生物
单细胞测序
表型
线粒体DNA
癌症的体细胞进化
单细胞分析
造血
体细胞
移植
干细胞
造血干细胞移植
白血病
突变
细胞
癌症研究
遗传学
免疫学
基因
医学
外显子组测序
外科
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 Neuberg,Haesook T. Kim,Shuqiang Li,Lars Bullinger,Jerome Ritz,Gad Getz,Jacqueline S. Garcia,Robert J. Soiffer,Kenneth J. Livak,Catherine J. Wu
出处
期刊:Blood cancer discovery
[American Association for Cancer Research]
日期:2024-09-05
标识
DOI:10.1158/2643-3230.bcd-23-0138
摘要
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 co-evolve with somatic nuclear DNA mutations at relapse post-HSCT and provide a sensitive means to monitor these cellular populations. Further, detection of mtDNA mutations via single-cell ATAC with select antigen profiling by sequencing (ASAP-seq) simultaneously determines not only donor and recipient cells, but also their phenotype, at frequencies of 0.1-1%. 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.
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