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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...

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Detalles Bibliográficos
Autores principales: Vo ngoc, Long, Rhyne, Torrey E., Kadonaga, James T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2023
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.
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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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