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沃伯格效应和易位诱导的基因组不稳定性:两种用于癌症细胞的酵母模型。

Warburg effect and translocation-induced genomic instability: two yeast models for cancer cells.

机构信息

International Centre for Genetic Engineering and Biotechnology Trieste, Italy.

出版信息

Front Oncol. 2013 Jan 18;2:212. doi: 10.3389/fonc.2012.00212. eCollection 2012.

Abstract

Yeast has been established as an efficient model system to study biological principles underpinning human health. In this review we focus on yeast models covering two aspects of cancer formation and progression (i) the activity of pyruvate kinase (PK), which recapitulates metabolic features of cancer cells, including the Warburg effect, and (ii) chromosome bridge-induced translocation (BIT) mimiking genome instability in cancer. Saccharomyces cerevisiae is an excellent model to study cancer cell metabolism, as exponentially growing yeast cells exhibit many metabolic similarities with rapidly proliferating cancer cells. The metabolic reconfiguration includes an increase in glucose uptake and fermentation, at the expense of respiration and oxidative phosphorylation (the Warburg effect), and involves a broad reconfiguration of nucleotide and amino acid metabolism. Both in yeast and humans, the regulation of this process seems to have a central player, PK, which is up-regulated in cancer, and to occur mostly on a post-transcriptional and post-translational basis. Furthermore, BIT allows to generate selectable translocation-derived recombinants ("translocants"), between any two desired chromosomal locations, in wild-type yeast strains transformed with a linear DNA cassette carrying a selectable marker flanked by two DNA sequences homologous to different chromosomes. Using the BIT system, targeted non-reciprocal translocations in mitosis are easily inducible. An extensive collection of different yeast translocants exhibiting genome instability and aberrant phenotypes similar to cancer cells has been produced and subjected to analysis. In this review, we hence provide an overview upon two yeast cancer models, and extrapolate general principles for mimicking human disease mechanisms in yeast.

摘要

酵母已被确立为研究人类健康基础生物学原理的有效模型系统。在这篇综述中,我们重点介绍了涵盖癌症形成和进展两个方面的酵母模型:(i) 丙酮酸激酶 (PK) 的活性,它再现了癌细胞的代谢特征,包括沃伯格效应,以及 (ii) 染色体桥诱导易位 (BIT),模拟癌症中的基因组不稳定性。酿酒酵母是研究癌细胞代谢的理想模型,因为指数生长的酵母细胞与快速增殖的癌细胞具有许多代谢相似性。代谢重排包括葡萄糖摄取和发酵增加,牺牲呼吸和氧化磷酸化(沃伯格效应),并涉及核苷酸和氨基酸代谢的广泛重排。在酵母和人类中,该过程的调节似乎都有一个核心参与者 PK,它在癌症中上调,并且主要发生在转录后和翻译后基础上。此外,BIT 允许在携带选择性标记物的线性 DNA 盒与两个不同染色体的同源 DNA 序列之间,在转化为线性 DNA 盒的野生型酵母菌株中生成可选择的易位衍生重组体(“易位体”)。使用 BIT 系统,很容易在有丝分裂中诱导靶向的非相互易位。已经产生并分析了大量具有基因组不稳定性和类似癌细胞表型的不同酵母易位体。在这篇综述中,我们提供了两个酵母癌症模型的概述,并推断了在酵母中模拟人类疾病机制的一般原则。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa62/3548335/9873d98cc462/fonc-02-00212-g001.jpg

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