The DOI matches its Crossref record; 216 of the 216 references it cites were found in a registry or an index.
Long non-coding RNAs and complex diseases: from experimental results to computational models
Open accessAbstract
LncRNAs have attracted lots of attentions from researchers worldwide in recent decades. With the rapid advances in both experimental technology and computational prediction algorithm, thousands of lncRNA have been identified in eukaryotic organisms ranging from nematodes to humans in the past few years. More and more research evidences have indicated that lncRNAs are involved in almost the whole life cycle of cells through different mechanisms and play important roles in many critical biological processes. Therefore, it is not surprising that the mutations and dysregulations of lncRNAs would contribute to the development of various human complex diseases. In this review, we first made a brief introduction about the functions of lncRNAs, five important lncRNA-related diseases, five critical disease-related lncRNAs and some important publicly available lncRNA-related databases about sequence, expression, function, etc. Nowadays, only a limited number of lncRNAs have been experimentally reported to be related to human diseases. Therefore, analyzing available lncRNA-disease associations and predicting potential human lncRNA-disease associations have become important tasks of bioinformatics, which would benefit human complex diseases mechanism understanding at lncRNA level, disease biomarker detection and disease diagnosis, treatment, prognosis and prevention. Furthermore, we introduced some state-of-the-art computational models, which could be effectively used to identify disease-related lncRNAs on a large scale and select the most promising disease-related lncRNAs for experimental validation. We also analyzed the limitations of these models and discussed the future directions of developing computational models for lncRNA research.
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LncRNADisease 2.0: an updated database of long non-coding RNA-associated diseases
Bao, Z., Yang, Z., Huang, Z., Zhou, Y., Cui, Q., & Dong, D. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky905 · Cited by 560
PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction
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Self-citationLong Non-Coding RNA (lncRNA) Roles in Cell Biology, Neurodevelopment and Neurological Disorders
Aliperti, V., Skonieczna, J., & Cerase, A. (2021) · Non-Coding RNA · doi:10.3390/ncrna7020036 · Cited by 137
miRNA and mRNA expression analysis reveals potential sex-biased miRNA expression
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SASP regulation by noncoding RNA
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Metadata
- Authors
- Chen, X., Yan, C. C., Zhang, X., & You, Z.-H.
- Venue
- Briefings in Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-06-26
- Volume
- 18
- Issue
- 4
- Pages
- bbw060
- ISSN
- 1467-5463 (ISSN-L)
- 1477-4054
- OpenAlex
- W2462108616
- Cited by
- 567
- References
- 216
- FWCI
- 28.39
- Type
- journal article
- Language
- en
- Open access
- bronze
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