An individual-based model for collective cancer cell migration explains speed dynamics and phenotype variability in response to growth factors [0.03%]
一种基于个体的集体癌细胞迁移模型解释了生长因子作用下的速度变化和表型变异
Damian Stichel,Alistair M Middleton,Benedikt F Müller et al.
Damian Stichel et al.
Collective cell migration is a common phenotype in epithelial cancers, which is associated with tumor cell metastasis and poor patient survival. However, the interplay between physiologically relevant pro-migratory stimuli and the underlyin...
Meta-analysis of host response networks identifies a common core in tuberculosis [0.03%]
宿主响应网络的 meta 分析鉴定出结核病中的共有核心
Awanti Sambarey,Abhinandan Devaprasad,Priyanka Baloni et al.
Awanti Sambarey et al.
Tuberculosis remains a major global health challenge worldwide, causing more than a million deaths annually. To determine newer methods for detecting and combating the disease, it is necessary to characterise global host responses to infect...
Predicting growth of the healthy infant using a genome scale metabolic model [0.03%]
基于基因组范围代谢模型的正常婴儿生长预测
Avlant Nilsson,Adil Mardinoglu,Jens Nielsen
Avlant Nilsson
An estimated 165 million children globally have stunted growth, and extensive growth data are available. Genome scale metabolic models allow the simulation of molecular flux over each metabolic enzyme, and are well adapted to analyze biolog...
HD Physiology Project-Japanese efforts to promote multilevel integrative systems biology and physiome research [0.03%]
高清晰生理学项目——日本多级综合系统生物学和生理组学研究的努力方向与成果报告
Kazuharu Furutani,Kunichika Tsumoto,Yoshihisa Kurachi;for HD physiology project investigators
Kazuharu Furutani
The HD Physiology Project is a Japanese research consortium that aimed to develop methods and a computational platform in which physiological and pathological information can be described in high-level definitions across multiple scales of ...
Neighbours of cancer-related proteins have key influence on pathogenesis and could increase the drug target space for anticancer therapies [0.03%]
与癌症相关蛋白质相邻的蛋白质在发病机制中具有重要影响并可能增加抗癌疗法的药物靶点空间
Dezső Módos,Krishna C Bulusu,Dávid Fazekas et al.
Dezső Módos et al.
Even targeted chemotherapies against solid cancers show a moderate success increasing the need to novel targeting strategies. To address this problem, we designed a systems-level approach investigating the neighbourhood of mutated or differ...
L1000CDS2: LINCS L1000 characteristic direction signatures search engine [0.03%]
L1000CDS2：LINCS L1000 特征方向签名搜索引擎
Qiaonan Duan,St Patrick Reid,Neil R Clark et al.
Qiaonan Duan et al.
The library of integrated network-based cellular signatures (LINCS) L1000 data set currently comprises of over a million gene expression profiles of chemically perturbed human cell lines. Through unique several intrinsic and extrinsic bench...
A Method to Identify and Analyze Biological Programs through Automated Reasoning [0.03%]
一种通过自动推理鉴定和分析生物程序的方法
Boyan Yordanov,Sara-Jane Dunn,Hillel Kugler et al.
Boyan Yordanov et al.
Predictive biology is elusive because rigorous, data-constrained, mechanistic models of complex biological systems are difficult to derive and validate. Current approaches tend to construct and examine static interaction network models, whi...
Elucidating the genotype-phenotype map by automatic enumeration and analysis of the phenotypic repertoire [0.03%]
通过自动枚举和分析表型谱系来阐明基因型-表型映射关系
Jason G Lomnitz,Michael A Savageau
Jason G Lomnitz
Background: The gap between genotype and phenotype is filled by complex biochemical systems most of which are poorly understood. Because these systems are complex, it is widely appreciated that quantitative understanding ...
Emergence of multiple collective motility modes in a physical model of cell chains [0.03%]
细胞链物理模型中多种集体运动模式的产生
Collective cell migration is central to processes like development and cancer metastasis. While mechanisms of collective motility are increasingly understood, their classification remains incomplete. Here, we study the migration of small ce...
Translational disease modeling of peripheral blood identifies type 2 diabetes biomarkers predictive of Alzheimer's disease [0.03%]
外周血疾病转化模型鉴定出可预测阿尔茨海默病的2型糖尿病生物标志物
Type 2 diabetes (T2D) is a significant risk factor for Alzheimer's disease (AD). Despite multiple studies reporting this connection, the mechanism by which T2D exacerbates AD is poorly understood. It is challenging to design studies that ad...