Detection of pre-transition phases during biological development using single-sample network entropy (SNE) [0.03%]
基于单样本网络熵(SNE)的生物发育过程临界点检测方法
Chengmu She,Zhirui Tang,Yuan Tao et al.
Chengmu She et al.
Complex biological systems often undergo a pre-transition phase prior to the onset of catastrophic event, during which a sharp and essential shift occurs. There is a pressing need to develop a swift and effective method for identifying such...
Dynamical analysis of a model of BCL-2-dependent cellular decision making [0.03%]
基于BCL-2的细胞决策模型的动力学分析
Ielyaas Cloete,Tomás Alarcón
Ielyaas Cloete
The BCL-2 protein family governs critical cell-fate decisions between survival, senescence, and apoptosis, yet the dynamical principles underlying these choices remain poorly understood. Here, we integrate mathematical modeling, bifurcation...
Systems biology and microbiome innovations for personalized diabetic retinopathy management [0.03%]
系统生物学和微生物组创新在个性化糖尿病视网膜病变管理中的应用
Javad Aminian-Dehkordi,Fateme Montazeri,Ali Tamadon et al.
Javad Aminian-Dehkordi et al.
Diabetic retinopathy (DR), a complex condition driven by inflammation, oxidative stress, and metabolic imbalances, calls for innovative treatment strategies. Engineered probiotics delivering angiotensin-converting enzyme 2 (ACE2) offer a pr...
MarkerPredict: predicting clinically relevant predictive biomarkers with machine learning [0.03%]
MarkerPredict：利用机器学习预测临床相关的预测生物标志物
Daniel V Veres,Peter Csermely,Klára Schulc
Daniel V Veres
Precision oncology relies on predictive biomarkers for selecting targeted cancer therapies. Network-based properties of proteins, together with structural features such as intrinsic disorder, are likely to shape their potential as biomarker...
Data-driven modeling of amyloid-β targeted antibodies for Alzheimer's disease [0.03%]
基于数据的针对阿尔茨海默病淀粉样蛋白抗体建模研究
Kobra Rabiei,Jeffrey R Petrella,Suzanne Lenhart et al.
Kobra Rabiei et al.
Alzheimer's disease (AD) is characterized by the accumulation of amyloid beta, which is strongly associated with disease progression and cognitive decline. Despite the approval of monoclonal antibodies targeting Aβ, optimizing treatment st...
Data-driven universal insights into tumorigenesis via hallmark networks [0.03%]
基于标志网络的肿瘤发生发展的数据驱动研究及普适规律总结
Jiahe Wang,Yan Wu,Yuke Hou et al.
Jiahe Wang et al.
Cancers are complex diseases characterized by dynamic perturbations of regulatory networks across multiple hierarchical levels, which cannot be fully captured by alterations in a small number of genes. To this end, based on the concept of H...
Path-based quantification of activation and repression in Boolean models using BooLEVARD [0.03%]
基于路径的布尔模型激活与抑制量化方法BooLEVARD
Marco Fariñas,Eirini Tsirvouli,John Zobolas et al.
Marco Fariñas et al.
Boolean models are a powerful resource for studying dynamic processes of biological systems. However, their inherent discrete nature limits their ability to capture continuous aspects of signal transduction, such as signal strength or prote...
Transomic analysis reveals DNA methylation and transcription factor roles in obese liver protein expression [0.03%]
表观遗传调控在肥胖肝病发生发展中的作用机制研究
Hideki Maehara,Atsushi Hatano,Masaki Shirai et al.
Hideki Maehara et al.
Obesity impairs hepatic functions through abnormal functional protein expression, potentially through DNA methylation, which suppresses gene expression, and changes in transcription factors (TFs) expression. However, the specific protein ex...
WEE1 inhibition delays resistance to CDK4/6 inhibitor and antiestrogen treatment in ER+ MCF7 cells [0.03%]
WEE1抑制可延缓ER阳性MCF7细胞中CDK4/6抑制剂和抗雌激素治疗的耐药性产生
Wei He,Diane M Demas,Pavel Kraikivski et al.
Wei He et al.
Although endocrine therapies and Cdk4/6 inhibitors have improved outcomes for patients with estrogen receptor positive (ER+ ) breast cancer, continuous application of these drugs often results in resistance. Upregulation of G1 and S phase k...
TrackRefiner a tool for refinement of bacillus cell tracking data [0.03%]
一种用于链霉菌细胞跟踪数据优化的工具_TRACKREFINER
Atiyeh Ahmadi,Alireza Dostmohammadi,Rhyan Mclean et al.
Atiyeh Ahmadi et al.
Single-cell resolution time-lapse microscopy of bacterial populations is a powerful tool for assessing cellular behavior and interaction dynamics. Realizing its full potential requires accurate image analysis: segmentation of individual cel...