耳蜗组织的定量蛋白质组学:豚鼠和大鼠的双边比较。

IF 3.9 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Proteomics Pub Date : 2025-06-23 DOI:10.1002/pmic.13977
Motahare Khorrami, Paul A. Haynes, Christopher Pastras, Mohsen Asadnia
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引用次数: 0

摘要

耳蜗是一种非常敏感的感觉系统,它能探测到声波并将其转化为大脑识别为声音的电信号。耳蜗毛细胞受损会释放蛋白质,引发可能损害听力的生物反应。基于质谱的蛋白质组学提供了耳蜗组织中蛋白质表达变化的见解,提高了我们对内耳疾病的理解。在这项研究中,我们对健康豚鼠和大鼠的全耳蜗组织进行了全面的蛋白质组学分析。该研究优化了蛋白质提取方案,并对每种动物模型使用三个生物重复分析耳蜗蛋白表达。结果包括在豚鼠中鉴定出1841种蛋白,在大鼠中鉴定出3423种蛋白,左耳和右耳之间耳蜗蛋白表达高度重叠,豚鼠为93%,大鼠为89%。研究结果证实了一个假设,即耳朵两侧的耳蜗组织在生物学上是等同的。本实验为豚鼠和大鼠提供了一个全面的耳蜗蛋白质组,为未来内耳疾病的研究提供了支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Quantitative Proteomics of Cochlear Tissues: Bilateral Comparisons in Guinea Pigs and Rats

Quantitative Proteomics of Cochlear Tissues: Bilateral Comparisons in Guinea Pigs and Rats

The cochlea, an incredibly sensitive sensory system, detects sound waves and converts them into electrical signals the brain recognizes as sound. Damage to cochlear hair cells can release proteins, triggering biological responses that may impair hearing. Mass spectrometry-based proteomics offers insights into protein expression changes in cochlear tissues, improving our understanding of inner ear diseases. In this study, we performed a comprehensive proteomics analysis of whole cochlear tissue extracted from healthy guinea pigs and rats. The study optimized protein extraction protocols and analyzed cochlear protein expression using three biological replicates for each animal model. The results included the identification of 1841 proteins in guinea pigs and 3423 proteins in rats, with a high overlap in cochlear protein expression between the left and right ears—93% in guinea pigs and 89% in rats. The findings validate the assumption that the cochlear tissues from both sides of the ears can be considered biologically equivalent. This experiment provides a comprehensive cochlear proteome for guinea pigs and rats, supporting future studies on inner ear disorders.

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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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