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...