Carbonara Katrina, Andonovski Martin, Coorssen Jens R
Faculties of Applied Health Sciences and Mathematics & Science, Departments of Health Sciences and Biological Sciences, Brock University, 1812 Sir Isaac Brock Way, St. Catharines, ON L2S 3A1, Canada.
Proteomes. 2021 Aug 31;9(3):38. doi: 10.3390/proteomes9030038.
Proteomes are complex-much more so than genomes or transcriptomes. Thus, simplifying their analysis does not simplify the issue. Proteomes are of proteoforms, not canonical proteins. While having a catalogue of amino acid sequences provides invaluable information, this is the Proteome-lite. To dissect biological mechanisms and identify critical biomarkers/drug targets, we must assess the myriad of proteoforms that arise at any point before, after, and between translation and transcription (e.g., isoforms, splice variants, and post-translational modifications [PTM]), as well as newly defined species. There are numerous analytical methods currently used to address proteome depth and here we critically evaluate these in terms of the current 'state-of-the-field'. We thus discuss both pros and cons of available approaches and where improvements or refinements are needed to quantitatively characterize proteomes. To enable a next-generation approach, we suggest that advances lie in transdisciplinarity via integration of current proteomic methods to yield a unified discipline that capitalizes on the strongest qualities of each. Such a necessary (if not revolutionary) shift cannot be accomplished by a continued primary focus on proteo-genomics/-transcriptomics. We must embrace the complexity. Yes, these are the hard questions, and this will not be easy…but where is the fun in easy?
蛋白质组非常复杂,远比基因组或转录组复杂得多。因此,简化对它们的分析并不能简化问题。蛋白质组由蛋白质异构体组成,而非标准蛋白质。虽然拥有氨基酸序列目录能提供宝贵信息,但这只是简化版的蛋白质组。为剖析生物学机制并识别关键生物标志物/药物靶点,我们必须评估在翻译和转录之前、之后以及期间任何时刻出现的众多蛋白质异构体(例如,异构体、剪接变体和翻译后修饰[PTM]),以及新定义的种类。目前有多种分析方法用于研究蛋白质组深度,在此我们根据当前的“领域现状”对这些方法进行批判性评估。因此,我们讨论了现有方法的优缺点,以及在定量表征蛋白质组方面需要改进或完善的地方。为实现下一代方法,我们认为进展在于通过整合当前的蛋白质组学方法实现跨学科,从而形成一门统一的学科,充分利用每种方法的最强优势。这种必要的(即便不是革命性的)转变不能仅仅通过持续主要关注蛋白质基因组学/转录组学来实现。我们必须接受这种复杂性。没错,这些都是难题,而且这并不容易……但简单的事情又有什么乐趣呢?