Asset Details
Do you wish to reserve the book?
Identification of leukemic and pre-leukemic stem cells by clonal tracking from single-cell transcriptomics
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Identification of leukemic and pre-leukemic stem cells by clonal tracking from single-cell transcriptomics
Do you wish to request the book?
Identification of leukemic and pre-leukemic stem cells by clonal tracking from single-cell transcriptomics
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Identification of leukemic and pre-leukemic stem cells by clonal tracking from single-cell transcriptomics
2021
Overview
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.
Leukaemic stem cells drive acute myeloid leukaemia (AML) progression and relapse but they are incompletely characterized. Here, the authors combine single-cell transcriptomics and clonal tracking using nuclear and mitochondrial somatic variants to distinguish healthy, pre-leukaemic and leukaemic stem cells in AML.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
/ 38/91
/ 45/100
/ Biomarkers, Tumor - genetics
/ Cancer
/ Gene Expression Regulation, Leukemic
/ Genome
/ Hematopoietic Stem Cells - pathology
/ Humanities and Social Sciences
/ Humans
/ Leukemia
/ Leukemia, Myeloid, Acute - genetics
/ Leukemia, Myeloid, Acute - pathology
/ Mutation
/ Neoplastic Stem Cells - metabolism
/ Neoplastic Stem Cells - pathology
/ Science
/ Tracking
