Cargando…
Identification and prediction of developmental enhancers in sea urchin embryos
BACKGROUND: The transcription of developmental regulatory genes is often controlled by multiple cis-regulatory elements. The identification and functional characterization of distal regulatory elements remains challenging, even in tractable model organisms like sea urchins. RESULTS: We evaluate the...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8527612/ https://www.ncbi.nlm.nih.gov/pubmed/34666684 http://dx.doi.org/10.1186/s12864-021-07936-0 |
_version_ | 1784586102450946048 |
---|---|
author | Arenas-Mena, César Miljovska, Sofija Rice, Edward J. Gurges, Justin Shashikant, Tanvi Wang, Zihe Ercan, Sevinç Danko, Charles G. |
author_facet | Arenas-Mena, César Miljovska, Sofija Rice, Edward J. Gurges, Justin Shashikant, Tanvi Wang, Zihe Ercan, Sevinç Danko, Charles G. |
author_sort | Arenas-Mena, César |
collection | PubMed |
description | BACKGROUND: The transcription of developmental regulatory genes is often controlled by multiple cis-regulatory elements. The identification and functional characterization of distal regulatory elements remains challenging, even in tractable model organisms like sea urchins. RESULTS: We evaluate the use of chromatin accessibility, transcription and RNA Polymerase II for their ability to predict enhancer activity of genomic regions in sea urchin embryos. ATAC-seq, PRO-seq, and Pol II ChIP-seq from early and late blastula embryos are manually contrasted with experimental cis-regulatory analyses available in sea urchin embryos, with particular attention to common developmental regulatory elements known to have enhancer and silencer functions differentially deployed among embryonic territories. Using the three functional genomic data types, machine learning models are trained and tested to classify and quantitatively predict the enhancer activity of several hundred genomic regions previously validated with reporter constructs in vivo. CONCLUSIONS: Overall, chromatin accessibility and transcription have substantial power for predicting enhancer activity. For promoter-overlapping cis-regulatory elements in particular, the distribution of Pol II is the best predictor of enhancer activity in blastula embryos. Furthermore, ATAC- and PRO-seq predictive value is stage dependent for the promoter-overlapping subset. This suggests that the sequence of regulatory mechanisms leading to transcriptional activation have distinct relevance at different levels of the developmental gene regulatory hierarchy deployed during embryogenesis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07936-0. |
format | Online Article Text |
id | pubmed-8527612 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85276122021-10-25 Identification and prediction of developmental enhancers in sea urchin embryos Arenas-Mena, César Miljovska, Sofija Rice, Edward J. Gurges, Justin Shashikant, Tanvi Wang, Zihe Ercan, Sevinç Danko, Charles G. BMC Genomics Research BACKGROUND: The transcription of developmental regulatory genes is often controlled by multiple cis-regulatory elements. The identification and functional characterization of distal regulatory elements remains challenging, even in tractable model organisms like sea urchins. RESULTS: We evaluate the use of chromatin accessibility, transcription and RNA Polymerase II for their ability to predict enhancer activity of genomic regions in sea urchin embryos. ATAC-seq, PRO-seq, and Pol II ChIP-seq from early and late blastula embryos are manually contrasted with experimental cis-regulatory analyses available in sea urchin embryos, with particular attention to common developmental regulatory elements known to have enhancer and silencer functions differentially deployed among embryonic territories. Using the three functional genomic data types, machine learning models are trained and tested to classify and quantitatively predict the enhancer activity of several hundred genomic regions previously validated with reporter constructs in vivo. CONCLUSIONS: Overall, chromatin accessibility and transcription have substantial power for predicting enhancer activity. For promoter-overlapping cis-regulatory elements in particular, the distribution of Pol II is the best predictor of enhancer activity in blastula embryos. Furthermore, ATAC- and PRO-seq predictive value is stage dependent for the promoter-overlapping subset. This suggests that the sequence of regulatory mechanisms leading to transcriptional activation have distinct relevance at different levels of the developmental gene regulatory hierarchy deployed during embryogenesis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07936-0. BioMed Central 2021-10-19 /pmc/articles/PMC8527612/ /pubmed/34666684 http://dx.doi.org/10.1186/s12864-021-07936-0 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 | Research Arenas-Mena, César Miljovska, Sofija Rice, Edward J. Gurges, Justin Shashikant, Tanvi Wang, Zihe Ercan, Sevinç Danko, Charles G. Identification and prediction of developmental enhancers in sea urchin embryos |
title | Identification and prediction of developmental enhancers in sea urchin embryos |
title_full | Identification and prediction of developmental enhancers in sea urchin embryos |
title_fullStr | Identification and prediction of developmental enhancers in sea urchin embryos |
title_full_unstemmed | Identification and prediction of developmental enhancers in sea urchin embryos |
title_short | Identification and prediction of developmental enhancers in sea urchin embryos |
title_sort | identification and prediction of developmental enhancers in sea urchin embryos |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8527612/ https://www.ncbi.nlm.nih.gov/pubmed/34666684 http://dx.doi.org/10.1186/s12864-021-07936-0 |
work_keys_str_mv | AT arenasmenacesar identificationandpredictionofdevelopmentalenhancersinseaurchinembryos AT miljovskasofija identificationandpredictionofdevelopmentalenhancersinseaurchinembryos AT riceedwardj identificationandpredictionofdevelopmentalenhancersinseaurchinembryos AT gurgesjustin identificationandpredictionofdevelopmentalenhancersinseaurchinembryos AT shashikanttanvi identificationandpredictionofdevelopmentalenhancersinseaurchinembryos AT wangzihe identificationandpredictionofdevelopmentalenhancersinseaurchinembryos AT ercansevinc identificationandpredictionofdevelopmentalenhancersinseaurchinembryos AT dankocharlesg identificationandpredictionofdevelopmentalenhancersinseaurchinembryos |