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李津臣
邮  箱: lijinchen@csu.edu.cn
职  称:
教授
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地  址: 湖南省长沙市湘雅路110号
个人简历

教育经历

2007.09-2011.06,重庆邮电大学,生物信息学,学士

2011.09-2014.06,温州医科大学,遗传学,硕士

2014.09-2017.06,中南大学,遗传学,博士


工作经历

2017.09-至今, 中南大学医学遗传学研究中心特聘教授,中南大学湘雅医院特聘教授

2020.03-至今, 中南大学湘雅医院数据挖掘与应用中心主任

2021.03-至今, 中南大学湘雅医院生物信息中心常务副主任


社会兼职

中国遗传学会行为遗传分会秘书长

湖南省神经科学学会神经退行性疾病专委会副主委

湖南省神经科学学会理事

湖南省遗传学会理事

Frontiers in Genetics》杂志编委


学术奖励

湖南省优秀博士毕业论文,2018

中国科学技术学会青年人才托举工程,2018

湖南省优青2019

湖南省湖湘青年英才2020


研究方向

神经精神疾病的生物信息学与遗传学研究


研究简介

李津臣博士,现任中南大学医学遗传学研究中心、中南大学湘雅医院(国家老年疾病临床医学研究中心)特聘研究员,中南大学博士生导师,入选第四届中国科学技术协会青年人才托举工程。课题组致力于神经精神疾病特别是孤独症和帕金森病的生物信息学与遗传学研究。建立中南大学医学生物信息学课题组(http://www.genemed.tech/lilab)。


本课题主要研究方向包括:1、利用数据挖掘、人工智能、机器学习等方法开发多个关于疾病表型数据与遗传信息的分析工具和数据库,为解读复杂疾病的致病突变与候选基因提供了方法学支撑;2、利用自主开发的工具,在孤独症、帕金森病等神经精神疾病中筛选到多个候选基因与风险位点,揭示多类分子亚型,为疾病的精准诊疗、风险防控、基因治疗提供了分子依据;3、基于分子生物学、细胞生物学、动物模型、基因编辑、类脑技术等最新方法探究神经精神疾病的致病机制。李津臣博士近五年来发表30余篇SCI论文,累计影响因子超过250分,其中在以第一作者或通讯作者在Molecular Psychiatry, Nucleic Acids ResearchIF>10SCI杂志发表研究论文8篇。


本课题组是一个年轻而充满活力的团队,研究经费充足,同国内国际上多个课题组建立长期合作伙伴,课题组平均每年发表两篇10分以上的研究论文。本实验室的研究生能够熟练掌握生物信息学、基因组学、医学遗传学、生物医学大数据相关理论基础与分析工具。毕业以后可以进入各大高校、科研院所、三甲医院、科技公司从事遗传学、医学、信息学相关科研、教学与数据分析工作。课题组每年招收3-5名硕士、博士研究生,提供充足的劳务补助、奖学金;常年招聘博士后,年薪不低于20万,特别优秀的青年学者可达30万,发表论文、申请课题按照规定享受相应的奖励。


实验室主页:http://www.genemed.tech/lilab


代表性论文

1. Zhang Y#, Wang T#, Wang Y, Xia K*, Li J*, Sun ZS*. Targeted sequencing and integrative analysis to prioritise candidate genes in neurodevelopmental disorders. Mol Neurobiol.2021.

2. Wang T#, Zhang Y#, Liu L, Wang Y, Fan T, Li J*, Xia K*, Sun ZS*. Targeted sequencing and integrative analysis of 3, 195 Chinese Patients with neurodevelopmental disorders prioritized 26 novel candidate genes. J Genet Genomics. 2021.

3. Li B#, Wang Z, Chen Q, Li K, Wang X, Han Y, LU B, Zhao Y, Zhang R, Jiang L, Pan H, Luo T, Zhang Y, Fang Z, Xiao X, Zhou X, Wang R, Zhou L, Wang Y, Yuan Z, Xia L, Guo J, Tang B, Xia K, Zhao G*, Li J*. GPCards: an integrated database of genotype–phenotype correlations in human genetic diseases. Comput Struct Biotechnol J. 2021.

4. Zhao G#, Liu Z, Wang M, Yuan Y, Ni J, Li W, Huang L, Hu Y, Liu P, Hou X, Guo J,Jiang H ,Shen L, Tang B, Li J*, Wang J*. Gene4MND: an integrative genetic database and analytic platform for motor neuron disease. Front Mol Neurosci.2021.

5. Luo T#, Li K#, Zhao G, Li B, Chen C, Fang Z, Xia L, Wang L, Wang X, Wang Z, Zhang Y, Jiang l, Hu Z, Guo H, Tang B, Liu C, Sun Z, Xia K, Zhou X, Wang Y, Pan H, Zhou Q, Pan Q*, Xia K*, Li J*. De novo mutations in folate related genes associated with common developmental disorders. Comput Struct Biotechnol J.2021.

6. Li B, Zhao G, Li K, Wang Z, Fang Z, Wang X, Luo T, Zhang Y, Wang Y, Chen Q, Huang Y, Dong L, Guo J, Tang B,Li J*. Characterizing the Expression Patterns of Parkinson's Disease Associated Genes. Front Neurosci. 2021.

7. Li B, Zhao G, Zhou Q, Xie Y, Wang Z, Fang Z, Lu B, Qin L, Zhao Y, Zhang R, Jiang L, Pan H, He Y, Wang X, Luo T, Zhang Y, Wang Y, Chen Q, Liu Z, Guo J, Tang B,Li J*. Gene4PD: A Comprehensive Genetic Database of Parkinson's Disease. Front Neurosci. 2021.

8. Li K#, Ling Z#, Luo TZhao GZhou QWang XXia K, Li J*, Li B*. Cross- disorder analysis of de novo variants increases the power of prioritising candidate genes. Life. 2021.

9. Zhao G#Li K#Li BWang ZFang ZWang XZhang YLuo TZhou QWang LXie YWang YChen QXia LTang YTang BXia KLi J * . Gene4Denovo: an integrated database and analytic platform for de novo mutations in humans. Nucleic Acids Research, 2020.

10. Li B#, Li K, Tian D, Zhou Q, Xie Y, Fang Z, Wang XLuo TWang ZZhang YWang YChen QMeng Q, Zhao G*, Li J*. De novo mutation of cancer-related genes associates with particular neurodevelopmental disorders. Journal of Molecular Medicine, 2020.

11. Wang L#, Zhang Y#, Li K#, Wang Z, Wang XLi BZhao GFang ZLing Z, Luo TXia LLi YGuo HHu ZLi J*, Sun Z*, Xia K*. Functional relationships between recessive inherited genes and genes with de novo variants in autism spectrum disorder. Molecular Autism, 2020.

12. Zhao Y#, Qin L#, Pan HLiu ZJiang LHe YZeng QZhou XZhou X Zhou YFang ZWang ZXiang YYang HWang YZhan KZhang RHe R Zhou X Zhou Z Yang N Liang D Chen JZhang X Zhou Y Liu H Deng PXu KXu KZhou CZhong JXu QSun QLi BZhao GWang TChen LShang HLiu WChan PXue ZWang QGuo LWang XXu ChZhang ZChen TLei LZhang HWang CTan JYan XShen LJiang HZhang ZHu ZXia KYue ZLi J*, Guo J*, Tang B*. The role of genetics in Parkinson’s disease: a large cohort study in Chinese mainland population. Brain, 2020.

13. Zhang Y, Li N, Li C, Zhang Z, Teng H, Wang Y, Zhao T, Shi L, Zhang K, Xia K, Li J*, Sun Z*. Genetic evidence of gender difference in autism spectrum disorder supports the female-protective effect. Translational psychiatry, 2020.

14. Li J#Hu S #Zhang KShi LZhang YZhao TWang LHe XXia KLiu CSun Z *. A comparative study of the genetic components of three subcategories of autism spectrum disorder. Molecular Psychiatry, 2019.

15. Li J#*Zhao T#Zhang YZhang KShi LChen YWang XSun Z *. Performance evaluation of pathogenicity computation methods for missense variants. Nucleic Acids Research, 2018.

16. Li J #Wang L#Guo HShi LZhang KTang MHu SDong SLiu YWang TYu PHe XHu ZZhao J, Liu C* , Sun Z*Xia K*. Targeted sequencing and functional analysis reveal brain-size-related genes and their networks in autism spectrum disorders. Molecular Psychiatry, 2017.

17. Li J #Cai T #Jiang YChen HHe XChen YLi XShao QRan XLi ZXia KLiu C *Sun Z*Wu J *. Genes with de novo mutations are shared by four neuropsychiatric disorders discovered from NPdenovo database. Molecular Psychiatry, 2016 .

18. Wang Y#, Zeng C#, Li J#, Zhou Z, Ju X, Xia S, Li Y, Liu A, Teng H, Zhang K, Shi L, Bi C, Xie W, He X, Jia Z, Jiang Y, Cai T, Wu J, Xia K*, Sun ZS* PAK2 haploinsufficiency results in LIMK1/Cofilin-mediated synaptic cytoskeleton impairment and autism-related behaviors. Cell Reports,2018.

19. Li J#, Shi L#, Zhang K, Zhang Y, Hu S, Zhao T, Teng H, Li X, Jiang Y, Ji L, Sun ZS*. Varcards: clinical and genetic knowledge of coding variations in human genome. Nucleic Acids Research, 2018.

20. Li J#, Wang L#, Yu P, Shi L, Zhang K, Sun ZS*, Xia K*. Vitamin D-related genes are subjected to significant de novo mutation burdens in autism spectrum disorder. Am J Med Genet Part B, 2017.

21. Li J#, Jiang Y#, Wang T, Chen H, Xie Q, Shao Q, Ran X, Xia K, Sun ZS*, Wu J*. mirTrios: an integrated pipeline for detection of de novo and rare inherited mutations from trios-based next-generation sequencing. Journal of Medical Genetics, 2015.

22. Ran X#, Li J#, Shao Q, Chen H, Lin Z, Sun ZS*, Wu J*. EpilepsyGene: a genetic resource for genes and mutations related to epilepsy. Nucleic Acids Research,2015.