bioRxivMolecular BiologyPreprint
Stress Granules and FUS condensates recruit functionally distinct sets of RNAs
Ryoma YonedaiD, Masataka HirasakiiD, Yuta Terui, Miki MoriiD, Tomohiro Kaneko, Masafumi Iharada, Yasuda KyotaiD
Abstract
Cellular homeostasis relies on the organization of RNA and protein into membrane-less organelles. Stress granules (SGs) are well-known hubs for translational repression during cellular stress. Similar condensates formed by RNA-binding proteins such as FUS-- mutations in which cause amyotrophic lateral sclerosis (ALS)--remain poorly characterized relative to canonical SGs. Here, we develop Granule-seq, a microcapillary-based granule-resolved RNA sequencing approach, and demonstrate that SGs and FUS condensates are functionally distinct RNA compartments rather than variants of a unified granule class. Granules were individually aspirated, analyzed in small pooled sets, and validated through overlap with known SG components (794/2,759 genes, 28.8%, p View larger version (55K): org.highwire.dtl.DTLVardef@1378da9org.highwire.dtl.DTLVardef@35906borg.highwire.dtl.DTLVardef@9c7880org.highwire.dtl.DTLVardef@ab3b9d_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphic abstract.C_FLOATNO Granule-seq workflow and key findings.(Left) Individual cytoplasmic granules are isolated by microcapillary aspiration, pooled ([~]10 granules per replicate), and processed for RNA sequencing alongside total-cell input. (Middle) Venn diagram showing the overlap between FUS condensate-enriched (1,334 genes) and G3BP1 stress granule-enriched (2,759 genes) transcripts. FUS condensates preferentially recruit neuronal and synaptic transcripts; G3BP1 stress granules are enriched for stress-response and proteostasis transcripts. (Right) Two-step recruitment model: shared sequence features (long 3'UTR, GC-rich composition, stable RNA structure) provide permissiveness for granule entry (Step 1), while RBP interactome composition and functional context determine granule-type specificity (Step 2). C_FIG
- organism: human
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell-cell communication
- approach: experimental assay
- Citations
- 0
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