合成细胞间遗传触发器中的模式形成和双稳态性

IF 3.9 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
ACS Synthetic Biology Pub Date : 2024-09-20 Epub Date: 2024-08-30 DOI:10.1021/acssynbio.4c00272
Bárbara de Freitas Magalhães, Gaoyang Fan, Eduardo Sontag, Krešimir Josić, Matthew R Bennett
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引用次数: 0

摘要

多细胞生物体内的分化是一个复杂的过程,有助于在体内建立空间模式和组织形成。通常情况下,细胞的分化受形态诱导因子和细胞间信号分子的控制,这些分子引导着每个细胞的命运,经常使用类似拨动开关的调节元件。长期以来,合成生物学家一直在寻求用工程细胞群落重现模式化分化,并发明了各种分化细菌的方法。在这里,我们将合成的核心抑制拨动开关与细胞间信号通路结合起来,创造出一种 "法定人数感应拨动开关"。我们的研究表明,这种回路不仅在混合良好的液体环境中表现出整个群体的双稳态性,而且还能在含有外部提供的形态发生器的琼脂上生长的菌落中产生分化模式。如果与其他新陈代谢过程结合起来,像这里描述的电路就可以设计出空间模式化的分化细菌,用于生物材料和生物电子学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Pattern Formation and Bistability in a Synthetic Intercellular Genetic Toggle.

Pattern Formation and Bistability in a Synthetic Intercellular Genetic Toggle.

Differentiation within multicellular organisms is a complex process that helps to establish spatial patterning and tissue formation within the body. Often, the differentiation of cells is governed by morphogens and intercellular signaling molecules that guide the fate of each cell, frequently using toggle-like regulatory components. Synthetic biologists have long sought to recapitulate patterned differentiation with engineered cellular communities, and various methods for differentiating bacteria have been invented. Here, we couple a synthetic corepressive toggle switch with intercellular signaling pathways to create a "quorum-sensing toggle". We show that this circuit not only exhibits population-wide bistability in a well-mixed liquid environment but also generates patterns of differentiation in colonies grown on agar containing an externally supplied morphogen. If coupled to other metabolic processes, circuits such as the one described here would allow for the engineering of spatially patterned, differentiated bacteria for use in biomaterials and bioelectronics.

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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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