Key Laboratory of Molecular Biophysics of Ministry of Education, Hubei Bioinformatics and Molecular Imaging Key Laboratory, Center for Artificial Intelligence Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
Cells. 2022 Jun 24;11(13):2018. doi: 10.3390/cells11132018.
Programmed cell death (PCD) is an essential biological process involved in many human pathologies. According to the continuous discovery of new PCD forms, a large number of proteins have been found to regulate PCD. Notably, post-translational modifications play critical roles in PCD process and the rapid advances in proteomics have facilitated the discovery of new PCD proteins. However, an integrative resource has yet to be established for maintaining these regulatory proteins. Here, we briefly summarize the mainstream PCD forms, as well as the current progress in the development of public databases to collect, curate and annotate PCD proteins. Further, we developed a comprehensive database, with integrated annotations for programmed cell death (iPCD), which contained 1,091,014 regulatory proteins involved in 30 PCD forms across 562 eukaryotic species. From the scientific literature, we manually collected 6493 experimentally identified PCD proteins, and an orthologous search was then conducted to computationally identify more potential PCD proteins. Additionally, we provided an in-depth annotation of PCD proteins in eight model organisms, by integrating the knowledge from 102 additional resources that covered 16 aspects, including post-translational modification, protein expression/proteomics, genetic variation and mutation, functional annotation, structural annotation, physicochemical property, functional domain, disease-associated information, protein-protein interaction, drug-target relation, orthologous information, biological pathway, transcriptional regulator, mRNA expression, subcellular localization and DNA and RNA element. With a data volume of 125 GB, we anticipate that iPCD can serve as a highly useful resource for further analysis of PCD in eukaryotes.
程序性细胞死亡 (PCD) 是涉及许多人类病理学的重要生物学过程。根据对新的 PCD 形式的不断发现,已经发现大量蛋白质来调节 PCD。值得注意的是,翻译后修饰在 PCD 过程中起着关键作用,蛋白质组学的快速发展促进了新的 PCD 蛋白的发现。然而,尚未建立一个整合资源来维持这些调节蛋白。在这里,我们简要总结了主流的 PCD 形式,以及目前开发公共数据库以收集、整理和注释 PCD 蛋白的进展。此外,我们开发了一个全面的数据库,即程序性细胞死亡综合注释数据库(iPCD),其中包含了涉及 562 个真核生物 30 种 PCD 形式的 1,091,014 种调节蛋白。从科学文献中,我们手动收集了 6493 种经实验鉴定的 PCD 蛋白,并进行了同源搜索以计算鉴定更多潜在的 PCD 蛋白。此外,我们通过整合来自 102 个涵盖 16 个方面的额外资源的知识,对 8 种模式生物中的 PCD 蛋白进行了深入注释,这些方面包括翻译后修饰、蛋白质表达/蛋白质组学、遗传变异和突变、功能注释、结构注释、理化性质、功能域、疾病相关信息、蛋白质-蛋白质相互作用、药物-靶标关系、同源信息、生物途径、转录调节剂、mRNA 表达、亚细胞定位和 DNA 和 RNA 元件。我们的数据量为 125GB,预计 iPCD 将成为进一步分析真核生物 PCD 的非常有用的资源。