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Related Experiment Video

Updated: Dec 10, 2025

A Method for Measuring RNA N6-methyladenosine Modifications in Cells and Tissues
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A Method for Measuring RNA N6-methyladenosine Modifications in Cells and Tissues

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im6A-TS-CNN: Identifying the N6-Methyladenine Site in Multiple Tissues by Using the Convolutional Neural Network.

Kewei Liu1, Lei Cao1, Pufeng Du2

  • 1School of Life Sciences, Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan 063210, China.

Molecular Therapy. Nucleic Acids
|August 29, 2020
PubMed
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Correction: Dai et al. Mallotucin D, a Clerodane Diterpenoid from <i>Croton crassifolius</i>, Suppresses HepG2 Cell Growth via Inducing Autophagic Cell Death and Pyroptosis. <i>Int. J. Mol. Sci.</i> 2022, <i>23</i>, 14217.

International journal of molecular sciences·2026

This study introduces im6A-TS-CNN, a novel computational method using convolutional neural networks (CNNs) to accurately identify N⁶-methyladenosine (m⁶A) sites across various tissues and species, improving upon existing techniques.

Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • N⁶-methyladenosine (m⁶A) is the most prevalent epitranscriptomic modification, crucial for regulating gene expression and cellular functions.
  • Accurate m⁶A site identification is vital for understanding its role in biological processes and disease pathogenesis.
  • Existing methods often lack the capability to detect m⁶A sites across diverse tissues due to spatial specificity.

Purpose of the Study:

  • To develop a novel computational method for identifying m⁶A sites with high accuracy across multiple tissues and species.
  • To address the limitations of current m⁶A detection methods concerning tissue specificity.
  • To provide a tool for researchers studying the functional and disease-related implications of m⁶A modifications.

Main Methods:

Keywords:
convolution neural networkm6Aone-hot encodingspatial specificity of gene expression

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  • Development of im6A-TS-CNN, a deep learning model based on Convolutional Neural Networks (CNNs).
  • Utilized one-hot encoding for representing sequence samples.
  • Validated the model using 5-fold cross-validation and independent dataset testing.

Main Results:

  • im6A-TS-CNN demonstrated superior performance in identifying m⁶A sites compared to existing methods.
  • The model successfully identified m⁶A sites in brain, liver, kidney, heart, and testis tissues.
  • The method is applicable across different species, including Homo sapiens, Mus musculus, and Rattus norvegicus.

Conclusions:

  • im6A-TS-CNN is an effective and accurate tool for identifying tissue-specific m⁶A sites.
  • The developed method advances the field of epitranscriptomics by enabling broader m⁶A site analysis.
  • The availability of a command-line version facilitates wider adoption and application in biological research.