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Terui, Y.

Publications and source records attributed to Terui, Y..

2 recordsLinked to original sources

Stress Granules and FUS condensates recruit functionally distinct sets of RNAs

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 < 0.001). Gene Ontology analysis revealed that G3BP-positive SGs sequester transcripts for stress responses and translational control, while FUS condensates are enriched for transcripts essential for synaptic function and neuronal development. Direct comparison showed that 63% of FUS-enriched and 82% of G3BP-enriched genes were granule-specific, with only 493 genes shared. Exploratory sequence analysis revealed modest contributions from compositional features, with functional identity providing primary selectivity. As a proof-of-concept study with limited biological replication, our results suggest that distinct granule identities are established through functionally specialized transcriptomes, a process that may be disrupted in ALS, and provide a framework for understanding RNA sorting. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=112 SRC="FIGDIR/small/726389v1_ufig1.gif" ALT="Figure 1"> 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

molecular biology↗

intra-single cell sequencing (iSCseq) spotlights transcriptomic and epigenetic heterogeneity inside multinucleated osteoclast

Single-cell RNA-seq (scRNA-seq) has clarified cellular heterogeneity within cell populations. However, scRNA-seq and spatial transcriptomics cannot capture the dynamic transcriptomic changes inside living cells. To decode subcellular gene expression, we developed intra-single cell sequencing (iSCseq), a novel approach that combines confocal imaging, repeatedly picking up cellular components inside living cells, and next-generation sequencing (intra single-cell RNA-seq; iSCseq). iSCseq illustrated the subcellular heterogeneity of gene expression. iSCseq revealed not only multiple differentiation stages embedded in the same cell, but also physical cytoskeletal connections, physiological activity of mitochondria, and intracellular calcium, as confirmed by transcriptomic evidence. Inclusive iSCseq with in vivo scRNA-seq datasets identified new osteoclast subsets in physiological and pathological bones. Network analysis with centrality provided insights into the connection between subcellular components, and clearly divided differentiation and fusion processes in multinucleation. The iSCseq approach has the potential to enhance cell biology at subcellular resolution and identify new therapeutic targets. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/506360v4_ufig1.gif" ALT="Figure 1"> View larger version (73K): org.highwire.dtl.DTLVardef@115c1d8org.highwire.dtl.DTLVardef@1695ad2org.highwire.dtl.DTLVardef@1c9d257org.highwire.dtl.DTLVardef@1107ddb_HPS_FORMAT_FIGEXP M_FIG C_FIG In briefintra-single cell sequencing (iSCseq) enhances single-cell technology by combining live cell imaging, subcellular sampling from living cells and sequencing, offering deeper insights into cell functions and pathology at subcellular resolution through inclusive analysis with scRNA-seq and advanced centrality-focused network analysis. HighlightsO_LIintra-single cell sequencing (iSCseq) clarifies subcellular heterogeneity C_LIO_LIiSCseq connects morphological and physiological features with transcriptome C_LIO_LIInclusive iSCseq unveils osteoclast subsets in physiological and pathological bones C_LIO_LILinkage at subcellular resolution reveals key players in characteristic fusion C_LI

genomics↗