2022
DOI: 10.1016/j.omtn.2022.10.015
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CRIT: Identifying RNA-binding protein regulator in circRNA life cycle via non-negative matrix factorization

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Cited by 6 publications
(2 citation statements)
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“…Recently, circRNA regulator identification tool (CRIT) has utilized multiple datasets such as gene alteration, clinical significance, gene ontology (GO) similarity, and transcriptome data collected from twelve cancer types. All the data are subjected to being characterized and clustered using non-negative matrix factorization (NMF), resulting in 73 predicted candidates and 17 known candidates [ 217 ]. Therefore, CRIT might be another efficient tool for predicting circRNA–protein interactions, as it revealed both novel and known regulators.…”
Section: Conclusion and Future Perspectivesmentioning
confidence: 99%
“…Recently, circRNA regulator identification tool (CRIT) has utilized multiple datasets such as gene alteration, clinical significance, gene ontology (GO) similarity, and transcriptome data collected from twelve cancer types. All the data are subjected to being characterized and clustered using non-negative matrix factorization (NMF), resulting in 73 predicted candidates and 17 known candidates [ 217 ]. Therefore, CRIT might be another efficient tool for predicting circRNA–protein interactions, as it revealed both novel and known regulators.…”
Section: Conclusion and Future Perspectivesmentioning
confidence: 99%
“…For example, RBP Polypyrimidine tract binding protein 1 (PTBP1) is reported to repress the expression of circ_0076611, whose interaction with diverse proliferation-related transcripts (MYC and VEGFA mRNAs) augments cell proliferation and migration in triple-negative breast cancer cells, the RBP oncogenic splicing factor SRSF1 (Serine And Arginine Rich Splicing Factor 1) encourages this expression after the inactivation of PTBP1 protein by the long non-coding RNAs (lncRNA) MALAT1 (metastasis-associated lung adenocarcinoma transcript 1 [ 46 ]. Several novel RBPs regulating circRNA functions in tumorigenesis, such as SRSF5, HNRNPA2B1, HNRNPF, KHSRP, or PSIP1, have also been unveiled [ 47 ].…”
Section: General Roles Attributed To Rna-binding Proteinsmentioning
confidence: 99%