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Single-cell lineage tracing by endogenous mutations enriched in transposase accessible mitochondrial DNA

Simultaneous measurement of cell lineage and cell fates is a longstanding goal in biomedicine. Here we describe EMBLEM, a strategy to track cell lineage using endogenous mitochondrial DNA variants in ATAC-seq data. We show that somatic mutations in mitochondrial DNA can reconstruct cell lineage rela...

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Detalles Bibliográficos
Autores principales: Xu, Jin, Nuno, Kevin, Litzenburger, Ulrike M, Qi, Yanyan, Corces, M Ryan, Majeti, Ravindra, Chang, Howard Y
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469926/
https://www.ncbi.nlm.nih.gov/pubmed/30958261
http://dx.doi.org/10.7554/eLife.45105
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author Xu, Jin
Nuno, Kevin
Litzenburger, Ulrike M
Qi, Yanyan
Corces, M Ryan
Majeti, Ravindra
Chang, Howard Y
author_facet Xu, Jin
Nuno, Kevin
Litzenburger, Ulrike M
Qi, Yanyan
Corces, M Ryan
Majeti, Ravindra
Chang, Howard Y
author_sort Xu, Jin
collection PubMed
description Simultaneous measurement of cell lineage and cell fates is a longstanding goal in biomedicine. Here we describe EMBLEM, a strategy to track cell lineage using endogenous mitochondrial DNA variants in ATAC-seq data. We show that somatic mutations in mitochondrial DNA can reconstruct cell lineage relationships at single cell resolution with high sensitivity and specificity. Using EMBLEM, we define the genetic and epigenomic clonal evolution of hematopoietic stem cells and their progenies in patients with acute myeloid leukemia. EMBLEM extends lineage tracing to any eukaryotic organism without genetic engineering.
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spelling pubmed-64699262019-04-19 Single-cell lineage tracing by endogenous mutations enriched in transposase accessible mitochondrial DNA Xu, Jin Nuno, Kevin Litzenburger, Ulrike M Qi, Yanyan Corces, M Ryan Majeti, Ravindra Chang, Howard Y eLife Cancer Biology Simultaneous measurement of cell lineage and cell fates is a longstanding goal in biomedicine. Here we describe EMBLEM, a strategy to track cell lineage using endogenous mitochondrial DNA variants in ATAC-seq data. We show that somatic mutations in mitochondrial DNA can reconstruct cell lineage relationships at single cell resolution with high sensitivity and specificity. Using EMBLEM, we define the genetic and epigenomic clonal evolution of hematopoietic stem cells and their progenies in patients with acute myeloid leukemia. EMBLEM extends lineage tracing to any eukaryotic organism without genetic engineering. eLife Sciences Publications, Ltd 2019-04-09 /pmc/articles/PMC6469926/ /pubmed/30958261 http://dx.doi.org/10.7554/eLife.45105 Text en © 2019, Xu et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Cancer Biology
Xu, Jin
Nuno, Kevin
Litzenburger, Ulrike M
Qi, Yanyan
Corces, M Ryan
Majeti, Ravindra
Chang, Howard Y
Single-cell lineage tracing by endogenous mutations enriched in transposase accessible mitochondrial DNA
title Single-cell lineage tracing by endogenous mutations enriched in transposase accessible mitochondrial DNA
title_full Single-cell lineage tracing by endogenous mutations enriched in transposase accessible mitochondrial DNA
title_fullStr Single-cell lineage tracing by endogenous mutations enriched in transposase accessible mitochondrial DNA
title_full_unstemmed Single-cell lineage tracing by endogenous mutations enriched in transposase accessible mitochondrial DNA
title_short Single-cell lineage tracing by endogenous mutations enriched in transposase accessible mitochondrial DNA
title_sort single-cell lineage tracing by endogenous mutations enriched in transposase accessible mitochondrial dna
topic Cancer Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6469926/
https://www.ncbi.nlm.nih.gov/pubmed/30958261
http://dx.doi.org/10.7554/eLife.45105
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