RBP Image Database: A resource for the systematic characterization of the subcellular distribution properties of human RNA binding proteins

Abstract

RNA binding proteins (RBPs) are central regulators of gene expression implicated in all facets of RNA metabolism. As such, they play key roles in cellular physiology and disease etiology. Since different steps of post-transcriptional gene expression tend to occur in specific regions of the cell, including nuclear or cytoplasmic locations, defining the subcellular distribution properties of RBPs is an important step in assessing their potential functions. Here, we present the RBP Image Database, a resource that details the subcellular localization features of 301 RBPs in the human HepG2 and HeLa cell lines, based on the results of systematic immuno-fluorescence studies conducted using a highly validated collection of RBP antibodies and a panel of 12 markers for specific organelles and subcellular structures. The unique features of the RBP Image Database include: (i) hosting of comprehensive representative images for each RBP-marker pair, with ∼250,000 microscopy images; (ii) a manually curated controlled vocabulary of annotation terms detailing the localization features of each factor; and (iii) a user-friendly interface allowing the rapid querying of the data by target or annotation. The RBP Image Database is freely available at https://rnabiology.ircm.qc.ca/RBPImage/.

RNA-Binding Proteome Analysis and Functional Explorations★

“…然而具有 RBD 相似结构域的蛋 白并不一定与 RNA 有直接相互作用, 并且一些蛋白是 通过 IDR 与 RNA 结合, 很容易在模拟时被忽略 [15] . 另 一种 RBPs 的预测方法是基于蛋白-蛋白相互作用网络 完成的, 2017 年 Yeo 课题组 [62] 报道了新的 RBPs 预测方 法 SONAR (support vector machine obtained from neighborhood associated RBPs [63] . 上文中我们介绍到, RBP 能 够介导 RNA 的出核和转运, 并且参与 mRNA 在内质网 膜上的共翻译过程.…”