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Identifying transposable element expression dynamics and heterogeneity during development at the single-cell level with a processing pipeline scTE
Transposable elements (TEs) make up a majority of a typical eukaryote’s genome, and contribute to cell heterogeneity in unclear ways. Single-cell sequencing technologies are powerful tools to explore cells, however analysis is typically gene-centric and TE expression has not been addressed. Here, we...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7935913/ https://www.ncbi.nlm.nih.gov/pubmed/33674594 http://dx.doi.org/10.1038/s41467-021-21808-x |
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author | He, Jiangping Babarinde, Isaac A. Sun, Li Xu, Shuyang Chen, Ruhai Shi, Junjie Wei, Yuanjie Li, Yuhao Ma, Gang Zhuang, Qiang Hutchins, Andrew P. Chen, Jiekai |
author_facet | He, Jiangping Babarinde, Isaac A. Sun, Li Xu, Shuyang Chen, Ruhai Shi, Junjie Wei, Yuanjie Li, Yuhao Ma, Gang Zhuang, Qiang Hutchins, Andrew P. Chen, Jiekai |
author_sort | He, Jiangping |
collection | PubMed |
description | Transposable elements (TEs) make up a majority of a typical eukaryote’s genome, and contribute to cell heterogeneity in unclear ways. Single-cell sequencing technologies are powerful tools to explore cells, however analysis is typically gene-centric and TE expression has not been addressed. Here, we develop a single-cell TE processing pipeline, scTE, and report the expression of TEs in single cells in a range of biological contexts. Specific TE types are expressed in subpopulations of embryonic stem cells and are dynamically regulated during pluripotency reprogramming, differentiation, and embryogenesis. Unexpectedly, TEs are expressed in somatic cells, including human disease-specific TEs that are undetectable in bulk analyses. Finally, we apply scTE to single-cell ATAC-seq data, and demonstrate that scTE can discriminate cell type using chromatin accessibly of TEs alone. Overall, our results classify the dynamic patterns of TEs in single cells and their contributions to cell heterogeneity. |
format | Online Article Text |
id | pubmed-7935913 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79359132021-03-21 Identifying transposable element expression dynamics and heterogeneity during development at the single-cell level with a processing pipeline scTE He, Jiangping Babarinde, Isaac A. Sun, Li Xu, Shuyang Chen, Ruhai Shi, Junjie Wei, Yuanjie Li, Yuhao Ma, Gang Zhuang, Qiang Hutchins, Andrew P. Chen, Jiekai Nat Commun Article Transposable elements (TEs) make up a majority of a typical eukaryote’s genome, and contribute to cell heterogeneity in unclear ways. Single-cell sequencing technologies are powerful tools to explore cells, however analysis is typically gene-centric and TE expression has not been addressed. Here, we develop a single-cell TE processing pipeline, scTE, and report the expression of TEs in single cells in a range of biological contexts. Specific TE types are expressed in subpopulations of embryonic stem cells and are dynamically regulated during pluripotency reprogramming, differentiation, and embryogenesis. Unexpectedly, TEs are expressed in somatic cells, including human disease-specific TEs that are undetectable in bulk analyses. Finally, we apply scTE to single-cell ATAC-seq data, and demonstrate that scTE can discriminate cell type using chromatin accessibly of TEs alone. Overall, our results classify the dynamic patterns of TEs in single cells and their contributions to cell heterogeneity. Nature Publishing Group UK 2021-03-05 /pmc/articles/PMC7935913/ /pubmed/33674594 http://dx.doi.org/10.1038/s41467-021-21808-x Text en © The Author(s) 2021 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article He, Jiangping Babarinde, Isaac A. Sun, Li Xu, Shuyang Chen, Ruhai Shi, Junjie Wei, Yuanjie Li, Yuhao Ma, Gang Zhuang, Qiang Hutchins, Andrew P. Chen, Jiekai Identifying transposable element expression dynamics and heterogeneity during development at the single-cell level with a processing pipeline scTE |
title | Identifying transposable element expression dynamics and heterogeneity during development at the single-cell level with a processing pipeline scTE |
title_full | Identifying transposable element expression dynamics and heterogeneity during development at the single-cell level with a processing pipeline scTE |
title_fullStr | Identifying transposable element expression dynamics and heterogeneity during development at the single-cell level with a processing pipeline scTE |
title_full_unstemmed | Identifying transposable element expression dynamics and heterogeneity during development at the single-cell level with a processing pipeline scTE |
title_short | Identifying transposable element expression dynamics and heterogeneity during development at the single-cell level with a processing pipeline scTE |
title_sort | identifying transposable element expression dynamics and heterogeneity during development at the single-cell level with a processing pipeline scte |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7935913/ https://www.ncbi.nlm.nih.gov/pubmed/33674594 http://dx.doi.org/10.1038/s41467-021-21808-x |
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