ABSTRACT
For multicellular organisms, cell-cell communication is essential to numerous biological processes. Drawing upon the latest development of single-cell RNA-sequencing (scRNA-seq), high-resolution transcriptomic data have deepened our understanding of cellular phenotype heterogeneity and composition of complex tissues, which enables systematic cell-cell communication studies at a single-cell level. We first summarize a common workflow of cell-cell communication study using scRNA-seq data, which often includes data preparation, construction of communication networks, and result validation. Two common strategies taken to uncover cell-cell communications are reviewed, e.g., physically vicinal structure-based and ligand-receptor interaction-based one. To conclude, challenges and current applications of cell-cell communication studies at a single-cell resolution are discussed in details and future perspectives are proposed.
Subject(s)
Animals , Humans , Cell Communication , RNA-Seq , Single-Cell Analysis , TranscriptomeABSTRACT
With the completion of the human genome project, people have gradually recognized that the functions of the biological system are fulfilled through network-type interaction between genes, proteins and small molecules, while complex diseases are caused by the imbalance of biological processes due to a number of gene expression disorders. These have contributed to the rise of the concept of the "multi-target" drug discovery. Treatment and diagnosis of traditional Chinese medicine are based on holism and syndrome differentiation. At the molecular level, traditional Chinese medicine is characterized by multi-component and multi-target prescriptions, which is expected to provide a reference for the development of multi-target drugs. This paper reviews the application of network biology in traditional Chinese medicine in six aspects, in expectation to provide a reference to the modernized study of traditional Chinese medicine.
Subject(s)
Humans , Drug Discovery , Drugs, Chinese Herbal , Medicine, Chinese Traditional , Systems BiologyABSTRACT
<p><b>OBJECTIVE</b>To investigate the mechanisms of Panax notoginseng saponins (PNS) in treating coronary heart disease (CHD) by integrating gene interaction network and functional enrichment analysis.</p><p><b>METHODS</b>Text mining was used to get CHD and PNS associated genes. Gene-gene interaction networks of CHD and PNS were built by the GeneMANIA Cytoscape plugin. Advanced Network Merge Cytoscape plugin was used to analyze the two networks. Their functions were analyzed by gene functional enrichment analysis via DAVID Bioinformatics. Joint subnetwork of CHD network and PNS network was identifified by network analysis.</p><p><b>RESULTS</b>The 11 genes of the joint subnetwork were the direct targets of PNS in CHD network and enriched in cytokine-cytokine receptor interaction pathway. PNS could affect other 85 genes by the gene-gene interaction of joint subnetwork and these genes were enriched in other 7 pathways. The direct mechanisms of PNS in treating CHD by targeting cytokines to relieve the inflflammation and the indirect mechanisms of PNS in treating CHD by affecting other 7 pathways through the interaction of joint subnetwork of PNS and CHD network. The genes in the 7 pathways could be potential targets for the immunologic adjuvant, anticoagulant, hypolipidemic, anti-platelet and anti-hypertrophic activities of PNS.</p><p><b>CONCLUSIONS</b>The key mechanisms of PNS in treating CHD could be anticoagulant and hypolipidemic which are indicated by analyzing biological functions of hubs in the merged network.</p>
Subject(s)
Humans , Coronary Disease , Drug Therapy , Genetics , Gene Expression Profiling , Gene Regulatory Networks , Panax notoginseng , Chemistry , Phytotherapy , Saponins , Pharmacology , Therapeutic UsesABSTRACT
Network toxicology that is an important branch of the network pharmacology emerges on the basis of network biology. It refers to study on the toxicological features of a constructed network model which is used to analyze toxic substances and their interaction and regulation in biological systems, particularly investigate the toxic effects of drugs and/or compatibility of medicines on body, and clarify the mechanism of toxicity. Network toxicology currently develops rapidly in safety prediction of Chinese materia medica (CMM). The application of network toxicology to safety and toxicology study on CMM is extremely beneficial to identify the toxic components and potential incompatibility of CMM. Since CMM is a complex system with multi-components, multi-targets, and multi-interactions, the network toxicology in safety prediction of CMM faces three great challenges, including integration studies of bioinformatics, innovation of methods, and tools and risk assessment in future development of the network toxicology in CMM research. In this paper, relevant database, approaches and tools that network toxicology utilized in the safety study of CMM were carefully reviewed. Based on the progress made, the scientific development and modernization of CMM will be greatly enhanced.
ABSTRACT
Traditional Chinese medicine (TCM) has developed over thousands of years and has accumulated abundant clinical experience, forming a comprehensive and unique medical system. Emerging evidence has begun to illustrate TCM as an area of important medical rediscoveries. This review article briefly introduced the concept, significance, and technology of network pharmacology based on network biology and systems biology. It focused on the theoretical system and potential prospect of TCM network applied in TCM research and development including predicting new drug targets, action mechanism, new drug discovery; evaluating pharmacodynamics, pharmacokinetics, safety, toxicology, quality control, and bioinformatics of drugs. We also discussed the opportunities and challenges in the development and application of network pharmacology in the modernization of TCM research.
ABSTRACT
No abstract available.