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Concurrent mapping of multiple epigenetic marks and co-occupancy using ACT2-seq
BACKGROUND: Genome-wide profiling of epigenetic marks is a core technology in molecular genetics. Co-occupancy of different epigenetic marks or protein factors at the same genomic locations must often be inferred from multiple independently collected data sets. However, this strategy does not provid...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8642990/ https://www.ncbi.nlm.nih.gov/pubmed/34863284 http://dx.doi.org/10.1186/s13578-021-00711-4 |
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author | Carter, Benjamin Ku, Wai Lim Pelt, Joe Zhao, Keji |
author_facet | Carter, Benjamin Ku, Wai Lim Pelt, Joe Zhao, Keji |
author_sort | Carter, Benjamin |
collection | PubMed |
description | BACKGROUND: Genome-wide profiling of epigenetic marks is a core technology in molecular genetics. Co-occupancy of different epigenetic marks or protein factors at the same genomic locations must often be inferred from multiple independently collected data sets. However, this strategy does not provide direct evidence of co-enrichment in the same cells due to the existence of cellular heterogeneity. To address this issue, we have developed a technique termed ACT2-seq that is capable of concurrently profiling multiple epigenetic marks in a single biological sample. In addition to reducing the numbers of samples required for experiments, ACT2-seq is capable of mapping co-occupancy of epigenetic factors on chromatin. This strategy provides direct evidence of co-enrichment without requiring complex single-molecule, single-cell, or magnetic bead-based approaches. RESULTS: We concurrently profiled pairs of two epigenetic marks using ACT2-seq as well as three marks in individual samples. Data obtained using ACT2-seq were found to be reproducible and robust. ACT2-seq was capable of cleanly partitioning concurrently mapped data sets that exhibited distinct enrichment patterns. Using ACT2-seq, we identified distinct relationships between co-occupancy of specific histone modifications and gene expression patterns. CONCLUSIONS: We conclude that ACT2-seq presents an attractive option for epigenomic profiling due to its ease of use, potential for reducing sample and sequencing costs, and ability to simultaneously profile co-occupancy of multiple histone marks and/or chromatin-associated proteins. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13578-021-00711-4. |
format | Online Article Text |
id | pubmed-8642990 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-86429902021-12-06 Concurrent mapping of multiple epigenetic marks and co-occupancy using ACT2-seq Carter, Benjamin Ku, Wai Lim Pelt, Joe Zhao, Keji Cell Biosci Methodology BACKGROUND: Genome-wide profiling of epigenetic marks is a core technology in molecular genetics. Co-occupancy of different epigenetic marks or protein factors at the same genomic locations must often be inferred from multiple independently collected data sets. However, this strategy does not provide direct evidence of co-enrichment in the same cells due to the existence of cellular heterogeneity. To address this issue, we have developed a technique termed ACT2-seq that is capable of concurrently profiling multiple epigenetic marks in a single biological sample. In addition to reducing the numbers of samples required for experiments, ACT2-seq is capable of mapping co-occupancy of epigenetic factors on chromatin. This strategy provides direct evidence of co-enrichment without requiring complex single-molecule, single-cell, or magnetic bead-based approaches. RESULTS: We concurrently profiled pairs of two epigenetic marks using ACT2-seq as well as three marks in individual samples. Data obtained using ACT2-seq were found to be reproducible and robust. ACT2-seq was capable of cleanly partitioning concurrently mapped data sets that exhibited distinct enrichment patterns. Using ACT2-seq, we identified distinct relationships between co-occupancy of specific histone modifications and gene expression patterns. CONCLUSIONS: We conclude that ACT2-seq presents an attractive option for epigenomic profiling due to its ease of use, potential for reducing sample and sequencing costs, and ability to simultaneously profile co-occupancy of multiple histone marks and/or chromatin-associated proteins. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13578-021-00711-4. BioMed Central 2021-12-04 /pmc/articles/PMC8642990/ /pubmed/34863284 http://dx.doi.org/10.1186/s13578-021-00711-4 Text en © The Author(s) 2021 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 | Methodology Carter, Benjamin Ku, Wai Lim Pelt, Joe Zhao, Keji Concurrent mapping of multiple epigenetic marks and co-occupancy using ACT2-seq |
title | Concurrent mapping of multiple epigenetic marks and co-occupancy using ACT2-seq |
title_full | Concurrent mapping of multiple epigenetic marks and co-occupancy using ACT2-seq |
title_fullStr | Concurrent mapping of multiple epigenetic marks and co-occupancy using ACT2-seq |
title_full_unstemmed | Concurrent mapping of multiple epigenetic marks and co-occupancy using ACT2-seq |
title_short | Concurrent mapping of multiple epigenetic marks and co-occupancy using ACT2-seq |
title_sort | concurrent mapping of multiple epigenetic marks and co-occupancy using act2-seq |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8642990/ https://www.ncbi.nlm.nih.gov/pubmed/34863284 http://dx.doi.org/10.1186/s13578-021-00711-4 |
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