Feizi Amir, Gatto Francesco, Uhlen Mathias, Nielsen Jens
Department of Biology and Biological Engineering, Kemivägen 10, Chalmers University of Technology, SE41296 Gothenburg, Sweden.
Novo Nordisk Foundation Center for Biosustainability, Chalmers University of Technology, SE41296 Gothenburg, Sweden.
NPJ Syst Biol Appl. 2017 Aug 18;3:22. doi: 10.1038/s41540-017-0021-4. eCollection 2017.
Protein secretory pathway in eukaryal cells is responsible for delivering functional secretory proteins. The dysfunction of this pathway causes a range of important human diseases from congenital disorders to cancer. Despite the piled-up knowledge on the molecular biology and biochemistry level, the tissue-specific expression of the secretory pathway genes has not been analyzed on the transcriptome level. Based on the recent RNA-sequencing studies, the largest fraction of tissue-specific transcriptome encodes for the secretome (secretory proteins). Here, the question arises that if the expression levels of the secretory pathway genes have a tissue-specific tuning. In this study, we tackled this question by performing a meta-analysis of the recently published transcriptome data on human tissues. As a result, we detected 68 as called "extreme genes" which show an unusual expression pattern in specific gene families of the secretory pathway. We also inspected the potential functional link between detected extreme genes and the corresponding tissues enriched secretome. As a result, the detected extreme genes showed correlation with the enrichment of the nature and number of specific post-translational modifications in each tissue's secretome. Our findings conciliate both the housekeeping and tissue-specific nature of the protein secretory pathway, which we attribute to a fine-tuned regulation of defined gene families to support the diversity of secreted proteins and their modifications.
真核细胞中的蛋白质分泌途径负责输送功能性分泌蛋白。该途径的功能障碍会引发一系列重要的人类疾病,从先天性疾病到癌症。尽管在分子生物学和生物化学层面已有大量知识积累,但分泌途径基因的组织特异性表达在转录组水平上尚未得到分析。基于最近的RNA测序研究,组织特异性转录组的最大部分编码分泌组(分泌蛋白)。在此,出现了一个问题,即分泌途径基因的表达水平是否具有组织特异性调控。在本研究中,我们通过对最近发表的人类组织转录组数据进行荟萃分析来解决这个问题。结果,我们检测到68个被称为“极端基因”的基因,它们在分泌途径的特定基因家族中表现出异常的表达模式。我们还检查了检测到的极端基因与相应组织中富集的分泌组之间的潜在功能联系。结果,检测到的极端基因与每个组织分泌组中特定翻译后修饰的性质和数量的富集相关。我们的发现调和了蛋白质分泌途径的管家性质和组织特异性性质,我们将其归因于对特定基因家族的精细调控,以支持分泌蛋白及其修饰的多样性。