Bioinformatics of simultaneous, quantitative measurements of full-length tRNA and tRNA fragments by MSR sequencing.

4区 生物学 Q3 Biochemistry, Genetics and Molecular Biology Methods in enzymology Pub Date : 2025-01-01 Epub Date: 2024-11-22 DOI:10.1016/bs.mie.2024.11.009
Luke R Frietze, Tao Pan
{"title":"Bioinformatics of simultaneous, quantitative measurements of full-length tRNA and tRNA fragments by MSR sequencing.","authors":"Luke R Frietze, Tao Pan","doi":"10.1016/bs.mie.2024.11.009","DOIUrl":null,"url":null,"abstract":"<p><p>tRNA fragments (tRFs) are generated by cellular endogenous ribonuclease cleavage and play important roles in cellular processes and diseases states. Many questions regarding tRF functions remain to be studied and understood. Common sequencing techniques measure tRF after a size selection step that separates the full-length tRNA and tRF before sequencing library construction. The crucial information on the relationship of tRFs to their respective full-length tRNA in the same biological sample cannot be obtained in this way. We developed multiplex small RNA sequencing (MSR-seq) which measures the abundance as well as site-specific modification information on both full-length tRNA and their matching tRFs in the same sample. Here we describe the bioinformatic steps to obtain the tRF abundance data from the MSR-seq data using the publicly available pipeline in Github (https://github.com/Luke-F1875/MSRseq_data_processing_pipeline).</p>","PeriodicalId":18662,"journal":{"name":"Methods in enzymology","volume":"711 ","pages":"312-323"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Methods in enzymology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/bs.mie.2024.11.009","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/11/22 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 0

Abstract

tRNA fragments (tRFs) are generated by cellular endogenous ribonuclease cleavage and play important roles in cellular processes and diseases states. Many questions regarding tRF functions remain to be studied and understood. Common sequencing techniques measure tRF after a size selection step that separates the full-length tRNA and tRF before sequencing library construction. The crucial information on the relationship of tRFs to their respective full-length tRNA in the same biological sample cannot be obtained in this way. We developed multiplex small RNA sequencing (MSR-seq) which measures the abundance as well as site-specific modification information on both full-length tRNA and their matching tRFs in the same sample. Here we describe the bioinformatic steps to obtain the tRF abundance data from the MSR-seq data using the publicly available pipeline in Github (https://github.com/Luke-F1875/MSRseq_data_processing_pipeline).

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
tRNA 片段(tRFs)由细胞内源性核糖核酸酶裂解产生,在细胞过程和疾病状态中发挥着重要作用。有关 tRF 功能的许多问题仍有待研究和了解。常见的测序技术是在测序文库构建之前,通过大小选择步骤分离全长 tRNA 和 tRF,然后测量 tRF。这种方法无法获得同一生物样本中 tRF 与各自全长 tRNA 关系的关键信息。我们开发了多重小 RNA 测序(MSR-seq)技术,可测量同一样本中全长 tRNA 及其匹配 tRF 的丰度和特定位点修饰信息。在此,我们介绍利用 Github 上公开的管道 (https://github.com/Luke-F1875/MSRseq_data_processing_pipeline) 从 MSR-seq 数据中获取 tRF 丰度数据的生物信息学步骤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Methods in enzymology
Methods in enzymology 生物-生化研究方法
CiteScore
2.90
自引率
0.00%
发文量
308
审稿时长
3-6 weeks
期刊介绍: The critically acclaimed laboratory standard for almost 50 years, Methods in Enzymology is one of the most highly respected publications in the field of biochemistry. Each volume is eagerly awaited, frequently consulted, and praised by researchers and reviewers alike. Now with over 500 volumes the series contains much material still relevant today and is truly an essential publication for researchers in all fields of life sciences, including microbiology, biochemistry, cancer research and genetics-just to name a few. Five of the 2013 Nobel Laureates have edited or contributed to volumes of MIE.
期刊最新文献
A probe-based capture enrichment method for detection of A-to-I editing in low abundance transcripts. Aptazyme-directed A-to-I RNA editing. Bioinformatic approaches for accurate assessment of A-to-I editing in complete transcriptomes. EndoVIA for quantifying A-to-I editing and mapping the subcellular localization of edited transcripts. Leveraging Saccharomyces cerevisiae for ADAR research: From high-yield purification to high-throughput screening and therapeutic applications.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1