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TEspeX: consensus-specific quantification of transposable element expression preventing biases from exonized fragments

SUMMARY: Transposable elements (TEs) play key roles in crucial biological pathways. Therefore, several tools enabling the quantification of their expression were recently developed. However, many of the existing tools lack the capability to distinguish between the transcription of autonomously expre...

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Autores principales: Ansaloni, Federico, Gualandi, Nicolò, Esposito, Mauro, Gustincich, Stefano, Sanges, Remo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477521/
https://www.ncbi.nlm.nih.gov/pubmed/35876845
http://dx.doi.org/10.1093/bioinformatics/btac526
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author Ansaloni, Federico
Gualandi, Nicolò
Esposito, Mauro
Gustincich, Stefano
Sanges, Remo
author_facet Ansaloni, Federico
Gualandi, Nicolò
Esposito, Mauro
Gustincich, Stefano
Sanges, Remo
author_sort Ansaloni, Federico
collection PubMed
description SUMMARY: Transposable elements (TEs) play key roles in crucial biological pathways. Therefore, several tools enabling the quantification of their expression were recently developed. However, many of the existing tools lack the capability to distinguish between the transcription of autonomously expressed TEs and TE fragments embedded in canonical coding/non-coding non-TE transcripts. Consequently, an apparent change in the expression of a given TE may simply reflect the variation in the expression of the transcripts containing TE-derived sequences. To overcome this issue, we have developed TEspeX, a pipeline for the quantification of TE expression at the consensus level. TEspeX uses Illumina RNA-seq short reads to quantify TE expression avoiding counting reads deriving from inactive TE fragments embedded in canonical transcripts. AVAILABILITY AND IMPLEMENTATION: The tool is implemented in python3, distributed under the GNU General Public License (GPL) and available on Github at https://github.com/fansalon/TEspeX (Zenodo URL: https://doi.org/10.5281/zenodo.6800331). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-94775212022-09-19 TEspeX: consensus-specific quantification of transposable element expression preventing biases from exonized fragments Ansaloni, Federico Gualandi, Nicolò Esposito, Mauro Gustincich, Stefano Sanges, Remo Bioinformatics Applications Note SUMMARY: Transposable elements (TEs) play key roles in crucial biological pathways. Therefore, several tools enabling the quantification of their expression were recently developed. However, many of the existing tools lack the capability to distinguish between the transcription of autonomously expressed TEs and TE fragments embedded in canonical coding/non-coding non-TE transcripts. Consequently, an apparent change in the expression of a given TE may simply reflect the variation in the expression of the transcripts containing TE-derived sequences. To overcome this issue, we have developed TEspeX, a pipeline for the quantification of TE expression at the consensus level. TEspeX uses Illumina RNA-seq short reads to quantify TE expression avoiding counting reads deriving from inactive TE fragments embedded in canonical transcripts. AVAILABILITY AND IMPLEMENTATION: The tool is implemented in python3, distributed under the GNU General Public License (GPL) and available on Github at https://github.com/fansalon/TEspeX (Zenodo URL: https://doi.org/10.5281/zenodo.6800331). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2022-07-25 /pmc/articles/PMC9477521/ /pubmed/35876845 http://dx.doi.org/10.1093/bioinformatics/btac526 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Ansaloni, Federico
Gualandi, Nicolò
Esposito, Mauro
Gustincich, Stefano
Sanges, Remo
TEspeX: consensus-specific quantification of transposable element expression preventing biases from exonized fragments
title TEspeX: consensus-specific quantification of transposable element expression preventing biases from exonized fragments
title_full TEspeX: consensus-specific quantification of transposable element expression preventing biases from exonized fragments
title_fullStr TEspeX: consensus-specific quantification of transposable element expression preventing biases from exonized fragments
title_full_unstemmed TEspeX: consensus-specific quantification of transposable element expression preventing biases from exonized fragments
title_short TEspeX: consensus-specific quantification of transposable element expression preventing biases from exonized fragments
title_sort tespex: consensus-specific quantification of transposable element expression preventing biases from exonized fragments
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477521/
https://www.ncbi.nlm.nih.gov/pubmed/35876845
http://dx.doi.org/10.1093/bioinformatics/btac526
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