Evidence map›Paper›PMID 32788668›Full record

ArticleNature biotechnology2021

Massively parallel single-cell mitochondrial DNA genotyping and chromatin profiling.

Caleb A Lareau, Leif S Ludwig, Christoph Muus, Satyen H Gohil, Tongtong Zhao, Zachary Chiang, Karin Pelka, Jeffrey M Verboon, Wendy Luo, Elena Christian and 10 more

Erratum issuedAbstract read
In one paragraph

Article in Nature biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 191 papers.

0numbers the graph read from it
0cells of the map it votes in
191citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

191 citing papers in PubMed.

  1. Review
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  5. Clonal selection of somatic mutations shapes NK cell memory.bioRxiv : the preprint server for biology · 2026
    Article
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131 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Caleb A Lareau *Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA. clareau@broadinstitute.org.ORCID http://orcid.org/0000-0003-4179-4807
Leif S Ludwig *Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA. ludwig@broadinstitute.org.ORCID http://orcid.org/0000-0002-2916-2164
Christoph MuusKlarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-2779-0893
Satyen H GohilKlarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Tongtong ZhaoKlarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Zachary ChiangKlarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Karin PelkaKlarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Jeffrey M VerboonDivision of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
Wendy LuoDivision of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
Elena ChristianKlarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Daniel RosebrockKlarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Gad GetzKlarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-0936-0753
Genevieve M BolandCenter for Cancer Research, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Fei ChenKlarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-2308-3649
Jason D BuenrostroKlarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-9958-3987
Nir HacohenKlarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-2349-2656
Catherine J WuKlarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-3348-5054
Martin J AryeeKlarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Aviv RegevKlarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA. aregev@broadinstitute.org.ORCID http://orcid.org/0000-0003-3293-3158
Vijay G SankaranDivision of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA. sankaran@broadinstitute.org.ORCID http://orcid.org/0000-0003-0044-443X

Funding

ProteomicsP01CA206978 · NCI · DANA-FARBER CANCER INST · PI DAVIDS, MATTHEW S · 2016 to 2025
$17.0M
Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
Systematic Genetic Dissection of Human ErythropoiesisR01DK103794 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI Vijay Ganesh Sankaran · 2014 to 2026
$5.9M
ITSC for Leukemia: Novel Molecular strategies for NCTN "Individualized" TherapiesUG1CA233338 · NCI · UNIVERSITY OF CINCINNATI · PI BYRD, JOHN C. · 2019 to 2025
$4.5M
ITSC for Leukemia: Novel Molecular Strategies for NCTN: "Individualized" TherapieU10CA180861 · NCI · OHIO STATE UNIVERSITY · PI BLOOMFIELD, CLARA D, MARCUCCI, GUIDO · 2014 to 2018
$3.4M
(PQ3) The role of damaged DNA in inter-individual variation of tumor immunityR01CA208756 · NCI · BROAD INSTITUTE, INC. · PI HACOHEN, NIR · 2016 to 2020
$2.6M
Cancer Immunology Training GrantT32CA207021 · NCI · DANA-FARBER CANCER INST · PI WUCHERPFENNIG, KAI W · 2016 to 2020
$2.4M
Identifying Genome-wide Association Study-Nominated Regulators of ErythropoiesisR33HL120791 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI SANKARAN, VIJAY GANESH · 2016 to 2018
$1.7M
Inference of variable chromatin loops in glioblastoma tumors and single-cellsF31CA232670 · NCI · HARVARD MEDICAL SCHOOL · PI LAREAU, CALEB ANDREW · 2018 to 2019
$63k
Howard Hughes Medical InstituteNCI NIH HHS F31 CA232670NCI NIH HHS P01 CA206978NCI NIH HHS R01 CA208756NCI NIH HHS T32 CA207021NCI NIH HHS U10 CA180861NCI NIH HHS UG1 CA233338NHGRI NIH HHS T32 HG002295NHLBI NIH HHS R33 HL120791NIDDK NIH HHS R01 DK103794
6 · The paper itself

Abstract

Natural mitochondrial DNA (mtDNA) mutations enable the inference of clonal relationships among cells. mtDNA can be profiled along with measures of cell state, but has not yet been combined with the massively parallel approaches needed to tackle the complexity of human tissue. Here, we introduce a high-throughput, droplet-based mitochondrial single-cell assay for transposase-accessible chromatin with sequencing (scATAC-seq), a method that combines high-confidence mtDNA mutation calling in thousands of single cells with their concomitant high-quality accessible chromatin profile. This enables the inference of mtDNA heteroplasmy, clonal relationships, cell state and accessible chromatin variation in individual cells. We reveal single-cell variation in heteroplasmy of a pathologic mtDNA variant, which we associate with intra-individual chromatin variability and clonal evolution. We clonally trace thousands of cells from cancers, linking epigenomic variability to subclonal evolution, and infer cellular dynamics of differentiating hematopoietic cells in vitro and in vivo. Taken together, our approach enables the study of cellular population dynamics and clonal properties in vivo.

Indexed as

Aged, 80 and overCell DifferentiationCells, CulturedClonal EvolutionClone CellsDNA, MitochondrialEpigenesis, GeneticFemaleGenotyping TechniquesHematopoiesisHigh-Throughput Nucleotide SequencingHumansMitochondriaMutationNeoplasmsSequence Analysis, DNADNA, Mitochondrial

Identifiers

PMID32788668
PMCPMC7878580

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.