2021
DOI: 10.1101/gr.268482.120
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Human and rat skeletal muscle single-nuclei multi-omic integrative analyses nominate causal cell types, regulatory elements, and SNPs for complex traits

Abstract: Skeletal muscle accounts for the largest proportion of human body mass, on average, and is a key tissue in complex diseases and mobility. It is composed of several different cell and muscle fiber types. Here, we optimize single-nucleus ATAC-seq (snATAC-seq) to map skeletal muscle cell–specific chromatin accessibility landscapes in frozen human and rat samples, and single-nucleus RNA-seq (snRNA-seq) to map cell-specific transcriptomes in human. We additionally perform multi-omics profiling (gene expression and … Show more

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Cited by 39 publications
(50 citation statements)
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References 123 publications
(173 reference statements)
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“…Future steps will also include the addition of single nuclear ATAC strategies and multiomic analysis to identify the regulatory regions that are responsible for the gene expression changes as has been recently performed for skeletal muscle in diabetes. 58…”
Section: Discussionmentioning
confidence: 99%
“…Future steps will also include the addition of single nuclear ATAC strategies and multiomic analysis to identify the regulatory regions that are responsible for the gene expression changes as has been recently performed for skeletal muscle in diabetes. 58…”
Section: Discussionmentioning
confidence: 99%
“…To date, most studies have focused on one particular mechanism or cell type in the muscle, and lacked a comprehensive approach to fully understand muscle ageing. To address this, recent mouse and human skeletal muscle studies pioneered the use of either single-cell (scRNA-seq) [17][18][19][20][21] or single-nucleus RNA sequencing (snRNA-seq) [22][23][24][25][26] to understand muscle cell type heterogeneity as well as their changes in ageing. Both sc-and snRNA-seq approaches have their own limitations when applied to muscle: droplet single-cell sequencing approaches are not well suited for myofiber profiling due to the multinuclearity and large size of fibres, while single-nucleus sequencing often lacks resolution for the less-abundant MuSCs and microenvironment cell types.…”
Section: Introductionmentioning
confidence: 99%
“…Increasingly, this technique is proving well suited to simultaneously examining many cell types, uncover rare disease states, and identify subpopulations with distinct functions (Birnbaum, 2018). Few studies have examined human skeletal muscle at the single cell level (Barruet et al, 2020;De Micheli, Spector, Elemento, & Cosgrove, 2020;Orchard et al, 2021;Rubenstein et al, 2020), however, its utility is clear for basic and medical science studies of muscle in health and disease.…”
Section: Introductionmentioning
confidence: 99%
“…For this reason, single cell data typically include very low proportions of myofibers (De Micheli et al, 2020). Conversely, isolating nuclei from muscle yields very high proportions of myonuclei (Dos Santos et al, 2020;Orchard et al, 2021;Petrany et al, 2020). Single nuclear RNA sequencing is the best option if the experimental objective is to obtain sequencing data from all cell types in a muscle biopsy.…”
Section: Introductionmentioning
confidence: 99%
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