EnrichSci: Transcript-guided Targeted Cell Enrichment for Scalable Single-Cell RNA Sequencing.
| Publication Type | Preprint |
| Authors | Liao A, Zhang Z, Sziraki A, Abdulraouf A, Xu Z, Lu Z, Zhou W, Cao J |
| Journal | bioRxiv |
| Date Published | 05/08/2025 |
| ISSN | 2692-8205 |
| Abstract | Large-scale single-cell atlas efforts have revealed many aging- or disease-associated cell types, yet these populations are often underrepresented in heterogeneous tissues, limiting detailed molecular and dynamic analyses. To address this, we developed EnrichSci-a highly scalable, microfluidics-free platform that combines Hybridization Chain Reaction RNA FISH with combinatorial indexing to profile single-nucleus transcriptomes of targeted cell types with full gene-body coverage. When applied to profile oligodendrocytes in the aging mouse brain, EnrichSci uncovered aging-associated molecular dynamics across distinct oligodendrocyte subtypes, revealing both shared and subtype-specific gene expression changes. Additionally, we identified aging-associated exon-level signatures that are missed by conventional gene-level analyses, highlighting post-transcriptional regulation as a critical dimension of cell-state dynamics in aging. By coupling transcript-guided enrichment with a scalable sequencing workflow, EnrichSci provides a versatile approach to decode dynamic regulatory landscapes in diverse cell types from complex tissues. |
| DOI | 10.1101/2025.05.02.651937 |
| PubMed ID | 40654882 |
| PubMed Central ID | PMC12247675 |