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The Landscape of SNCA Transcripts Across Synucleinopathies: New Insights From Long Reads Sequencing Analysis

Dysregulation of alpha-synuclein expression has been implicated in the pathogenesis of synucleinopathies, in particular Parkinson’s Disease (PD) and Dementia with Lewy bodies (DLB). Previous studies have shown that the alternatively spliced isoforms of the SNCA gene are differentially expressed in d...

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Autores principales: Tseng, Elizabeth, Rowell, William J., Glenn, Omolara-Chinue, Hon, Ting, Barrera, Julio, Kujawa, Steve, Chiba-Falek, Ornit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6629766/
https://www.ncbi.nlm.nih.gov/pubmed/31338105
http://dx.doi.org/10.3389/fgene.2019.00584
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author Tseng, Elizabeth
Rowell, William J.
Glenn, Omolara-Chinue
Hon, Ting
Barrera, Julio
Kujawa, Steve
Chiba-Falek, Ornit
author_facet Tseng, Elizabeth
Rowell, William J.
Glenn, Omolara-Chinue
Hon, Ting
Barrera, Julio
Kujawa, Steve
Chiba-Falek, Ornit
author_sort Tseng, Elizabeth
collection PubMed
description Dysregulation of alpha-synuclein expression has been implicated in the pathogenesis of synucleinopathies, in particular Parkinson’s Disease (PD) and Dementia with Lewy bodies (DLB). Previous studies have shown that the alternatively spliced isoforms of the SNCA gene are differentially expressed in different parts of the brain for PD and DLB patients. Similarly, SNCA isoforms with skipped exons can have a functional impact on the protein domains. The large intronic region of the SNCA gene was also shown to harbor structural variants that affect transcriptional levels. Here, we apply the first study of using long read sequencing with targeted capture of both the gDNA and cDNA of the SNCA gene in brain tissues of PD, DLB, and control samples using the PacBio Sequel system. The targeted full-length cDNA (Iso-Seq) data confirmed complex usage of known alternative start sites and variable 3′ UTR lengths, as well as novel 5′ starts and 3′ ends not previously described. The targeted gDNA data allowed phasing of up to 81% of the ~114 kb SNCA region, with the longest phased block exceeding 54 kb. We demonstrate that long gDNA and cDNA reads have the potential to reveal long-range information not previously accessible using traditional sequencing methods. This approach has a potential impact in studying disease risk genes such as SNCA, providing new insights into the genetic etiologies, including perturbations to the landscape the gene transcripts, of human complex diseases such as synucleinopathies.
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spelling pubmed-66297662019-07-23 The Landscape of SNCA Transcripts Across Synucleinopathies: New Insights From Long Reads Sequencing Analysis Tseng, Elizabeth Rowell, William J. Glenn, Omolara-Chinue Hon, Ting Barrera, Julio Kujawa, Steve Chiba-Falek, Ornit Front Genet Genetics Dysregulation of alpha-synuclein expression has been implicated in the pathogenesis of synucleinopathies, in particular Parkinson’s Disease (PD) and Dementia with Lewy bodies (DLB). Previous studies have shown that the alternatively spliced isoforms of the SNCA gene are differentially expressed in different parts of the brain for PD and DLB patients. Similarly, SNCA isoforms with skipped exons can have a functional impact on the protein domains. The large intronic region of the SNCA gene was also shown to harbor structural variants that affect transcriptional levels. Here, we apply the first study of using long read sequencing with targeted capture of both the gDNA and cDNA of the SNCA gene in brain tissues of PD, DLB, and control samples using the PacBio Sequel system. The targeted full-length cDNA (Iso-Seq) data confirmed complex usage of known alternative start sites and variable 3′ UTR lengths, as well as novel 5′ starts and 3′ ends not previously described. The targeted gDNA data allowed phasing of up to 81% of the ~114 kb SNCA region, with the longest phased block exceeding 54 kb. We demonstrate that long gDNA and cDNA reads have the potential to reveal long-range information not previously accessible using traditional sequencing methods. This approach has a potential impact in studying disease risk genes such as SNCA, providing new insights into the genetic etiologies, including perturbations to the landscape the gene transcripts, of human complex diseases such as synucleinopathies. Frontiers Media S.A. 2019-07-09 /pmc/articles/PMC6629766/ /pubmed/31338105 http://dx.doi.org/10.3389/fgene.2019.00584 Text en Copyright © 2019 Tseng, Rowell, Glenn, Hon, Barrera, Kujawa and Chiba-Falek. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Tseng, Elizabeth
Rowell, William J.
Glenn, Omolara-Chinue
Hon, Ting
Barrera, Julio
Kujawa, Steve
Chiba-Falek, Ornit
The Landscape of SNCA Transcripts Across Synucleinopathies: New Insights From Long Reads Sequencing Analysis
title The Landscape of SNCA Transcripts Across Synucleinopathies: New Insights From Long Reads Sequencing Analysis
title_full The Landscape of SNCA Transcripts Across Synucleinopathies: New Insights From Long Reads Sequencing Analysis
title_fullStr The Landscape of SNCA Transcripts Across Synucleinopathies: New Insights From Long Reads Sequencing Analysis
title_full_unstemmed The Landscape of SNCA Transcripts Across Synucleinopathies: New Insights From Long Reads Sequencing Analysis
title_short The Landscape of SNCA Transcripts Across Synucleinopathies: New Insights From Long Reads Sequencing Analysis
title_sort landscape of snca transcripts across synucleinopathies: new insights from long reads sequencing analysis
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6629766/
https://www.ncbi.nlm.nih.gov/pubmed/31338105
http://dx.doi.org/10.3389/fgene.2019.00584
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