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Han Liang, Ph.D.

Present Title & Affiliation

Primary Appointment

Assistant Professor, Department of Bioinformatics and Computational Biology, Division of Quantitative Sciences, The University of Texas M. D. Anderson Cancer Center, Houston, TX

Bio Statement

Dr. Liang received Ph.D. training from the Quantitative and Computational Biology program at Princeton University, which provides graduate education in the interface of biology, the physical sciences, and computational science. His PhD thesis is about RNA informatics on translation termination and alternative splicing. As a postdoctoral researcher, Dr. Liang completed three years of research on computational and evolutionary genomics at the University of Chicago, where his research was about microRNA regulation and gene duplication. Currently, Dr. Liang's research interests include the analysis of next-generation sequencing data,  the integration of cancer genomics data, microRNA regulation, and the evolutionary process of tumor cells. More information is available at http://odin.mdacc.tmc.edu/~hliang1/

Office Address

The University of Texas MD Anderson Cancer Center
1400 Pressler Street
Unit Number: 1410
Houston, TX 77030
Phone: 713-745-9815
Fax: 713-563-4242

Education & Training

Degree-Granting Education

2006 Princeton University, Princeton, NJ, PHD, Quantitative and Computational Biology
2001 Peking University, Beijing, China, BS, Chemistry

Experience/Service

Academic Appointments

Postdoctoral Research Scholar, Ecology and Evolution, The University of Chicago, Chicago, IL, 5/2006-6/2009

Honors and Awards

2014-2016 R. Lee Clark Fellow Award, UT Texas MD Anderson Cancer Center
2012-2014 Uterine SPORE Career Development Award, NIH/NCI
2011 Institutional Nominee for Mary Kay Research Fund 2012 Competition, UT MD Anderson Cancer Center
2008 SMBE Travel Award, SMBE Society
2007 RNA Conference Travel Fellowship, RNA Society
2006 Branco Weiss Fellowship Shortlist, Society in Science, Zurich
2005 Association of Princeton Graduate Alumnae Travel Fellowship, Princeton University
2001 Best Senior Thesis Award, Peking University, China
2000 Outstanding Student Award, Peking University, China
1998 Dupont Fellowship, Peking University, China

Selected Publications

Peer-Reviewed Original Research Articles

1. Yuan Y, Van Allen EM, Omberg L, Wagle N, Amin-Mansour A, Sokolov A, Byers LA, Xu Y, Hess KR, Diao L, Han L, Huang X, Lawrence MS, Weinstein JN, Stuart JM, Mills GB, Garraway LA, Margolin AA, Getz G, Liang H. Assessing the clinical utility of cancer genomic and proteomic data across tumor types. Nat Biotechnol 32(7):644-652, 7/2014. e-Pub 6/2014. PMID: 24952901.
2. Piao HL, Yuan Y, Wang M, Sun Y, Liang H, Ma L. α-catenin acts as a tumour suppressor in E-cadherin-negative basal-like breast cancer by inhibiting NF-κB signalling. Nat Cell Biol 16(3):245-54, 3/2014. e-Pub 2/2014. PMCID: PMC3943677.
3. Yang Y, Han L, Yuan Y, Li J, Hei N, Liang H. Gene co-expression network analysis reveals common system-level properties of prognostic genes across cancer types. Nat Commun 5:3231, 2014. PMCID: PMC3951205.
4. Han L, Yuan Y, Zheng S, Yang Y, Li J, Edgerton ME, Diao L, Xu Y, Verhaak RG, Liang H. The Pan-Cancer analysis of pseudogene expression reveals biologically and clinically relevant tumour subtypes. Nat Commun 5:3963, 2014. e-Pub 7/2014. PMID: 24999802.
5. Omberg L, Ellrott K, Yuan Y, Kandoth C, Wong C, Kellen MR, Friend SH, Stuart J, Liang H, Margolin AA. Enabling transparent and collaborative computational analysis of 12 tumor types within The Cancer Genome Atlas. Nat Genet 45(10):1121-6, 9/2013. PMID: 24071850.
6. 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. Nat Methods 10(11). e-Pub 9/2013. PMID: 24037243.
7. Cancer Genome Atlas Research Network (including Liang H). The Cancer Genome Atlas Pan-Cancer analysis project. Nat Genet 45(10):1113-20, 9/2013. PMID: 24071849.
8. Cancer Genome Atlas Research Network (including Liang H). Integrated Genomic Characterization of Endometrial Carcinoma. Nature 497(7447):67-73, 5/2013. PMCID: PMC3704730.
9. Li Y, Zhang L, Ball RL, Liang X, Li J, Lin Z, Liang H. Comparative analysis of somatic copy-number alterations across different human cancer types reveals two distinct classes of breakpoint hotspots. Hum Mol Genet 21(22):4957-65, 11/2012. e-Pub 8/2012. PMID: 22899649.
10. Liang H*, Cheung LW, Li J, Ju Z, Yu S, Stemke-Hale K, Dogruluk T, Lu Y, Liu X, Gu C, Guo W, Scherer SE, Carter H, Westin SN, Dyer MD, Verhaak RG, Zhang F, Karchin R, Liu CG, Lu KH, Broaddus RR, Scott KL, Hennessy BT, Mills GB. Whole-exome sequencing combined with functional genomics reveals novel candidate driver cancer genes in endometrial cancer. Genome Res 22(11):2120-9, 11/2012. e-Pub 10/2012. PMCID: PMC3483541 (*corresponding author).
11. Chen D, Sun Y, Wei Y, Zhang P, Rezaeian AH, Teruya-Feldstein J, Gupta S, Liang H, Lin HK, Hung MC, Ma L. LIFR is a Breast Cancer Metastasis Suppressor Upstream of the Hippo-YAP Pathway and a Prognostic Marker. Nat Med 18(10):1511-7, 9/2012. e-Pub 9/2012. PMID: 23001183.
12. Kim YH*, Liang H*, Liu X, Lee JS, Cho JY, Cheong JH, Kim H, Li M, Downey TJ, Dyer MD, Sun Y, Sun J, Beasley EM, Chung HC, Noh SH, Weinstein JN, Liu CG, Powis G. AMPKα modulation in cancer progression: multilayer integrative transcriptome analysis in Asian gastric cancer. Cancer Res 72(10):2512-21, 5/2012. e-Pub 3/2012. PMCID: PMC(* co-first and co-corresponding author).
13. Yuan Y, Xu Y, Xu J, Ball RL, Liang H. Predicting the lethal phenotype of the knockout mouse by integrating comprehensive genomic data. Bioinformatics 28(9):1246-52, 5/2012. e-Pub 3/2012. PMCID: PMC3338016.
14. 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 Res 40(W):W123-126, 5/2012. e-Pub 5/2012. PMID: 22570412.
15. Ji Y, Xu Y, Zhang Q, Tsui KW, Yuan Y, Norris C, Liang S, Liang H. BM-Map: Bayesian Mapping of Multireads for Next-Generation Sequencing Data. Biometrics 67(4):1215-24, 12/2011. e-Pub 4/2011. PMCID: PMC3190637.
16. Cheung LW, Hennessy BT, Li J, Yu S, Myers AP, Djordjevic B, Lu Y, Stemke-Hale K, Zhang F, Ju Z, Cantley LC, Scherer SE, Liang H, Lu KH, Broaddus RR, Mills GB. High Frequency of PIK3R1 and PIK3R2 Mutations in Endometrial Cancer Elucidates a Novel Mechanism for Regulation of PTEN Protein Stability. Cancer Discov 1(2):170-185, 7/2011. PMCID: PMC3187555.

Invited Articles

1. Liang H, Kim YH. Identifying molecular drivers of gastric cancer through next-generation sequencing. Cancer Lett. e-Pub 11/2012. PMID: 23178814.
2. Liang H. Decoding the Dual-coding Region: Key Factors Influencing the Translational Potential of a Two-ORF-containing Transcript. Cell Res 20(5):508-9, 5/2010. PMID: 20436511.

Grant & Contract Support

Title: Systematic Functional Characterization of RNA Editing in Endometrial Cancer
Funding Source: NIH/NCI
Role: Principal Investigator
Duration: 4/22/2014 - 3/31/2019
 
Title: R. Lee Clark Fellow Award
Funding Source: UT MD Anderson Cancer Center
Role: Principal Investigator
Duration: 4/1/2014 - 3/31/2016
 
Title: Functional Genomics of Ovarian Cancer
Funding Source: Adelson Medical Research Foundation (AMRF)
Role: Co-Investigator
Principal Investigator: Gordon Mills
Duration: 9/1/2012 - 8/31/2014
 
Title: The Role of RNA Editing in Endometrial Tumorgenesis
Funding Source: NIH/NCI
Role: Principal Investigator
Duration: 9/1/2012 - 8/31/2014
 
Title: MD Anderson Cancer Center Bioinformatics Gift - The Lorraine Dell Program in Bioinformatics for Personalization of Cancer Medicine (Core Projects: Breast Cancer, Lung Cancer)
Funding Source: Michael and Susan Dell Foundation
Role: Co-Investigator
Principal Investigator: John Weinstein
Duration: 4/25/2011 - 8/31/2014
 
Title: An Integrative Pipeline for Analysis & Translational Application of TCGA Data (GDAC)
Funding Source: NIH/NCI
Role: Investigator
Principal Investigator: John Weinstein
Duration: 9/29/2009 - 7/31/2014

Last updated: 6/9/2014