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capTEs enables locus-specific dissection of transcriptional outputs from reference and nonreference transposable elements

Transposable elements (TEs) serve as both insertional mutagens and regulatory elements in cells, and their aberrant activity is increasingly being revealed to contribute to diseases and cancers. However, measuring the transcriptional consequences of nonreference and young TEs at individual loci rema...

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Autores principales: Li, Xuemei, Lu, Keying, Chen, Xiao, Tu, Kailing, Xie, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10517987/
https://www.ncbi.nlm.nih.gov/pubmed/37741908
http://dx.doi.org/10.1038/s42003-023-05349-1
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author Li, Xuemei
Lu, Keying
Chen, Xiao
Tu, Kailing
Xie, Dan
author_facet Li, Xuemei
Lu, Keying
Chen, Xiao
Tu, Kailing
Xie, Dan
author_sort Li, Xuemei
collection PubMed
description Transposable elements (TEs) serve as both insertional mutagens and regulatory elements in cells, and their aberrant activity is increasingly being revealed to contribute to diseases and cancers. However, measuring the transcriptional consequences of nonreference and young TEs at individual loci remains challenging with current methods, primarily due to technical limitations, including short read lengths generated and insufficient coverage in target regions. Here, we introduce a long-read targeted RNA sequencing method, Cas9-assisted profiling TE expression sequencing (capTEs), for quantitative analysis of transcriptional outputs for individual TEs, including transcribed nonreference insertions, noncanonical transcripts from various transcription patterns and their correlations with expression changes in related genes. This method selectively identified TE-containing transcripts and outputted data with up to 90% TE reads, maintaining a comparable data yield to whole-transcriptome sequencing. We applied capTEs to human cancer cells and found that internal and inserted Alu elements may employ distinct regulatory mechanisms to upregulate gene expression. We expect that capTEs will be a critical tool for advancing our understanding of the biological functions of individual TEs at the locus level, revealing their roles as both mutagens and regulators in biological and pathogenic processes.
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spelling pubmed-105179872023-09-25 capTEs enables locus-specific dissection of transcriptional outputs from reference and nonreference transposable elements Li, Xuemei Lu, Keying Chen, Xiao Tu, Kailing Xie, Dan Commun Biol Article Transposable elements (TEs) serve as both insertional mutagens and regulatory elements in cells, and their aberrant activity is increasingly being revealed to contribute to diseases and cancers. However, measuring the transcriptional consequences of nonreference and young TEs at individual loci remains challenging with current methods, primarily due to technical limitations, including short read lengths generated and insufficient coverage in target regions. Here, we introduce a long-read targeted RNA sequencing method, Cas9-assisted profiling TE expression sequencing (capTEs), for quantitative analysis of transcriptional outputs for individual TEs, including transcribed nonreference insertions, noncanonical transcripts from various transcription patterns and their correlations with expression changes in related genes. This method selectively identified TE-containing transcripts and outputted data with up to 90% TE reads, maintaining a comparable data yield to whole-transcriptome sequencing. We applied capTEs to human cancer cells and found that internal and inserted Alu elements may employ distinct regulatory mechanisms to upregulate gene expression. We expect that capTEs will be a critical tool for advancing our understanding of the biological functions of individual TEs at the locus level, revealing their roles as both mutagens and regulators in biological and pathogenic processes. Nature Publishing Group UK 2023-09-23 /pmc/articles/PMC10517987/ /pubmed/37741908 http://dx.doi.org/10.1038/s42003-023-05349-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Li, Xuemei
Lu, Keying
Chen, Xiao
Tu, Kailing
Xie, Dan
capTEs enables locus-specific dissection of transcriptional outputs from reference and nonreference transposable elements
title capTEs enables locus-specific dissection of transcriptional outputs from reference and nonreference transposable elements
title_full capTEs enables locus-specific dissection of transcriptional outputs from reference and nonreference transposable elements
title_fullStr capTEs enables locus-specific dissection of transcriptional outputs from reference and nonreference transposable elements
title_full_unstemmed capTEs enables locus-specific dissection of transcriptional outputs from reference and nonreference transposable elements
title_short capTEs enables locus-specific dissection of transcriptional outputs from reference and nonreference transposable elements
title_sort captes enables locus-specific dissection of transcriptional outputs from reference and nonreference transposable elements
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10517987/
https://www.ncbi.nlm.nih.gov/pubmed/37741908
http://dx.doi.org/10.1038/s42003-023-05349-1
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