Cho William C S
Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong, China.
Genomics Proteomics Bioinformatics. 2007 May;5(2):77-85. doi: 10.1016/S1672-0229(07)60018-7.
Proteomics is the study of proteins and their interactions in a cell. With the completion of the Human Genome Project, the emphasis is shifting to the protein compliment of the human organism. Because proteome reflects more accurately on the dynamic state of a cell, tissue, or organism, much is expected from proteomics to yield better disease markers for diagnosis and therapy monitoring. The advent of proteomics technologies for global detection and quantitation of proteins creates new opportunities and challenges for those seeking to gain greater understanding of diseases. High-throughput proteomics technologies combining with advanced bioinformatics are extensively used to identify molecular signatures of diseases based on protein pathways and signaling cascades. Mass spectrometry plays a vital role in proteomics and has become an indispensable tool for molecular and cellular biology. While the potential is great, many challenges and issues remain to be solved, such as mining low abundant proteins and integration of proteomics with genomics and metabolomics data. Nevertheless, proteomics is the foundation for constructing and extracting useful knowledge to biomedical research. In this review, a snapshot of contemporary issues in proteomics technologies is discussed.
蛋白质组学是对细胞中蛋白质及其相互作用的研究。随着人类基因组计划的完成，重点正转向人类机体的蛋白质组。由于蛋白质组能更准确地反映细胞、组织或机体的动态状态，人们对蛋白质组学寄予厚望，希望它能产生更好的疾病标志物用于诊断和治疗监测。用于蛋白质全局检测和定量的蛋白质组学技术的出现，为那些试图更深入了解疾病的人带来了新的机遇和挑战。结合先进生物信息学的高通量蛋白质组学技术被广泛用于基于蛋白质途径和信号级联来识别疾病的分子特征。质谱在蛋白质组学中起着至关重要的作用，已成为分子和细胞生物学不可或缺的工具。尽管潜力巨大，但仍有许多挑战和问题有待解决，比如挖掘低丰度蛋白质以及将蛋白质组学与基因组学和代谢组学数据整合。然而，蛋白质组学是生物医学研究构建和提取有用知识的基础。在这篇综述中，将讨论蛋白质组学技术的当代问题概况。
