The abstract is read at the publisher; the summary is JClub's.
BICAN built a cross-species, multimodal basal ganglia cell atlas integrating single-cell transcriptomics with epigenomic, spatial genomic, multiomic, and developmental data across human and multiple mammals.
- Why it matters: A standardized reference is needed to classify brain cell types consistently across species, enabling comparable study of motor control, adaptive behavior, and neurological disease.
- What they did: The team generated a curated, data-driven taxonomy using large-scale single-cell transcriptomic classification, then integrated it with epigenomic, spatial genomic, multiomic, and developmental datasets plus species-specific anatomical mapping via structural ontologies.
- The result: Coordinated standards for acquisition, metadata, registration, sequencing, infrastructure, visualization, and interoperable annotation were implemented and validated, demonstrating scalable pipelines toward a whole-brain human and mammalian reference.
The findingWhy it mattersWhat they didThe result
AI summary of the abstract · may contain errors · not medical advice · read the paper.