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Network Walking charts transcriptional dynamics of nitrogen signaling by integrating validated and predicted genome-wide interactions
Charting a temporal path in gene networks requires linking early transcription factor (TF)-triggered events to downstream effects. We scale-up a cell-based TF-perturbation assay to identify direct regulated targets of 33 nitrogen (N)-early response TFs encompassing 88% of N-responsive Arabidopsis ge...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6451032/ https://www.ncbi.nlm.nih.gov/pubmed/30952851 http://dx.doi.org/10.1038/s41467-019-09522-1 |
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author | Brooks, Matthew D. Cirrone, Jacopo Pasquino, Angelo V. Alvarez, Jose M. Swift, Joseph Mittal, Shipra Juang, Che-Lun Varala, Kranthi Gutiérrez, Rodrigo A. Krouk, Gabriel Shasha, Dennis Coruzzi, Gloria M. |
author_facet | Brooks, Matthew D. Cirrone, Jacopo Pasquino, Angelo V. Alvarez, Jose M. Swift, Joseph Mittal, Shipra Juang, Che-Lun Varala, Kranthi Gutiérrez, Rodrigo A. Krouk, Gabriel Shasha, Dennis Coruzzi, Gloria M. |
author_sort | Brooks, Matthew D. |
collection | PubMed |
description | Charting a temporal path in gene networks requires linking early transcription factor (TF)-triggered events to downstream effects. We scale-up a cell-based TF-perturbation assay to identify direct regulated targets of 33 nitrogen (N)-early response TFs encompassing 88% of N-responsive Arabidopsis genes. We uncover a duality where each TF is an inducer and repressor, and in vitro cis-motifs are typically specific to regulation directionality. Validated TF-targets (71,836) are used to refine precision of a time-inferred root network, connecting 145 N-responsive TFs and 311 targets. These data are used to chart network paths from direct TF(1)-regulated targets identified in cells to indirect targets responding only in planta via Network Walking. We uncover network paths from TGA1 and CRF4 to direct TF(2) targets, which in turn regulate 76% and 87% of TF(1) indirect targets in planta, respectively. These results have implications for N-use and the approach can reveal temporal networks for any biological system. |
format | Online Article Text |
id | pubmed-6451032 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64510322019-04-08 Network Walking charts transcriptional dynamics of nitrogen signaling by integrating validated and predicted genome-wide interactions Brooks, Matthew D. Cirrone, Jacopo Pasquino, Angelo V. Alvarez, Jose M. Swift, Joseph Mittal, Shipra Juang, Che-Lun Varala, Kranthi Gutiérrez, Rodrigo A. Krouk, Gabriel Shasha, Dennis Coruzzi, Gloria M. Nat Commun Article Charting a temporal path in gene networks requires linking early transcription factor (TF)-triggered events to downstream effects. We scale-up a cell-based TF-perturbation assay to identify direct regulated targets of 33 nitrogen (N)-early response TFs encompassing 88% of N-responsive Arabidopsis genes. We uncover a duality where each TF is an inducer and repressor, and in vitro cis-motifs are typically specific to regulation directionality. Validated TF-targets (71,836) are used to refine precision of a time-inferred root network, connecting 145 N-responsive TFs and 311 targets. These data are used to chart network paths from direct TF(1)-regulated targets identified in cells to indirect targets responding only in planta via Network Walking. We uncover network paths from TGA1 and CRF4 to direct TF(2) targets, which in turn regulate 76% and 87% of TF(1) indirect targets in planta, respectively. These results have implications for N-use and the approach can reveal temporal networks for any biological system. Nature Publishing Group UK 2019-04-05 /pmc/articles/PMC6451032/ /pubmed/30952851 http://dx.doi.org/10.1038/s41467-019-09522-1 Text en © The Author(s) 2019 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Brooks, Matthew D. Cirrone, Jacopo Pasquino, Angelo V. Alvarez, Jose M. Swift, Joseph Mittal, Shipra Juang, Che-Lun Varala, Kranthi Gutiérrez, Rodrigo A. Krouk, Gabriel Shasha, Dennis Coruzzi, Gloria M. Network Walking charts transcriptional dynamics of nitrogen signaling by integrating validated and predicted genome-wide interactions |
title | Network Walking charts transcriptional dynamics of nitrogen signaling by integrating validated and predicted genome-wide interactions |
title_full | Network Walking charts transcriptional dynamics of nitrogen signaling by integrating validated and predicted genome-wide interactions |
title_fullStr | Network Walking charts transcriptional dynamics of nitrogen signaling by integrating validated and predicted genome-wide interactions |
title_full_unstemmed | Network Walking charts transcriptional dynamics of nitrogen signaling by integrating validated and predicted genome-wide interactions |
title_short | Network Walking charts transcriptional dynamics of nitrogen signaling by integrating validated and predicted genome-wide interactions |
title_sort | network walking charts transcriptional dynamics of nitrogen signaling by integrating validated and predicted genome-wide interactions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6451032/ https://www.ncbi.nlm.nih.gov/pubmed/30952851 http://dx.doi.org/10.1038/s41467-019-09522-1 |
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