| URL: | http://rna.sysu.edu.cn/dreamBase |
| Full name: | DNA Modification, RNA Regulation and Protein Binding on Expressed Pseudogenes in Human Health and Disease |
| Description: | dreamBase (DNA Modification, RNA Regulation and Protein Binding on Expressed Pseudogenes in Human Health and Disease) is an integrated platform for analysing regualtory features of pseudogenes from multi-dimensional high-throughput sequencing data. Based on ~5500 ChIP-seq and DNase-seq data, dreamBase provides genome-wide distribution patterns of Transcription Factors, Pol II, Histone Modifications and Dnase Hypersensitivity sites around the transcription start sites of pseudogenes. |
| Year founded: | 2018 |
| Last update: | |
| Version: | |
| Accessibility: |
Accessible
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| Country/Region: | China |
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| University/Institution: | Sun Yat-Sen University |
| Address: | Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou 510275, PR China |
| City: | Zhongshan |
| Province/State: | Guangdong |
| Country/Region: | China |
| Contact name (PI/Team): | Jian-Hua Yang |
| Contact email (PI/Helpdesk): | yangjh7@mail.sysu.edu.cn |
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dreamBase: DNA modification, RNA regulation and protein binding of expressed pseudogenes in human health and disease. [PMID: 29059382]
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. |