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Analysis of long and short enhancers in melanoma cell states
Understanding how enhancers drive cell-type specificity and efficiently identifying them is essential for the development of innovative therapeutic strategies. In melanoma, the melanocytic (MEL) and the mesenchymal-like (MES) states present themselves with different responses to therapy, making the...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8691835/ https://www.ncbi.nlm.nih.gov/pubmed/34874265 http://dx.doi.org/10.7554/eLife.71735 |
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author | Mauduit, David Taskiran, Ibrahim Ihsan Minnoye, Liesbeth de Waegeneer, Maxime Christiaens, Valerie Hulselmans, Gert Demeulemeester, Jonas Wouters, Jasper Aerts, Stein |
author_facet | Mauduit, David Taskiran, Ibrahim Ihsan Minnoye, Liesbeth de Waegeneer, Maxime Christiaens, Valerie Hulselmans, Gert Demeulemeester, Jonas Wouters, Jasper Aerts, Stein |
author_sort | Mauduit, David |
collection | PubMed |
description | Understanding how enhancers drive cell-type specificity and efficiently identifying them is essential for the development of innovative therapeutic strategies. In melanoma, the melanocytic (MEL) and the mesenchymal-like (MES) states present themselves with different responses to therapy, making the identification of specific enhancers highly relevant. Using massively parallel reporter assays (MPRAs) in a panel of patient-derived melanoma lines (MM lines), we set to identify and decipher melanoma enhancers by first focusing on regions with state-specific H3K27 acetylation close to differentially expressed genes. An in-depth evaluation of those regions was then pursued by investigating the activity of overlapping ATAC-seq peaks along with a full tiling of the acetylated regions with 190 bp sequences. Activity was observed in more than 60% of the selected regions, and we were able to precisely locate the active enhancers within ATAC-seq peaks. Comparison of sequence content with activity, using the deep learning model DeepMEL2, revealed that AP-1 alone is responsible for the MES enhancer activity. In contrast, SOX10 and MITF both influence MEL enhancer function with SOX10 being required to achieve high levels of activity. Overall, our MPRAs shed light on the relationship between long and short sequences in terms of their sequence content, enhancer activity, and specificity across melanoma cell states. |
format | Online Article Text |
id | pubmed-8691835 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-86918352021-12-22 Analysis of long and short enhancers in melanoma cell states Mauduit, David Taskiran, Ibrahim Ihsan Minnoye, Liesbeth de Waegeneer, Maxime Christiaens, Valerie Hulselmans, Gert Demeulemeester, Jonas Wouters, Jasper Aerts, Stein eLife Chromosomes and Gene Expression Understanding how enhancers drive cell-type specificity and efficiently identifying them is essential for the development of innovative therapeutic strategies. In melanoma, the melanocytic (MEL) and the mesenchymal-like (MES) states present themselves with different responses to therapy, making the identification of specific enhancers highly relevant. Using massively parallel reporter assays (MPRAs) in a panel of patient-derived melanoma lines (MM lines), we set to identify and decipher melanoma enhancers by first focusing on regions with state-specific H3K27 acetylation close to differentially expressed genes. An in-depth evaluation of those regions was then pursued by investigating the activity of overlapping ATAC-seq peaks along with a full tiling of the acetylated regions with 190 bp sequences. Activity was observed in more than 60% of the selected regions, and we were able to precisely locate the active enhancers within ATAC-seq peaks. Comparison of sequence content with activity, using the deep learning model DeepMEL2, revealed that AP-1 alone is responsible for the MES enhancer activity. In contrast, SOX10 and MITF both influence MEL enhancer function with SOX10 being required to achieve high levels of activity. Overall, our MPRAs shed light on the relationship between long and short sequences in terms of their sequence content, enhancer activity, and specificity across melanoma cell states. eLife Sciences Publications, Ltd 2021-12-07 /pmc/articles/PMC8691835/ /pubmed/34874265 http://dx.doi.org/10.7554/eLife.71735 Text en © 2021, Mauduit et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Chromosomes and Gene Expression Mauduit, David Taskiran, Ibrahim Ihsan Minnoye, Liesbeth de Waegeneer, Maxime Christiaens, Valerie Hulselmans, Gert Demeulemeester, Jonas Wouters, Jasper Aerts, Stein Analysis of long and short enhancers in melanoma cell states |
title | Analysis of long and short enhancers in melanoma cell states |
title_full | Analysis of long and short enhancers in melanoma cell states |
title_fullStr | Analysis of long and short enhancers in melanoma cell states |
title_full_unstemmed | Analysis of long and short enhancers in melanoma cell states |
title_short | Analysis of long and short enhancers in melanoma cell states |
title_sort | analysis of long and short enhancers in melanoma cell states |
topic | Chromosomes and Gene Expression |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8691835/ https://www.ncbi.nlm.nih.gov/pubmed/34874265 http://dx.doi.org/10.7554/eLife.71735 |
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