Clonally resolved single-cell multi-omics identifies routes of cellular differentiation in acute myeloid leukemia

Sergi Beneyto-Calabuig, Anne Kathrin Merbach, Jonas-Alexander Kniffka, Magdalena Antes, Chelsea Szu-Tu,Christian Rohde,Alexander Waclawiczek, Patrick Stelmach,Sarah Gräßle, Philip Pervan, Maike Janssen,Jonathan J.M. Landry,Vladimir Benes,Anna Jauch, Michaela Brough, Marcus Bauer,Birgit Besenbeck, Julia Felden,Sebastian Bäumer,Michael Hundemer

Cell Stem Cell(2023)

引用 7|浏览24
暂无评分
摘要
Inter-patient variability and the similarity of healthy and leukemic stem cells (LSCs) have impeded the characterization of LSCs in acute myeloid leukemia (AML) and their differentiation landscape. Here, we introduce CloneTracer, a novel method that adds clonal resolution to single-cell RNA-seq datasets. Applied to samples from 19 AML patients, CloneTracer revealed routes of leukemic differentiation. Although residual healthy and preleukemic cells dominated the dormant stem cell compartment, active LSCs resembled their healthy counterpart and retained erythroid capacity. By contrast, downstream myeloid progenitors constituted a highly aberrant, disease-defining compartment: their gene expression and differentiation state affected both the chemotherapy response and leukemia’s ability to differentiate into transcriptomically normal monocytes. Finally, we demonstrated the potential of CloneTracer to identify surface markers misregulated specifically in leukemic cells. Taken together, CloneTracer reveals a differentiation landscape that mimics its healthy counterpart and may determine biology and therapy response in AML.
更多
查看译文
关键词
acute myeloid leukemia,leukemic stem cells,cancer stem cells,hematopoietic stem cells,cellular differentiation,AML,LSC,CSC,HSC,single-cell RNA-seq,computational biology,single-cell genomics,single-cell transcriptomics,computational method
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要