Evidence map›Paper›PMID 39075589›Full record

ArticleBMC biology2024

Single-mitochondrion sequencing uncovers distinct mutational patterns and heteroplasmy landscape in mouse astrocytes and neurons.

Parnika S Kadam, Zijian Yang, Youtao Lu, Hua Zhu, Yasemin Atiyas, Nishal Shah, Stephen Fisher, Erik Nordgren, Junhyong Kim, David Issadore and 1 more

Abstract read
In one paragraph

Article in BMC biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Parnika S Kadam *Department of Pharmacology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Zijian Yang *Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Youtao Lu *Department of Biology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Hua Zhu *Department of Pharmacology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Yasemin AtiyasDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Nishal ShahDepartment of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Stephen FisherDepartment of Biology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Erik NordgrenDepartment of Biology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Junhyong Kim *Department of Biology, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
David Issadore *Department of Bioengineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA. issadore@seas.upenn.edu.
James Eberwine *Department of Pharmacology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA. eberwine@pennmedicine.upenn.edu.ORCID http://orcid.org/0000-0002-9363-0858

Funding

Center for Sub-Cellular GenomicsRM1HG010023 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI EBERWINE, JAMES H, KIM, JUNHYONG · 2018 to 2022
$11.0M
National Institutes of Health: Center for Excellence in Genomic Science Grant RM1HG010023NHGRI NIH HHS RM1 HG010023
6 · The paper itself

Abstract

backgroundMitochondrial (mt) heteroplasmy can cause adverse biological consequences when deleterious mtDNA mutations accumulate disrupting "normal" mt-driven processes and cellular functions. To investigate the heteroplasmy of such mtDNA changes, we developed a moderate throughput mt isolation procedure to quantify the mt single-nucleotide variant (SNV) landscape in individual mouse neurons and astrocytes. In this study, we amplified mt-genomes from 1645 single mitochondria isolated from mouse single astrocytes and neurons to (1) determine the distribution and proportion of mt-SNVs as well as mutation pattern in specific target regions across the mt-genome, (2) assess differences in mtDNA SNVs between neurons and astrocytes, and (3) study co-segregation of variants in the mouse mtDNA.

results(1) The data show that specific sites of the mt-genome are permissive to SNV presentation while others appear to be under stringent purifying selection. Nested hierarchical analysis at the levels of mitochondrion, cell, and mouse reveals distinct patterns of inter- and intra-cellular variation for mt-SNVs at different sites. (2) Further, differences in the SNV incidence were observed between mouse neurons and astrocytes for two mt-SNV 9027:G > A and 9419:C > T showing variation in the mutational propensity between these cell types. Purifying selection was observed in neurons as shown by the Ka/Ks statistic, suggesting that neurons are under stronger evolutionary constraint as compared to astrocytes. (3) Intriguingly, these data show strong linkage between the SNV sites at nucleotide positions 9027 and 9461.

conclusionsThis study suggests that segregation as well as clonal expansion of mt-SNVs is specific to individual genomic loci, which is important foundational data in understanding of heteroplasmy and disease thresholds for mutation of pathogenic variants.

Indexed as

AstrocytesMutationNeuronsAnimalsDNA, MitochondrialHeteroplasmyMiceMitochondriaSequence Analysis, DNADNA, MitochondrialAstrocytesHeteroplasmyNeuronsSingle mitochondrionSingle-nucleotide variants

Identifiers

PMID39075589
PMCPMC11287894

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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.