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qPTMplants:一个植物中定量翻译后修饰的综合数据库。

qPTMplants: an integrative database of quantitative post-translational modifications in plants.

机构信息

School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China.

State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.

出版信息

Nucleic Acids Res. 2022 Jan 7;50(D1):D1491-D1499. doi: 10.1093/nar/gkab945.

DOI:10.1093/nar/gkab945
PMID:34718741
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8728288/
Abstract

As a crucial molecular mechanism, post-translational modifications (PTMs) play critical roles in a wide range of biological processes in plants. Recent advances in mass spectrometry-based proteomic technologies have greatly accelerated the profiling and quantification of plant PTM events. Although several databases have been constructed to store plant PTM data, a resource including more plant species and more PTM types with quantitative dynamics still remains to be developed. In this paper, we present an integrative database of quantitative PTMs in plants named qPTMplants (http://qptmplants.omicsbio.info), which hosts 1 242 365 experimentally identified PTM events for 429 821 nonredundant sites on 123 551 proteins under 583 conditions for 23 PTM types in 43 plant species from 293 published studies, with 620 509 quantification events for 136 700 PTM sites on 55 361 proteins under 354 conditions. Moreover, the experimental details, such as conditions, samples, instruments and methods, were manually curated, while a variety of annotations, including the sequence and structural characteristics, were integrated into qPTMplants. Then, various search and browse functions were implemented to access the qPTMplants data in a user-friendly manner. Overall, we anticipate that the qPTMplants database will be a valuable resource for further research on PTMs in plants.

摘要

作为一种关键的分子机制,翻译后修饰(PTMs)在植物的广泛的生物过程中发挥着关键作用。基于质谱的蛋白质组学技术的最新进展极大地加速了植物 PTM 事件的分析和定量。尽管已经构建了几个数据库来存储植物 PTM 数据,但仍需要开发一个包含更多植物物种和更多 PTM 类型的定量动态信息的资源。在本文中,我们提出了一个名为 qPTMplants(http://qptmplants.omicsbio.info)的植物定量 PTM 综合数据库,该数据库包含了 123551 个蛋白质上的 429821 个非冗余位点的 1242365 个实验鉴定的 PTM 事件,这些位点来自 43 种植物中的 293 个已发表研究,涵盖了 583 种条件下的 23 种 PTM 类型,其中有 55361 个蛋白质上的 136700 个 PTM 位点有 620509 个定量事件。此外,实验细节,如条件、样本、仪器和方法,都经过人工整理,而各种注释,包括序列和结构特征,也被整合到 qPTMplants 中。然后,实现了各种搜索和浏览功能,以便以用户友好的方式访问 qPTMplants 数据。总的来说,我们预计 qPTMplants 数据库将成为进一步研究植物 PTM 的有价值的资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6778/8728288/abc52c2b0d81/gkab945fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6778/8728288/710b0d912acb/gkab945fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6778/8728288/11a0ab0e2c9e/gkab945fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6778/8728288/dd5021d94121/gkab945fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6778/8728288/986ac9adf19e/gkab945fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6778/8728288/6339d3b69807/gkab945fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6778/8728288/abc52c2b0d81/gkab945fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6778/8728288/710b0d912acb/gkab945fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6778/8728288/11a0ab0e2c9e/gkab945fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6778/8728288/dd5021d94121/gkab945fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6778/8728288/986ac9adf19e/gkab945fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6778/8728288/6339d3b69807/gkab945fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6778/8728288/abc52c2b0d81/gkab945fig6.jpg

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