The authors report a transfer learning framework designed to integrate scRNA-seq data across species by combining RNA expression with embeddings from protein language models and general-purpose language models, establishing Unify as a powerful method for comparative single-cell genomics and evolutionary biology.
Hua-Wen Zhong, Wenkai Han, Guo-Xin Cui et al.· Nature Communications· 0 citations
Despite immune-cell infiltration being a hallmark of multiple sclerosis (MS), the interplay between the periphery and central nervous system immune responses is still incompletely characterized. We performed single-cell transcriptomic and V(D)J sequencing of paired blood and cerebrospinal fluid (CSF) immune cells from...
Nils Hallén, S. J. Fernandes, S. Rad Pour et al.· bioRxiv· 0 citations
The RNA-DNA interactome is established as a new genome regulatory layer that defines and maintains cellular identity and behavior and is shown to be highly dynamic yet reproducibly organized in cell-type specific networks.
A. Lambolez, P. Sahlén, Wenjing Kang et al.· bioRxiv· 1 citation
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