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Transcriptome plasticity describes the cellular capacity to dynamically regulate gene expression, producing diverse transcripts and expanding functional proteomic diversity beyond genomic constraints. Recent advances emphasize its regulation through nucleotide metabolism, cellular signaling pathways such as mTOR, and long noncoding RNAs. Complementing these biological insights, state-of-the-art computational tools enable in-depth profiling and interpretation of dynamic transcriptomic data. This special feature highlights these exciting developments across four comprehensive reviews.

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[Special Feature] Advances in Transcriptomics: Cell Signaling, Metabolism, RNA Regulation, and Computational Insights

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  • 发表日期：

    2025年

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摘要

Transcriptome plasticity describes the cellular capacity to dynamically regulate gene expression, producing diverse transcripts and expanding functional proteomic diversity beyond genomic constraints. Recent advances emphasize its regulation through nucleotide metabolism, cellular signaling pathways such as mTOR, and long noncoding RNAs. Complementing these biological insights, state-of-the-art computational tools enable in-depth profiling and interpretation of dynamic transcriptomic data. This special feature highlights these exciting developments across four comprehensive reviews.