In silico modeling of anterior foregut endoderm differentiation towards lung epithelial progenitors [0.03%]
肺上皮祖细胞体外建模预测分析
Amirmahdi Mostofinejad,David A Romero,Dana Brinson et al.
Amirmahdi Mostofinejad et al.
Directed differentiation of human induced pluripotent stem cells (iPSCs) into anterior foregut endoderm (AFE) and lung progenitors (LPs) has wide-ranging implications for lung developmental biology, disease modeling, and regenerative medici...
Canalization as a stabilizing principle of gene regulatory networks: a discrete dynamical systems perspective [0.03%]
基因调控网络的 canalization 稳定机制：离散动力系统视角
Claus Kadelka
Claus Kadelka
Gene regulatory networks exhibit remarkable stability, maintaining functional phenotypes despite genetic and environmental perturbations. Discrete dynamical models, such as Boolean networks, provide systems biologists with a tractable frame...
Machine learning prediction for AML based on 3D genome selected circRNA [0.03%]
基于三维基因组选择的环状rna的机器学习在急性髓系白血病中的预测作用
Zhangli Yuan,Wenqian Yan,Ruoyao Wang et al.
Zhangli Yuan et al.
Acute myeloid leukemia (AML) is a clinically aggressive hematologic malignancy driven by complex genetic and epigenetic aberrations. Circular RNAs (circRNAs), characterized by covalently closed structures and exceptional stability, have eme...
Gene regulatory network transitions reveal the central transcription factors in lung adenocarcinoma progression [0.03%]
基因调控网络的转换揭示了肺腺癌进展中的中心转录因子
Upasana Ray,Adarsh Singh,Debabrata Samanta et al.
Upasana Ray et al.
Transcription factors play a central role in cancer growth, progression, and metastasis, and contribute to intratumor phenotypic plasticity that enable drug tolerance and cancer relapse. Changes in the regulatory activities of transcription...
Association of copy number alterations with the immune transcriptomic landscape in cancer [0.03%]
拷贝数改变与癌症免疫转录组图谱间的关联分析
Stefan Loipfinger,Arkajyoti Bhattacharya,Carlos G Urzúa-Traslaviña et al.
Stefan Loipfinger et al.
Tumors with high copy number alteration (CNA) burden often respond poorly to immune checkpoint inhibitor therapy. However, how CNAs affect the anti-cancer immune response remains unclear. To address this, we set out to capture the transcrip...
Asthma-mediated control of optic glioma growth via T cell-microglia interactions: A mathematical model [0.03%]
哮喘通过T细胞-小胶质细胞相互作用介导的视神经胶质瘤生长控制：一种数学模型
Donggu Lee,Sean Lawler,Yangjin Kim
Donggu Lee
Optic glioma, a slow-growing tumor, is associated with Neurofibromatosis type 1 (NF1) mutations and increased midkine (MDK) production. A connection between asthma and optic glioma has previously been observed, but the mechanisms are unclea...
Data driven network inference and longitudinal transcriptomics unveil dynamic regulation in Chronic Lymphocytic Leukaemia models [0.03%]
数据驱动的网络推理和纵向转录组学揭示慢性淋巴细胞白血病模型中的动态调节作用
Malvina Marku,Hugo Chenel,Julie Bordenave et al.
Malvina Marku et al.
How do cancer cells respond to their environment, and what are the key regulators behind their behaviour? While immune cell reprogramming in the tumour microenvironment (TME) has been extensively studied, the dynamic regulatory changes with...
Modeling the microRNA regulation of TGF-β/SMAD signaling pathways for seizure control in temporal lobe epilepsy [0.03%]
用于控制颞叶癫痫发作的miRNA调节TGF-β/SMAD信号通路的建模
Kurt J A Pumares,Daniel P Martins,Aiman Khalil et al.
Kurt J A Pumares et al.
Temporal lobe epilepsy (TLE) is the most prevalent type of focal epilepsy. Recent developments in sequencing, proteomics and network analysis tools provide new avenues for investigating potential molecular therapeutic targets. Both the TGF-...
Mechanisms of rectified gap junctional coupling enhancing pacemaking activity of biologically engineered pacemaker cells [0.03%]
整流缝隙连接耦合增强生物工程技术起搏细胞起搏活性的机制研究
Yacong Li,Jun Liu,Xiangyun Bai et al.
Yacong Li et al.
Bio-pacemakers offer a potential alternative to electronic devices, yet their stable implementation at cellular and tissue levels remains unresolved. In this computational study, we aimed to investigate possible effects of the electrotonic ...
Cross-platform metabolomics imputation using importance-weighted autoencoders [0.03%]
基于重要性加权自编码器的跨平台代谢组学数据插补方法
Alexander Smith,Rui Pinto,Loukas Zagkos et al.
Alexander Smith et al.
Metabolomics data are often generated through different platforms and quantification methods which makes their synthesis and large-scale replication challenging. This study developed an ensemble of importance-weighted autoencoders to perfor...