Nanoparticles Induce Protein Corona Conformational Change to Reshape Intracellular Interactome for Microglial Polarization.

Nanoparticles bind to proteins in cells selectively and form a protein corona around them. However, the mechanisms of protein conformational changes underlying the interactions between nanoparticles and protein coronas remain poorly understood. In this study, we prepared small molecule self-assembled nanoparticles (Aloin NPs) as a research tool to investigate the allosteric mechanism of protein coronas.

A multi-tissue single-cell expression atlas in cattle.

Systematic characterization of the molecular states of cells in livestock tissues is essential for understanding the cellular and genetic mechanisms underlying economically and ecologically important physiological traits. Here, as part of the Farm Animal Genotype-Tissue Expression (FarmGTEx) project, we describe a comprehensive reference map including 1,793,854 cells from 59 bovine tissues in calves and adult cattle, spanning both sexes, which reveals intra-tissue and inter-tissue cellular heterogeneity in gene expression, transcription factor regulation and intercellular communication. Integrative analysis with genetic variants that underpin bovine monogenic and complex traits uncovers cell types of relevance, such as spermatocytes, responsible for sperm motility and excitatory neurons for milk fat yield.

Prediction of favorable outcomes of acute basilar artery occlusion using machine learning.

Background: This study aims to develop an interpretable machine learning model using SHapley Additive exPlanations (SHAP) to predict favorable outcomes based on clinical, imaging, and angiographic data.

Methods: This study analyzed data from 184 patients with acute basilar artery occlusion (BAO) who underwent endovascular treatment (EVT) and completed a 90-day follow-up at Shanxi Provincial People's Hospital. A total of 68 medical variables were collected to develop predictive models using three machine learning algorithms: logistic regression (LR), support vector machine (SVM), and Light Gradient Boosting Machine (LightGBM).

Temporal Patterns and Risk Factors for Pulmonary Embolism Associated with Anti-Tumor Therapies in Patients with Lung Cancer.

Objective: This study aimed to characterize the association between pulmonary embolism (PE) onset and various anti-tumor therapeutic approaches in patients with lung cancer, with the goal of identifying potential high-risk populations.

Methods: A retrospective analysis was conducted on clinical records from 2019 to 2025, among the 84,000 inpatients with lung cancer, 106 patients developed PE during hospitalization for anti-tumor treatment, who were confirmed using spiral computed tomography (CT) or pulmonary angiography per CTS (2018) and NEJM (2010) criteria. Data were collected on patient demographics, cancer staging, treatment type, and time to PE onset.

Chromatin-associated circRNA ciCRLF3(2) regulates cell differentiation blockage via activating non-homologous end joining-based DNA repair.

DNA damage response (DDR) is a complicated network that responds to DNA lesions to prevent their accumulation; a defective DDR is one hallmark of cancer. Although targeting DDR pathways has been considered as a therapeutic approach, DDR inhibitors have also been reported ineffective for treating some low mutation burden cancers, such as Mixed-lineage leukemia (MLL)-rearranged (MLL-r) leukemia, a clinically fatal and refractory malignancy. Exploring the roles and mechanisms of DDR pathways in these low mutation burden cancers may help understand the chromatin biology and develop therapeutic strategies.