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Analysis of the Drosophila and human DPR elements reveals a distinct human variant whose specificity can be enhanced by machine learning
The RNA polymerase II core promoter is the site of convergence of the signals that lead to the initiation of transcription. Here, we performed a comparative analysis of the downstream core promoter region (DPR) in Drosophila and humans by using machine learning. These studies revealed a distinct hum...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10270198/ https://www.ncbi.nlm.nih.gov/pubmed/37163335 http://dx.doi.org/10.1101/gad.350572.123 |
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author | Vo ngoc, Long Rhyne, Torrey E. Kadonaga, James T. |
author_facet | Vo ngoc, Long Rhyne, Torrey E. Kadonaga, James T. |
author_sort | Vo ngoc, Long |
collection | PubMed |
description | The RNA polymerase II core promoter is the site of convergence of the signals that lead to the initiation of transcription. Here, we performed a comparative analysis of the downstream core promoter region (DPR) in Drosophila and humans by using machine learning. These studies revealed a distinct human-specific version of the DPR and led to the use of machine learning models for the identification of synthetic extreme DPR motifs with specificity for human transcription factors relative to Drosophila factors and vice versa. More generally, machine learning models could similarly be used to design synthetic DNA elements with customized functional properties. |
format | Online Article Text |
id | pubmed-10270198 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-102701982023-11-01 Analysis of the Drosophila and human DPR elements reveals a distinct human variant whose specificity can be enhanced by machine learning Vo ngoc, Long Rhyne, Torrey E. Kadonaga, James T. Genes Dev Research Communication The RNA polymerase II core promoter is the site of convergence of the signals that lead to the initiation of transcription. Here, we performed a comparative analysis of the downstream core promoter region (DPR) in Drosophila and humans by using machine learning. These studies revealed a distinct human-specific version of the DPR and led to the use of machine learning models for the identification of synthetic extreme DPR motifs with specificity for human transcription factors relative to Drosophila factors and vice versa. More generally, machine learning models could similarly be used to design synthetic DNA elements with customized functional properties. Cold Spring Harbor Laboratory Press 2023-05-01 /pmc/articles/PMC10270198/ /pubmed/37163335 http://dx.doi.org/10.1101/gad.350572.123 Text en © 2023 Vo ngoc et al.; Published by Cold Spring Harbor Laboratory Press https://creativecommons.org/licenses/by-nc/4.0/This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genesdev.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Research Communication Vo ngoc, Long Rhyne, Torrey E. Kadonaga, James T. Analysis of the Drosophila and human DPR elements reveals a distinct human variant whose specificity can be enhanced by machine learning |
title | Analysis of the Drosophila and human DPR elements reveals a distinct human variant whose specificity can be enhanced by machine learning |
title_full | Analysis of the Drosophila and human DPR elements reveals a distinct human variant whose specificity can be enhanced by machine learning |
title_fullStr | Analysis of the Drosophila and human DPR elements reveals a distinct human variant whose specificity can be enhanced by machine learning |
title_full_unstemmed | Analysis of the Drosophila and human DPR elements reveals a distinct human variant whose specificity can be enhanced by machine learning |
title_short | Analysis of the Drosophila and human DPR elements reveals a distinct human variant whose specificity can be enhanced by machine learning |
title_sort | analysis of the drosophila and human dpr elements reveals a distinct human variant whose specificity can be enhanced by machine learning |
topic | Research Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10270198/ https://www.ncbi.nlm.nih.gov/pubmed/37163335 http://dx.doi.org/10.1101/gad.350572.123 |
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