Suppr超能文献

sORFs.org:一个通过核糖体分析鉴定出的小开放阅读框库。

sORFs.org: a repository of small ORFs identified by ribosome profiling.

作者信息

Olexiouk Volodimir, Crappé Jeroen, Verbruggen Steven, Verhegen Kenneth, Martens Lennart, Menschaert Gerben

机构信息

Lab of Bioinformatics and Computational Genomics (BioBix), Department of Mathematical Modelling, Statistics and Bioinformatics, Faculty of Bioscience Engineering, Ghent University, 9000 Ghent, Belgium

Lab of Bioinformatics and Computational Genomics (BioBix), Department of Mathematical Modelling, Statistics and Bioinformatics, Faculty of Bioscience Engineering, Ghent University, 9000 Ghent, Belgium.

出版信息

Nucleic Acids Res. 2016 Jan 4;44(D1):D324-9. doi: 10.1093/nar/gkv1175. Epub 2015 Nov 2.

Abstract

With the advent of ribosome profiling, a next generation sequencing technique providing a "snap-shot'' of translated mRNA in a cell, many short open reading frames (sORFs) with ribosomal activity were identified. Follow-up studies revealed the existence of functional peptides, so-called micropeptides, translated from these 'sORFs', indicating a new class of bio-active peptides. Over the last few years, several micropeptides exhibiting important cellular functions were discovered. However, ribosome occupancy does not necessarily imply an actual function of the translated peptide, leading to the development of various tools assessing the coding potential of sORFs. Here, we introduce sORFs.org (http://www.sorfs.org), a novel database for sORFs identified using ribosome profiling. Starting from ribosome profiling, sORFs.org identifies sORFs, incorporates state-of-the-art tools and metrics and stores results in a public database. Two query interfaces are provided, a default one enabling quick lookup of sORFs and a BioMart interface providing advanced query and export possibilities. At present, sORFs.org harbors 263 354 sORFs that demonstrate ribosome occupancy, originating from three different cell lines: HCT116 (human), E14_mESC (mouse) and S2 (fruit fly). sORFs.org aims to provide an extensive sORFs database accessible to researchers with limited bioinformatics knowledge, thus enabling easy integration into personal projects.

摘要

随着核糖体谱分析技术的出现,这是一种能提供细胞中翻译mRNA“快照”的新一代测序技术,许多具有核糖体活性的短开放阅读框(sORF)被识别出来。后续研究揭示了从这些“sORF”翻译而来的功能性肽(即所谓的微肽)的存在,这表明了一类新的生物活性肽。在过去几年中,发现了几种具有重要细胞功能的微肽。然而,核糖体占有率并不一定意味着翻译后的肽具有实际功能,这促使人们开发了各种评估sORF编码潜力的工具。在这里,我们介绍sORFs.org(http://www.sorfs.org),这是一个使用核糖体谱分析识别出的sORF的新型数据库。从核糖体谱分析开始,sORFs.org识别sORF,整合最先进的工具和指标,并将结果存储在一个公共数据库中。提供了两个查询界面,一个默认界面可实现对sORF的快速查找,另一个BioMart界面提供高级查询和导出功能。目前,sORFs.org包含263354个显示核糖体占有率的sORF,它们来自三种不同的细胞系:HCT116(人类)、E14_mESC(小鼠)和S2(果蝇)。sORFs.org旨在为生物信息学知识有限的研究人员提供一个广泛的sORF数据库,从而便于将其轻松整合到个人项目中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58e6/4702841/bd00a2160bc5/gkv1175fig1.jpg

相似文献

3
Using the sORFs.Org Database.使用sORFs.Org数据库。
Curr Protoc Bioinformatics. 2019 Mar;65(1):e68. doi: 10.1002/cpbi.68. Epub 2018 Nov 28.
9
Viral Short ORFs and Their Possible Functions.病毒短开放阅读框及其可能的功能。
Proteomics. 2018 May;18(10):e1700255. doi: 10.1002/pmic.201700255. Epub 2018 Jan 19.
10
Mining for missed sORF-encoded peptides.挖掘缺失的短开放阅读框编码肽。
Expert Rev Proteomics. 2019 Mar;16(3):257-266. doi: 10.1080/14789450.2019.1571919. Epub 2019 Feb 13.

引用本文的文献

3
Eukaryotic Microproteins.真核生物微小蛋白
Annu Rev Biochem. 2025 Jun;94(1):1-28. doi: 10.1146/annurev-biochem-080124-012840. Epub 2025 Apr 17.

本文引用的文献

5
Ensembl 2015.Ensembl 2015.
Nucleic Acids Res. 2015 Jan;43(Database issue):D662-9. doi: 10.1093/nar/gku1010. Epub 2014 Oct 28.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验