Institute of Biomedical Chemistry, Moscow 119281, Russia.
X-BIO Institute, University of Tyumen, 6 Volodarskogo St., Tyumen 625003, Russia.
Int J Mol Sci. 2023 Jan 20;24(3):2081. doi: 10.3390/ijms24032081.
The continuous improvement of proteomic techniques, most notably mass spectrometry, has generated quantified proteomes of many organisms with unprecedented depth and accuracy. However, there is still a significant discrepancy in the reported numbers of total protein molecules per specific cell type. In this article, we explore the results of proteomic studies of , , and HeLa cells in terms of total protein copy numbers per cell. We observe up to a ten-fold difference between reported values. Investigating possible reasons for this discrepancy, we conclude that neither an unmeasured fraction of the proteome nor biases in the quantification of individual proteins can explain the observed discrepancy. We normalize protein copy numbers in each study using a total protein amount per cell as reported in the literature and create integrated proteome maps of the selected model organisms. Our results indicate that cells contain from one to three million protein molecules per µm and that protein copy density decreases with increasing organism complexity.
蛋白质组学技术的不断进步,尤其是质谱技术,已经以前所未有的深度和准确性生成了许多生物体的定量蛋白质组。然而,在报告的特定细胞类型的总蛋白分子数量方面,仍存在显著差异。在本文中,我们根据每个细胞的总蛋白拷贝数,探讨了,, 和 HeLa 细胞的蛋白质组学研究结果。我们观察到报告值之间存在高达十倍的差异。研究这种差异的可能原因后,我们得出的结论是,未测量的蛋白质组部分或单个蛋白质定量的偏差都不能解释观察到的差异。我们使用文献中报道的每个研究中每个细胞的总蛋白量对蛋白质拷贝数进行归一化,并创建选定模型生物的综合蛋白质组图谱。我们的结果表明,每个细胞含有百万到千万个蛋白质分子,并且蛋白质拷贝密度随着生物体复杂性的增加而降低。