bioRxivGeneticsPreprint
Cellular context shapes the transcriptomic impact of somatic variants
Peisen SuniD, Peng JiaiD, Chuyuan Lou, Xiaona Li, Miaojing Li, Ruifen Zhang, Hui Lin, Xiujuan Li, Yunsong Zhou, Shuzheng Cai, Zexin ZhangiD, Pengyu ZhangiD, Tun XuiD, Songbo WangiD, Yudong Wang, Mingxuan Li, Yuyan Gong, Guoqin Sang, Jie Yin, Jizhe Li, Qi Xie, Zongsheng Yue, Dan Xu, Xiaofei Yang, Stephen J. BushiD, , Kai Ye
Abstract
Somatic SNVs are commonly prioritized by recurrence or sequence annotation, leaving the molecular consequences of private variants unresolved. We developed PrismSNV and Ligo-Seq, a single-cell full-length transcriptome sequencing platform, to quantify transcriptomic displacement associated with within-cell SNV-state toggling. Across 26 samples from three cancer types, more than 60% of candidate SNVs showed significant cell-type-specific displacement with over 30% variation in magnitude. Sequence-based deleteriousness was poorly aligned with cellular displacement, and fewer than 3% of top-displacement SNVs across six tumor types were catalogued in ClinVar. Displacement was strongest in transcriptionally plastic, less differentiated states. Analysis of 655,349 CD4+ T-cell transcriptomes further showed that SNV-gene associations changed in magnitude and sometimes direction during activation. Lack of recurrence or clinical annotation does not imply transcriptomic inertness; variant impact is shaped by cellular context rather than sequence alone, establishing the variant-cell pair as a critical unit for interpreting somatic variation.
- organism: human
- assay: scRNA-seq
- assay: long-read sequencing
- research focus: differential expression
- research focus: variant effect prediction
- research focus: cell type annotation
- research focus: trajectory inference
- approach: experimental assay
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