ACU&MOX-DATA: a platform for fusion analysis and visual display acupuncture multi-omics heterogeneous data

Qiaofeng Wu , Shuqing Liu , Ruibin Zhang , Qiang Tang , Longcong Dong , Sihui Li , Shuguang Yu

Acupuncture and Herbal Medicine ›› 2023, Vol. 3 ›› Issue (1) : 59 -62.

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Acupuncture and Herbal Medicine ›› 2023, Vol. 3 ›› Issue (1) : 59 -62. DOI: 10.1097/HM9.0000000000000051
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ACU&MOX-DATA: a platform for fusion analysis and visual display acupuncture multi-omics heterogeneous data

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Abstract

A new network platform named ACU&MOX-DATA (http://cbcb.cdutcm.edu.cn/ACU&MOX-DATA/) was recently set up and introduced. The purpose of this website is to integrate and analyze multi-omics data of acupuncture and moxibustion and serve as a disease, clinical, and laboratory experiment public database. Some existing functions and the future plan of the website were also discussed. This platform can help researchers to integrate analyses and visual interpretation of key scientific issues in acupuncture & moxibustion under the guidance of traditional Chinese medicine theory through heterogeneous and multi-level data fusion analysis.

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Qiaofeng Wu, Shuqing Liu, Ruibin Zhang, Qiang Tang, Longcong Dong, Sihui Li, Shuguang Yu. ACU&MOX-DATA: a platform for fusion analysis and visual display acupuncture multi-omics heterogeneous data. Acupuncture and Herbal Medicine, 2023, 3(1): 59-62 DOI:10.1097/HM9.0000000000000051

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Conflicts of interest statement

The authors declare no conflict of interest.

Funding

The platform construction was supported by the National Key R&D Program of China (No. 2019YFC1709001, 2022YFC3500703), Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine. (No. ZYYCXTD-D-202003), Fund of Science and Technology Department of Sichuan Province, China (No.2021ZYD0081, 2022ZDZX0033) and the Xinglin Youth Innovation Team Project of Chengdu University of Traditional Chinese Medicine (QNTD2022003).

Author contributions

Qiaofeng Wu and Shuguang Yu instructed the website construction. Qiaofeng Wu drafted the paper. Shuqing Liu, Ruibin Zhang, Qiang Tang, Longcong Dong, and Sihui Li provided data and participate in performing the study. All authors read and approved the final manuscript.

Ethical approval of studies and informed consent

All procedures were approved by The Committee on Ethical Use of Animals of Chengdu University of Traditional Chinese Medicine and the Ethics Committee for Animal Care and Use of Sichuan University. All procedures were conducted in accordance with the guidelines of the National Institutes of Health Animal Care and Use Committee (No. 2020267A).

Data availability

On reasonable request, the corresponding author will provide the datasets used and/or analyzed in this study.

Acknowledgments

Many people and researchers contributed toward the establishment of ACU &MOX-DATA. Professor Wei Chen’s team from the Innovation Research Institute of Chengdu University of Traditional Chinese Medicine participated in the construction of the website platform. Professor Bingmei Zhu’s team from West China Hospital of Sichuan University, Yongming Guo’s team from Tianjin University of Traditional Chinese Medicine, Wei He’s team from the Chinese Academy of Traditional Chinese Medicine, and Zhigang Li’s team from Beijing University of Traditional Chinese Medicine have provided support and assistance for the website construction; Xun Lan, Professor of Tsinghua University, and Yong Wang, Professor of the Institute of Mathematics and Systems Science of the Chinese Academy of Sciences, provided technical assistance.

References

[1]

Kang M, Ko E, Mersha TB. A roadmap for multi-omics data integration using deep learning. Brief Bioinform 2022;23(1):bbab454.

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Argelaguet R, Velten B, Arnol D, et al. Multi-Omics Factor Analysis-a framework for unsupervised integration of multi-omics data sets. Mol Syst Biol 2018;14(6):e8124.

[3]

Chu XJ, Zhang BW, Koeken VACM, et al. Multi-omics approaches in immunological research. Front Immunol 2021;12:668045.

[4]

Jia J, Yu Y, Deng JH, et al. A review of Omics research in acupuncture: the relevance and future prospects for understanding the nature of meridians and acupoints. J Ethnopharmacol 2012;140(3):594-603.

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