← BioTransfer GEO Dataset Finder
GEO series

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

GSE293919 Mus musculus; Homo sapiens Expression profiling by high throughput sequencing; Other; Non-coding RNA profiling by high throughput sequencing 424 samples 2026/06/24 GPL24247GPL29480GPL24676
Summary
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 PABPC1 further allows monitoring of transcriptomic responses and selectively profile 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 FMR1 mutations. Together, POND-seq provides a versatile and scalable platform for non-destructive and longitudinal analysis of cytoplasmic transcriptome and RBP-associated RNAs.
Download
NCBI GEO page ↗ Paper (PMID 42349405) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more RNA-seq datasets →
Similar datasets

Search all RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.