Group leader：MI Shuangli
Biography
2019.11-Present Professor, Beijing Institute of Genomics, CAS (China National Center for Bioinformation)
2009.8-2019.11 Professor, Beijing Institute of Genomics, Chinese Academy of Sciences, China
2008.7-2009.8 Postdoctoral Scholar, Research Associate, Pharmacogenetics Anticancer Agents Research Group, University of Chicago, USA
2005.7-2008.7 Postdoctoral Fellow, Department of Medicine, Section of Hematology/Oncology, University of Chicago, USA
1999.9-2005.7 Ph.D, College of Life Sciences, Peking University, Beijing, China
Introduction
Prof. Mi's research has focused on the genomics and epigenomics of complex diseases, with an emphasis on elucidating the functions of non-coding RNAs, discovering disease biomarkers, and constructing disease risk prediction models. She has established independent and efficient methods for isolating and enriching tumor-derived exosomes (from sources such as peripheral blood and urine) and developed a systematic analysis strategy and validation framework based on exosomal high-throughput RNA-seq data. Through the screening of clinical samples, her team has identified exosomal miRNAs in the peripheral blood of lung cancer patients with potential value for early diagnosis via liquid biopsy. Furthermore, Prof. Mi has developed models for screening molecular diagnostic markers and prognostic risk indicators based on tumor stromal proteins. Related diagnostic and prognostic molecular markers have been granted multiple national invention patents under her work.
In the field of bioinformatics and big data methodology, Prof. Mi has constructed an extensive microbial metagenomic database and developed a novel, patented method for metagenomic functional analysis. She has led the development of specialized cohort databases for diseases including metabolic disorders, cardiovascular and cerebrovascular diseases, respiratory diseases, and rare diseases, as well as the construction of a pharmacogenomics knowledge base.
Additionally, Prof. Mi has conducted in-depth research into biological mechanisms and biotechnology development. Her work led to the discovery of a sorting protein involved in loading miRNAs into exosomes, revealing part of the sorting mechanism for exosomal nucleic acids. She also provided vital tools for studying the pathogenesis of polygenic diseases.
Prof. Mi's research findings have been published in international academic journals such as Nature Neuroscience, Small, PNAS, and Blood, with total citations exceeding ten thousand. Her work has been supported by funding from National Major Science and Technology projects, the National Key Research and Development Program, Major International Cooperation Projects of the National Natural Science Foundation of China, the Chinese Academy of Sciences Pioneer Initiative, and Key Projects of the Beijing Natural Science Foundation.
Research Fields
1. Genomics and epigenomics of complex diseases (e.g., cancer, neuropsychiatric disorders), discovery of disease biomarkers, and construction of disease risk prediction models.
2. Development of big data analysis methods for multi-omics research and construction of related databases.
3. Investigation of disease mechanisms and development of biotechnologies.
Selected Publications
1. Liu YN, Wang QW, She XY, Li LJ, Wang B, Yang R, Li Q, Lu SY, Wang YH, Shen W, Fu CL, Li D, Yi L, Wang CX, Shi W, Cheng X, Cao L, Mi S, Yao J*. A pancreas-hippocampus feedback mechanism regulates circadian changes in depression-related behaviors. Nature Neuroscience. 2025 Oct;28(10):2078-2091.
2. Zhu Y, Chen Q, Qiao B, Jia L, Wen H, Pan W, Wang Y, Mi S, Wang M*, Du J*. Benefits of Better Cardiovascular Health for Calcific Aortic Valve Stenosis Stratified by Polygenic Risk Score. Genomics Proteomics Bioinformatics. 2025 Nov 6:qzaf099.
3. Liu YN, Wang QW, Lu SY, Shen W, Guo C, Xing Z, Li C, Sun S, Sui SF, Mi S, Gage FH, Yao J*. Synaptotagmin-7 deficit causes insulin hypoactivity and contributes to behavioral alterations in mice. iScience. 2025 Apr 4;28(5):112354.
4. Yu L, Hu X, Xu R, Zhao Y, Xiong L, Ai J, Wang X, Chen X, Ba Y, Xing Z, Guo C, Mi S*, Wu X*. Piperine promotes PI3K/AKT/mTOR-mediated gut-brain autophagy to degrade α-Synuclein in Parkinson's disease rats. Journal of Ethnopharmacology. 2024 Mar 25:322:117628.
5. Zhang J, Fu B, Li M, Mi S*. Secretome of Activated Fibroblasts Induced by Exosomes for the Discovery of Biomarkers in Non-Small Cell Lung Cancer. Small. 2021 Jan; 17(4):e2004750. doi: 10.1002/smll.202004750.
6. Liang L, Gu W, Li M, Zhang X, Gao R, Guo C, Mi S*. LncRNA HOTAIRM1 enhances glucocorticoid resistance in leukemia by activating RHOA/ROCK1 pathway through suppressing ARHGAP18. Cell Death & Disease. 2021 Jul 14;12(7):702. doi: 10.1038/s41419-021-03982-4.
7. Li Y, Zhang J, Li S, Guo C, Li Q, Zhang X, Li M, Mi S*. HnRNPA1 loads batched tumor-promoting miRNAs into small extracellular vesicles with the assist of Caveolin-1 in A549 cells. Front Cell Dev Bio. 2021 Jun 17; 9:687912. doi: 10.3389/fcell.2021.687912
8. Lu SY, Fu CL, Liang L, Yang B, Shen W, Wang QW, Chen Y, Chen YF, Liu YN, Zhu L, Zhao J, Shi W, Mi S, Yao J*. miR-218-2 regulates cognitive functions in the hippocampus through complement component 3-dependent modulation of synaptic vesicle release. P Natl Acad Sci USA. 2021 Mar, 2021 Apr 6;118(14):e2021770118. doi: 10.1073/pnas.2021770118.
9. Xing Z, Li H, Li M, Gao R, Guo C, Mi S*. Disequilibrium in chicken gut microflora with avian colibacillosis is related to microenvironment damaged by antibiotics. Sci Total Environ. 2021 Mar; 762: 143058. doi: 10.1016/j.scitotenv.2020.143058.
10. Wang S, Guo C, Xing Z, Li M, Yang H, Zhang Y, Ren F, Chen L, Mi S*. Dietary Intervention With α-Amylase Inhibitor in White Kidney Beans Added Yogurt Modulated Gut Microbiota to Adjust Blood Glucose in Mice. Front Nutr. 2021 Oct 12; 8:664976. doi: 10.3389/fnut.2021.664976
11. Lan Y, Li M, Mi S*. Identification of Potential Key lncRNAs in the Context of Mouse Myeloid Differentiation by Systematic Transcriptomics Analysis. Genes (Basel). 2021 Apr 23; 12(5):630.
12. Xing Z, Zhang Y, Li M, Guo C, Mi S*. RBUD: A New Functional Potential Analysis Approach for Whole Microbial Genome Shotgun Sequencing. Microorganisms. 2020, Oct 10;8(10): 1563.
13. Han Z, Li Y, Zhang J, Guo C, Li Q, Zhang X, Lan Y, Gu W, Xing Z, Liang L, Li M, Mi S*. Tumor-derived circulating exosomal miR-342-5p and miR-574-5p as promising diagnostic biomarkers for early-stage Lung Adenocarcinoma. Int J Med Sci. 2020 Jun 6;17(10):1428-1438.
14. Miao X, Li Y, Zheng C, Wang L, Jin C, Chen L, Mi S, Zhai W, Wang QF*, Cai J*. A promising iPS-based single-cell cloning strategy revealing signatures of somatic mutations in heterogeneous normal cells. Comput Struct Biotechnol J. 2020 Sep 3;18: 2326-2335.
15. Shen W, Wang QW, Liu YN, Marchetto MC, Linker S, Lu SY, Chen Y, Liu C, Guo C, Xing Z, Shi W, Kelsoe JR, Alda M, Wang H, Zhong Y, Sui SF, Zhao M, Yang Y, Mi S, Cao L, Gage FH*, Yao J*. Synaptotagmin-7 is a key factor for bipolar-like behavioral abnormalities in mice. P Natl Acad Sci USA. 2020 Feb 25;117(8):4392-4399.
16. Zheng Y#, Shen W#, Zhang J, Yang B, Liu YN, Qi HH, Yu X, Lu SY, Chen Y, Xu YZ, Li Y, Fred HG, Mi S*, Yao J*. CRISPR interference-based specific and efficient gene inactivation in the brain. Nature Neuroscience. 2018, 21(2): 447-454
17. Mertens J, Wang QW, Kim Y, Yu DX, Pham S, Yang B, Zheng Y, Diffenderfer KE, Zhang J, Soltani S, Eames T, Schafer ST, Boyer L, Marchetto MC, Nurnberger JI, Calabrese JR, Oedegaard KJ, McCarthy MJ, Zandi PP, Alda M, Nievergelt CM, Pharmacogenomics of Bipolar Disorder Study, Mi S, Brennand KJ, Kelsoe JR, Gage FH*, Yao J*. Differential responses to lithium in hyperexcitable neurons from patients with bipolar disorder. Nature. 2015 Nov 5; 527(7576): 95-9.
18. Zhang J, Li S, Li L, Li M, Guo C, Yao J, Mi S*. Exosome and exosomal microRNA: trafficking, sorting, and function. Genomics Proteomics Bioinformatics. 2015 Feb;13(1):17-24.
Patent
1. 201810644958.2. A method for analyzing microbial community functions using metagenomic data.
2. 201810644959.7. Lung adenocarcinoma-specific exosomal miRNAs, their target genes, and applications.
3. 201811574788.1. Molecular markers associated with the prognosis of non-small cell lung cancer and their applications.
4. 201910191745.5. A molecular marker associated with the diagnosis of non-small cell lung cancer and its application.
5. 201910133418.2. Early-stage lung adenocarcinoma-specific exosomal miRNAs and their applications.
