Dataset Information

Comprehensive in vivo RNA-binding site analyses reveal a role of Prp8 in spliceosomal assembly.

ABSTRACT: Prp8 stands out among hundreds of splicing factors as a protein that is intimately involved in spliceosomal activation and the catalytic reaction. Here, we present the first comprehensive in vivo RNA footprints for Prp8 in budding yeast obtained using CLIP (cross-linking and immunoprecipitation)/CRAC (cross-linking and analyses of cDNAs) and next-generation DNA sequencing. These footprints encompass known direct Prp8-binding sites on U5, U6 snRNA and intron-containing pre-mRNAs identified using site-directed cross-linking with in vitro assembled small nuclear ribonucleoproteins (snRNPs) or spliceosome. Furthermore, our results revealed novel Prp8-binding sites on U1 and U2 snRNAs. We demonstrate that Prp8 directly cross-links with U2, U5 and U6 snRNAs and pre-mRNA in purified activated spliceosomes, placing Prp8 in position to bring the components of the active site together. In addition, disruption of the Prp8 and U1 snRNA interaction reduces tri-snRNP level in the spliceosome, suggesting a previously unknown role of Prp8 in spliceosomal assembly through its interaction with U1 snRNA.

SUBMITTER: Li X

PROVIDER: S-EPMC3616732 | biostudies-literature | 2013 Apr

REPOSITORIES: biostudies-literature

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Comprehensive in vivo RNA-binding site analyses reveal a role of Prp8 in spliceosomal assembly.

Li Xueni X Zhang Wenzheng W Xu Tao T Ramsey Jolene J Zhang Lingdi L Hill Ryan R Hansen Kirk C KC Hesselberth Jay R JR Zhao Rui R

Nucleic acids research 20130207 6

Prp8 stands out among hundreds of splicing factors as a protein that is intimately involved in spliceosomal activation and the catalytic reaction. Here, we present the first comprehensive in vivo RNA footprints for Prp8 in budding yeast obtained using CLIP (cross-linking and immunoprecipitation)/CRAC (cross-linking and analyses of cDNAs) and next-generation DNA sequencing. These footprints encompass known direct Prp8-binding sites on U5, U6 snRNA and intron-containing pre-mRNAs identified using ...[more]

PMID: 23393194

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Project description:BackgroundHepatocellular carcinoma (HCC) is one of the most common and deadly malignant tumors, with a high rate of recurrence worldwide. This study aimed to investigate the mechanism underlying the progression of HCC and to identify recurrence-related biomarkers.MethodsWe first analyzed 132 HCC patients with paired tumor and adjacent normal tissue samples from the Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs). The expression profiles and clinical information of 372 HCC patients from The Cancer Genome Atlas (TCGA) database were next analyzed to further validate the DEGs, construct competing endogenous RNA (ceRNA) networks and discover the prognostic genes associated with recurrence. Finally, several recurrence-related genes were evaluated in two external cohorts, consisting of fifty-two and forty-nine HCC patients, respectively.ResultsWith the comprehensive strategies of data mining, two potential interactive ceRNA networks were constructed based on the competitive relationships of the ceRNA hypothesis. The 'upregulated' ceRNA network consists of 6 upregulated lncRNAs, 3 downregulated miRNAs and 5 upregulated mRNAs, and the 'downregulated' network includes 4 downregulated lncRNAs, 12 upregulated miRNAs and 67 downregulated mRNAs. Survival analysis of the genes in the ceRNA networks demonstrated that 20 mRNAs were significantly associated with recurrence-free survival (RFS). Based on the prognostic mRNAs, a four-gene signature (ADH4, DNASE1L3, HGFAC and MELK) was established with the least absolute shrinkage and selection operator (LASSO) algorithm to predict the RFS of HCC patients, the performance of which was evaluated by receiver operating characteristic curves. The signature was also validated in two external cohort and displayed effective discrimination and prediction for the RFS of HCC patients.ConclusionsIn conclusion, the present study elucidated the underlying mechanisms of tumorigenesis and progression, provided two visualized ceRNA networks and successfully identified several potential biomarkers for HCC recurrence prediction and targeted therapies.

Dataset Information

Comprehensive in vivo RNA-binding site analyses reveal a role of Prp8 in spliceosomal assembly.

Publications

Comprehensive in vivo RNA-binding site analyses reveal a role of Prp8 in spliceosomal assembly.

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