{"id": "package:db329914-fddf-493c-bf0e-68ae3217724f", "name": "clusters.csv", "self_uri": "https://services.scicrunch.io/sparc/drs/v1/objects/db329914-fddf-493c-bf0e-68ae3217724f", "size": 198521, "created_time": "2024-10-18T21:35:27,966361Z", "updated_time": "2024-10-18T21:40:23,604307Z", "version": "1", "mime_type": "text/csv", "checksums": [{"checksum": "b05b866680cbb797558ddd670b5785de", "type": "sha256"}], "access_methods": [{"type": "s3", "access_url": {"url": "s3://prod-precision-discover50-use1/491/files/primary/sub-UTD-DN0071/sam-UTD-DN0071/sam-UTD-DN0071-SC-VH/count/analysis/clustering/gene_expression_kmeans_4_clusters/clusters.csv"}, "region": "us-east-1"}], "dataset": {"id": "491", "doi": "DOI:10.26275/aikc-g5tv", "title": "Single nucleus sequencing of human spinal dorsal and ventral horn", "description": "Single nuclei sequencing of spinal cord from 19 subjects (1 dorsal horn and 1 ventral horn per subject)", "abstract": "We generated a high-resolution single-nucleus RNA sequencing (snRNA-seq) dataset from the lumbar spinal cords of 19 human donors. Each spinal cord was dissected into dorsal horn and ventral horn regions prior to sequencing, resulting in 38 anatomically distinct samples. Data processing and downstream analysis were performed using the Seurat package, enabling robust integration, clustering, and cell type annotation across samples. We identified eight major cell types consistently present across the dataset: neurons, lymphocytes, microglia, fibroblasts, oligodendrocytes, endothelial cells, ependymal cells, and astrocytes. Notably, eight of the 19 donors met our lab’s criteria for classification as pain donors. Comparative analysis revealed a unique subpopulation of lymphocytes localized exclusively to the dorsal horn of these pain-associated samples, suggesting a potential role in pain-related neuroimmune interactions. This dataset provides a valuable resource for exploring cellular and molecular diversity in the human spinal cord, particularly in the context of pain."}}