| Literature DB >> 33649320 |
Lars Velten1,2, Benjamin A Story3,4, Pablo Hernández-Malmierca5,6, Simon Raffel5,6,7, Daniel R Leonce3, Jennifer Milbank3, Malte Paulsen8, Aykut Demir7, Chelsea Szu-Tu9,10, Robert Frömel9,10, Christoph Lutz7, Daniel Nowak11, Johann-Christoph Jann11, Caroline Pabst7,12, Tobias Boch4,6,11, Wolf-Karsten Hofmann11, Carsten Müller-Tidow7, Andreas Trumpp5,6,13, Simon Haas5,6,13,14,15,16, Lars M Steinmetz17,18,19.
Abstract
Cancer stem cells drive disease progression and relapse in many types of cancer. Despite this, a thorough characterization of these cells remains elusive and with it the ability to eradicate cancer at its source. In acute myeloid leukemia (AML), leukemic stem cells (LSCs) underlie mortality but are difficult to isolate due to their low abundance and high similarity to healthy hematopoietic stem cells (HSCs). Here, we demonstrate that LSCs, HSCs, and pre-leukemic stem cells can be identified and molecularly profiled by combining single-cell transcriptomics with lineage tracing using both nuclear and mitochondrial somatic variants. While mutational status discriminates between healthy and cancerous cells, gene expression distinguishes stem cells and progenitor cell populations. Our approach enables the identification of LSC-specific gene expression programs and the characterization of differentiation blocks induced by leukemic mutations. Taken together, we demonstrate the power of single-cell multi-omic approaches in characterizing cancer stem cells.Entities:
Year: 2021 PMID: 33649320 DOI: 10.1038/s41467-021-21650-1
Source DB: PubMed Journal: Nat Commun ISSN: 2041-1723 Impact factor: 14.919