Jun Li, Ph.D.
Department of Bioinformatics and Computational Biology, Division of VP, Research
Present Title & Affiliation
Primary Appointment
Assistant Professor, Department of Bioinformatics and Computational Biology, Division of Quantitative Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX
Education & Training
Degree-Granting Education
| 2013 | Chinese Academy of Sciences, Shanghai, CHN, PHD, Computational Biology |
| 2008 | Wuhan University, Wuhan, CHN, BS, Mathematics |
Postgraduate Training
| 2013-2018 | Postdoctoral, Bioinformatics & Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX |
Honors & Awards
| 2019 | Robert M. Chamberlain Distinguished Mentor Award Finalist, The University of Texas MD Anderson Cancer Center |
| 2017 | The Ben F. Love Fellowship in Innovative Cancer Therapies, The University of Texas MD Anderson Cancer Center |
| 2016 | The Ben F. Love Fellowship in Innovative Cancer Therapies, The University of Texas MD Anderson Cancer Center |
Selected Publications
Peer-Reviewed Articles
- Li J, Lu H, Ng PK, Pantazi A, Ip CKM, Jeong KJ, Amador B, Tran R, Tsang YH, Yang L, Song X, Dogruluk T, Ren X, Hadjipanayis A, Bristow CA, Lee S, Kucherlapati M, Parfenov M, Tang J, Seth S, Mahadeshwar HS, Mojumdar K, Zeng D, Zhang J, Protopopov A, Seidman JG, Creighton CJ, Lu Y, Sahni N, Shaw KR, Meric-Bernstam F, Futreal A, Chin L, Scott KL, Kucherlapati R, Mills GB, Liang H. A functional genomic approach to actionable gene fusions for precision oncology. Science Advances 8(6):eabm2382, 2022. e-Pub 2022. PMID: 35138907.
- Li J, Chen H, Wang Y, Chen MM, Liang H. Next-Generation Analytics for Omics Data. Cancer Cell 39(1):3-6, 2021. e-Pub 2020. PMID: 32976776.
- Zhao W*, Li J*, Chen MM, Luo Y, Ju Z, Nesser NK, Johnson-Camacho K, Boniface CT, Lawrence Y, Pande NT, Davies MA, Herlyn M, Muranen T, Zervantonakis IK, von Euw E, Schultz A, Kumar SV, Korkut A, Spellman PT, Akbani R, Slamon DJ, Gray JW, Brugge JS, Lu Y, Mills GB, Liang H. Large-Scale Characterization of Drug Responses of Clinically Relevant Proteins in Cancer Cell Lines. Cancer Cell 38(6):829-843.e4, 2020. e-Pub 2020. PMID: 33157050.
- Ng PK*, Li J*, Jeong KJ*, Shao S, Chen H, Tsang YH, Sengupta S, Wang Z, Bhavana VH, Tran R, Soewito S, Minussi DC, Moreno D, Kong K, Dogruluk T, Lu H, Gao J, Tokheim C, Zhou DC, Johnson AM, Zeng J, Ip CKM, Ju Z, Wester M, Yu S, Li Y, Vellano CP, Schultz N, Karchin R, Ding L, Lu Y, Cheung LWT, Chen K, Shaw KR, Meric-Bernstam F, Scott KL, Yi S, Sahni N, Liang H, Mills GB. Systematic Functional Annotation of Somatic Mutations in Cancer. Cancer Cell 33(3):450-462.e10, 2018. PMID: 29533785.
- Li J, Akbani R, Zhao W, Lu Y, Weinstein JN, Mills GB, Liang H. Explore, Visualize, and Analyze Functional Cancer Proteomic Data Using the Cancer Proteome Atlas. Cancer Research 77(21):e51-e54, 2017. PMID: 29092939.
- Li J, Zhao W, Akbani R, Liu W, Ju Z, Ling S, Vellano CP, Roebuck P, Yu Q, Eterovic AK, Byers LA, Davies MA, Deng W, Gopal YN, Chen G, von Euw EM, Slamon D, Conklin D, Heymach JV, Gazdar AF, Minna JD, Myers JN, Lu Y, Mills GB, Liang H. Characterization of Human Cancer Cell Lines by Reverse-phase Protein Arrays. Cancer Cell 31(2):225-239, 2017. PMID: 28196595.
- Li J, Han L, Roebuck P, Diao L, Liu L, Yuan Y, Weinstein JN, Liang H. TANRIC: An Interactive Open Platform to Explore the Function of lncRNAs in Cancer. Cancer Research 75(18):3728-37, 2015. e-Pub 2015. PMID: 26208906.
- Li J, Lu Y, Akbani R, Ju Z, Roebuck PL, Liu W, Yang JY, Broom BM, Verhaak RG, Kane DW, Wakefield C, Weinstein JN, Mills GB, Liang H. TCPA: a resource for cancer functional proteomics data. Nature Methods 10(11):1046-7, 2013. e-Pub 2013. PMID: 24037243.
- Li J, Roebuck P, Grünewald S, Liang H. SurvNet: a web server for identifying network-based biomarkers that most correlate with patient survival data. Nucleic Acids Research 40(Web Server issue):W123-6, 2012. e-Pub 2012. PMID: 22570412.
Grant & Contract Support
| Title: | The Cancer Proteome Atlas: an Integrated Bioinformatics Resource for Functional Cancer Proteomic Data |
| Funding Source: | NCI |
| Role: | Co-Investigator |
| Title: | An Integrative Proteome Approach to Identifying Effective Drug Combinations in Lung Cancer |
| Funding Source: | UT MD Anderson Cancer Center |
| Role: | Principal Investigator |
| Title: | Systematic identification of synthetic lethal interactions through functional proteomics |
| Funding Source: | UT MD Anderson Cancer Center |
| Role: | Principal Investigator |