Computational Methods and Applications for Identifying Disease-Associated lncRNAs as Potential Biomarkers and Therapeutic Targets
Long non-coding RNAs (lncRNAs) have been recognized as critical components of a broad genomic regulatory network and play pivotal roles in physiological and pathological processes. Identification of disease-associated lncRNAs is becoming increasingly crucial for fundamentally improving our understan...
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| Format: | Article |
| Language: | English |
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Elsevier
2020-09-01
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| Series: | Molecular Therapy: Nucleic Acids |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S216225312030144X |
| _version_ | 1819007215337472000 |
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| author | Congcong Yan Zicheng Zhang Siqi Bao Ping Hou Meng Zhou Chongyong Xu Jie Sun |
| author_facet | Congcong Yan Zicheng Zhang Siqi Bao Ping Hou Meng Zhou Chongyong Xu Jie Sun |
| author_sort | Congcong Yan |
| collection | DOAJ |
| description | Long non-coding RNAs (lncRNAs) have been recognized as critical components of a broad genomic regulatory network and play pivotal roles in physiological and pathological processes. Identification of disease-associated lncRNAs is becoming increasingly crucial for fundamentally improving our understanding of molecular mechanisms of disease and developing novel biomarkers and therapeutic targets. Considering lower efficiency and higher time and labor cost of biological experiments, computer-aided inference of disease-associated RNAs has become a promising avenue for facilitating the study of lncRNA functions and provides complementary value for experimental studies. In this study, we first summarize data and knowledge resources publicly available for the study of lncRNA-disease associations. Then, we present an updated systematic overview of dozens of computational methods and models for inferring lncRNA-disease associations proposed in recent years. Finally, we explore the perspectives and challenges for further studies. Our study provides a guide for biologists and medical scientists to look for dedicated resources and more competent tools for accelerating the unraveling of disease-associated lncRNAs. |
| first_indexed | 2024-12-21T00:21:02Z |
| format | Article |
| id | doaj.art-e77a36cd80a844d482016c3f629cd09b |
| institution | Directory Open Access Journal |
| issn | 2162-2531 |
| language | English |
| last_indexed | 2024-12-21T00:21:02Z |
| publishDate | 2020-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Molecular Therapy: Nucleic Acids |
| spelling | doaj.art-e77a36cd80a844d482016c3f629cd09b2022-12-21T19:22:06ZengElsevierMolecular Therapy: Nucleic Acids2162-25312020-09-0121156171Computational Methods and Applications for Identifying Disease-Associated lncRNAs as Potential Biomarkers and Therapeutic TargetsCongcong Yan0Zicheng Zhang1Siqi Bao2Ping Hou3Meng Zhou4Chongyong Xu5Jie Sun6School of Biomedical Engineering, School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, P.R. ChinaSchool of Biomedical Engineering, School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, P.R. ChinaSchool of Biomedical Engineering, School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, P.R. ChinaSchool of Biomedical Engineering, School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, P.R. ChinaSchool of Biomedical Engineering, School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, P.R. ChinaDepartment of Radiology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou 325027, P.R. China; Corresponding author: Chongyong Xu, Department of Radiology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou 325027, P.R. ChinaSchool of Biomedical Engineering, School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, P.R. China; Corresponding author: Jie Sun, School of Biomedical Engineering, School of Ophthalmology & Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou 325027, P.R. China.Long non-coding RNAs (lncRNAs) have been recognized as critical components of a broad genomic regulatory network and play pivotal roles in physiological and pathological processes. Identification of disease-associated lncRNAs is becoming increasingly crucial for fundamentally improving our understanding of molecular mechanisms of disease and developing novel biomarkers and therapeutic targets. Considering lower efficiency and higher time and labor cost of biological experiments, computer-aided inference of disease-associated RNAs has become a promising avenue for facilitating the study of lncRNA functions and provides complementary value for experimental studies. In this study, we first summarize data and knowledge resources publicly available for the study of lncRNA-disease associations. Then, we present an updated systematic overview of dozens of computational methods and models for inferring lncRNA-disease associations proposed in recent years. Finally, we explore the perspectives and challenges for further studies. Our study provides a guide for biologists and medical scientists to look for dedicated resources and more competent tools for accelerating the unraveling of disease-associated lncRNAs.http://www.sciencedirect.com/science/article/pii/S216225312030144Xlong non-coding RNAsdiseaselncRNA-disease associationcomputational methodbioinformatics |
| spellingShingle | Congcong Yan Zicheng Zhang Siqi Bao Ping Hou Meng Zhou Chongyong Xu Jie Sun Computational Methods and Applications for Identifying Disease-Associated lncRNAs as Potential Biomarkers and Therapeutic Targets Molecular Therapy: Nucleic Acids long non-coding RNAs disease lncRNA-disease association computational method bioinformatics |
| title | Computational Methods and Applications for Identifying Disease-Associated lncRNAs as Potential Biomarkers and Therapeutic Targets |
| title_full | Computational Methods and Applications for Identifying Disease-Associated lncRNAs as Potential Biomarkers and Therapeutic Targets |
| title_fullStr | Computational Methods and Applications for Identifying Disease-Associated lncRNAs as Potential Biomarkers and Therapeutic Targets |
| title_full_unstemmed | Computational Methods and Applications for Identifying Disease-Associated lncRNAs as Potential Biomarkers and Therapeutic Targets |
| title_short | Computational Methods and Applications for Identifying Disease-Associated lncRNAs as Potential Biomarkers and Therapeutic Targets |
| title_sort | computational methods and applications for identifying disease associated lncrnas as potential biomarkers and therapeutic targets |
| topic | long non-coding RNAs disease lncRNA-disease association computational method bioinformatics |
| url | http://www.sciencedirect.com/science/article/pii/S216225312030144X |
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