intra-single cell sequencing (iSCseq) spotlights transcriptomic and epigenetic heterogeneity inside multinucleated osteoclast
Okada, H.; Terui, Y.; Omata, Y.; Seki, M.; Tani, S.; Miyahara, J.; Makabe, K.; Terashima, A.; Kanazawa, S.; Hosonuma, M.; Yano, F.; Kajiya, H.; Saito, T.; Suzuki, Y.; Okabe, K.; Baron, R.; Tanaka, S.; Chung, U.-i.; Hojo, H.
Show abstract
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
Matching journals
The top 10 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- b3galt6 knock-out zebrafish recapitulate β3GalT6-deficiency disorders in human and reveal a trisaccharide proteoglycan linkage region 92%
- The beta-tubulin isotype TUBB6 controls microtubule and actin dynamics in osteoclasts. 91%
- Gene families with stochastic exclusive gene choice underlie cell adhesion in mammalian cells 91%
Similar papers in this journal
- MicroRNA-27a is essential for bone remodeling by modulating p62-mediated osteoclast signaling 93%
- Single-cell RNA sequencing reveals cellular and molecular heterogeneity in fibrocartilaginous enthesis formation 93%
- Peroxiredoxin 5 regulates osteogenic differentiation via interaction with hnRNPK during bone regeneration 93%
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Single Cell Cortical Bone Transcriptomics Defines Novel Osteolineage Gene Sets Altered in Chronic Kidney Disease 94%
- Raman microspectroscopy reveals unsaturation heterogeneity at the lipid droplet level and validates an in vitro model of bone marrow adipocyte subtypes 92%
- In vivo analysis of the contribution of proprotein convertases to the processing of FGF23 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.