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Multiple transcription factors contribute to inter-chromosomal interaction in yeast
BACKGROUND: Chromatin interactions medicated by genomic elements located throughout the genome play important roles in gene regulation and can be identified with the technologies such as high-throughput chromosome conformation capture (Hi-C), followed by next-generation sequencing. These techniques...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302461/ https://www.ncbi.nlm.nih.gov/pubmed/30577873 http://dx.doi.org/10.1186/s12918-018-0643-1 |
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author | Dai, Yulin Li, Chao Pei, Guangsheng Dong, Xiao Ding, Guohui Zhao, Zhongming Li, Yixue Jia, Peilin |
author_facet | Dai, Yulin Li, Chao Pei, Guangsheng Dong, Xiao Ding, Guohui Zhao, Zhongming Li, Yixue Jia, Peilin |
author_sort | Dai, Yulin |
collection | PubMed |
description | BACKGROUND: Chromatin interactions medicated by genomic elements located throughout the genome play important roles in gene regulation and can be identified with the technologies such as high-throughput chromosome conformation capture (Hi-C), followed by next-generation sequencing. These techniques were wildly used to reveal the relative spatial disposition of chromatins in human, mouse and yeast. Unlike metazoan where CTCF plays major roles in mediating chromatin interactions, in yeast, the transcription factors (TFs) involved in this biological process are poorly known. RESULTS: Here, we presented two computational approaches to estimate the TFs enriched in the chromatin physical inter-chromosomal interactions in yeast. Through the Chi-square method, we found TFs whose binding data are differentially distributed in different interaction groups, including Cin5, Stp1 and Sut1, whose binding data are negatively correlated with the chromosome spatial distance. A multivariate linear regression model was employed to estimate the potential contribution of different transcription factors against the physical distance of chromosomes. Rlr1, Set12 and Dig1 were found to be top positively participated in these chromosomal interactions. Ste12 was highlighted to be involved in gene reposition. Overall, we found 10 TFs enriched from both computational approaches, potentially to be involved in inter-chromosomal interactions. CONCLUSIONS: No transcription factor (TF) in our study was found to have a dominant impact on the inter-chromosomal interaction as CTCF did in human or other metazoan, suggesting species without CTCF might have different regulatory systems in mediating inter-chromosomal interactions. In summary, we presented a systematic examination of TFs involved in chromatin interaction in yeast and the results provide candidate TFs for future studies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12918-018-0643-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6302461 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63024612018-12-31 Multiple transcription factors contribute to inter-chromosomal interaction in yeast Dai, Yulin Li, Chao Pei, Guangsheng Dong, Xiao Ding, Guohui Zhao, Zhongming Li, Yixue Jia, Peilin BMC Syst Biol Research BACKGROUND: Chromatin interactions medicated by genomic elements located throughout the genome play important roles in gene regulation and can be identified with the technologies such as high-throughput chromosome conformation capture (Hi-C), followed by next-generation sequencing. These techniques were wildly used to reveal the relative spatial disposition of chromatins in human, mouse and yeast. Unlike metazoan where CTCF plays major roles in mediating chromatin interactions, in yeast, the transcription factors (TFs) involved in this biological process are poorly known. RESULTS: Here, we presented two computational approaches to estimate the TFs enriched in the chromatin physical inter-chromosomal interactions in yeast. Through the Chi-square method, we found TFs whose binding data are differentially distributed in different interaction groups, including Cin5, Stp1 and Sut1, whose binding data are negatively correlated with the chromosome spatial distance. A multivariate linear regression model was employed to estimate the potential contribution of different transcription factors against the physical distance of chromosomes. Rlr1, Set12 and Dig1 were found to be top positively participated in these chromosomal interactions. Ste12 was highlighted to be involved in gene reposition. Overall, we found 10 TFs enriched from both computational approaches, potentially to be involved in inter-chromosomal interactions. CONCLUSIONS: No transcription factor (TF) in our study was found to have a dominant impact on the inter-chromosomal interaction as CTCF did in human or other metazoan, suggesting species without CTCF might have different regulatory systems in mediating inter-chromosomal interactions. In summary, we presented a systematic examination of TFs involved in chromatin interaction in yeast and the results provide candidate TFs for future studies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12918-018-0643-1) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-21 /pmc/articles/PMC6302461/ /pubmed/30577873 http://dx.doi.org/10.1186/s12918-018-0643-1 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Dai, Yulin Li, Chao Pei, Guangsheng Dong, Xiao Ding, Guohui Zhao, Zhongming Li, Yixue Jia, Peilin Multiple transcription factors contribute to inter-chromosomal interaction in yeast |
title | Multiple transcription factors contribute to inter-chromosomal interaction in yeast |
title_full | Multiple transcription factors contribute to inter-chromosomal interaction in yeast |
title_fullStr | Multiple transcription factors contribute to inter-chromosomal interaction in yeast |
title_full_unstemmed | Multiple transcription factors contribute to inter-chromosomal interaction in yeast |
title_short | Multiple transcription factors contribute to inter-chromosomal interaction in yeast |
title_sort | multiple transcription factors contribute to inter-chromosomal interaction in yeast |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302461/ https://www.ncbi.nlm.nih.gov/pubmed/30577873 http://dx.doi.org/10.1186/s12918-018-0643-1 |
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