Biography
Dr. Lijia Ma received her Ph.D. in bioinformatics in 2009. She moved to the University of Chicago in 2010 as a postdoc scholar and was then appointed as Staff Scientist since 2014. She’s been deeply involved in the NIH ENCODE, modENCODE, and Functional Characterization Center projects and supervised the sub-projects at the University of Chicago during 2016-2018.
History
2021
Outstanding Teacher of the Hangzhou Education Bureau System
Research
In Westlake, Dr. Ma is continuing her efforts to develop experimental and computational methods, focusing on miniaturized and screening-based technologies, and, in the long-term, applying integrative genomics and transcriptomics to both biological model systems and clinics.
Currently, Lijia Ma’s Laboratory focuses on the following two research areas. One is to develop large-scale profiling assays and bioinformatics tools, to decipher and interpret the human genome, especially to chart the cis- and trans- components that are involved in shaping the regulatory network then the cell fate. The second is developing and applying the genome editing tools to establish projections between genotype and phenotype and explore the unlimited potentials of CRISPR therapeutics in clinics.
Representative Publications
1. Yu Z*, Lu Z*, Li J*, Wang Y*, Wu P, Li Y, Zhou Y, Li B, Zhang H, Liu Y, Ma L. PEAC-seq adopts Prime Editor to detect CRISPR off-target and DNA translocation. Nature Communications. 2022.
2. Lu Z*, Ni K*, Wang Y*, Zhou Y, Li Y, Yan J, Song Q, Liu M, Xu Y, Yu Z, Guo T, Ma L. An in-library ligation strategy and its application in CRISPR/Cas9 screening of high-order gRNA combinations. Nucleic Acids Res. 2022.
3. Gao M*, Li Y*, Shu X, Dai P, Cao J, An Y, Li T, Huang Y, Wang F, Lu Z, Meng F, Feng X, Ma L#, Liu J#. New Chromatin Run-On Reaction Enables Global Mapping of Active RNA Polymerase Locations in an Enrichment-free Manner. ACS Chem. Biol. 2022;17:768−775
4. Zhang X*, Li Y*, Chen X, Jin B, Shu C. Ni W., Jiang Y, Zhang J, Ma L#, Shu J#. Single-cell transcriptome analysis uncovers the molecular and cellular characteristics of thin endometrium. FASEB J. 2022; 36(3):e22193.
5. Song Q*, Ni K*, Liu M*, Li Y, Wang L, Wang Y, Yu Z, Qi Y, Lu Z, Ma L. Direct-Seq: programmed RNA scaffold for streamlined scRNA-seq in CRISPR screen. Genome Biology. 2020; 21:136.
6. Chen Q*, Li Y*, Wang X, Zhang X, Hu Y, Li L, Suo D, Ni K, Li Z, Zhan J, Zeng T, Zhu Y, Li Y, Ma L#, Guan X#. Tumor fibroblast-derived FGF2 regulates expression of SPRY1 in esophageal tumor-infiltrating T cells and plays a role in T cell exhaustion. Cancer Res. 2020;80(24):5583.
7. Ni K, Ma L. Molecular biology techniques for endometrial gene expression: recent technological advances. Endometrial Gene Expression. 2020, Springer.
https://scholar.google.com/citations?user=L3jQVIQAAAAJ&hl=en
Contact Us