Name: Liao Mingzhi
Title: Professor
Center of Bioinformatics, College of Life Sciences
Northwest A&F University, Yangling, Shaaxi, 712100, China.
Tel: +86-029-87092262
Birth: Aug, 1983
E-mail: liaomz@nwsuaf.edu.cn
Education
2006-2011, Ph.D. Harbin Medical University, China
2002-2006, B.S. Northwest University, China
Work Experience
Northwest A&F University: College of Life Sciences, Center of Bioinformatics
Professor, 2021-Current.
Associate Professor, 2015-2020.
Assistant Professor, 2011-2014.
University of California, San Diego: Department of Chemistry & Biochemistry
Visiting Scholar, 2017-2018
Teaching
Bioinformatics, Genomics and Proteomics, Perl Program, Bioinformatics Computer Programs, Advanced Bioinformatics, Bioinformatics Practice, Biostatistics.
Research Achievements
In recent years, Prof. Liao have published more than 60 SCI papers, including published in PNAS, Advanced Science, Molecular Plant, Journal of Biological Chemistry, Autophagy, Cell Death&Disease, Briefings in Bioinformatics, Bioinformatics, FASEB Journal, Zoological Research and other internationally renowned journals. At present, the H-index index of Prof. Liao is 24.
Research Interests
The era of biological data explosion brings researchers new opportunities for development as well as great challenges in data processing and analysis. To this end, our research team carried out information mining work characterized by "big biological data of multi omics", mainly using mathematics, computer and other theories and tools to carry out biological research on computing systems, build professional database platforms, and develop biological algorithm software, to mine the potential information behind biological big data (including text data, genome, transcriptome, proteome, epigenome, exposure group and their complex interaction processes), realize the transformation from "big data" to "big information", and finally reveal new biological phenomena, new markers and new laws.
At present, we focus on the frontier interdisciplinary research fields of animal reproductive development and bioinformatics, including basic biology research: molecular mechanism of animal reproductive development, stem cell pluripotency maintenance and differentiation mechanism; applied basic biological research: reproductive genetics, animal genome selection breeding, etc.
Fundings
NNSF of China (62072377), “Study on the computational model of animal prenatal genome selection based on multi-omics”.
NNSF of China (61772431), “The precise construction and evolution analysis of dynamic gene network of mammalian gametogenesis”.
NNSF of China (31301938), “The microRNA molecular pathway detection and analysis with bioinformatics about dairy goat spermatogenesis process”.
NNSF China (30900837), “Recognition of malignant arrhythmia related microRNA and its regulatory pathway”
Shaanxi Provincial Natural Science Foundation(2018JM6039), “Integrative Research of text mining and high-throughput sequencing data”.
Shaanxi Provincial Natural Science Foundation(2014JQ3110), “The miRNA interaction pathway detection in guanzhong dairy goat male germ cell”
Special Talents Fund of Shaanxi province, “Research on the co-expression of miRNA regulatory mechanism and function”
Social Services
1. Communication evaluation expert of NSFC
2. Member of the Committee of Multiomics and Integrated Biology of the Chinese Society for Bioinformatics (preparatory)
3. Member of Bioinformatics Committee of Chinese Computer Federation
4. Member of Bioinformatics and Artificial Life Committee of Chinese Association of Artificial Intelligence
5. Director of Shaanxi Zoological Society
Representative Publications as Corresponding Author in the Past 5 Years:
1. Zhang J, Zhou Y, Yue W, Zhu Z, Wu X, Yu S, Shen Q, Pan Q, Xu W, Zhang R et al : Super-enhancers conserved within placental mammals maintain stem cell pluripotency. Proc Natl Acad Sci U S A 2022, 119(40):e2204716119.
2. Ni Y, Fan L, Wang M, Zhang N, Zuo Y, Liao M: EPI-Mind: Identifying Enhancer-Promoter Interactions Based on Transformer Mechanism. Interdiscip Sci 2022, 14(3):786-794.
3. Liu H, Akhatayeva Z, Pan C, Liao M, Lan X: Comprehensive comparison of two types of algorithm for circRNA detection from short-read RNA-Seq. Bioinformatics 2022.
4. Zhu Z, Wu X, Li Q, Zhang J, Yu S, Shen Q, Zhou Z, Pan Q, Yue W, Qin D et al : Histone demethylase complexes KDM3A and KDM3B cooperate with OCT4/SOX2 to define a pluripotency gene regulatory network. FASEB journal : official publication of the Federation of American Societies for Experimental Biology 2021, 35(6):e21664.
5. Yu XW, Li TT, Du XM, Shen QY, Zhang MF, Wei YD, Yang DH, Xu WJ, Chen WB, Bai CL et al : Single-cell RNA sequencing reveals atlas of dairy goat testis cells. Zoological research 2021, 42(4):401-405.
6. Wu XL, Zhu ZS, Xiao X, Zhou Z, Yu S, Shen QY, Zhang JQ, Yue W, Zhang R, He X et al : LIN28A inhibits DUSP family phosphatases and activates MAPK signaling pathway to maintain pluripotency in porcine induced pluripotent stem cells. Zoological research 2021, 42(3):377-388.
7. Li H, Hou J, Chen Z, Zeng J, Ni Y, Li Y, Xiao X, Zhou Y, Zhang N, Long D et al : FifBase: a comprehensive fertility-associated indicators factor database for domestic animals. Briefings in Bioinformatics 2021:1-7.
8. Sun C, Zhang N, Yu P, Wu X, Li Q, Li T, Li H, Xiao X, Shalmani A, Li L et al : Enhancer recognition and prediction during spermatogenesis based on deep convolutional neural networks. Mol Omics 2020, 16(5):455-464.
9. Shen Q, Xiao X, Aierken A, Yue W, Wu X, Liao M, Hua J: The ACE2 expression in Sertoli cells and germ cells may cause male reproductive disorder after SARS-CoV-2 infection. Journal of cellular and molecular medicine 2020, 24(16):9472-9477.
10. Li T, Li Q, Li H, Xiao X, Warraich DA, Zhang N, Chen Z, Hou J, Liu T, Weng X et al : Pig-specific RNA editing during early embryo development revealed by genome-wide comparisons. Febs Open Bio 2020, 10(7):1389-1402.
11. Li Q, Li T, Xiao X, Ahmad DW, Zhang N, Li H, Chen Z, Hou J, Liao M: Specific expression and alternative splicing of mouse genes during spermatogenesis. Molecular Omics 2020, 16(3):258-267.
12. Wang X, Wu X, Zhu Z, Li H, Li T, Li Q, Zhang P, Li L, Che D, Xiao X et al : Landscape of RNA editing reveals new insights into the dynamic gene regulation of spermatogenesis. Cell Cycle 2019, 18(23):3351-3364.
13. Li L, Che D, Wang X, Zhang P, Rahman SU, Zhao J, Yu J, Tao S, Lu H, Liao M: CellSim: a novel software to calculate cell similarity and identify their co-regulation networks. Bmc Bioinformatics 2019, 20:9.
14. Wang X, Zhang P, Li L, Che D, Li T, Li H, Li Q, Jia H, Tao S, Hua J et al : miRNA editing landscape reveals miR-34c regulated spermatogenesis through structure and target change in pig and mouse. Biochemical And Biophysical Research Communications 2018, 502(4):486-492.
15. Wang W, Zhang P, Li L, Chen Z, Bai W, Liu G, Zhang L, Jia H, Li L, Yu Y et al : ATD: a comprehensive bioinformatics resource for deciphering the association of autophagy and diseases. Database-the Journal Of Biological Databases And Curation 2018:10.
16. Che D, Wang Y, Bai W, Li L, Liu G, Zhang L, Zuo Y, Tao S, Hua J, Liao M: Dynamic and modular gene regulatory networks drive the development of gametogenesis. Briefings In Bioinformatics 2017, 18(4):712-721.
17. Bai W, Yang W, Wang W, Wang Y, Liu C, Jiang Q, Hua J, Liao M: GED: a manually curated comprehensive resource for epigenetic modification of gametogenesis. Briefings In Bioinformatics 2017, 18(1):98-104.
