Longitudinal monitoring of cytoplasmic RBP-RNA interactions and transcriptome in living cells by engineered protein nanocages

  • Mol Cell. 2026 Jul 16;86(14):2871-2887.e8. doi: 10.1016/j.molcel.2026.06.007.
Lu-Feng Hu  1 Gang Xie  2 Yi-Xia Wu  1 Yu-Xuan Li  1 Zi-Li Wan  1 Li Mi  3 Jia-Zhen Wang  1 Yangming Wang  4
Affiliations
  • 1. State Key Laboratory of Gene Function and Modulation Research, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Beijing Advanced Center of RNA Biology (Beacon), Peking University, Beijing 100871, China.
  • 2. Beijing Advanced Center of RNA Biology (Beacon), Peking University, Beijing 100871, China; PKU-THU-NIBS Joint Graduate Program, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China.
  • 3. Research Center for Industries of the Future, School of Life Sciences, Westlake University, Hangzhou 310024, Zhejiang, China.
  • 4. State Key Laboratory of Gene Function and Modulation Research, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China; Beijing Advanced Center of RNA Biology (Beacon), Peking University, Beijing 100871, China; Southwest United Graduate School, Kunming 650092, China. Electronic address: [email protected].
Abstract

Most existing RNA Sequencing methods rely on Cell Lysis or fixation, limiting their use in longitudinal studies of the same cell population. Here, we introduce POND-seq (protein nanocage-empowered non-destructive Sequencing), a strategy that employs secretory protein nanocages fused to RNA-binding proteins (RBPs) to recover RBP-associated RNAs from living cells. POND-seq robustly identifies RNA targets of cytoplasmic RBPs across multiple cell types and enables longitudinal tracking of dynamic changes in RBP-associated RNA profiles under stress conditions. Fusion to poly(A)-binding protein C (PABPC1) further allows monitoring of transcriptomic responses and selectively profiles cell-type-specific transcriptomes from mixed populations without cell dissociation and sorting. Additionally, POND-seq supports functional interrogation of RBP domains and residues involved in RNA association and enables scalable analysis of RBP variants, as demonstrated by a systematic assessment of disease-associated fragile X messenger ribonucleoprotein 1 (FMR1) mutations. Together, POND-seq provides a versatile and scalable platform for non-destructive and longitudinal analysis of cytoplasmic transcriptomes and RBP-associated RNAs.

Keywords
RBP-RNA interactions; longitudinal transcriptomics; non-destructive sequencing; protein nanocages; variant profiling.
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