Cargando…
Characterization of human mosaic Rett syndrome brain tissue by single-nucleus RNA sequencing
In females with X-linked genetic disorders, wild-type and mutant cells coexist within brain tissue because of X-chromosome inactivation, posing challenges for interpreting the effects of X-linked mutant alleles on gene expression. We present a single-nucleus RNA sequencing approach that resolves mos...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6261686/ https://www.ncbi.nlm.nih.gov/pubmed/30455458 http://dx.doi.org/10.1038/s41593-018-0270-6 |
_version_ | 1783374991734079488 |
---|---|
author | Renthal, William Boxer, Lisa D. Hrvatin, Sinisa Li, Emmy Silberfeld, Andrew Nagy, M. Aurel Griffith, Eric C. Vierbuchen, Thomas Greenberg, Michael E. |
author_facet | Renthal, William Boxer, Lisa D. Hrvatin, Sinisa Li, Emmy Silberfeld, Andrew Nagy, M. Aurel Griffith, Eric C. Vierbuchen, Thomas Greenberg, Michael E. |
author_sort | Renthal, William |
collection | PubMed |
description | In females with X-linked genetic disorders, wild-type and mutant cells coexist within brain tissue because of X-chromosome inactivation, posing challenges for interpreting the effects of X-linked mutant alleles on gene expression. We present a single-nucleus RNA sequencing approach that resolves mosaicism by using SNPs in genes expressed in cis with the X-linked mutation to determine which nuclei express the mutant allele even when the mutant gene is not detected. This approach enables gene expression comparisons between mutant and wild-type cells within the same individual, eliminating variability introduced by comparisons to controls with different genetic backgrounds. We apply this approach to mosaic female mouse models and humans with Rett syndrome, an X-linked neurodevelopmental disorder caused by mutations in the methyl-DNA-binding protein MECP2 and observe that cell-type-specific DNA methylation predicts the degree of gene up-regulation in MECP2-mutant neurons. This approach can be broadly applied to study gene expression in mosaic X-linked disorders. |
format | Online Article Text |
id | pubmed-6261686 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
record_format | MEDLINE/PubMed |
spelling | pubmed-62616862019-05-19 Characterization of human mosaic Rett syndrome brain tissue by single-nucleus RNA sequencing Renthal, William Boxer, Lisa D. Hrvatin, Sinisa Li, Emmy Silberfeld, Andrew Nagy, M. Aurel Griffith, Eric C. Vierbuchen, Thomas Greenberg, Michael E. Nat Neurosci Article In females with X-linked genetic disorders, wild-type and mutant cells coexist within brain tissue because of X-chromosome inactivation, posing challenges for interpreting the effects of X-linked mutant alleles on gene expression. We present a single-nucleus RNA sequencing approach that resolves mosaicism by using SNPs in genes expressed in cis with the X-linked mutation to determine which nuclei express the mutant allele even when the mutant gene is not detected. This approach enables gene expression comparisons between mutant and wild-type cells within the same individual, eliminating variability introduced by comparisons to controls with different genetic backgrounds. We apply this approach to mosaic female mouse models and humans with Rett syndrome, an X-linked neurodevelopmental disorder caused by mutations in the methyl-DNA-binding protein MECP2 and observe that cell-type-specific DNA methylation predicts the degree of gene up-regulation in MECP2-mutant neurons. This approach can be broadly applied to study gene expression in mosaic X-linked disorders. 2018-11-19 2018-12 /pmc/articles/PMC6261686/ /pubmed/30455458 http://dx.doi.org/10.1038/s41593-018-0270-6 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Renthal, William Boxer, Lisa D. Hrvatin, Sinisa Li, Emmy Silberfeld, Andrew Nagy, M. Aurel Griffith, Eric C. Vierbuchen, Thomas Greenberg, Michael E. Characterization of human mosaic Rett syndrome brain tissue by single-nucleus RNA sequencing |
title | Characterization of human mosaic Rett syndrome brain tissue by single-nucleus RNA sequencing |
title_full | Characterization of human mosaic Rett syndrome brain tissue by single-nucleus RNA sequencing |
title_fullStr | Characterization of human mosaic Rett syndrome brain tissue by single-nucleus RNA sequencing |
title_full_unstemmed | Characterization of human mosaic Rett syndrome brain tissue by single-nucleus RNA sequencing |
title_short | Characterization of human mosaic Rett syndrome brain tissue by single-nucleus RNA sequencing |
title_sort | characterization of human mosaic rett syndrome brain tissue by single-nucleus rna sequencing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6261686/ https://www.ncbi.nlm.nih.gov/pubmed/30455458 http://dx.doi.org/10.1038/s41593-018-0270-6 |
work_keys_str_mv | AT renthalwilliam characterizationofhumanmosaicrettsyndromebraintissuebysinglenucleusrnasequencing AT boxerlisad characterizationofhumanmosaicrettsyndromebraintissuebysinglenucleusrnasequencing AT hrvatinsinisa characterizationofhumanmosaicrettsyndromebraintissuebysinglenucleusrnasequencing AT liemmy characterizationofhumanmosaicrettsyndromebraintissuebysinglenucleusrnasequencing AT silberfeldandrew characterizationofhumanmosaicrettsyndromebraintissuebysinglenucleusrnasequencing AT nagymaurel characterizationofhumanmosaicrettsyndromebraintissuebysinglenucleusrnasequencing AT griffithericc characterizationofhumanmosaicrettsyndromebraintissuebysinglenucleusrnasequencing AT vierbuchenthomas characterizationofhumanmosaicrettsyndromebraintissuebysinglenucleusrnasequencing AT greenbergmichaele characterizationofhumanmosaicrettsyndromebraintissuebysinglenucleusrnasequencing |