bioRxivGeneticsPreprint
Single-cell full-length transcriptome of human lung reveals genetic effects on isoform regulation beyond gene-level expression
Bolun LiiD, Thong LuongiD, Elelta Sisay, Jinhu YiniD, Zixuan ZhangiD, Maryam Vaziripour, Ju Hye ShiniD, Yongmei ZhaoiD, Bao Tran, Jinyoung ByuniD, Yafang LiiD, Chia Han Lee, Maura O'Neill, Þorkell AndréssoniD, Yoon Soo ChangiD, Steven GazaliD, Maria Teresa LandiiD, Nathaniel RothmaniD, Erping LongiD, Qing Lan BiD, Christopher I Amos, Anny Xiaobo Zhou, Tongwu ZhangiD, Jin Gu LeeiD, Jianxin ShiiD, , Jiyeon ChoiiD
- Citations
- 1
Abstract
Genetic regulation of splicing uniquely contributes to trait-associated genome-wide association studies (GWAS) signals. However, quantitative trait loci (QTL) analysis using short-read sequencing of bulk tissues fails to capture full-length and cell-type-specific isoforms. Here, we present an isoform-level lung cell atlas from 129 never-smoking Korean women using single-cell long-read RNA-sequencing, identifying abundant unannotated and cell-type-specific isoforms. Isoform-level signatures of 37 lung cell types display a larger difference and therefore improve cell-type classification compared to gene-level expression. Notably, isoform-QTLs (isoQTLs) detect unannotated and/or cell-type-specific isoforms with independent genetic regulation from expression-QTL (eQTL), supported by enriched splicing functional elements. IsoQTLs nominate susceptibility isoforms from previously unexplained lung function and cancer GWAS loci, via eQTL-independent signals. We highlight a potentially functional novel variant of PPIL6 in multiciliated cells underlying lung cancer risk through alternative splicing. This isoform-level resource advances our understanding of cell-type-specific isoform regulation and its contribution to lung traits and diseases.
- organism: human
- assay: scRNA-seq
- assay: long-read sequencing
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: statistical model
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