Assessing the Effects of Dasatinib on Mesenchymal Stem/Stromal Cells

Academic Background Mesenchymal Stem/Stromal Cells (MSCs) are a type of multipotent stem cells widely used in regenerative medicine and cell therapy. However, MSCs undergo progressive aging (senescence) during in vitro culture, leading to a decline in their proliferation and differentiation capabilities, which poses a significant obstacle to their ...

Simulation of Somatic Evolution through the Introduction of Random Mutation to the Rules of Conway’s Game of Life

Academic Background Since its introduction in 1970, Conway’s Game of Life (GoL) has been a classic model for studying the behavior of complex systems. As a Cellular Automata (CA) model, GoL simulates the life and death of cells on a two-dimensional grid through simple rules, demonstrating complex behaviors emerging from these rules. Although GoL ha...

Fibroblast-Adipocyte Lineage Cell Interactions Result in Differential Production of Extracellular Matrix Proteins

Academic Background Scar formation is a common issue following trauma, burns, and other complications, significantly impacting the quality of life for millions of people worldwide. Fibroblasts play a central role in pathological scar formation, making them a common target for developing new therapies to promote healing and reduce scarring. Recent s...

Hypoxic Preconditioned ADSC Exosomes Enhance Vaginal Wound Healing via Accelerated Keratinocyte Proliferation and Migration through Akt/HIF-1α Axis Activation

Vaginal wound healing is a critical issue in gynecological surgery, especially following vaginal delivery or pelvic reconstructive surgery. Infection and poor healing of vaginal wounds can lead to severe complications such as chronic pain, infection, and dysfunction. Therefore, accelerating vaginal wound healing has been a focal point of clinical r...

Gene Selection for Single Cell RNA-seq Data via Fuzzy Rough Iterative Computation Model

Background Introduction Single-cell RNA sequencing (scRNA-seq) technology has been widely applied in biomedical research in recent years, as it can reveal the heterogeneity of gene expression at the single-cell level, providing an important tool for understanding cell types, cell states, and disease mechanisms. However, scRNA-seq data is characteri...

Catch Bonds Nonlinearly Control CD8 Cooperation to Shape T Cell Specificity

T cell receptors (TCRs) play a crucial role in the immune system by recognizing antigen peptides presented by major histocompatibility complexes (MHCs), thereby initiating immune responses against pathogens and tumor cells. However, the specificity of TCRs—their ability to distinguish self-antigens from non-self antigens—is central to the effective...

Significance in Scale Space for Hi-C Data Analysis

In the field of genomics, understanding the spatial organization of the genome is crucial for uncovering gene regulatory mechanisms. Hi-C technology, as a genome-wide chromosome conformation capture technique, can reveal the three-dimensional structure of the genome, particularly the key role of chromatin loops in gene regulation. However, existing...

Multi-Modal Interpretable Representation for Non-Coding RNA Classification and Class Annotation

Non-coding RNAs (ncRNAs) play critical roles in cellular processes and disease development. Although genome sequencing projects have revealed a vast number of non-coding genes, the functional classification of ncRNAs remains a complex and challenging issue. The diversity, complexity, and functionality of ncRNAs make them important subjects in biome...

Privacy-Preserving Framework for Genomic Computations via Multi-Key Homomorphic Encryption

Privacy-Preserving Framework for Genomic Analysis: A Study Based on Multi-Key Homomorphic Encryption Academic Background With the reduction in the cost of genome sequencing, the widespread availability of genomic data has opened up new possibilities for personalized medicine (also known as genomic medicine). However, genomic data contains a vast am...

EPICPred: Predicting Phenotypes Driven by Epitope-Binding TCRs Using Attention-Based Multiple Instance Learning

T-cell receptors (TCRs) play a crucial role in the adaptive immune system by recognizing pathogens through binding to specific antigen epitopes. Understanding the interactions between TCRs and epitopes is essential for uncovering the biological mechanisms of immune responses and developing T cell-mediated immunotherapies. However, although the impo...