Unlocking Melanoma Suppression: Insights from Plasma-Induced Potent miRNAs through PI3K-AKT-ZEB1 Axis

Study on Melanoma Suppression by Non-Thermal Atmospheric Pressure Plasma via the PI3K-AKT-ZEB1 Axis Academic Background Melanoma is the most aggressive and deadly form of skin cancer, particularly in its advanced stages, making treatment extremely challenging. Although recent advancements in targeted therapy and immunotherapy have improved patient ...

Stochastic Modeling of Single-Cell Gene Expression Adaptation Reveals Non-Genomic Contribution to Evolution of Tumor Subclones

Stochastic Modeling of Single-Cell Gene Expression Adaptation Reveals Non-Genomic Contribution to Tumor Subclone Evolution Academic Background Cancer is a complex disease whose progression is driven by the evolution of cells that are selected through adaptive advantages for growth. Traditionally, cancer evolution research has focused primarily on g...

Contrastive Learning of T Cell Receptor Representations

New Breakthrough in T Cell Receptor (TCR) Specificity Prediction: The Introduction of the SCEPTR Model Academic Background T cell receptors (TCRs) play a crucial role in the immune system by determining the specificity of immune responses through their binding to peptide-MHC complexes (pMHCs). Understanding the interaction between TCRs and specific...

Study Reveals CDK2 Activity Crosstalk in ERK Kinase Translocation Reporter

CDK2 Activity Interference on ERK and p38 KTR Signals and Computational Correction Methods Recently, a paper published in Cell Systems by authors Timothy E. Hoffman, Chengzhe Tian, Varuna Nangia, and others revealed the interference of cyclin-dependent kinase 2 (CDK2) on the kinase translocation reporter (KTR) signals in the extracellular signal-re...

Multimodal Learning for Mapping Genotype–Phenotype Dynamics

Multimodal Learning Reveals Genotype–Phenotype Dynamics Background The complex relationship between genotype and phenotype has long been a central question in biology. Genotype refers to the genetic information of an organism, while phenotype is the manifestation of this genetic information in a specific environment. Although Wilhelm Johannsen intr...

Spatial Modeling Algorithms for Reactions and Transport in Biological Cells

Research on Spatial Modeling Algorithms for Cellular Signaling Reactions and Transport Background Biological cells achieve their functions through complex biochemical reaction networks. These networks exhibit significant spatiotemporal dynamics, with pronounced spatial compartmentalization across different regions and subcellular structures. Howeve...