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Lineage Tracing in Humans Enabled by Mitochondrial Mutations and Single-Cell Genomics
Lineage tracing provides key insights into the fate of individual cells in complex organisms. Although effective genetic labeling approaches are available in model systems, in humans, most approaches require detection of nuclear somatic mutations, which have high error rates, limited scale, and do n...
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Published in: | Cell 2019-03, Vol.176 (6), p.1325-1339.e22 |
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creator | Ludwig, Leif S. Lareau, Caleb A. Ulirsch, Jacob C. Christian, Elena Muus, Christoph Li, Lauren H. Pelka, Karin Ge, Will Oren, Yaara Brack, Alison Law, Travis Rodman, Christopher Chen, Jonathan H. Boland, Genevieve M. Hacohen, Nir Rozenblatt-Rosen, Orit Aryee, Martin J. Buenrostro, Jason D. Regev, Aviv Sankaran, Vijay G. |
description | Lineage tracing provides key insights into the fate of individual cells in complex organisms. Although effective genetic labeling approaches are available in model systems, in humans, most approaches require detection of nuclear somatic mutations, which have high error rates, limited scale, and do not capture cell state information. Here, we show that somatic mutations in mtDNA can be tracked by single-cell RNA or assay for transposase accessible chromatin (ATAC) sequencing. We leverage somatic mtDNA mutations as natural genetic barcodes and demonstrate their utility as highly accurate clonal markers to infer cellular relationships. We track native human cells both in vitro and in vivo and relate clonal dynamics to gene expression and chromatin accessibility. Our approach should allow clonal tracking at a 1,000-fold greater scale than with nuclear genome sequencing, with simultaneous information on cell state, opening the way to chart cellular dynamics in human health and disease.
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•Somatic mtDNA mutations can track cellular relationships and hierarchies in vitro•Single-cell genomic assays faithfully detect mtDNA mutations•Lineage inference can be combined with gene expression or chromatin state profiles•mtDNA mutations enable studies of clonal architecture in human health and disease
Using single-cell sequencing technologies, somatic mutations in mtDNA can be used as natural genetic barcodes to study cellular states and clonal dynamics. |
doi_str_mv | 10.1016/j.cell.2019.01.022 |
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[Display omitted]
•Somatic mtDNA mutations can track cellular relationships and hierarchies in vitro•Single-cell genomic assays faithfully detect mtDNA mutations•Lineage inference can be combined with gene expression or chromatin state profiles•mtDNA mutations enable studies of clonal architecture in human health and disease
Using single-cell sequencing technologies, somatic mutations in mtDNA can be used as natural genetic barcodes to study cellular states and clonal dynamics.</description><identifier>ISSN: 0092-8674</identifier><identifier>ISSN: 1097-4172</identifier><identifier>EISSN: 1097-4172</identifier><identifier>DOI: 10.1016/j.cell.2019.01.022</identifier><identifier>PMID: 30827679</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Base Sequence ; Cell Lineage ; Chromatin ; chronic myeloid leukemia ; colon cancer ; Colorectal Neoplasms - genetics ; Colorectal Neoplasms - pathology ; DNA, Mitochondrial - genetics ; Genomics - methods ; HEK293 Cells ; hematopoiesis ; Hematopoietic Stem Cells - physiology ; High-Throughput Nucleotide Sequencing - methods ; Humans ; lineage tracing ; Mitochondria - genetics ; mitochondrial DNA ; mtDNA ; Mutation ; sequencing ; single cell genomics ; Single-Cell Analysis ; somatic mutations ; Transposases</subject><ispartof>Cell, 2019-03, Vol.176 (6), p.1325-1339.e22</ispartof><rights>2019 Elsevier Inc.</rights><rights>Copyright © 2019 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c570t-a299b67a9e30611be5ae0f6919e65bdada78bfa0830ce8ea35cb82cfa95199ae3</citedby><cites>FETCH-LOGICAL-c570t-a299b67a9e30611be5ae0f6919e65bdada78bfa0830ce8ea35cb82cfa95199ae3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0092867419300558$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3549,27924,27925,45780</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30827679$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ludwig, Leif S.</creatorcontrib><creatorcontrib>Lareau, Caleb A.</creatorcontrib><creatorcontrib>Ulirsch, Jacob C.</creatorcontrib><creatorcontrib>Christian, Elena</creatorcontrib><creatorcontrib>Muus, Christoph</creatorcontrib><creatorcontrib>Li, Lauren H.</creatorcontrib><creatorcontrib>Pelka, Karin</creatorcontrib><creatorcontrib>Ge, Will</creatorcontrib><creatorcontrib>Oren, Yaara</creatorcontrib><creatorcontrib>Brack, Alison</creatorcontrib><creatorcontrib>Law, Travis</creatorcontrib><creatorcontrib>Rodman, Christopher</creatorcontrib><creatorcontrib>Chen, Jonathan H.</creatorcontrib><creatorcontrib>Boland, Genevieve M.</creatorcontrib><creatorcontrib>Hacohen, Nir</creatorcontrib><creatorcontrib>Rozenblatt-Rosen, Orit</creatorcontrib><creatorcontrib>Aryee, Martin J.</creatorcontrib><creatorcontrib>Buenrostro, Jason D.</creatorcontrib><creatorcontrib>Regev, Aviv</creatorcontrib><creatorcontrib>Sankaran, Vijay G.</creatorcontrib><title>Lineage Tracing in Humans Enabled by Mitochondrial Mutations and Single-Cell Genomics</title><title>Cell</title><addtitle>Cell</addtitle><description>Lineage tracing provides key insights into the fate of individual cells in complex organisms. Although effective genetic labeling approaches are available in model systems, in humans, most approaches require detection of nuclear somatic mutations, which have high error rates, limited scale, and do not capture cell state information. Here, we show that somatic mutations in mtDNA can be tracked by single-cell RNA or assay for transposase accessible chromatin (ATAC) sequencing. We leverage somatic mtDNA mutations as natural genetic barcodes and demonstrate their utility as highly accurate clonal markers to infer cellular relationships. We track native human cells both in vitro and in vivo and relate clonal dynamics to gene expression and chromatin accessibility. Our approach should allow clonal tracking at a 1,000-fold greater scale than with nuclear genome sequencing, with simultaneous information on cell state, opening the way to chart cellular dynamics in human health and disease.
[Display omitted]
•Somatic mtDNA mutations can track cellular relationships and hierarchies in vitro•Single-cell genomic assays faithfully detect mtDNA mutations•Lineage inference can be combined with gene expression or chromatin state profiles•mtDNA mutations enable studies of clonal architecture in human health and disease
Using single-cell sequencing technologies, somatic mutations in mtDNA can be used as natural genetic barcodes to study cellular states and clonal dynamics.</description><subject>Base Sequence</subject><subject>Cell Lineage</subject><subject>Chromatin</subject><subject>chronic myeloid leukemia</subject><subject>colon cancer</subject><subject>Colorectal Neoplasms - genetics</subject><subject>Colorectal Neoplasms - pathology</subject><subject>DNA, Mitochondrial - genetics</subject><subject>Genomics - methods</subject><subject>HEK293 Cells</subject><subject>hematopoiesis</subject><subject>Hematopoietic Stem Cells - physiology</subject><subject>High-Throughput Nucleotide Sequencing - methods</subject><subject>Humans</subject><subject>lineage tracing</subject><subject>Mitochondria - genetics</subject><subject>mitochondrial DNA</subject><subject>mtDNA</subject><subject>Mutation</subject><subject>sequencing</subject><subject>single cell genomics</subject><subject>Single-Cell Analysis</subject><subject>somatic mutations</subject><subject>Transposases</subject><issn>0092-8674</issn><issn>1097-4172</issn><issn>1097-4172</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kUFr3DAQhUVoSbZJ_kAPxcde7I7ktWRBKZQlTQobemhyFmN5vNFiS6lkB_Lvq2XT0F56msN8783wHmPvOVQcuPy0ryyNYyWA6wp4BUKcsBUHrco1V-INWwFoUbZSrc_Yu5T2ANA2TXPKzmpohZJKr9j91nnCHRV3Ea3zu8L54maZ0KfiymM3Ul90z8Wtm4N9CL6PDsfidplxdiEj6PviZ1aNVG7yK8U1-TA5my7Y2wHHRJcv85zdf7u629yU2x_X3zdft6VtFMwlCq07qVBTDZLzjhokGKTmmmTT9dijarsBoa3BUktYN7ZrhR1QN1xrpPqcfTn6Pi7dRL0lP0cczWN0E8ZnE9CZfzfePZhdeDJynROQKht8fDGI4ddCaTaTS4dU0VNYkhG8VbqpJUBGxRG1MaQUaXg9w8Ec-jB7c1CaQx8GuMl9ZNGHvx98lfwpIAOfjwDlmJ4cRZOsI2-pd5HsbPrg_uf_G7h0ngE</recordid><startdate>20190307</startdate><enddate>20190307</enddate><creator>Ludwig, Leif S.</creator><creator>Lareau, Caleb A.</creator><creator>Ulirsch, Jacob C.</creator><creator>Christian, Elena</creator><creator>Muus, Christoph</creator><creator>Li, Lauren H.</creator><creator>Pelka, Karin</creator><creator>Ge, Will</creator><creator>Oren, Yaara</creator><creator>Brack, Alison</creator><creator>Law, Travis</creator><creator>Rodman, Christopher</creator><creator>Chen, Jonathan H.</creator><creator>Boland, Genevieve M.</creator><creator>Hacohen, Nir</creator><creator>Rozenblatt-Rosen, Orit</creator><creator>Aryee, Martin J.</creator><creator>Buenrostro, Jason D.</creator><creator>Regev, Aviv</creator><creator>Sankaran, Vijay G.</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20190307</creationdate><title>Lineage Tracing in Humans Enabled by Mitochondrial Mutations and Single-Cell Genomics</title><author>Ludwig, Leif S. ; Lareau, Caleb A. ; Ulirsch, Jacob C. ; Christian, Elena ; Muus, Christoph ; Li, Lauren H. ; Pelka, Karin ; Ge, Will ; Oren, Yaara ; Brack, Alison ; Law, Travis ; Rodman, Christopher ; Chen, Jonathan H. ; Boland, Genevieve M. ; Hacohen, Nir ; Rozenblatt-Rosen, Orit ; Aryee, Martin J. ; Buenrostro, Jason D. ; Regev, Aviv ; Sankaran, Vijay G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c570t-a299b67a9e30611be5ae0f6919e65bdada78bfa0830ce8ea35cb82cfa95199ae3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Base Sequence</topic><topic>Cell Lineage</topic><topic>Chromatin</topic><topic>chronic myeloid leukemia</topic><topic>colon cancer</topic><topic>Colorectal Neoplasms - genetics</topic><topic>Colorectal Neoplasms - pathology</topic><topic>DNA, Mitochondrial - genetics</topic><topic>Genomics - methods</topic><topic>HEK293 Cells</topic><topic>hematopoiesis</topic><topic>Hematopoietic Stem Cells - physiology</topic><topic>High-Throughput Nucleotide Sequencing - methods</topic><topic>Humans</topic><topic>lineage tracing</topic><topic>Mitochondria - genetics</topic><topic>mitochondrial DNA</topic><topic>mtDNA</topic><topic>Mutation</topic><topic>sequencing</topic><topic>single cell genomics</topic><topic>Single-Cell Analysis</topic><topic>somatic mutations</topic><topic>Transposases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ludwig, Leif S.</creatorcontrib><creatorcontrib>Lareau, Caleb A.</creatorcontrib><creatorcontrib>Ulirsch, Jacob C.</creatorcontrib><creatorcontrib>Christian, Elena</creatorcontrib><creatorcontrib>Muus, Christoph</creatorcontrib><creatorcontrib>Li, Lauren H.</creatorcontrib><creatorcontrib>Pelka, Karin</creatorcontrib><creatorcontrib>Ge, Will</creatorcontrib><creatorcontrib>Oren, Yaara</creatorcontrib><creatorcontrib>Brack, Alison</creatorcontrib><creatorcontrib>Law, Travis</creatorcontrib><creatorcontrib>Rodman, Christopher</creatorcontrib><creatorcontrib>Chen, Jonathan H.</creatorcontrib><creatorcontrib>Boland, Genevieve M.</creatorcontrib><creatorcontrib>Hacohen, Nir</creatorcontrib><creatorcontrib>Rozenblatt-Rosen, Orit</creatorcontrib><creatorcontrib>Aryee, Martin J.</creatorcontrib><creatorcontrib>Buenrostro, Jason D.</creatorcontrib><creatorcontrib>Regev, Aviv</creatorcontrib><creatorcontrib>Sankaran, Vijay G.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Cell</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ludwig, Leif S.</au><au>Lareau, Caleb A.</au><au>Ulirsch, Jacob C.</au><au>Christian, Elena</au><au>Muus, Christoph</au><au>Li, Lauren H.</au><au>Pelka, Karin</au><au>Ge, Will</au><au>Oren, Yaara</au><au>Brack, Alison</au><au>Law, Travis</au><au>Rodman, Christopher</au><au>Chen, Jonathan H.</au><au>Boland, Genevieve M.</au><au>Hacohen, Nir</au><au>Rozenblatt-Rosen, Orit</au><au>Aryee, Martin J.</au><au>Buenrostro, Jason D.</au><au>Regev, Aviv</au><au>Sankaran, Vijay G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Lineage Tracing in Humans Enabled by Mitochondrial Mutations and Single-Cell Genomics</atitle><jtitle>Cell</jtitle><addtitle>Cell</addtitle><date>2019-03-07</date><risdate>2019</risdate><volume>176</volume><issue>6</issue><spage>1325</spage><epage>1339.e22</epage><pages>1325-1339.e22</pages><issn>0092-8674</issn><issn>1097-4172</issn><eissn>1097-4172</eissn><abstract>Lineage tracing provides key insights into the fate of individual cells in complex organisms. Although effective genetic labeling approaches are available in model systems, in humans, most approaches require detection of nuclear somatic mutations, which have high error rates, limited scale, and do not capture cell state information. Here, we show that somatic mutations in mtDNA can be tracked by single-cell RNA or assay for transposase accessible chromatin (ATAC) sequencing. We leverage somatic mtDNA mutations as natural genetic barcodes and demonstrate their utility as highly accurate clonal markers to infer cellular relationships. We track native human cells both in vitro and in vivo and relate clonal dynamics to gene expression and chromatin accessibility. Our approach should allow clonal tracking at a 1,000-fold greater scale than with nuclear genome sequencing, with simultaneous information on cell state, opening the way to chart cellular dynamics in human health and disease.
[Display omitted]
•Somatic mtDNA mutations can track cellular relationships and hierarchies in vitro•Single-cell genomic assays faithfully detect mtDNA mutations•Lineage inference can be combined with gene expression or chromatin state profiles•mtDNA mutations enable studies of clonal architecture in human health and disease
Using single-cell sequencing technologies, somatic mutations in mtDNA can be used as natural genetic barcodes to study cellular states and clonal dynamics.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>30827679</pmid><doi>10.1016/j.cell.2019.01.022</doi><oa>free_for_read</oa></addata></record> |
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subjects | Base Sequence Cell Lineage Chromatin chronic myeloid leukemia colon cancer Colorectal Neoplasms - genetics Colorectal Neoplasms - pathology DNA, Mitochondrial - genetics Genomics - methods HEK293 Cells hematopoiesis Hematopoietic Stem Cells - physiology High-Throughput Nucleotide Sequencing - methods Humans lineage tracing Mitochondria - genetics mitochondrial DNA mtDNA Mutation sequencing single cell genomics Single-Cell Analysis somatic mutations Transposases |
title | Lineage Tracing in Humans Enabled by Mitochondrial Mutations and Single-Cell Genomics |
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