{"title":"Technologies for whole-cell modeling: Genome-wide reconstruction of a cell in silico","authors":"Kazunari Kaizu, Koichi Takahashi","doi":"10.1111/dgd.12897","DOIUrl":null,"url":null,"abstract":"<p>With advances in high-throughput, large-scale in vivo measurement and genome modification techniques at the single-nucleotide level, there is an increasing demand for the development of new technologies for the flexible design and control of cellular systems. Computer-aided design is a powerful tool to design new cells. Whole-cell modeling aims to integrate various cellular subsystems, determine their interactions and cooperative mechanisms, and predict comprehensive cellular behaviors by computational simulations on a genome-wide scale. It has been applied to prokaryotes, yeasts, and higher eukaryotic cells, and utilized in a wide range of applications, including production of valuable substances, drug discovery, and controlled differentiation. Whole-cell modeling, consisting of several thousand elements with diverse scales and properties, requires innovative model construction, simulation, and analysis techniques. Furthermore, whole-cell modeling has been extended to multiple scales, including high-resolution modeling at the single-nucleotide and single-amino acid levels and multicellular modeling of tissues and organs. This review presents an overview of the current state of whole-cell modeling, discusses the novel computational and experimental technologies driving it, and introduces further developments toward multihierarchical modeling on a whole-genome scale.</p>","PeriodicalId":50589,"journal":{"name":"Development Growth & Differentiation","volume":"65 9","pages":"554-564"},"PeriodicalIF":1.7000,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/dgd.12897","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Development Growth & Differentiation","FirstCategoryId":"99","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/dgd.12897","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
With advances in high-throughput, large-scale in vivo measurement and genome modification techniques at the single-nucleotide level, there is an increasing demand for the development of new technologies for the flexible design and control of cellular systems. Computer-aided design is a powerful tool to design new cells. Whole-cell modeling aims to integrate various cellular subsystems, determine their interactions and cooperative mechanisms, and predict comprehensive cellular behaviors by computational simulations on a genome-wide scale. It has been applied to prokaryotes, yeasts, and higher eukaryotic cells, and utilized in a wide range of applications, including production of valuable substances, drug discovery, and controlled differentiation. Whole-cell modeling, consisting of several thousand elements with diverse scales and properties, requires innovative model construction, simulation, and analysis techniques. Furthermore, whole-cell modeling has been extended to multiple scales, including high-resolution modeling at the single-nucleotide and single-amino acid levels and multicellular modeling of tissues and organs. This review presents an overview of the current state of whole-cell modeling, discusses the novel computational and experimental technologies driving it, and introduces further developments toward multihierarchical modeling on a whole-genome scale.
期刊介绍:
Development Growth & Differentiation (DGD) publishes three types of articles: original, resource, and review papers.
Original papers are on any subjects having a context in development, growth, and differentiation processes in animals, plants, and microorganisms, dealing with molecular, genetic, cellular and organismal phenomena including metamorphosis and regeneration, while using experimental, theoretical, and bioinformatic approaches. Papers on other related fields are also welcome, such as stem cell biology, genomics, neuroscience, Evodevo, Ecodevo, and medical science as well as related methodology (new or revised techniques) and bioresources.
Resource papers describe a dataset, such as whole genome sequences and expressed sequence tags (ESTs), with some biological insights, which should be valuable for studying the subjects as mentioned above.
Submission of review papers is also encouraged, especially those providing a new scope based on the authors’ own study, or a summarization of their study series.