Huang, H. Y., Lin, Y. C. D., Li, J., Huang, K. Y., Shrestha, S., Hong, H. C., Tang, Y., Chen, Y. G., Jin, C. N., Yu, Y., Xu, J. T., Li, Y. M., Cai, X. X., Zhou, Z. Y., Chen, X. H., Pei, Y. Y., Hu, L., Su, J. J., Cui, S. D., ... Huang, H. D. (2020). MiRTarBase 2020: Updates to the experimentally validated microRNA-target interaction database. Nucleic Acids Research, 48(D1), D148-D154. https://doi.org/10.1093/nar/gkz896
@article{6c93dedbb1854806bc37904d47342dda,
title = "MiRTarBase 2020: Updates to the experimentally validated microRNA-target interaction database",
abstract = "MicroRNAs (miRNAs) are small non-coding RNAs (typically consisting of 18-25 nucleotides) that negatively control expression of target genes at the post-transcriptional level. Owing to the biological significance of miRNAs, miRTarBase was developed to provide comprehensive information on experimentally validated miRNA-target interactions (MTIs). To date, the database has accumulated >13,404 validated MTIs from 11,021 articles from manual curations. In this update, a text-mining system was incorporated to enhance the recognition of MTI-related articles by adopting a scoring system. In addition, a variety of biological databases were integrated to provide information on the regulatory network of miRNAs and its expression in blood. Not only targets of miRNAs but also regulators of miRNAs are provided to users for investigating the up-and downstream regulations of miRNAs. Moreover, the number of MTIs with high-throughput experimental evidence increased remarkably (validated by CLIP-seq technology). In conclusion, these improvements promote the miRTarBase as one of the most comprehensively annotated and experimentally validated miRNA-target interaction databases. The updated version of miRTarBase is now available at http://miRTarBase.cuhk.edu.cn/.",
author = "Huang, {Hsi Yuan} and Lin, {Yang Chi Dung} and Jing Li and Huang, {Kai Yao} and Sirjana Shrestha and Hong, {Hsiao Chin} and Yun Tang and Chen, {Yi Gang} and Jin, {Chen Nan} and Yuan Yu and Xu, {Jia Tong} and Li, {Yue Ming} and Cai, {Xiao Xuan} and Zhou, {Zhen Yu} and Chen, {Xiao Hang} and Pei, {Yuan Yuan} and Liang Hu and Su, {Jin Jiang} and Cui, {Shi Dong} and Fei Wang and Xie, {Yue Yang} and Ding, {Si Yuan} and Luo, {Meng Fan} and Chou, {Chih Hung} and Chang, {Nai Wen} and Chen, {Kai Wen} and Cheng, {Yu Hsiang} and Wan, {Xin Hong} and Hsu, {Wen Lian} and Lee, {Tzong Yi} and Wei, {Feng Xiang} and Huang, {Hsien Da}",
note = "Funding Information: Warshel Institute for Computational Biology funding from Shenzhen City and Longgang District; Ganghong Young Scholar Development Fund of Shenzhen Ganghong Group Co., Ltd. {\textquoteleft}Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B){\textquoteright} from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan. Conflict of interest statement. None declared. Publisher Copyright: {\textcopyright} 2019 The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research.",
year = "2020",
month = jan,
day = "1",
doi = "10.1093/nar/gkz896",
language = "English",
volume = "48",
pages = "D148--D154",
journal = "Nucleic Acids Research",
issn = "0305-1048",
publisher = "Oxford University Press",
number = "D1",
}
Huang, HY, Lin, YCD, Li, J, Huang, KY, Shrestha, S, Hong, HC, Tang, Y, Chen, YG, Jin, CN, Yu, Y, Xu, JT, Li, YM, Cai, XX, Zhou, ZY, Chen, XH, Pei, YY, Hu, L, Su, JJ, Cui, SD, Wang, F, Xie, YY, Ding, SY, Luo, MF, Chou, CH, Chang, NW, Chen, KW, Cheng, YH, Wan, XH, Hsu, WL, Lee, TY, Wei, FX & Huang, HD 2020, 'MiRTarBase 2020: Updates to the experimentally validated microRNA-target interaction database', Nucleic Acids Research, vol. 48, no. D1, pp. D148-D154. https://doi.org/10.1093/nar/gkz896
TY - JOUR
T1 - MiRTarBase 2020
T2 - Updates to the experimentally validated microRNA-target interaction database
AU - Huang, Hsi Yuan
AU - Lin, Yang Chi Dung
AU - Li, Jing
AU - Huang, Kai Yao
AU - Shrestha, Sirjana
AU - Hong, Hsiao Chin
AU - Tang, Yun
AU - Chen, Yi Gang
AU - Jin, Chen Nan
AU - Yu, Yuan
AU - Xu, Jia Tong
AU - Li, Yue Ming
AU - Cai, Xiao Xuan
AU - Zhou, Zhen Yu
AU - Chen, Xiao Hang
AU - Pei, Yuan Yuan
AU - Hu, Liang
AU - Su, Jin Jiang
AU - Cui, Shi Dong
AU - Wang, Fei
AU - Xie, Yue Yang
AU - Ding, Si Yuan
AU - Luo, Meng Fan
AU - Chou, Chih Hung
AU - Chang, Nai Wen
AU - Chen, Kai Wen
AU - Cheng, Yu Hsiang
AU - Wan, Xin Hong
AU - Hsu, Wen Lian
AU - Lee, Tzong Yi
AU - Wei, Feng Xiang
AU - Huang, Hsien Da
N1 - Funding Information:
Warshel Institute for Computational Biology funding from Shenzhen City and Longgang District; Ganghong Young Scholar Development Fund of Shenzhen Ganghong Group Co., Ltd. ‘Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B)’ from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan. Conflict of interest statement. None declared.
Publisher Copyright:
© 2019 The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - MicroRNAs (miRNAs) are small non-coding RNAs (typically consisting of 18-25 nucleotides) that negatively control expression of target genes at the post-transcriptional level. Owing to the biological significance of miRNAs, miRTarBase was developed to provide comprehensive information on experimentally validated miRNA-target interactions (MTIs). To date, the database has accumulated >13,404 validated MTIs from 11,021 articles from manual curations. In this update, a text-mining system was incorporated to enhance the recognition of MTI-related articles by adopting a scoring system. In addition, a variety of biological databases were integrated to provide information on the regulatory network of miRNAs and its expression in blood. Not only targets of miRNAs but also regulators of miRNAs are provided to users for investigating the up-and downstream regulations of miRNAs. Moreover, the number of MTIs with high-throughput experimental evidence increased remarkably (validated by CLIP-seq technology). In conclusion, these improvements promote the miRTarBase as one of the most comprehensively annotated and experimentally validated miRNA-target interaction databases. The updated version of miRTarBase is now available at http://miRTarBase.cuhk.edu.cn/.
AB - MicroRNAs (miRNAs) are small non-coding RNAs (typically consisting of 18-25 nucleotides) that negatively control expression of target genes at the post-transcriptional level. Owing to the biological significance of miRNAs, miRTarBase was developed to provide comprehensive information on experimentally validated miRNA-target interactions (MTIs). To date, the database has accumulated >13,404 validated MTIs from 11,021 articles from manual curations. In this update, a text-mining system was incorporated to enhance the recognition of MTI-related articles by adopting a scoring system. In addition, a variety of biological databases were integrated to provide information on the regulatory network of miRNAs and its expression in blood. Not only targets of miRNAs but also regulators of miRNAs are provided to users for investigating the up-and downstream regulations of miRNAs. Moreover, the number of MTIs with high-throughput experimental evidence increased remarkably (validated by CLIP-seq technology). In conclusion, these improvements promote the miRTarBase as one of the most comprehensively annotated and experimentally validated miRNA-target interaction databases. The updated version of miRTarBase is now available at http://miRTarBase.cuhk.edu.cn/.
UR - http://www.scopus.com/inward/record.url?scp=85077235594&partnerID=8YFLogxK
U2 - 10.1093/nar/gkz896
DO - 10.1093/nar/gkz896
M3 - Article
C2 - 31647101
AN - SCOPUS:85077235594
SN - 0305-1048
VL - 48
SP - D148-D154
JO - Nucleic Acids Research
JF - Nucleic Acids Research
IS - D1
ER -
