Literature DB >> 33413586

Quantitative profiling of N6-methyladenosine at single-base resolution in stem-differentiating xylem of Populus trichocarpa using Nanopore direct RNA sequencing.

Yubang Gao1, Xuqing Liu2, Bizhi Wu2, Huihui Wang2, Feihu Xi1, Markus V Kohnen1, Anireddy S N Reddy3, Lianfeng Gu4.   

Abstract

There are no comprehensive methods to identify N6-methyladenosine (m6A) at single-base resolution for every single transcript, which is necessary for the estimation of m6A abundance. We develop a new pipeline called Nanom6A for the identification and quantification of m6A modification at single-base resolution using Nanopore direct RNA sequencing based on an XGBoost model. We validate our method using methylated RNA immunoprecipitation sequencing (MeRIP-Seq) and m6A-sensitive RNA-endoribonuclease-facilitated sequencing (m6A-REF-seq), confirming high accuracy. Using this method, we provide a transcriptome-wide quantification of m6A modification in stem-differentiating xylem and reveal that different alternative polyadenylation (APA) usage shows a different ratio of m6A.

Entities:  

Keywords:  Alternative polyadenylation; N 6-Methyladenosine; Nanopore direct RNA sequencing; Populus trichocarpa; Stem-differentiating xylem

Year:  2021        PMID: 33413586      PMCID: PMC7791831          DOI: 10.1186/s13059-020-02241-7

Source DB:  PubMed          Journal:  Genome Biol        ISSN: 1474-7596            Impact factor:   13.583


  34 in total

1.  clusterProfiler: an R package for comparing biological themes among gene clusters.

Authors:  Guangchuang Yu; Li-Gen Wang; Yanyan Han; Qing-Yu He
Journal:  OMICS       Date:  2012-03-28

Review 2.  Messenger RNA Modifications in Plants.

Authors:  Lisha Shen; Zhe Liang; Chui Eng Wong; Hao Yu
Journal:  Trends Plant Sci       Date:  2019-02-08       Impact factor: 18.313

3.  Transcriptome-wide mapping of N(6)-methyladenosine by m(6)A-seq based on immunocapturing and massively parallel sequencing.

Authors:  Dan Dominissini; Sharon Moshitch-Moshkovitz; Mali Salmon-Divon; Ninette Amariglio; Gideon Rechavi
Journal:  Nat Protoc       Date:  2013-01-03       Impact factor: 13.491

4.  Exome-based analysis for RNA epigenome sequencing data.

Authors:  Jia Meng; Xiaodong Cui; Manjeet K Rao; Yidong Chen; Yufei Huang
Journal:  Bioinformatics       Date:  2013-04-14       Impact factor: 6.937

5.  Single-nucleotide-resolution mapping of m6A and m6Am throughout the transcriptome.

Authors:  Bastian Linder; Anya V Grozhik; Anthony O Olarerin-George; Cem Meydan; Christopher E Mason; Samie R Jaffrey
Journal:  Nat Methods       Date:  2015-06-29       Impact factor: 28.547

6.  Reading canonical and modified nucleobases in 16S ribosomal RNA using nanopore native RNA sequencing.

Authors:  Andrew M Smith; Miten Jain; Logan Mulroney; Daniel R Garalde; Mark Akeson
Journal:  PLoS One       Date:  2019-05-16       Impact factor: 3.240

7.  A comprehensive examination of Nanopore native RNA sequencing for characterization of complex transcriptomes.

Authors:  Charlotte Soneson; Yao Yao; Anna Bratus-Neuenschwander; Andrea Patrignani; Mark D Robinson; Shobbir Hussain
Journal:  Nat Commun       Date:  2019-07-31       Impact factor: 14.919

8.  Nanopore native RNA sequencing of a human poly(A) transcriptome.

Authors:  Rachael E Workman; Alison D Tang; Paul S Tang; Miten Jain; John R Tyson; Roham Razaghi; Philip C Zuzarte; Timothy Gilpatrick; Alexander Payne; Joshua Quick; Norah Sadowski; Nadine Holmes; Jaqueline Goes de Jesus; Karen L Jones; Cameron M Soulette; Terrance P Snutch; Nicholas Loman; Benedict Paten; Matthew Loose; Jared T Simpson; Hugh E Olsen; Angela N Brooks; Mark Akeson; Winston Timp
Journal:  Nat Methods       Date:  2019-11-18       Impact factor: 28.547

9.  Perturbation of m6A writers reveals two distinct classes of mRNA methylation at internal and 5' sites.

Authors:  Schraga Schwartz; Maxwell R Mumbach; Marko Jovanovic; Tim Wang; Karolina Maciag; G Guy Bushkin; Philipp Mertins; Dmitry Ter-Ovanesyan; Naomi Habib; Davide Cacchiarelli; Neville E Sanjana; Elizaveta Freinkman; Michael E Pacold; Rahul Satija; Tarjei S Mikkelsen; Nir Hacohen; Feng Zhang; Steven A Carr; Eric S Lander; Aviv Regev
Journal:  Cell Rep       Date:  2014-06-26       Impact factor: 9.423

10.  Wood Transcriptome Profiling Identifies Critical Pathway Genes of Secondary Wall Biosynthesis and Novel Regulators for Vascular Cambium Development in Populus.

Authors:  Min-Ha Kim; Jin-Seong Cho; Hyung-Woo Jeon; Kanidta Sangsawang; Donghwan Shim; Young-Im Choi; Eung-Jun Park; Hyoshin Lee; Jae-Heung Ko
Journal:  Genes (Basel)       Date:  2019-09-07       Impact factor: 4.096

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  15 in total

Review 1.  Function of m6A and its regulation of domesticated animals' complex traits.

Authors:  Siyuan Mi; Yuanjun Shi; Gerile Dari; Ying Yu
Journal:  J Anim Sci       Date:  2022-03-01       Impact factor: 3.159

Review 2.  Nanopore sequencing technology, bioinformatics and applications.

Authors:  Yunhao Wang; Yue Zhao; Audrey Bollas; Yuru Wang; Kin Fai Au
Journal:  Nat Biotechnol       Date:  2021-11-08       Impact factor: 54.908

3.  Geographic encoding of transcripts enabled high-accuracy and isoform-aware deep learning of RNA methylation.

Authors:  Daiyun Huang; Kunqi Chen; Bowen Song; Zhen Wei; Jionglong Su; Frans Coenen; João Pedro de Magalhães; Daniel J Rigden; Jia Meng
Journal:  Nucleic Acids Res       Date:  2022-10-14       Impact factor: 19.160

4.  Drought induces epitranscriptome and proteome changes in stem-differentiating xylem of Populus trichocarpa.

Authors:  Yubang Gao; Xuqing Liu; Yandong Jin; Ji Wu; Shuang Li; Yaxing Li; Binqing Chen; Yaxin Zhang; Linxiao Wei; Wei Li; Ruili Li; Chentao Lin; Anireddy S N Reddy; Pankaj Jaiswal; Lianfeng Gu
Journal:  Plant Physiol       Date:  2022-08-29       Impact factor: 8.005

Review 5.  Nanopore-Based Detection of Viral RNA Modifications.

Authors:  Jonathan S Abebe; Ruth Verstraten; Daniel P Depledge
Journal:  mBio       Date:  2022-05-17       Impact factor: 7.786

Review 6.  Detection technologies for RNA modifications.

Authors:  Yan Zhang; Liang Lu; Xiaoyu Li
Journal:  Exp Mol Med       Date:  2022-10-21       Impact factor: 12.153

7.  DENA: training an authentic neural network model using Nanopore sequencing data of Arabidopsis transcripts for detection and quantification of N6-methyladenosine on RNA.

Authors:  Hang Qin; Liang Ou; Jian Gao; Longxian Chen; Jia-Wei Wang; Pei Hao; Xuan Li
Journal:  Genome Biol       Date:  2022-01-17       Impact factor: 13.583

Review 8.  Applications and potentials of nanopore sequencing in the (epi)genome and (epi)transcriptome era.

Authors:  Shangqian Xie; Amy Wing-Sze Leung; Zhenxian Zheng; Dake Zhang; Chuanle Xiao; Ruibang Luo; Ming Luo; Shoudong Zhang
Journal:  Innovation (Camb)       Date:  2021-08-11

Review 9.  Computational methods for RNA modification detection from nanopore direct RNA sequencing data.

Authors:  Mattia Furlan; Anna Delgado-Tejedor; Logan Mulroney; Mattia Pelizzola; Eva Maria Novoa; Tommaso Leonardi
Journal:  RNA Biol       Date:  2021-09-24       Impact factor: 4.652

10.  RNA modifications detection by comparative Nanopore direct RNA sequencing.

Authors:  Adrien Leger; Paulo P Amaral; Luca Pandolfini; Charlotte Capitanchik; Federica Capraro; Valentina Miano; Valentina Migliori; Patrick Toolan-Kerr; Theodora Sideri; Anton J Enright; Konstantinos Tzelepis; Folkert J van Werven; Nicholas M Luscombe; Isaia Barbieri; Jernej Ule; Tomas Fitzgerald; Ewan Birney; Tommaso Leonardi; Tony Kouzarides
Journal:  Nat Commun       Date:  2021-12-10       Impact factor: 14.919

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