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SCIFER: approach for analysis of LINE-1 mRNA expression in single cells at a single locus resolution
BACKGROUND: Endogenous expression of L1 mRNA is the first step in an L1-initiated mutagenesis event. However, the contribution of individual cell types to patterns of organ-specific L1 mRNA expression remains poorly understood, especially at single-locus resolution. We introduce a method to quantify...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9413895/ https://www.ncbi.nlm.nih.gov/pubmed/36028901 http://dx.doi.org/10.1186/s13100-022-00276-0 |
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author | Stow, Emily C. Baddoo, Melody LaRosa, Alexis J. LaCoste, Dawn Deininger, Prescott Belancio, Victoria |
author_facet | Stow, Emily C. Baddoo, Melody LaRosa, Alexis J. LaCoste, Dawn Deininger, Prescott Belancio, Victoria |
author_sort | Stow, Emily C. |
collection | PubMed |
description | BACKGROUND: Endogenous expression of L1 mRNA is the first step in an L1-initiated mutagenesis event. However, the contribution of individual cell types to patterns of organ-specific L1 mRNA expression remains poorly understood, especially at single-locus resolution. We introduce a method to quantify expression of mobile elements at the single-locus resolution in scRNA-Seq datasets called Single Cell Implementation to Find Expressed Retrotransposons (SCIFER). SCIFER aligns scRNA-Seq reads uniquely to the genome and extracts alignments from single cells by cell-specific barcodes. In contrast to the alignment performed using default parameters, this alignment strategy increases accuracy of L1 locus identification by retaining only reads that are uniquely mapped to individual L1 loci. L1 loci expressed in single cells are unambiguously identified using a list of L1 loci manually validated to be expressed in bulk RNA-Seq datasets generated from the same cell line or organ. RESULTS: Validation of SCIFER using MCF7 cells determined technical parameters needed for optimal detection of L1 expression in single cells. We show that unsupervised analysis of L1 expression in single cells exponentially inflates both the levels of L1 expression and the number of expressed L1 loci. Application of SCIFER to analysis of scRNA-Seq datasets generated from mouse and human testes identified that mouse Round Spermatids and human Spermatogonia, Spermatocytes, and Round Spermatids express the highest levels of L1 mRNA. Our analysis also determined that similar to mice, human testes from unrelated individuals share as much as 80% of expressed L1 loci. Additionally, SCIFER determined that individual mouse cells co-express different L1 sub-families and different families of transposable elements, experimentally validating their co-existence in the same cell. CONCLUSIONS: SCIFER detects mRNA expression of individual L1 loci in single cells. It is compatible with scRNA-Seq datasets prepared using traditional sequencing methods. Validated using a human cancer cell line, SCIFER analysis of mouse and human testes identified key cell types supporting L1 expression in these species. This will further our understanding of differences and similarities in endogenous L1 mRNA expression patterns in mice and humans. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13100-022-00276-0. |
format | Online Article Text |
id | pubmed-9413895 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-94138952022-08-27 SCIFER: approach for analysis of LINE-1 mRNA expression in single cells at a single locus resolution Stow, Emily C. Baddoo, Melody LaRosa, Alexis J. LaCoste, Dawn Deininger, Prescott Belancio, Victoria Mob DNA Research BACKGROUND: Endogenous expression of L1 mRNA is the first step in an L1-initiated mutagenesis event. However, the contribution of individual cell types to patterns of organ-specific L1 mRNA expression remains poorly understood, especially at single-locus resolution. We introduce a method to quantify expression of mobile elements at the single-locus resolution in scRNA-Seq datasets called Single Cell Implementation to Find Expressed Retrotransposons (SCIFER). SCIFER aligns scRNA-Seq reads uniquely to the genome and extracts alignments from single cells by cell-specific barcodes. In contrast to the alignment performed using default parameters, this alignment strategy increases accuracy of L1 locus identification by retaining only reads that are uniquely mapped to individual L1 loci. L1 loci expressed in single cells are unambiguously identified using a list of L1 loci manually validated to be expressed in bulk RNA-Seq datasets generated from the same cell line or organ. RESULTS: Validation of SCIFER using MCF7 cells determined technical parameters needed for optimal detection of L1 expression in single cells. We show that unsupervised analysis of L1 expression in single cells exponentially inflates both the levels of L1 expression and the number of expressed L1 loci. Application of SCIFER to analysis of scRNA-Seq datasets generated from mouse and human testes identified that mouse Round Spermatids and human Spermatogonia, Spermatocytes, and Round Spermatids express the highest levels of L1 mRNA. Our analysis also determined that similar to mice, human testes from unrelated individuals share as much as 80% of expressed L1 loci. Additionally, SCIFER determined that individual mouse cells co-express different L1 sub-families and different families of transposable elements, experimentally validating their co-existence in the same cell. CONCLUSIONS: SCIFER detects mRNA expression of individual L1 loci in single cells. It is compatible with scRNA-Seq datasets prepared using traditional sequencing methods. Validated using a human cancer cell line, SCIFER analysis of mouse and human testes identified key cell types supporting L1 expression in these species. This will further our understanding of differences and similarities in endogenous L1 mRNA expression patterns in mice and humans. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13100-022-00276-0. BioMed Central 2022-08-26 /pmc/articles/PMC9413895/ /pubmed/36028901 http://dx.doi.org/10.1186/s13100-022-00276-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Stow, Emily C. Baddoo, Melody LaRosa, Alexis J. LaCoste, Dawn Deininger, Prescott Belancio, Victoria SCIFER: approach for analysis of LINE-1 mRNA expression in single cells at a single locus resolution |
title | SCIFER: approach for analysis of LINE-1 mRNA expression in single cells at a single locus resolution |
title_full | SCIFER: approach for analysis of LINE-1 mRNA expression in single cells at a single locus resolution |
title_fullStr | SCIFER: approach for analysis of LINE-1 mRNA expression in single cells at a single locus resolution |
title_full_unstemmed | SCIFER: approach for analysis of LINE-1 mRNA expression in single cells at a single locus resolution |
title_short | SCIFER: approach for analysis of LINE-1 mRNA expression in single cells at a single locus resolution |
title_sort | scifer: approach for analysis of line-1 mrna expression in single cells at a single locus resolution |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9413895/ https://www.ncbi.nlm.nih.gov/pubmed/36028901 http://dx.doi.org/10.1186/s13100-022-00276-0 |
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