单细胞自主形成多细胞形状的算法。

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS ACS Synthetic Biology Pub Date : 2024-09-20 Epub Date: 2024-08-28 DOI:10.1021/acssynbio.4c00037
Evan Appleton, Noushin Mehdipour, Tristan Daifuku, Demarcus Briers, Iman Haghighi, Michaël Moret, George Chao, Timothy Wannier, Anush Chiappino-Pepe, Jeremy Huang, Calin Belta, George M Church
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引用次数: 0

摘要

多细胞生物体起源于单细胞,最终在复杂的结构中产生由不同细胞类型组成的成熟生物体。干细胞生物学和组织工程学领域的最新研究为将某些类型的细胞转化为其他类型的细胞奠定了重要基础,但在控制细胞生长过程中的细胞团形态方面进展有限。当代解决这一问题的方法包括使用人工支架、三维生物打印和复杂的培养基配方;然而,目前还没有纯粹通过遗传学和从单细胞出发来控制这一过程的方法。在这里,我们介绍一种名为 CellArchitect 的计算机辅助设计方法,用于设计基于重组酶的遗传电路,控制人类细胞中多细胞团块形成任意形状。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Algorithms for Autonomous Formation of Multicellular Shapes from Single Cells.

Multicellular organisms originate from a single cell, ultimately giving rise to mature organisms of heterogeneous cell type composition in complex structures. Recent work in the areas of stem cell biology and tissue engineering has laid major groundwork in the ability to convert certain types of cells into other types, but there has been limited progress in the ability to control the morphology of cellular masses as they grow. Contemporary approaches to this problem have included the use of artificial scaffolds, 3D bioprinting, and complex media formulations; however, there are no existing approaches to controlling this process purely through genetics and from a single-cell starting point. Here we describe a computer-aided design approach, called CellArchitect, for designing recombinase-based genetic circuits for controlling the formation of multicellular masses into arbitrary shapes in human cells.

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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
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