Cargando…
CRIT: Identifying RNA-binding protein regulator in circRNA life cycle via non-negative matrix factorization
Circular RNAs (circRNAs) are endogenous non-coding RNAs that regulate gene expression and participate in carcinogenesis. However, the RNA-binding proteins (RBPs) involved in circRNAs biogenesis and modulation remain largely unclear. We developed the circRNA regulator identification tool (CRIT), a no...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society of Gene & Cell Therapy
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664520/ https://www.ncbi.nlm.nih.gov/pubmed/36420213 http://dx.doi.org/10.1016/j.omtn.2022.10.015 |
_version_ | 1784831118690746368 |
---|---|
author | Shao, Mengting Hao, Shijia Jiang, Leiming Cai, Yujie Zhao, Xing Chen, Qiuyang Gao, Xuefei Xu, Jianzhen |
author_facet | Shao, Mengting Hao, Shijia Jiang, Leiming Cai, Yujie Zhao, Xing Chen, Qiuyang Gao, Xuefei Xu, Jianzhen |
author_sort | Shao, Mengting |
collection | PubMed |
description | Circular RNAs (circRNAs) are endogenous non-coding RNAs that regulate gene expression and participate in carcinogenesis. However, the RNA-binding proteins (RBPs) involved in circRNAs biogenesis and modulation remain largely unclear. We developed the circRNA regulator identification tool (CRIT), a non-negative matrix-factorization-based pipeline to identify regulating RBPs in cancers. CRIT uncovered 73 novel regulators across thousands of samples by effectively leveraging genomics data and functional annotations. We demonstrated that known RBPs involved in circRNA control are significantly enriched in these predictions. Analysis of circRNA-RBP interactions using two large cross-linking immunoprecipitation (CLIP) databases, we validated the consistency between CRIT prediction and the CLIP experiments. Furthermore, newly discovered RBPs are functionally connected with authentic circRNA regulators by various biological associations, such as physical interaction, similar binding motifs, common transcription factor modulation, and co-expression. When analyzing RNA sequencing (RNA-seq) datasets after short hairpin RNA (shRNA)/small interfering RNA (siRNA) knockdown, we found several novel RBPs that can affect global circRNA expression, which strengthens their role in the circRNA life cycle. The above evidence provided independent confirmation that CRIT is a useful tool to capture RBPs in circRNA processing. Finally, we show that authentic regulators are more likely the core splicing proteins and peripheral factors and usually harbor more alterations in the vast majority of cancers. |
format | Online Article Text |
id | pubmed-9664520 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Society of Gene & Cell Therapy |
record_format | MEDLINE/PubMed |
spelling | pubmed-96645202022-11-22 CRIT: Identifying RNA-binding protein regulator in circRNA life cycle via non-negative matrix factorization Shao, Mengting Hao, Shijia Jiang, Leiming Cai, Yujie Zhao, Xing Chen, Qiuyang Gao, Xuefei Xu, Jianzhen Mol Ther Nucleic Acids Original Article Circular RNAs (circRNAs) are endogenous non-coding RNAs that regulate gene expression and participate in carcinogenesis. However, the RNA-binding proteins (RBPs) involved in circRNAs biogenesis and modulation remain largely unclear. We developed the circRNA regulator identification tool (CRIT), a non-negative matrix-factorization-based pipeline to identify regulating RBPs in cancers. CRIT uncovered 73 novel regulators across thousands of samples by effectively leveraging genomics data and functional annotations. We demonstrated that known RBPs involved in circRNA control are significantly enriched in these predictions. Analysis of circRNA-RBP interactions using two large cross-linking immunoprecipitation (CLIP) databases, we validated the consistency between CRIT prediction and the CLIP experiments. Furthermore, newly discovered RBPs are functionally connected with authentic circRNA regulators by various biological associations, such as physical interaction, similar binding motifs, common transcription factor modulation, and co-expression. When analyzing RNA sequencing (RNA-seq) datasets after short hairpin RNA (shRNA)/small interfering RNA (siRNA) knockdown, we found several novel RBPs that can affect global circRNA expression, which strengthens their role in the circRNA life cycle. The above evidence provided independent confirmation that CRIT is a useful tool to capture RBPs in circRNA processing. Finally, we show that authentic regulators are more likely the core splicing proteins and peripheral factors and usually harbor more alterations in the vast majority of cancers. American Society of Gene & Cell Therapy 2022-10-28 /pmc/articles/PMC9664520/ /pubmed/36420213 http://dx.doi.org/10.1016/j.omtn.2022.10.015 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Article Shao, Mengting Hao, Shijia Jiang, Leiming Cai, Yujie Zhao, Xing Chen, Qiuyang Gao, Xuefei Xu, Jianzhen CRIT: Identifying RNA-binding protein regulator in circRNA life cycle via non-negative matrix factorization |
title | CRIT: Identifying RNA-binding protein regulator in circRNA life cycle via non-negative matrix factorization |
title_full | CRIT: Identifying RNA-binding protein regulator in circRNA life cycle via non-negative matrix factorization |
title_fullStr | CRIT: Identifying RNA-binding protein regulator in circRNA life cycle via non-negative matrix factorization |
title_full_unstemmed | CRIT: Identifying RNA-binding protein regulator in circRNA life cycle via non-negative matrix factorization |
title_short | CRIT: Identifying RNA-binding protein regulator in circRNA life cycle via non-negative matrix factorization |
title_sort | crit: identifying rna-binding protein regulator in circrna life cycle via non-negative matrix factorization |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664520/ https://www.ncbi.nlm.nih.gov/pubmed/36420213 http://dx.doi.org/10.1016/j.omtn.2022.10.015 |
work_keys_str_mv | AT shaomengting critidentifyingrnabindingproteinregulatorincircrnalifecyclevianonnegativematrixfactorization AT haoshijia critidentifyingrnabindingproteinregulatorincircrnalifecyclevianonnegativematrixfactorization AT jiangleiming critidentifyingrnabindingproteinregulatorincircrnalifecyclevianonnegativematrixfactorization AT caiyujie critidentifyingrnabindingproteinregulatorincircrnalifecyclevianonnegativematrixfactorization AT zhaoxing critidentifyingrnabindingproteinregulatorincircrnalifecyclevianonnegativematrixfactorization AT chenqiuyang critidentifyingrnabindingproteinregulatorincircrnalifecyclevianonnegativematrixfactorization AT gaoxuefei critidentifyingrnabindingproteinregulatorincircrnalifecyclevianonnegativematrixfactorization AT xujianzhen critidentifyingrnabindingproteinregulatorincircrnalifecyclevianonnegativematrixfactorization |