Temporal Proteomic Profiling of Pheromone-Induced Cell Cycle Re-Entry in Saccharomyces cerevisiae

IF 3.4 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Proteomics Pub Date : 2025-04-21 DOI:10.1002/pmic.202400455
Sneha Parmar, Nathan R. Zuniga, Valentina Rossio, Xinyue Liu, Joao A. Paulo
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引用次数: 0

Abstract

The regulation of cell cycle progression in response to environmental cues is essential for cellular adaptation. In Saccharomyces cerevisiae, the BAR1 gene modulates sensitivity to the mating pheromone α-factor, which induces cell cycle arrest in G1. Here, we investigated the dynamic proteomic response in the bar1 deletion strain using a 27-plex experimental design with TMTproD isobaric labeling. Asynchronous bar1Δ cells were treated with α-factor and then released from the pheromone-induced cell cycle arrest in G1. Using higher-order TMTpro sample multiplexing, we generated global temporal profiles of protein abundance associated with recovery from this arrest, with triplicate samples collected at eight time points from 0 to 165 min after washing out the pheromone. We identify specific proteins involved in cell cycle re-entry and in the attenuation of the pheromone signal, providing insights into the regulatory mechanisms of mating response in yeast. This study also contributes significantly to dynamic proteomic analysis of cell cycle progression. We present a versatile approach for investigating complex cellular processes and showcase cell cycle progression following release from pheromone-induced arrest in yeast.

信息素诱导的酿酒酵母细胞周期再进入的时间蛋白质组学分析
细胞周期进程在响应环境线索的调节是细胞适应的必要条件。在酿酒酵母中,BAR1基因调节对交配信息素α-因子的敏感性,从而诱导G1期细胞周期阻滞。本研究采用TMTproD等压标记的27 plex实验设计,研究了bar1缺失菌株的动态蛋白质组学反应。异步bar1Δ细胞经α-因子处理后,在G1期从费洛蒙诱导的细胞周期阻滞中释放出来。利用高阶TMTpro样品多路复用,我们生成了与该捕获恢复相关的蛋白质丰度的全球时间剖面,在洗去费洛蒙后的0到165分钟的八个时间点收集了三个重复样品。我们确定了参与细胞周期再进入和信息素信号衰减的特定蛋白质,为酵母交配反应的调节机制提供了见解。该研究也为细胞周期进程的动态蛋白质组学分析做出了重要贡献。我们提出了一种通用的方法来研究复杂的细胞过程和展示酵母中信息素诱导的细胞周期进程释放后的过程。
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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来源期刊
Proteomics
Proteomics 生物-生化研究方法
CiteScore
6.30
自引率
5.90%
发文量
193
审稿时长
3 months
期刊介绍: PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.
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