor responses has gained significant attention due to their unique major histocompatibility complex (MHC)-independent killing mechanisms, which distinguish them from conventional αβ T cells. Notably, γδ tumor-infiltrating lymphocytes (TILs) have been identified as favorable prognostic markers in various cancers. However, γδ TIL subsets, including Vδ1, Vδ2, and Vδ3, exhibit distinct prognostic implications and phenotypes from one another within the tumor microenvironment (TME).

Full-Spectrum Mechanochromic Photonic Films with Large Interparticle Distance.

Non-close-packed crystalline arrays of colloidal particles in an elastic matrix exhibit mechanochromism. However, small interparticle distances often limit the range of reversible color shifts and reduce reflectivity during a blueshift. A straightforward, reproducible strategy using matrix swelling to increase interparticle distance and improve mechanochromic performance is presented.

Single-molecule analysis reveals that IPMK enhances the DNA-binding activity of the transcription factor SRF.

Serum response factor (SRF) is a master transcription factor that regulates immediate early genes and cytoskeletal remodeling genes. Despite its importance, the mechanisms through which SRF stably associates with its cognate promoter remain unknown. Our biochemical and protein-induced fluorescence enhancement analyses showed that the binding of SRF to serum response element was significantly increased by inositol polyphosphate multikinase (IPMK), an SRF cofactor.

Energy-Efficient Dynamic Enhanced Inter-Cell Interference Coordination Scheme Based on Deep Reinforcement Learning in H-CRAN.

The proliferation of 5G networks has revolutionized wireless communication by delivering enhanced speeds, ultra-low latency, and widespread connectivity. However, in heterogeneous cloud radio access networks (H-CRAN), efficiently managing inter-cell interference while ensuring energy conservation remains a critical challenge. This paper presents a novel energy-efficient, dynamic enhanced inter-cell interference coordination (eICIC) scheme based on deep reinforcement learning (DRL).

P2 Receptor Antagonists Rescue Defective Heme Content in an In Vitro SLC25A38-Associated Congenital Sideroblastic Anemia Cell Model.

Mutations in the SLC25A38 gene are responsible for the second most common form of congenital sideroblastic anemia (CSA), a severe condition for which no effective treatment exists. We developed and characterized a K562 erythroleukemia cell line with markedly reduced expression of the SLC25A38 protein (A38-low cells). This model successfully recapitulated the main features of CSA, including reduced heme content and mitochondrial respiration, increase in mitochondrial iron, ROS levels and sensitivity to oxidative stress.

Low-Intensity Continuous Ultrasound Enhances the Therapeutic Efficacy of Curcumin-Encapsulated Exosomes Derived from Hypoxic Liver Cancer Cells via Homotropic Drug Delivery Systems.

Exosomes are extracellular nanovesicles secreted by cells that efficiently deliver therapeutic cargo for cancer treatment. However, because exosomes are present in low quantities and have limited target specificity, internal and external stress stimulation has been studied to increase exosome efficiency. Inspired by these studies, the uptake efficiency of cobalt chloride-induced hypoxic cancer cell-secreted exosomes was evaluated.

NIR Light-Triggered Structural Modulation of Self-Assembled Prion Protein Aggregates.

The self-replication of misfolded prion protein (PrP) aggregates is the major pathological event of different prion diseases, affecting mammal brains by cross-species transmission. Here, the structural modulation of PrP aggregates are reported by activated carbon materials upon near-infrared (NIR) light irradiation. Activated carbon cobalt (ACC) nanosheets are synthesized using glycerol and metal salts to utilize the charge carriers released under NIR light exposure.

The degradation mechanism of multi-resonance thermally activated delayed fluorescence materials.

1,4-Azaborine-based arenes are promising electroluminescent emitters with thermally activated delayed fluorescence (TADF), offering narrow emission spectra and high quantum yields due to a multi-resonance (MR) effect. However, their practical application is constrained by their limited operational stability. This study investigates the degradation mechanism of MR-TADF molecules.

CO-Driven Oxygen Vacancy Diffusion and Healing on TiO(110) at Ambient Pressure.

Understanding how TiO interacts with CO at the molecular level is crucial in the CO reduction toward value-added energy sources. Here, we report in situ observations of the CO activation process on the reduced TiO(110) surface at room temperature using ambient pressure scanning tunneling microscopy. We find that oxygen vacancies (V) diffuse dynamically along the bridging oxygen (O) rows of the TiO(110) surface under ambient CO(g) environments.

Metabolic engineering of Priestia megaterium for 2'-fucosyllactose production.

Background: 2'-Fucosyllactose (2'-FL) is a predominant human milk oligosaccharide that significantly enhances infant nutrition and immune health. This study addresses the need for a safe and economical production of 2'-FL by employing Generally Recognized As Safe (GRAS) microbial strain, Priestia megaterium ATCC 14581. This strain was chosen for its robust growth and established safety profile and attributing suitable for industrial-scale production.

Reductive sulfinylation by nucleophilic chain isomerization of sulfonylpyridinium.

Sulfur-containing units are fundamental components widely found in bioactive compounds, prompting notable efforts toward developing synthetic methodologies for incorporating sulfur functionality into organic precursors. The synthesis of sulfinate esters and sulfinamides has garnered significant interest owing to their immense potential for applications, especially in drug development. However, most existing synthetic protocols suffer from some limitations.

Rewritable wavelength-selective hydrogel actuators grafted with fluorophores.

Recent efforts have focused on developing stimuli-responsive soft actuators that mimic the adaptive, complex, and reversible movements found in natural species. However, most hydrogel actuators are limited by their inability to combine wavelength-selectivity with reprogrammable shape changes, thereby reducing their degree of freedom in motion. To address this challenge, we present a novel strategy that integrates these capabilities by grafting fluorophores onto temperature-responsive hydrogels.

Observation of 1/3 fractional quantum Hall physics in balanced large angle twisted bilayer graphene.

Magnetotransport of conventional semiconductor based double layer systems with barrier suppressed interlayer tunneling has been a rewarding subject due to the emergence of an interlayer coherent state that behaves as an excitonic superfluid. Large angle twisted bilayer graphene offers unprecedented strong interlayer Coulomb interaction, since both layer thickness and layer spacing are of atomic scale and a barrier is no more needed as the twist induced momentum mismatch suppresses tunneling. The extra valley degree of freedom also adds richness.

Multi-modal conditional diffusion model using signed distance functions for metal-organic frameworks generation.

The design of porous materials with user-desired properties has been a great interest for the last few decades. However, the flexibility of target properties has been highly limited, and targeting multiple properties of diverse modalities simultaneously has been scarcely explored. Furthermore, although deep generative models have opened a new paradigm in materials generation, their incorporation into porous materials such as metal-organic frameworks (MOFs) has not been satisfactory due to their structural complexity.

Engineering CAR-T Therapeutics for Enhanced Solid Tumor Targeting.

Cancer immunotherapy, specifically Chimeric Antigen Receptor (CAR)-T cell therapy, represents a significant breakthrough in treating cancers. Despite its success in hematological cancers, CAR-T exhibits limited efficacy in solid tumors, which account for more than 90% of all cancers. Solid tumors commonly present unique challenges, including antigen heterogeneity and complex tumor microenvironment (TME).

Nanoparticle superlattice with a C14 Frank-Kasper structure formed by highly monodisperse one-size gold nanoparticles in suspension.

Synthesizing nanoparticle superlattices (NPSLs) with different symmetries is of great interest due to their impact on the collective emergent properties and potential applications. While several parameters have been identified as determinants for forming different symmetries of NPSLs, the high core dispersity, softness, and ligand interpenetration were proposed to drive the formation of the C14 Frank-Kasper (C14) structure like MgZn-type. Here, we report that the C14 phase can be formed in highly monodisperse one-size spherical nanoparticles (NPs) by controlling the interplay among their softness and ligand grafting density.

SARS-CoV-2 vaccine-elicited immune responses in solid organ transplant recipients.

Solid organ transplant recipients (SOTRs) are considered a high-risk group for coronavirus disease 2019 (COVID-19). The adaptive immune responses generated by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination include humoral and cellular immune responses. Most studies on the SARS-CoV-2 vaccine have focused primarily on humoral immunity, but cellular immunity is vital for effectively controlling progression to severe COVID-19.

Biologically inspired microlens array camera for high-speed and high-sensitivity imaging.

Nocturnal and crepuscular fast-eyed insects often exploit multiple optical channels and temporal summation for fast and low-light imaging. Here, we report high-speed and high-sensitive microlens array camera (HS-MAC), inspired by multiple optical channels and temporal summation for insect vision. HS-MAC features cross-talk-free offset microlens arrays on a single rolling shutter CMOS image sensor and performs high-speed and high-sensitivity imaging by using channel fragmentation, temporal summation, and compressive frame reconstruction.

Highly Reliable BiOSe Dendritic Neuron Enabling Spatial-Temporal Signal Processing for Real-World Image Classification.

Artificial intelligence (AI) has made significant strides by imitating biological neurons and synapses through simplified models, yet incomplete neuron functionalities can limit performance and energy efficiency in handling complex tasks. Biological neurons process input signals nonlinearly, utilizing dendrites to process spatial-temporal information. This study demonstrates the compact artificial dendrite device employing memristors based on bismuth oxyselenide (BiOSe).

Aggregation pathway complexity in a simple perylene diimide.

This study characterizes the influence of self-assembly conditions on the aggregation pathway and resulting photophysical properties of one-dimensional aggregates of the simple imide-substituted perylene diimide, N, N'-didodecyl-3,4,9,10-perylenedicarboximide (ddPDI). We show that ddPDI, which has symmetric alkyl chains at the imide positions, assembles into fibers with distinct morphology, emission spectra, and temperature-dependent behavior as a function of preparation conditions. In all conditions explored, aggregates are one-dimensional; however, assembly conditions can bias formation to either J-like or H-like aggregates.

Augmented prediction of vertebral collapse after osteoporotic vertebral compression fractures through parameter-efficient fine-tuning of biomedical foundation models.

Vertebral collapse (VC) following osteoporotic vertebral compression fracture (OVCF) often requires aggressive treatment, necessitating an accurate prediction for early intervention. This study aimed to develop a predictive model leveraging deep neural networks to predict VC progression after OVCF using magnetic resonance imaging (MRI) and clinical data. Among 245 enrolled patients with acute OVCF, data from 200 patients were used for the development dataset, and data from 45 patients were used for the test dataset.