1. Academic Validation
  2. Nuclear-m6A-Label-Seq Enables Transcriptome-Wide Nuclear m6A Profiling at Single-Base Resolution

Nuclear-m6A-Label-Seq Enables Transcriptome-Wide Nuclear m6A Profiling at Single-Base Resolution

  • ACS Chem Biol. 2026 Mar 20;21(3):613-625. doi: 10.1021/acschembio.6c00014.
Chenyang Huang 1 Xiner Ying 1 Xiao Shu 2 Jianzhao Liu 1 3 4
Affiliations

Affiliations

  • 1 MOE Key Laboratory of Macromolecular Synthesis and Functionalization, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou 310058, China.
  • 2 College of Materials and Chemistry & Chemical Engineering, Chengdu University of Technology, Chengdu 610059, China.
  • 3 Life Sciences Institute, Zhejiang University, Hangzhou 310058, China.
  • 4 State Key Laboratory of Transvascular Implantation Devices, Hangzhou 310058, China.
Abstract

N6-Methyladenosine (m6A) on mature mRNA has been extensively characterized, yet its precise mapping and functions in nuclear noncoding RNAs remain elusive. To address this issue, we recently developed Nuclear-m6A-label-seq, a metabolic labeling-based method for transcriptome-wide nuclear m6A profiling at single-base resolution. This approach builds on the prototypical m6A-label-seq principle, in which an allyl group, instead of methyl group, is metabolically installed at N6-position at supposed RNA m6A-generating adenosines and the resultant N6-allyl adenosine is subsequently converted into 1, N6-cyclized adenosine (cyc-A) by mild iodination reaction. During RNA reverse transcription, HIV Reverse Transcriptase is employed to introduce a base misincorporation at cyc-A sites while enabling a template switch to incorporate adapter sequences to the complementary DNA end in a single step. Through this strategy, library construction is shortened to about 6 h, and the required cell-labeling total RNA input is reduced to 5 μg of total nuclear RNA, representing a 100-fold reduction compared to the prototypical protocol. Both polyadenylated and nonpolyadenylated nuclear transcripts are captured through the sequential nuclear RNA isolation and rRNA depletion. Following high-throughput Sequencing, reads from human cells are aligned with the complete T2T-CHM13 genome, enabling accurate mapping of repetitive regions. Aligned reads are then analyzed using the user-friendly rMATS-DVR pipeline to identify high-confidence m6A sites based on cyc-A-induced misincorporation patterns. Here, we provide a detailed step-by-step protocol for Nuclear-m6A-label-seq, which stands for a direct and high-resolution approach for profiling the nuclear m6A epitranscriptome.

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