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dreamBase: DNA modification, RNA regulation and protein binding of expressed pseudogenes in human health and disease

Although thousands of pseudogenes have been annotated in the human genome, their transcriptional regulation, expression profiles and functional mechanisms are largely unknown. In this study, we developed dreamBase (http://rna.sysu.edu.cn/dreamBase) to facilitate the investigation of DNA modification...

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Autores principales: Zheng, Ling-Ling, Zhou, Ke-Ren, Liu, Shun, Zhang, Ding-Yao, Wang, Ze-Lin, Chen, Zhi-Rong, Yang, Jian-Hua, Qu, Liang-Hu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753186/
https://www.ncbi.nlm.nih.gov/pubmed/29059382
http://dx.doi.org/10.1093/nar/gkx972
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author Zheng, Ling-Ling
Zhou, Ke-Ren
Liu, Shun
Zhang, Ding-Yao
Wang, Ze-Lin
Chen, Zhi-Rong
Yang, Jian-Hua
Qu, Liang-Hu
author_facet Zheng, Ling-Ling
Zhou, Ke-Ren
Liu, Shun
Zhang, Ding-Yao
Wang, Ze-Lin
Chen, Zhi-Rong
Yang, Jian-Hua
Qu, Liang-Hu
author_sort Zheng, Ling-Ling
collection PubMed
description Although thousands of pseudogenes have been annotated in the human genome, their transcriptional regulation, expression profiles and functional mechanisms are largely unknown. In this study, we developed dreamBase (http://rna.sysu.edu.cn/dreamBase) to facilitate the investigation of DNA modification, RNA regulation and protein binding of potential expressed pseudogenes from multidimensional high-throughput sequencing data. Based on ∼5500 ChIP-seq and DNase-seq datasets, we identified genome-wide binding profiles of various transcription-associated factors around pseudogene loci. By integrating ∼18 000 RNA-seq data, we analysed the expression profiles of pseudogenes and explored their co-expression patterns with their parent genes in 32 cancers and 31 normal tissues. By combining microRNA binding sites, we demonstrated complex post-transcriptional regulation networks involving 275 microRNAs and 1201 pseudogenes. We generated ceRNA networks to illustrate the crosstalk between pseudogenes and their parent genes through competitive binding of microRNAs. In addition, we studied transcriptome-wide interactions between RNA binding proteins (RBPs) and pseudogenes based on 458 CLIP-seq datasets. In conjunction with epitranscriptome sequencing data, we also mapped 1039 RNA modification sites onto 635 pseudogenes. This database will provide insights into the transcriptional regulation, expression, functions and mechanisms of pseudogenes as well as their roles in biological processes and diseases.
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spelling pubmed-57531862018-01-05 dreamBase: DNA modification, RNA regulation and protein binding of expressed pseudogenes in human health and disease Zheng, Ling-Ling Zhou, Ke-Ren Liu, Shun Zhang, Ding-Yao Wang, Ze-Lin Chen, Zhi-Rong Yang, Jian-Hua Qu, Liang-Hu Nucleic Acids Res Database Issue Although thousands of pseudogenes have been annotated in the human genome, their transcriptional regulation, expression profiles and functional mechanisms are largely unknown. In this study, we developed dreamBase (http://rna.sysu.edu.cn/dreamBase) to facilitate the investigation of DNA modification, RNA regulation and protein binding of potential expressed pseudogenes from multidimensional high-throughput sequencing data. Based on ∼5500 ChIP-seq and DNase-seq datasets, we identified genome-wide binding profiles of various transcription-associated factors around pseudogene loci. By integrating ∼18 000 RNA-seq data, we analysed the expression profiles of pseudogenes and explored their co-expression patterns with their parent genes in 32 cancers and 31 normal tissues. By combining microRNA binding sites, we demonstrated complex post-transcriptional regulation networks involving 275 microRNAs and 1201 pseudogenes. We generated ceRNA networks to illustrate the crosstalk between pseudogenes and their parent genes through competitive binding of microRNAs. In addition, we studied transcriptome-wide interactions between RNA binding proteins (RBPs) and pseudogenes based on 458 CLIP-seq datasets. In conjunction with epitranscriptome sequencing data, we also mapped 1039 RNA modification sites onto 635 pseudogenes. This database will provide insights into the transcriptional regulation, expression, functions and mechanisms of pseudogenes as well as their roles in biological processes and diseases. Oxford University Press 2018-01-04 2017-10-20 /pmc/articles/PMC5753186/ /pubmed/29059382 http://dx.doi.org/10.1093/nar/gkx972 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Zheng, Ling-Ling
Zhou, Ke-Ren
Liu, Shun
Zhang, Ding-Yao
Wang, Ze-Lin
Chen, Zhi-Rong
Yang, Jian-Hua
Qu, Liang-Hu
dreamBase: DNA modification, RNA regulation and protein binding of expressed pseudogenes in human health and disease
title dreamBase: DNA modification, RNA regulation and protein binding of expressed pseudogenes in human health and disease
title_full dreamBase: DNA modification, RNA regulation and protein binding of expressed pseudogenes in human health and disease
title_fullStr dreamBase: DNA modification, RNA regulation and protein binding of expressed pseudogenes in human health and disease
title_full_unstemmed dreamBase: DNA modification, RNA regulation and protein binding of expressed pseudogenes in human health and disease
title_short dreamBase: DNA modification, RNA regulation and protein binding of expressed pseudogenes in human health and disease
title_sort dreambase: dna modification, rna regulation and protein binding of expressed pseudogenes in human health and disease
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753186/
https://www.ncbi.nlm.nih.gov/pubmed/29059382
http://dx.doi.org/10.1093/nar/gkx972
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