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Author

A. van Oudenaarden

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Open access Sep 2026

Single-cell multi-omics defines H3K27me3 remodelling in intervertebral disc degeneration with implications for regenerative intervention

Utilizing key developmental cues and refining their orchestrating role in degeneration represents a promising strategy for understanding and treating intervertebral disc (IVD) degeneration, a major cause of chronic lower back pain. Here, we focus on notochordal cells (NCs), which originate from the embryonic notochord and reside in the developing nucleus pulposus. These distinctly vacuolated cells exhibit robust regenerative effects and hold promise for new therapeutic approaches. Dogs, like humans, suffer from the consequences of IVD degeneration. As the IVD matures and degenerates, NCs are replaced by smaller non-vacuolated NP cells (NPCs). The dog was employed as a model to capture, at the single-cell level, the heterogeneity of resident cells by studying the nucleus pulposus tissue at three stages (i.e., juvenile, young adult and degenerate adult). Here, we integrated transcriptomic data with repressive histone H3 lysine 27 trimethylation (H3K27me3) profiles at the single-cell level to assess changes in chromatin states and gene expression across this IVD degeneration-associated cell phenotypic transition. H3K27me3 enrichment on key genes involved in IVD development and homeostasis, such as Brachyury (TBXT), aligns with the observed attenuation during ageing and degeneration seen in both dog and human IVDs. This study further demonstrates that eliminating repressive histone marks, together with CRISPR-mediated gene transactivation, enhances TBXT gene expression in human NPCs derived from degenerated aged discs. Our findings underscore how extensive insights gained through single-cell omics can lead to the identification of crucial cellular cues that may enable degenerate NPCs to regain a healthier phenotype.

Deepani W. Poramba-Liyanage, Xiao-Le Tong, F. Riemers et al. · 0 citations
Open access Aug 2026

Single-Cell Inference of Structural States Of Ribosomes

Protein synthesis is dynamically regulated to control cell growth, differentiation, and stress responses. Recent single-cell sequencing methods can map ribosome positions on individual transcripts1–4, but cannot capture the global translational states that coordinate protein synthesis across the transcriptome. In contrast, methods that measure the global translational landscape, such as polysome profiling and cryogenic electron tomography5, lack either single-cell resolution or throughput. Here we introduce SCISSOR (Single-Cell Inference of Structural States of Ribosomes), a strategy that infers global translation activity in individual cells from the differential protection of ribosomal RNA (rRNA) against nuclease digestion. By integrating these protection signatures with the structure of the ribosome, SCISSOR resolves multiple ribosomal states and quantifies their abundance across thousands of individual cells. Applying SCISSOR reveals systematic variation in global translation across the cell cycle in human cells, as well as during the differentiation of murine intestinal stem cells into distinct epithelial lineages. These findings uncover principles of global translational regulation that are invisible to transcriptomic or ribosome-profiling assays, establishing a framework for studying global translation control at single-cell resolution.

Euan Joly-Smith, Michael VanInsberghe, Kseniia Sarieva et al. · 0 citations

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