Protocol for mapping 2′-O-methylation using nanopore direct RNA-seq data with NanoNm

Summary: 2'-O-methylation (Nm) is pivotal in rRNA and the internal site of mRNA. Here, we present an integrated bioinformatics protocol for the identification of 2′-O-methylation using nanopore direct RNA sequencing (RNA-seq) data. We describe steps for software installation, data collection, a...

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Main Authors: Yanqiang Li, Jiayi Chen, Yunxia Wang, Dean Li, Jiahan Li, Yang Yi, Lili Zhang, Qi Cao, Kaifu Chen
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:STAR Protocols
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Online Access:http://www.sciencedirect.com/science/article/pii/S2666166725004095
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author Yanqiang Li
Jiayi Chen
Yunxia Wang
Dean Li
Jiahan Li
Yang Yi
Lili Zhang
Qi Cao
Kaifu Chen
author_facet Yanqiang Li
Jiayi Chen
Yunxia Wang
Dean Li
Jiahan Li
Yang Yi
Lili Zhang
Qi Cao
Kaifu Chen
author_sort Yanqiang Li
collection DOAJ
description Summary: 2'-O-methylation (Nm) is pivotal in rRNA and the internal site of mRNA. Here, we present an integrated bioinformatics protocol for the identification of 2′-O-methylation using nanopore direct RNA sequencing (RNA-seq) data. We describe steps for software installation, data collection, and training the machine learning model. We then detail procedures for mapping 2′-O-methylation in both rRNA and mRNA in yeast and human cells.For complete details on the use and execution of this protocol, please refer to Li et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
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institution Kabale University
issn 2666-1667
language English
publishDate 2025-09-01
publisher Elsevier
record_format Article
series STAR Protocols
spelling doaj-art-b6f0b1fcf2d94f24bedbe27748e50af22025-08-20T03:33:35ZengElsevierSTAR Protocols2666-16672025-09-016310400310.1016/j.xpro.2025.104003Protocol for mapping 2′-O-methylation using nanopore direct RNA-seq data with NanoNmYanqiang Li0Jiayi Chen1Yunxia Wang2Dean Li3Jiahan Li4Yang Yi5Lili Zhang6Qi Cao7Kaifu Chen8Basic and Translational Research Division, Department of Cardiology, Boston Children’s Hospital, Boston, MA 02115, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA; Corresponding authorBasic and Translational Research Division, Department of Cardiology, Boston Children’s Hospital, Boston, MA 02115, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USABasic and Translational Research Division, Department of Cardiology, Boston Children’s Hospital, Boston, MA 02115, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USABasic and Translational Research Division, Department of Cardiology, Boston Children’s Hospital, Boston, MA 02115, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USABasic and Translational Research Division, Department of Cardiology, Boston Children’s Hospital, Boston, MA 02115, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA; Commonwealth School, Boston, MA 02116, USADepartment of Urology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA; Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL, USABasic and Translational Research Division, Department of Cardiology, Boston Children’s Hospital, Boston, MA 02115, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USADepartment of Urology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA; Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL, USABasic and Translational Research Division, Department of Cardiology, Boston Children’s Hospital, Boston, MA 02115, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Boston, MA 02215, USA; Dana-Farber/Harvard Cancer Center, Boston, MA 02215, USA; Corresponding authorSummary: 2'-O-methylation (Nm) is pivotal in rRNA and the internal site of mRNA. Here, we present an integrated bioinformatics protocol for the identification of 2′-O-methylation using nanopore direct RNA sequencing (RNA-seq) data. We describe steps for software installation, data collection, and training the machine learning model. We then detail procedures for mapping 2′-O-methylation in both rRNA and mRNA in yeast and human cells.For complete details on the use and execution of this protocol, please refer to Li et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.http://www.sciencedirect.com/science/article/pii/S2666166725004095BioinformaticsGenomicsRNA-seq
spellingShingle Yanqiang Li
Jiayi Chen
Yunxia Wang
Dean Li
Jiahan Li
Yang Yi
Lili Zhang
Qi Cao
Kaifu Chen
Protocol for mapping 2′-O-methylation using nanopore direct RNA-seq data with NanoNm
STAR Protocols
Bioinformatics
Genomics
RNA-seq
title Protocol for mapping 2′-O-methylation using nanopore direct RNA-seq data with NanoNm
title_full Protocol for mapping 2′-O-methylation using nanopore direct RNA-seq data with NanoNm
title_fullStr Protocol for mapping 2′-O-methylation using nanopore direct RNA-seq data with NanoNm
title_full_unstemmed Protocol for mapping 2′-O-methylation using nanopore direct RNA-seq data with NanoNm
title_short Protocol for mapping 2′-O-methylation using nanopore direct RNA-seq data with NanoNm
title_sort protocol for mapping 2 o methylation using nanopore direct rna seq data with nanonm
topic Bioinformatics
Genomics
RNA-seq
url http://www.sciencedirect.com/science/article/pii/S2666166725004095
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