scLANTERN: High-Throughput Retrospective Lineage Tracing via Full-Length Single-Cell Transcriptomics and Expressed Repeat Variation

Abstract

Understanding the lineage relationships among individual cells is a key pursuit of modern biology, essential for unraveling the complexities of developmental processes and the adaptive mechanisms of disease progression, particularly in oncology. Retrospective single-cell clonal tracing has emerged as a transformative approach, offering a unique window into the evolutionary trajectories of cancer within clinical samples. While short-read single-cell transcriptomics (scRNA-seq) has revolutionized our ability to map cell states across human tumor atlases, it remains fundamentally limited in its capacity to link these states with high-resolution genomic alterations and the evolutionary trajectories inferred from these natural variants. Integrating somatic mutation discovery with transcriptomic profiles at single-cell resolution often requires separate, costly, and low-throughput genomic assays. Furthermore, existing methods frequently rely on exogenous genetic labeling or are restricted to short-read sequencing, which typically fails to resolve complex genomic rearrangements, large indels, or variations within highly repetitive regions,such as short tandem repeats (STRs), that could serve as potent endogenous clonal markers.