研究多种转运体的作用及其对耐药性影响的系统框架。

IF 1.5 4区 生物学 Q4 CELL BIOLOGY
Manfredi di San Germano, J Krishnan
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引用次数: 0

摘要

外排转运体是原核细胞和真核细胞的基本组成部分,在维持细胞平衡方面发挥着关键作用,是连接单细胞和群体水平的重要桥梁。从生物医学的角度来看,它们在细菌和人类癌细胞等一系列系统的耐药性(尤其是多重耐药性,MDR)中发挥着至关重要的作用。这些细胞中通常存在多个外排转运体,外排转运体转运一系列底物(转运体之间有部分底物重叠)。此外,在耐药性的情况下,转运体的水平可能会因细胞外或细胞内因素(前馈调节)或药物本身(反馈调节)而升高。因此,我们亟需从系统层面了解一组转运体的整体功能及其对一种或多种药物的反应。为此,我们开发了一个系统框架,研究了一组转运体的功能、它们与一种或多种药物的相互作用以及它们的调节(前馈和反馈)。通过计算和分析工作,我们从药物和转运体的多样性、不同药物与转运体的相互作用参数、螯合以及反馈和前馈调节之间的相互作用中,获得了对一组转运体的系统级功能的透彻见解。从对多种转运体的最基本考虑中得出的这些深刻见解,对自然生物学、生物医学工程和合成生物学具有广泛的意义。洞察、创新、整合:创新:创建结构化系统框架,评估多种转运体对药物外流和耐药性的影响。通过系统分析,我们可以评估多种转运体对一种/多种药物的影响,并剖析相关的耐药性机制。通过整合可以阐明关键的因果关系,并从系统层面透彻了解转运体的整体功能及其对耐药性的影响,揭示关键潜在因素的相互作用。系统层面的见解包括:作为群体一部分的转运体本质上的不同行为;流入的非直观影响;前馈和药物诱导机制对转运体水平升高的影响。相关性:对药物外流及其在 MDR 中作用的系统认识,为设计治疗方法和合成生物学设计提供框架/平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A systems framework for investigating the roles of multiple transporters and their impact on drug resistance.

Efflux transporters are a fundamental component of both prokaryotic and eukaryotic cells, play a crucial role in maintaining cellular homeostasis, and represent a key bridge between single cell and population levels. From a biomedical perspective, they play a crucial role in drug resistance (and especially multi-drug resistance, MDR) in a range of systems spanning bacteria and human cancer cells. Typically, multiple efflux transporters are present in these cells, and the efflux transporters transport a range of substrates (with partially overlapping substrates between transporters). Furthermore, in the context of drug resistance, the levels of transporters may be elevated either due to extra or intracellular factors (feedforward regulation) or due to the drug itself (feedback regulation). As a consequence, there is a real need for a transparent systems-level understanding of the collective functioning of a set of transporters and their response to one or more drugs. We develop a systems framework for this purpose and examine the functioning of sets of transporters, their interplay with one or more drugs and their regulation (both feedforward and feedback). Using computational and analytical work, we obtain transparent insights into the systems level functioning of a set of transporters arising from the interplay between the multiplicity of drugs and transporters, different drug-transporter interaction parameters, sequestration and feedback and feedforward regulation. These insights transparently arising from the most basic consideration of a multiplicity of transporters have broad relevance in natural biology, biomedical engineering and synthetic biology. Insight, Innovation, Integration: Innovation: creating a structured systems framework for evaluating the impact of multiple transporters on drug efflux and drug resistance. Systematic analysis allows us to evaluate the effect of multiple transporters on one/more drugs, and dissect associated resistance mechanisms. Integration allows for elucidation of key cause-and-effect relationships and a transparent systems-level understanding of the collective functioning of transporters and their impact on resistance, revealing the interplay of key underlying factors. Systems-level insights include the essentially different behaviour of transporters as part of a group; unintuitive effects of influx; effects of elevated transporter-levels by feedforward and drug-induced mechanisms. Relevance: a systems understanding of efflux, their role in MDR, providing a framework/platform for use in designing treatment, and in synthetic biology design.

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来源期刊
Integrative Biology
Integrative Biology 生物-细胞生物学
CiteScore
4.90
自引率
0.00%
发文量
15
审稿时长
1 months
期刊介绍: Integrative Biology publishes original biological research based on innovative experimental and theoretical methodologies that answer biological questions. The journal is multi- and inter-disciplinary, calling upon expertise and technologies from the physical sciences, engineering, computation, imaging, and mathematics to address critical questions in biological systems. Research using experimental or computational quantitative technologies to characterise biological systems at the molecular, cellular, tissue and population levels is welcomed. Of particular interest are submissions contributing to quantitative understanding of how component properties at one level in the dimensional scale (nano to micro) determine system behaviour at a higher level of complexity. Studies of synthetic systems, whether used to elucidate fundamental principles of biological function or as the basis for novel applications are also of interest.
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