What Does the Spinal Cord Hide? Unveiling the Secrets of Non-Coding RNAs

The lumbar spinal cord is the command center for walking and sensing the world. Now scientists have built a detailed map of over 86,000 mouse nuclei using single‑nucleus RNA‑seq. They merged data from five public studies and, with a new algorithm, identified all major cell types and 17 unique neuronal sub‑clusters. The real surprise? They included non‑coding RNAs – lncRNAs and pseudogenes – usually ignored. Although they make up only 10 % of each cell's information, these RNAs help define cell‑type specific signatures. By comparing analyses based on coding genes only, non‑coding only, or both, the authors showed that ncRNAs add an extra layer of precision. This resource, the first to systematically include non‑coding RNAs in the spinal cord, will be a solid foundation for studying how the cord reacts to injury, regenerates, or adapts to new challenges. In short, it’s like getting a more detailed GPS map for exploring the brain‑spine and its future potential.

Single‑nucleus RNA‑seq (snRNA‑seq) captures the transcriptome of individual cells without full dissociation, preserving nuclear integrity and reducing cellular stress bias. In this work, the 86,000 nuclei were processed with a Harmony‑based integration workflow, aligning batch variations across five public datasets. Cell classification used Leiden clustering and annotation with known marker genes, confirming astrocytes, oligodendrocytes, microglia, endothelial cells and 17 neuronal subtypes, including excitatory and inhibitory interneurons. Inclusion of ncRNA involved extracting all transcripts labeled as "non‑coding" in the GENCODE database,{including lncRNAs, pseudogenes and small