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Transcription factor profiling reveals molecular choreography and key regulators of human retrotransposon expression

Transposable elements (TEs) represent a substantial fraction of many eukaryotic genomes, and transcriptional regulation of these factors is important to determine TE activities in human cells. However, due to the repetitive nature of TEs, identifying transcription factor (TF)-binding sites from ChIP...

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Autores principales: Sun, Xiaoji, Wang, Xuya, Tang, Zuojian, Grivainis, Mark, Kahler, David, Yun, Chi, Mita, Paolo, Fenyö, David, Boeke, Jef D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6004460/
https://www.ncbi.nlm.nih.gov/pubmed/29802231
http://dx.doi.org/10.1073/pnas.1722565115
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author Sun, Xiaoji
Wang, Xuya
Tang, Zuojian
Grivainis, Mark
Kahler, David
Yun, Chi
Mita, Paolo
Fenyö, David
Boeke, Jef D.
author_facet Sun, Xiaoji
Wang, Xuya
Tang, Zuojian
Grivainis, Mark
Kahler, David
Yun, Chi
Mita, Paolo
Fenyö, David
Boeke, Jef D.
author_sort Sun, Xiaoji
collection PubMed
description Transposable elements (TEs) represent a substantial fraction of many eukaryotic genomes, and transcriptional regulation of these factors is important to determine TE activities in human cells. However, due to the repetitive nature of TEs, identifying transcription factor (TF)-binding sites from ChIP-sequencing (ChIP-seq) datasets is challenging. Current algorithms are focused on subtle differences between TE copies and thus bias the analysis to relatively old and inactive TEs. Here we describe an approach termed “MapRRCon” (mapping repeat reads to a consensus) which allows us to identify proteins binding to TE DNA sequences by mapping ChIP-seq reads to the TE consensus sequence after whole-genome alignment. Although this method does not assign binding sites to individual insertions in the genome, it provides a landscape of interacting TFs by capturing factors that bind to TEs under various conditions. We applied this method to screen TFs’ interaction with L1 in human cells/tissues using ENCODE ChIP-seq datasets and identified 178 of the 512 TFs tested as bound to L1 in at least one biological condition with most of them (138) localized to the promoter. Among these L1-binding factors, we focused on Myc and CTCF, as they play important roles in cancer progression and 3D chromatin structure formation. Furthermore, we explored the transcriptomes of The Cancer Genome Atlas breast and ovarian tumor samples in which a consistent anti-/correlation between L1 and Myc/CTCF expression was observed, suggesting that these two factors may play roles in regulating L1 transcription during the development of such tumors.
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spelling pubmed-60044602018-06-18 Transcription factor profiling reveals molecular choreography and key regulators of human retrotransposon expression Sun, Xiaoji Wang, Xuya Tang, Zuojian Grivainis, Mark Kahler, David Yun, Chi Mita, Paolo Fenyö, David Boeke, Jef D. Proc Natl Acad Sci U S A PNAS Plus Transposable elements (TEs) represent a substantial fraction of many eukaryotic genomes, and transcriptional regulation of these factors is important to determine TE activities in human cells. However, due to the repetitive nature of TEs, identifying transcription factor (TF)-binding sites from ChIP-sequencing (ChIP-seq) datasets is challenging. Current algorithms are focused on subtle differences between TE copies and thus bias the analysis to relatively old and inactive TEs. Here we describe an approach termed “MapRRCon” (mapping repeat reads to a consensus) which allows us to identify proteins binding to TE DNA sequences by mapping ChIP-seq reads to the TE consensus sequence after whole-genome alignment. Although this method does not assign binding sites to individual insertions in the genome, it provides a landscape of interacting TFs by capturing factors that bind to TEs under various conditions. We applied this method to screen TFs’ interaction with L1 in human cells/tissues using ENCODE ChIP-seq datasets and identified 178 of the 512 TFs tested as bound to L1 in at least one biological condition with most of them (138) localized to the promoter. Among these L1-binding factors, we focused on Myc and CTCF, as they play important roles in cancer progression and 3D chromatin structure formation. Furthermore, we explored the transcriptomes of The Cancer Genome Atlas breast and ovarian tumor samples in which a consistent anti-/correlation between L1 and Myc/CTCF expression was observed, suggesting that these two factors may play roles in regulating L1 transcription during the development of such tumors. National Academy of Sciences 2018-06-12 2018-05-25 /pmc/articles/PMC6004460/ /pubmed/29802231 http://dx.doi.org/10.1073/pnas.1722565115 Text en Copyright © 2018 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle PNAS Plus
Sun, Xiaoji
Wang, Xuya
Tang, Zuojian
Grivainis, Mark
Kahler, David
Yun, Chi
Mita, Paolo
Fenyö, David
Boeke, Jef D.
Transcription factor profiling reveals molecular choreography and key regulators of human retrotransposon expression
title Transcription factor profiling reveals molecular choreography and key regulators of human retrotransposon expression
title_full Transcription factor profiling reveals molecular choreography and key regulators of human retrotransposon expression
title_fullStr Transcription factor profiling reveals molecular choreography and key regulators of human retrotransposon expression
title_full_unstemmed Transcription factor profiling reveals molecular choreography and key regulators of human retrotransposon expression
title_short Transcription factor profiling reveals molecular choreography and key regulators of human retrotransposon expression
title_sort transcription factor profiling reveals molecular choreography and key regulators of human retrotransposon expression
topic PNAS Plus
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6004460/
https://www.ncbi.nlm.nih.gov/pubmed/29802231
http://dx.doi.org/10.1073/pnas.1722565115
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