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野生型和Mrs3/4ΔΔ酵母细胞中铁输入与转运的数学模型。

A mathematical model of iron import and trafficking in wild-type and Mrs3/4ΔΔ yeast cells.

作者信息

Wofford Joshua D, Lindahl Paul A

机构信息

Texas A&M University, Department of Chemistry, College Station, TX, 77843-3255, USA.

Texas A&M University, Department of Biochemistry & Biophysics, College Station, 77843-3255, USA.

出版信息

BMC Syst Biol. 2019 Feb 21;13(1):23. doi: 10.1186/s12918-019-0702-2.

Abstract

BACKGROUND

Iron plays crucial roles in the metabolism of eukaryotic cells. Much iron is trafficked into mitochondria where it is used for iron-sulfur cluster assembly and heme biosynthesis. A yeast strain in which Mrs3/4, the high-affinity iron importers on the mitochondrial inner membrane, are deleted exhibits a slow-growth phenotype when grown under iron-deficient conditions. However, these cells grow at WT rates under iron-sufficient conditions. The object of this study was to develop a mathematical model that could explain this recovery on the molecular level.

RESULTS

A multi-tiered strategy was used to solve an ordinary-differential-equations-based mathematical model of iron import, trafficking, and regulation in growing Saccharomyces cerevisiae cells. At the simplest level of modeling, all iron in the cell was presumed to be a single species and the cell was considered to be a single homogeneous volume. Optimized parameters associated with the rate of iron import and the rate of dilution due to cell growth were determined. At the next level of complexity, the cell was divided into three regions, including cytosol, mitochondria, and vacuoles, each of which was presumed to contain a single form of iron. Optimized parameters associated with import into these regions were determined. At the final level of complexity, nine components were assumed within the same three cellular regions. Parameters obtained at simpler levels of complexity were used to help solve the more complex versions of the model; this was advantageous because the data used for solving the simpler model variants were more reliable and complete relative to those required for the more complex variants. The optimized full-complexity model simulated the observed phenotype of WT and Mrs3/4ΔΔ cells with acceptable fidelity, and the model exhibited some predictive power.

CONCLUSIONS

The developed model highlights the importance of an Fe mitochondrial pool and the necessary exclusion of O in the mitochondrial matrix for eukaryotic iron-sulfur cluster metabolism. Similar multi-tiered strategies could be used for any micronutrient in which concentrations and metabolic forms have been determined in different organelles within a growing eukaryotic cell.

摘要

背景

铁在真核细胞的代谢中起着关键作用。大量铁被转运到线粒体中,用于铁硫簇组装和血红素生物合成。线粒体内膜上的高亲和力铁转运蛋白Mrs3/4缺失的酵母菌株在缺铁条件下生长时表现出生长缓慢的表型。然而,这些细胞在铁充足的条件下以野生型速率生长。本研究的目的是建立一个能够在分子水平上解释这种恢复现象的数学模型。

结果

采用多层次策略来求解基于常微分方程的酿酒酵母细胞中铁的导入、运输和调节的数学模型。在最简单的建模水平上,假定细胞内的所有铁为单一物种,并且细胞被视为一个单一的均匀体积。确定了与铁导入速率和细胞生长导致的稀释速率相关的优化参数。在次一级的复杂水平上,细胞被分为三个区域,包括细胞质、线粒体和液泡,每个区域假定含有单一形式的铁。确定了与这些区域导入相关的优化参数。在最终的复杂水平上,假定在相同的三个细胞区域内有九个成分。在较简单复杂水平上获得的参数用于帮助求解模型的更复杂版本;这是有利的,因为用于求解较简单模型变体的数据相对于更复杂变体所需的数据更可靠和完整。优化后的全复杂度模型以可接受的保真度模拟了野生型和Mrs3/4ΔΔ细胞的观察到的表型,并且该模型具有一定的预测能力。

结论

所建立的模型突出了线粒体铁池的重要性以及线粒体内基质中排除氧对于真核铁硫簇代谢的必要性。类似的多层次策略可用于任何在生长的真核细胞内不同细胞器中已确定浓度和代谢形式的微量营养素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bb8/6385441/9b33867a84c9/12918_2019_702_Fig1_HTML.jpg

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