Intercellular Contractile Force Attenuates Chemosensitivity Through Notch-MVP-Mediated Nuclear Drug Export

Academic Background Chemotherapy resistance is one of the major challenges in cancer treatment. Traditional research has primarily focused on biochemical mechanisms (e.g., drug efflux pumps, DNA repair, etc.), but in recent years, the role of biomechanical factors in tumor progression and drug resistance has gained increasing attention. Studies hav...

Unconventional Secretion of Park7 Requires Lysosomal Delivery via Chaperone-Mediated Autophagy and Specialized SNARE Complex

1. Research Background The Parkinson’s disease-associated protein PARK7/DJ-1 (hereafter referred to as PARK7) is a multifunctional protein that plays critical roles in various pathological conditions including neurodegenerative diseases, cancer, and inflammation. Despite lacking a conventional N-terminal signal peptide sequence, PARK7 can be secret...

Quantitative Spatial Analysis of Chromatin Biomolecular Condensates Using Cryoelectron Tomography

Academic Background Biomolecular condensates are membrane-less organelles formed through liquid-liquid phase separation (LLPS) within cells, playing critical roles in key biological processes such as gene expression and signal transduction. However, due to limitations in traditional imaging techniques, high-resolution structural information about t...

METTL3 Mediates Atheroprone Flow–Induced Glycolysis in Endothelial Cells

1. Research Background Atherosclerosis is the primary pathological basis of cardiovascular diseases, closely associated with endothelial cell (EC) dysfunction. Hemodynamic factors play a critical role in the regional selectivity of atherosclerosis: oscillatory shear stress (OS) (e.g., at vascular bifurcations) promotes plaque formation, while pulsa...

DeepRNA-Twist: Language-Model-Guided RNA Torsion Angle Prediction with Attention-Inception Network

1. Academic Background and Research Motivation With the rapid development of life sciences and bioinformatics, research into RNA molecular structure and function has become a hot topic. RNA is not merely a carrier of genetic information, but also plays critical roles in regulation, catalysis, and various physiological processes. The three-dimension...

Problem Solving Protocol: Accurate Residue-Level Phase Separation Prediction Using Protein Conformational and Language Model Embeddings

1. Academic Background and Research Significance In recent years, protein liquid–liquid phase separation (PS) has emerged as a key mechanism regulating biomolecules inside cells, attracting widespread attention in the life sciences. Phase separation not only drives the formation of biomolecular condensates (membraneless organelles), but also extens...

Chrombus-XMBD: A Graph Convolution Model Predicting 3D-Genome from Chromatin Features

Research Background and Disciplinary Significance In eukaryotic cells, the three-dimensional (3D) spatial structure of chromatin plays a crucial role in gene expression regulation. Through complex folding, looping, and local spatial reconfiguration of DNA, different genetic elements (such as promoters and enhancers) are brought into spatial proximi...

Deep scSTAR: Leveraging Deep Learning for the Extraction and Enhancement of Phenotype-Associated Features from Single-Cell RNA Sequencing and Spatial Transcriptomics Data

In recent years, cutting-edge technologies such as single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) have greatly advanced the development of life sciences and clinical medicine. These technologies have revealed cellular heterogeneity and brought novel insights into major fields such as disease, development, and immunity. Howe...

Ensemble Learning Based on Matrix Completion Improves Microbe-Disease Association Prediction

Academic Background and Research Problem Microorganisms, as one of the most widely distributed forms of life on Earth, are closely related to oceans, soil, and the human body. The human body contains approximately 350 trillion microbial cells, which are intricately linked to human health and the onset and progression of diseases. In recent years, w...

Benchmarking Copy Number Aberrations Inference Tools Using Single-Cell Multi-Omics Datasets

1. Research Background and Significance In the fields of oncology and genomics, chromosomal copy number alterations (CNAs) are a key type of genetic variation driving the occurrence and progression of cancer. CNAs not only determine tumor heterogeneity but also play a crucial role in early tumor detection, subclone evolution analysis, research on d...