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Comprehensive prediction in 78 human cell lines reveals rigidity and compactness of transcription factor dimers

The binding of transcription factors (TFs) to their specific motifs in genomic regulatory regions is commonly studied in isolation. However, in order to elucidate the mechanisms of transcriptional regulation, it is essential to determine which TFs bind DNA cooperatively as dimers and to infer the pr...

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Autores principales: Jankowski, Aleksander, Szczurek, Ewa, Jauch, Ralf, Tiuryn, Jerzy, Prabhakar, Shyam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3730104/
https://www.ncbi.nlm.nih.gov/pubmed/23554463
http://dx.doi.org/10.1101/gr.154922.113
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author Jankowski, Aleksander
Szczurek, Ewa
Jauch, Ralf
Tiuryn, Jerzy
Prabhakar, Shyam
author_facet Jankowski, Aleksander
Szczurek, Ewa
Jauch, Ralf
Tiuryn, Jerzy
Prabhakar, Shyam
author_sort Jankowski, Aleksander
collection PubMed
description The binding of transcription factors (TFs) to their specific motifs in genomic regulatory regions is commonly studied in isolation. However, in order to elucidate the mechanisms of transcriptional regulation, it is essential to determine which TFs bind DNA cooperatively as dimers and to infer the precise nature of these interactions. So far, only a small number of such dimeric complexes are known. Here, we present an algorithm for predicting cell-type–specific TF–TF dimerization on DNA on a large scale, using DNase I hypersensitivity data from 78 human cell lines. We represented the universe of possible TF complexes by their corresponding motif complexes, and analyzed their occurrence at cell-type–specific DNase I hypersensitive sites. Based on ∼1.4 billion tests for motif complex enrichment, we predicted 603 highly significant cell-type–specific TF dimers, the vast majority of which are novel. Our predictions included 76% (19/25) of the known dimeric complexes and showed significant overlap with an experimental database of protein–protein interactions. They were also independently supported by evolutionary conservation, as well as quantitative variation in DNase I digestion patterns. Notably, the known and predicted TF dimers were almost always highly compact and rigidly spaced, suggesting that TFs dimerize in close proximity to their partners, which results in strict constraints on the structure of the DNA-bound complex. Overall, our results indicate that chromatin openness profiles are highly predictive of cell-type–specific TF–TF interactions. Moreover, cooperative TF dimerization seems to be a widespread phenomenon, with multiple TF complexes predicted in most cell types.
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spelling pubmed-37301042013-08-05 Comprehensive prediction in 78 human cell lines reveals rigidity and compactness of transcription factor dimers Jankowski, Aleksander Szczurek, Ewa Jauch, Ralf Tiuryn, Jerzy Prabhakar, Shyam Genome Res Method The binding of transcription factors (TFs) to their specific motifs in genomic regulatory regions is commonly studied in isolation. However, in order to elucidate the mechanisms of transcriptional regulation, it is essential to determine which TFs bind DNA cooperatively as dimers and to infer the precise nature of these interactions. So far, only a small number of such dimeric complexes are known. Here, we present an algorithm for predicting cell-type–specific TF–TF dimerization on DNA on a large scale, using DNase I hypersensitivity data from 78 human cell lines. We represented the universe of possible TF complexes by their corresponding motif complexes, and analyzed their occurrence at cell-type–specific DNase I hypersensitive sites. Based on ∼1.4 billion tests for motif complex enrichment, we predicted 603 highly significant cell-type–specific TF dimers, the vast majority of which are novel. Our predictions included 76% (19/25) of the known dimeric complexes and showed significant overlap with an experimental database of protein–protein interactions. They were also independently supported by evolutionary conservation, as well as quantitative variation in DNase I digestion patterns. Notably, the known and predicted TF dimers were almost always highly compact and rigidly spaced, suggesting that TFs dimerize in close proximity to their partners, which results in strict constraints on the structure of the DNA-bound complex. Overall, our results indicate that chromatin openness profiles are highly predictive of cell-type–specific TF–TF interactions. Moreover, cooperative TF dimerization seems to be a widespread phenomenon, with multiple TF complexes predicted in most cell types. Cold Spring Harbor Laboratory Press 2013-08 /pmc/articles/PMC3730104/ /pubmed/23554463 http://dx.doi.org/10.1101/gr.154922.113 Text en © 2013, Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by-nc/3.0/ This article, published in Genome Research, is available under a Creative Commons License (Attribution-NonCommercial 3.0 Unported), as described at http://creativecommons.org/licenses/by-nc/3.0/.
spellingShingle Method
Jankowski, Aleksander
Szczurek, Ewa
Jauch, Ralf
Tiuryn, Jerzy
Prabhakar, Shyam
Comprehensive prediction in 78 human cell lines reveals rigidity and compactness of transcription factor dimers
title Comprehensive prediction in 78 human cell lines reveals rigidity and compactness of transcription factor dimers
title_full Comprehensive prediction in 78 human cell lines reveals rigidity and compactness of transcription factor dimers
title_fullStr Comprehensive prediction in 78 human cell lines reveals rigidity and compactness of transcription factor dimers
title_full_unstemmed Comprehensive prediction in 78 human cell lines reveals rigidity and compactness of transcription factor dimers
title_short Comprehensive prediction in 78 human cell lines reveals rigidity and compactness of transcription factor dimers
title_sort comprehensive prediction in 78 human cell lines reveals rigidity and compactness of transcription factor dimers
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3730104/
https://www.ncbi.nlm.nih.gov/pubmed/23554463
http://dx.doi.org/10.1101/gr.154922.113
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