stereo-seq transcriptomics set v1.3  (Complete Genomics Inc)

Journal: bioRxiv

Article Title: Multiscale Spatial Transcriptomic Atlas of Human Basal Ganglia Cell-Type and Cellular Community Organization

doi: 10.64898/2025.12.02.691876

Figure Lengend Snippet: ( A ) Overview of study design, donor and sample quality and metadata, tissue sampling strategy, and adjacent-section workflows. ( B ) Stereo-seq dataset from an anterior basal ganglia section (donor case ID 2724): left, spatial map with cell-type assignments; right, UMAP embedding resolving 10 major cell classes from the same section. ( C ) MERFISH+ dataset from an adjacent anterior section. Left, spatial map with cell-type assignments; right, UMAP embedding resolving 10 major cell classes corresponding to Stereo-seq in ( B ). ( D–G , progressively greater magnification) Multi-scale Stereo-seq enlarged views of the boxed region in ( B ), illustrating the resolution span from centimeter-scale tissue anatomy to micron-scale detection of individual transcripts, with corresponding cell-type labels ( D, E ), cell-contour segmentation ( F ), and single-cell detail ( G ). ( H–K , progressively greater magnification) Multi-scale MERFISH+ enlarged views of the boxed region in ( C ), showing transcripts for selected genes (DRD1, DRD2, PENK, CCK, SST, CHAT, MBP) (color coded) and other genes (gray coded) that define cell-types at micron-scale resolution. See color keys at ( K ). Scale bars as indicated

Article Snippet: To fit the 2 cm × 3 cm Stereo-seq chips (STOmics/Complete Genomics, 111ST13231-CG), each large brain section was trimmed and/or subdivided within the cryostat to approximately 18 mm × 28 mm dimensions ( ).

Techniques: Sampling