Matzinger Manuel, Mayer Rupert L, Mechtler Karl
Research Institute of Molecular Pathology (IMP), Vienna BioCenter, Vienna, Austria.
Gregor Mendel Institute of Molecular Plant Biology (GMI), Austrian Academy of Sciences, Vienna BioCenter (VBC), Vienna, Austria.
Proteomics. 2023 Jul;23(13-14):e2200162. doi: 10.1002/pmic.202200162. Epub 2023 Mar 1.
The ability to map a proteomic fingerprint to transcriptomic data would master the understanding of how gene expression translates into actual phenotype. In contrast to nucleic acid sequencing, in vitro protein amplification is impossible and no single cell proteomic workflow has been established as gold standard yet. Advances in microfluidic sample preparation, multi-dimensional sample separation, sophisticated data acquisition strategies, and intelligent data analysis algorithms have resulted in major improvements to successfully analyze such tiny sample amounts with steadily boosted performance. However, among the broad variation of published approaches, it is commonly accepted that highest possible sensitivity, robustness, and throughput are still the most urgent needs for the field. While many labs have focused on multiplexing to achieve these goals, label-free SCP is a highly promising strategy as well whenever high dynamic range and unbiased accurate quantification are needed. We here focus on recent advances in label-free single-cell mass spectrometry workflows and try to guide our readers to choose the best method or combinations of methods for their specific applications. We further highlight which techniques are most propitious in the future and which applications but also limitations we foresee for the field.
将蛋白质组指纹图谱与转录组数据进行映射的能力,将有助于深入理解基因表达如何转化为实际表型。与核酸测序不同,体外蛋白质扩增是不可能的,而且尚未建立单一细胞蛋白质组工作流程作为金标准。微流控样品制备、多维样品分离、复杂的数据采集策略和智能数据分析算法的进展,已带来重大改进,从而能够成功分析如此微量的样品,并不断提高性能。然而,在已发表方法的广泛差异中,人们普遍认为,尽可能高的灵敏度、稳健性和通量仍然是该领域最迫切的需求。虽然许多实验室专注于多重分析以实现这些目标,但每当需要高动态范围和无偏准确量化时,无标记单细胞蛋白质组学也是一种很有前景的策略。我们在此关注无标记单细胞质谱工作流程的最新进展,并试图引导读者为其特定应用选择最佳方法或方法组合。我们还将进一步强调哪些技术在未来最具优势,以及我们预见到该领域的哪些应用和局限性。