Evidence map›Paper›PMID 36792778›Full record

ReviewNature protocols2023

Mitochondrial single-cell ATAC-seq for high-throughput multi-omic detection of mitochondrial genotypes and chromatin accessibility.

Caleb A Lareau, Vincent Liu, Christoph Muus, Samantha D Praktiknjo, Lena Nitsch, Pauline Kautz, Katalin Sandor, Yajie Yin, Jacob C Gutierrez, Karin Pelka and 4 more

Open access · greenAbstract readReview
In one paragraph

Review in Nature protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
9.7field-weighted citation impact, top 1% of its field
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

49 citing papers in PubMed, 63 citations in OpenAlex.

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  20. Isolation of mitochondrial mutation-specific T cell receptors.Journal of immunology (Baltimore, Md. : 1950) · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 6 institutions in 2 countries.

Caleb A LareauDepartment of Pathology, Stanford University, Stanford, CA, USA. clareau@stanford.edu.ORCID http://orcid.org/0000-0003-4179-4807
Vincent LiuDepartment of Pathology, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-6790-6603
Christoph MuusBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Samantha D PraktiknjoBerlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-0186-5271
Lena NitschBerlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany.
Pauline KautzBerlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-9658-1676
Katalin SandorDepartment of Pathology, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-2892-4865
Yajie YinDepartment of Pathology, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-2220-005X
Jacob C GutierrezDepartment of Pathology, Stanford University, Stanford, CA, USA.
Karin PelkaGladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA.ORCID http://orcid.org/0000-0003-2856-8602
Ansuman T SatpathyDepartment of Pathology, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-5167-537X
Aviv RegevGenentech, South San Francisco, CA, USA. aviv.regev.sc@gmail.com.
Vijay G SankaranBroad Institute of MIT and Harvard, Cambridge, MA, USA. sankaran@broadinstitute.org.ORCID http://orcid.org/0000-0003-0044-443X
Leif S LudwigBerlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany. leif.ludwig@bih-charite.de.ORCID http://orcid.org/0000-0002-2916-2164
Max Delbrück Center · DEStanford University · USBroad Institute · USGladstone Institutes · USParker Institute for Cancer Immunotherapy · USScienceSouth · US

Funding

Single-cell Mapping Center for Human Regulatory Elements and Gene ActivityUM1HG012076 · NHGRI · STANFORD UNIVERSITY · PI Michael Ryan Corces, Ansuman Satpathy · 2021 to 2026
$13.8M
Systematic Genetic Dissection of Human ErythropoiesisR01DK103794 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI Vijay Ganesh Sankaran · 2014 to 2026
$5.9M
4DN Interrogation of T Cell Exhaustion in CancerU01CA260852 · NCI · STANFORD UNIVERSITY · PI SATPATHY, ANSUMAN · 2020 to 2024
$2.6M
Identifying Genome-wide Association Study-Nominated Regulators of ErythropoiesisR33HL120791 · NHLBI · BOSTON CHILDREN'S HOSPITAL · PI SANKARAN, VIJAY GANESH · 2016 to 2018
$1.7M
Charting somatic evolution via single-cell multiomicsK99HG012579 · NHGRI · STANFORD UNIVERSITY · PI LAREAU, CALEB ANDREW · 2022 to 2022
$119k
NCI NIH HHS U01 CA260852NHGRI NIH HHS K99 HG012579NHGRI NIH HHS UM1 HG012076NHLBI NIH HHS R33 HL120791NIDDK NIH HHS R01 DK103794
6 · The paper itself

Abstract

Natural sequence variation within mitochondrial DNA (mtDNA) contributes to human phenotypes and may serve as natural genetic markers in human cells for clonal and lineage tracing. We recently developed a single-cell multi-omic approach, called 'mitochondrial single-cell assay for transposase-accessible chromatin with sequencing' (mtscATAC-seq), enabling concomitant high-throughput mtDNA genotyping and accessible chromatin profiling. Specifically, our technique allows the mitochondrial genome-wide inference of mtDNA variant heteroplasmy along with information on cell state and accessible chromatin variation in individual cells. Leveraging somatic mtDNA mutations, our method further enables inference of clonal relationships among native ex vivo-derived human cells not amenable to genetic engineering-based clonal tracing approaches. Here, we provide a step-by-step protocol for the use of mtscATAC-seq, including various cell-processing and flow cytometry workflows, by using primary hematopoietic cells, subsequent single-cell genomic library preparation and sequencing that collectively take ~3-4 days to complete. We discuss experimental and computational data quality control metrics and considerations for the extension to other mammalian tissues. Overall, mtscATAC-seq provides a broadly applicable platform to map clonal relationships between cells in human tissues, investigate fundamental aspects of mitochondrial genetics and enable additional modes of multi-omic discovery.

Indexed as

ChromatinChromatin Immunoprecipitation SequencingAnimalsDNA, MitochondrialGenotypeHigh-Throughput Nucleotide SequencingHumansMammalsMultiomicsSequence Analysis, DNAChromatinDNA, Mitochondrial

Identifiers

PMID36792778
PMCPMC10317201
OpenAlexW4320913120

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.