Nature biotechnology · 2022
Functional analysis of structural variants in single cells using Strand-seq.
СтатьяПоддержка исследования: вне правительства СШАПоддержка NIH: внешняя программаНазвание и аннотация: Перевод пока не подготовлен
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Jeong Hyobin, Grimes Karen, Rauwolf Kerstin K, Bruch Peter-Martin, Rausch Tobias, Hasenfeld Patrick, Benito Eva, Roider Tobias, Sabarinathan Radhakrishnan, Porubsky David, Herbst Sophie A, Erarslan-Uysal Büşra, Jann Johann-Christoph, Marschall Tobias, Nowak Daniel, Bourquin Jean-Pierre, Kulozik Andreas E, Dietrich Sascha, Bornhauser Beat, Sanders Ashley D, Korbel Jan O
Аннотация
Somatic structural variants (SVs) are widespread in cancer, but their impact on disease evolution is understudied due to a lack of methods to directly characterize their functional consequences. We present a computational method, scNOVA, which uses Strand-seq to perform haplotype-aware integration of SV discovery and molecular phenotyping in single cells by using nucleosome occupancy to infer gene expression as a readout. Application to leukemias and cell lines identifies local effects of copy-balanced rearrangements on gene deregulation, and consequences of SVs on aberrant signaling pathways in subclones. We discovered distinct SV subclones with dysregulated Wnt signaling in a chronic lymphocytic leukemia patient. We further uncovered the consequences of subclonal chromothripsis in T cell acute lymphoblastic leukemia, which revealed c-Myb activation, enrichment of a primitive cell state and informed successful targeting of the subclone in cell culture, using a Notch inhibitor. By directly linking SVs to their functional effects, scNOVA enables systematic single-cell multiomic studies of structural variation in heterogeneous cell populations.