Tracking Rare Single Donor and Recipient Immune and Leukemia Cells after Allogeneic Hematopoietic Cell Transplantation Using Mitochondrial DNA Mutations

利用线粒体DNA突变追踪异基因造血干细胞移植后罕见的单供体和受体免疫细胞和白血病细胞

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作者:Livius Penter ,Nicoletta Cieri ,Katie Maurer ,Marwan Kwok ,Haoxiang Lyu ,Wesley S Lu ,Giacomo Oliveira ,Satyen H Gohil ,Ignaty Leshchiner ,Caleb A Lareau ,Leif S Ludwig ,Donna S Neuberg ,Haesook T Kim ,Shuqiang Li ,Lars Bullinger ,Jerome Ritz ,Gad Getz ,Jacqueline S Garcia ,Robert J Soiffer ,Kenneth J Livak ,Catherine J Wu

Abstract

Combined tracking of clonal evolution and chimeric cell phenotypes could enable detection of the key cellular populations associated with response following therapy, including after allogeneic hematopoietic stem cell transplantation (HSCT). We demonstrate that mitochondrial DNA (mtDNA) mutations coevolve with somatic nuclear DNA mutations at relapse post-HSCT and provide a sensitive means to monitor these cellular populations. Furthermore, detection of mtDNA mutations via single-cell assay for transposase-accessible chromatin with select antigen profiling by sequencing (ASAP-seq) simultaneously determines not only donor and recipient cells but also their phenotype at frequencies of 0.1% to 1%. Finally, integration of mtDNA mutations, surface markers, and chromatin accessibility profiles enables the phenotypic resolution of leukemic populations from normal immune cells, thereby providing fresh insights into residual donor-derived engraftment and short-term clonal evolution following therapy for post-transplant leukemia relapse. As throughput evolves, we envision future development of single-cell sequencing-based post-transplant monitoring as a powerful approach for guiding clinical decision-making. Significance: mtDNA mutations enable single-cell tracking of leukemic clonal evolution and donor-recipient origin following allogeneic HSCT. This provides unprecedented insight into chimeric cellular phenotypes of early immune reconstitution, incipient relapse, and quality of donor engraftment with immediate translational potential for future clinical post-transplant monitoring and decision-making.

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