← BioTransfer GEO Dataset Finder
GEO series

Systematic characterization of the composition and dynamics of processing body-associated mRNAs [dataset 3]

GSE297900 Homo sapiens Expression profiling by high throughput sequencing 8 samples Submitted 2025/09/15 Platform GPL24676
Summary
Processing bodies (PBs) are dynamic, membraneless organelles consisting of RNAs and proteins. While PB proteins have been extensively characterized, the methods for systematically profiling PB-associated RNAs are limited. To address this, we developed PB-TRIBE-STAMP, a new tool based on two orthogonal RNA editing enzymes. Simultaneously applying APOBEC1-DDX6 and LSM14A-ADAR2dd, PB-TRIBE-STAMP identified 1,639 and 2,577 PB-associated mRNAs in HCT116 and HEK293T cells, respectively. Further biochemical isolation of PBs followed by RNA-seq validated that edited transcripts of these mRNAs were indeed enriched in PBs. Integration of PB-TRIBE-STAMP with long-read sequencing revealed that the PB-associated transcripts possessed shorter poly(A)-tails and mRNA isoforms with longer 3’ UTRs were more likely to be associated with PBs than those with shorter ones. Moreover, we established a TRIBE-ID-based tool to characterize the mRNA-PB association at high temporal resolution and unveiled a higher splicing efficiency of PB-associated XBP1 transcripts during unfolded protein response (UPR). Finally, based on single-cell LSM14A-TRIBE-ID (sc-LSM14A-TRIBE-ID), we demonstrated the dynamic pattern of mRNA-PB association during cell cycle progression.
Published in
Systematic characterization of the composition and dynamics of processing body-associated mRNAs
Sun Z, Wen X, Li Y et al. · Nature communications 2025 · PMID 41213943 · doi:10.1038/s41467-025-64848-3
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE297900_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 8 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1266697 and SRA study SRP587057. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 8 more — browse all 8 samples with per-sample file links →

Similar datasets

Search all human 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.