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Resolving rates of mutation in the brain using single-neuron genomics

Whether somatic mutations contribute functional diversity to brain cells is a long-standing question. Single-neuron genomics enables direct measurement of somatic mutation rates in human brain and promises to answer this question. A recent study (Upton et al., 2015) reported high rates of somatic LI...

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Autores principales: Evrony, Gilad D, Lee, Eunjung, Park, Peter J, Walsh, Christopher A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4805530/
https://www.ncbi.nlm.nih.gov/pubmed/26901440
http://dx.doi.org/10.7554/eLife.12966
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author Evrony, Gilad D
Lee, Eunjung
Park, Peter J
Walsh, Christopher A
author_facet Evrony, Gilad D
Lee, Eunjung
Park, Peter J
Walsh, Christopher A
author_sort Evrony, Gilad D
collection PubMed
description Whether somatic mutations contribute functional diversity to brain cells is a long-standing question. Single-neuron genomics enables direct measurement of somatic mutation rates in human brain and promises to answer this question. A recent study (Upton et al., 2015) reported high rates of somatic LINE-1 element (L1) retrotransposition in the hippocampus and cerebral cortex that would have major implications for normal brain function, and suggested that these events preferentially impact genes important for neuronal function. We identify aspects of the single-cell sequencing approach, bioinformatic analysis, and validation methods that led to thousands of artifacts being interpreted as somatic mutation events. Our reanalysis supports a mutation frequency of approximately 0.2 events per cell, which is about fifty-fold lower than reported, confirming that L1 elements mobilize in some human neurons but indicating that L1 mosaicism is not ubiquitous. Through consideration of the challenges identified, we provide a foundation and framework for designing single-cell genomics studies. DOI: http://dx.doi.org/10.7554/eLife.12966.001
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spelling pubmed-48055302016-03-25 Resolving rates of mutation in the brain using single-neuron genomics Evrony, Gilad D Lee, Eunjung Park, Peter J Walsh, Christopher A eLife Genomics and Evolutionary Biology Whether somatic mutations contribute functional diversity to brain cells is a long-standing question. Single-neuron genomics enables direct measurement of somatic mutation rates in human brain and promises to answer this question. A recent study (Upton et al., 2015) reported high rates of somatic LINE-1 element (L1) retrotransposition in the hippocampus and cerebral cortex that would have major implications for normal brain function, and suggested that these events preferentially impact genes important for neuronal function. We identify aspects of the single-cell sequencing approach, bioinformatic analysis, and validation methods that led to thousands of artifacts being interpreted as somatic mutation events. Our reanalysis supports a mutation frequency of approximately 0.2 events per cell, which is about fifty-fold lower than reported, confirming that L1 elements mobilize in some human neurons but indicating that L1 mosaicism is not ubiquitous. Through consideration of the challenges identified, we provide a foundation and framework for designing single-cell genomics studies. DOI: http://dx.doi.org/10.7554/eLife.12966.001 eLife Sciences Publications, Ltd 2016-02-22 /pmc/articles/PMC4805530/ /pubmed/26901440 http://dx.doi.org/10.7554/eLife.12966 Text en © 2016, Evrony et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Genomics and Evolutionary Biology
Evrony, Gilad D
Lee, Eunjung
Park, Peter J
Walsh, Christopher A
Resolving rates of mutation in the brain using single-neuron genomics
title Resolving rates of mutation in the brain using single-neuron genomics
title_full Resolving rates of mutation in the brain using single-neuron genomics
title_fullStr Resolving rates of mutation in the brain using single-neuron genomics
title_full_unstemmed Resolving rates of mutation in the brain using single-neuron genomics
title_short Resolving rates of mutation in the brain using single-neuron genomics
title_sort resolving rates of mutation in the brain using single-neuron genomics
topic Genomics and Evolutionary Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4805530/
https://www.ncbi.nlm.nih.gov/pubmed/26901440
http://dx.doi.org/10.7554/eLife.12966
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