Unidade de Investigação Cardiovascular, Departamento de Cirurgia e Fisiologia, Faculdade de Medicina da Universidade do Porto, 4200-319 Porto, Portugal.
Instituto de Biomedicina, Department of Medical Sciences, University of Aveiro, 3810-193 Aveiro, Portugal.
Proteomics. 2018 Sep;18(18):e1800187. doi: 10.1002/pmic.201800187.
The comprehension of how protease networks sculpt proteomes might help to disclose the functional annotation of the peptidome in health and disease. Envisioning to add new insights on the protease networks involved in the regulation of body fluid peptidomes, the authors apply Proteasix software to predict the proteases involved in the generation of the naturally occurring peptides present in six of the most studied human body fluids. Peptidome data is collected from the databases and from experimental studies. The analysis highlights 132 putative proteases from four families with the predominance of serine proteases and metalloproteases. From these, 49 proteases seem to be common to all fluids and are mostly associated to extracellular matrix organization as well as protein/peptide hormone processing. Data analysis also emphasizes: i) the similarity between plasma and CSF protease profiles; ii) that saliva and tears share proteases involved in the generation of peptides with antimicrobial activity; iii) that urine is the body fluid with the highest number of unique putative proteases, precluding an easy tracing of proteolytic events in this case. Taken together, the analysis emphasizes the intricate modus operandi of proteases, challenged by the interconnected pathways and amplification cascades in which they are involved.
蛋白酶网络如何塑造蛋白质组的理解,可能有助于揭示肽组在健康和疾病中的功能注释。为了在调节体液肽组的蛋白酶网络方面增加新的见解,作者应用 Proteasix 软件来预测参与生成存在于六种最受研究的人体液中的天然肽的蛋白酶。肽组数据来自数据库和实验研究收集。分析突出了来自四个家族的 132 种假定的蛋白酶,其中丝氨酸蛋白酶和金属蛋白酶占主导地位。其中,49 种蛋白酶似乎存在于所有液体中,并且主要与细胞外基质组织以及蛋白质/肽激素处理有关。数据分析还强调:i)血浆和 CSF 蛋白酶谱之间的相似性;ii)唾液和眼泪具有参与生成具有抗菌活性的肽的共同蛋白酶;iii)尿液是具有最高数量独特假定蛋白酶的体液,这使得在这种情况下追踪蛋白水解事件变得复杂。总之,分析强调了蛋白酶错综复杂的作用方式,它们所涉及的相互关联的途径和放大级联对其构成了挑战。