特聘研究员
研究助理教授
博士后
博士后
博士
计算生物和疾病基因组学课题组主要通过运用和开发新的计算学方法,整合多种高通量组学大数据来解析人类复杂疾病和性状的遗传和表观遗传的调控机理,以期识别潜在的可运用于临床实践的分子标记及治疗靶点。
主要成果包括:
(1) 首次开发创新计算生物学方法从公共组学大数据中发现了选择性多聚腺苷酸化与复杂疾病的关系;
(2)发现一类全新肿瘤特异性泛素连接酶可以在不同肿瘤类型驱使基因的广泛3’UTR缩短,从而影响在肿瘤发生过程中的致癌机理;
(3)开发全新计算生物学方法和工具解析重大疾病的细胞特异性调控机制;
(4)通过与实验生物学家通力合作,解析了肿瘤等复杂疾病发生发展过程中的众多关键机制。
目前已开发算法软件和数据库超过10余个。在Nature Genetics,Nature Communications,Molecular Cell,Science Advances,Cell Discovery,Nucleic Acids Research等国际高水平期刊共发表研究论文约40余篇,被他引>2000余次,H指数25。成果多次被Nature Reviews Cancer, Trends in Genetics, Molecular Cell, F1000等撰文推荐或封面报道。现任Nature Communications, Cell Genomics, Cell Reports, Genome Research等国际期刊的独立审稿人,受邀在多个国内外会议包括美国人类遗传学年会作学术报告并指导多位博士后和研究生。现任中国生物信息学会(筹)多组学与整合生物学专委会委员,中国抗癌协会肿瘤标志物专委会委员,广东省生物信息学会理事等学术职务。主持项目包括国家自然科学基金海外优秀青年基金项目,面上项目,青年项目等。
1. Zhao ZZ^, Chen Y^, Zou XD^, Lin L^, Cheng XM, Zou XL, Xu QS, Gong LH,Li L*, Ni T*. (2024) Pan-cancer transcriptome analysis reveals widespread regulation through alternative tandem transcription initiation.Science Advances.(in press)
2. Lin P^, Chen WY^, Long ZL, Yu JC, Yang JY, Xia Z, Wu QL, Min XY, Tang J, Cui Y,Liu FY, Wang C, Zheng J, Li W, Rich J N*,Li L*, Xie Q*. (2024) In vitro and in vivo CRISPR screens identify the ubiquitin E3 ligase RBBP6 as a targetable dependency of glioblastoma stem cells.Cell Discovery.10, 32.
3. Chen H^, Wang ZY^, Gong LH, Wang QX, Chen WY, Wang J, Ma XL, Ding RF, Li X, Zou XD, Plass M, Lian C, Ni T, Wei GH, Li W*, Deng L*,Li L*. (2024) A distinct class of pan-cancer susceptibility genes revealed by alternative polyadenylation transcriptome-wide association study.Nature Communications.15, 1729.
4.Li L*, Ma XL, Cui Y, Rotival M, Chen WY, Zou XD, Ding RF, Qin YM, Wang QX, Quintana-Murci L, Li W*. (2023) Immune-response 3′UTR alternative polyadenylation quantitative trait loci contribute to variation in human complex traits and diseases.Nature Communications.14, 8347.
5. Ding RF^, Wang QX^, Gong LH^, Zhang T, Zou XD, Xiong KW, Liao Q, Plass M,Li L*. (2023) scQTLbase: an integrated human single-cell eQTL database.Nucleic Acids Research.gkad781.
6. Ding RF^, Zou XD^, Qin YM, Gong LH, Chen H, Ma XL, Guang SH, Chen Yu, Gao Wang*,Li L*. (2023) xQTLbiolinks: a comprehensive and scalable tool for integrative analysis of molecular QTLs.Briefings in Bioinformatics.bbad440.
7. Ma XL^, Cheng SM^, Ding RF, Zhao ZZ, Zou XD, Guang SH, Wang QX, Jing H, Chen Yu, Ting Ni,Li L*. (2022) ipaQTL-atlas: an atlas of intronic polyadenylation quantitative trait loci across human tissues.Nucleic Acids Research.51(D1), D1046-D1052.
8. Zou XD^, Ding RF^, Chen WY, Wang G, Cheng SM, Wang Q, Li W*,Li L*. (2022) Using population-scale transcriptomic and genomic data to map 3′UTR alternative polyadenylation quantitative trait loci.STAR Protocols.3(3), 101566.
9. Cui Y, Peng FL, Wang D, Li YM, Li JS,Li L*, Li W*. (2022) 3′aQTL-atlas: an atlas of 3′UTR alternative polyadenylation quantitative trait loci across human normal tissues.Nucleic Acids Research.50(D1), D39-D45.
10.Li L, Huang K, Gao YP, Cui Y, Wang G, Nathan D, Li YM, Chen YE, Ji P, Peng F, William K, Wagner EJ, Li W. (2021) An atlas of alternative polyadenylation quantitative trait loci contributing to complex trait and disease heritability.Nature Genetics.53: 994–1005.
11. Yang SW^,Li L^, Connelly JP, Porter SN, Kodali K, Gan HY, Park JM, Tacer KF, Tillman H, Peng JM, Shondra MP, Li W, Potts PR. (2020) A Cancer-Specific Ubiquitin Ligase Drives mRNA Alternative Polyadenylation by Ubiquitinating the mRNA 3′End Processing Complex.Molecular Cell.77(6): 1206-1221.
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