An Integrated Single-Cell and Epigenomic Resource for Comparative Analysis of the Basal Ganglia

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Authors: Wenjin Zhang, Wubin Ding, Kai Li, Lei Chang, Amit Klein, Cindy Tatiana Báez-Becerra, Jonathan Rink, Anna Bartlett, Huaming Chen, Natalie Schenker, Nelson Johansen, Tyler S. Mollenkopf
+17 more Yuanyuan Fu, Xie Yang, Shane Liu, Chanrung Seng, Benpeng Miao, T -C Liu, Quan Zhu, Rebecca D. Hodge, Trygve E. Bakken, Ed S. Lein, Michael Hawrylycz, Xiangmin Xu, M. Margarita Behrens, Bing Xiu Ren, Joseph R. Ecker, Ting Wang, Daofeng Li
Cited by: 2
References: 27

Abstract

Abstract The basal ganglia regulate motor, cognitive, and affective behaviors, and their dysfunction underlies diverse neurological and psychiatric disorders. Comprehensive, accessible multi-omics resources are needed to understand the regulatory mechanisms governing basal ganglia cell types. Here we present an open, interactive web-based platform for exploring single-cell multi-omics datasets from basal ganglia, generated using 10X Multiome, snm3C-seq, and Paired-Tag technologies from the BICAN (NIH BRAIN Initiative Cell Atlas Network) consortium. The platform is available at https://basalganglia.epigenomes.net/ and enables integrated visualization of gene expression, chromatin accessibility, DNA methylation, histone modifications, and chromatin conformation across cell types and human, macaque, marmoset, and mouse species, with direct genome browser support and comparative epigenomic functionality. Representative analyses demonstrate cell-type-specific regulatory landscapes, conserved and species-specific regulatory elements, and links between epigenomic regulation and transcription. This resource provides a scalable, community-oriented foundation for advancing basal ganglia biology and interpreting regulatory mechanisms relevant to brain function and disease. Highlights Integrated single-cell epigenomic resource for basal ganglia Interactive genome browser enables multi-omics and cross-species exploration Reveals cell-type-specific and species-specific regulatory landscapes Supports community access to complex brain epigenomic datasets

Fields of Study & Subjects

Single-cell and spatial transcriptomics Neurogenesis and neuroplasticity mechanisms Cell Image Analysis Techniques

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publisher
openRxiv
Publication date
30 January 2026
Language
EN
Document type
Preprint