Literature DB >> 29059382

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

Ling-Ling Zheng1, Ke-Ren Zhou1, Shun Liu1, Ding-Yao Zhang1, Ze-Lin Wang1, Zhi-Rong Chen1, Jian-Hua Yang1, Liang-Hu Qu1.   

Abstract

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.
© The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2018        PMID: 29059382      PMCID: PMC5753186          DOI: 10.1093/nar/gkx972

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  57 in total

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Journal:  Mol Ther       Date:  2017-01-25       Impact factor: 11.454

Review 4.  Epitranscriptome sequencing technologies: decoding RNA modifications.

Authors:  Xiaoyu Li; Xushen Xiong; Chengqi Yi
Journal:  Nat Methods       Date:  2016-12-29       Impact factor: 28.547

5.  Transcriptional regulation of human insulin receptor gene by the high-mobility group protein HMGI(Y).

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7.  The GENCODE pseudogene resource.

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Journal:  Genome Biol       Date:  2012-09-26       Impact factor: 13.583

8.  starBase v2.0: decoding miRNA-ceRNA, miRNA-ncRNA and protein-RNA interaction networks from large-scale CLIP-Seq data.

Authors:  Jun-Hao Li; Shun Liu; Hui Zhou; Liang-Hu Qu; Jian-Hua Yang
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Journal:  Database (Oxford)       Date:  2016-06-23       Impact factor: 3.451

Review 10.  Pseudogenes regulate parental gene expression via ceRNA network.

Authors:  Yang An; Kendra L Furber; Shaoping Ji
Journal:  J Cell Mol Med       Date:  2016-08-25       Impact factor: 5.310

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  23 in total

1.  Pseudogenes: Four Decades of Discovery.

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Journal:  Methods Mol Biol       Date:  2021

2.  PseudoFuN: Deriving functional potentials of pseudogenes from integrative relationships with genes and microRNAs across 32 cancers.

Authors:  Travis S Johnson; Sihong Li; Eric Franz; Zhi Huang; Shuyu Dan Li; Moray J Campbell; Kun Huang; Yan Zhang
Journal:  Gigascience       Date:  2019-05-01       Impact factor: 6.524

3.  Illuminating lncRNA Function Through Target Prediction.

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4.  Identification of a 15-pseudogene based prognostic signature for predicting survival and antitumor immune response in breast cancer.

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Journal:  Aging (Albany NY)       Date:  2020-12-16       Impact factor: 5.682

5.  TUSC2P suppresses the tumor function of esophageal squamous cell carcinoma by regulating TUSC2 expression and correlates with disease prognosis.

Authors:  Fengqiong Liu; Ruijie Gong; Baochang He; Fa Chen; Zhijian Hu
Journal:  BMC Cancer       Date:  2018-09-15       Impact factor: 4.430

6.  Overexpressed pseudogenes, DUXAP8 and DUXAP9, promote growth of renal cell carcinoma and serve as unfavorable prognostic biomarkers.

Authors:  Jing Chen; Weiyang Lou; Bisha Ding; Xian Wang
Journal:  Aging (Albany NY)       Date:  2019-08-13       Impact factor: 5.682

7.  A disparate role of RP11-424C20.2/UHRF1 axis through control of tumor immune escape in liver hepatocellular carcinoma and thymoma.

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8.  Pseudogene ACTBP2 increases blood-brain barrier permeability by promoting KHDRBS2 transcription through recruitment of KMT2D/WDR5 in Aβ1-42 microenvironment.

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Review 9.  PTEN/PTENP1: 'Regulating the regulator of RTK-dependent PI3K/Akt signalling', new targets for cancer therapy.

Authors:  Nahal Haddadi; Yiguang Lin; Glena Travis; Ann M Simpson; Najah T Nassif; Eileen M McGowan
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10.  Positive natural selection of N6-methyladenosine on the RNAs of processed pseudogenes.

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Journal:  Genome Biol       Date:  2021-06-13       Impact factor: 13.583

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