Chengjian Tu, Ph.D

Research Assistant Professor, Department of Pharmaceutical Sciences

B3-310, 701 Ellicott Street,
Buffalo, NY14203
Phone: 716-888-4729



My primary interests are in disease proteomics analysis by LC/MS-based strategies, and my research programs in the disease proteomic field involve i) high sensitivity, reproducibility, and large-scale profiling of fluid proteomes (e.g. plasma from healthy people, healthy swine, people with colon cancer and secreted proteins from hepatocarcinoma cell lines), which are rich sources of disease/therapeutic biomarkers,  using variously efficient separation/fractionation method (e.g. IEF, 2DLC, antibody-based affinity depletion and combinatorial peptide ligand library technique at protein/peptide level); ii) Sensitive detection and quantification of highly frequency mutated proteins (e.g. p53) of colon cancer, using monoclonal antibody-based affinity method coupled with highly-sensitive nano-LC/MRM-based methods.

Selected Publications

1. Shen X, Nair B, Mahajan SD, Jiang X, Li J, Shen S, Tu C, Hsiao CB, Schwartz SA, Qu J*. New insights into the disease progression control mechanisms by comparing Long-term-non-progressors vs. Normal-progressors among HIV-1 positive patients using an ion current-based MS1 proteomics profiling. J Proteome Res. 14(12):5225-39 (2015)

2. Tu C, Sheng Q, Li J, Ma D, Shen X, Wang X, Shyr Y, Yi Z, Qu J*. Optimization of Search Engines and Postprocessing Approaches to Maximize Peptide and Protein Identification for High-Resolution Mass Data. J Proteome Res. 14(11):4662-73 (2015)

3. Tu C, Beharry KD, Shen X, Li J, Wang L, Aranda JV, Qu J*. Proteomic profiling of the retinas in a neonatal rat model of oxygen-induced retinopathy with a reproducible ion-current-based MS1 approach. J Proteome Res. 14(5):2109-20 (2015)

4. Tu C, Sheng Q, Li J, Shen X, Zhang M, Shyr Y, Qu J*. ICan: An Optimized Ion Current-Based Quantification Procedure with Enhanced Quantitative Accuracy and Sensitivity in Biomarker Discovery. J Proteome Res.13(12):5888-97 (2014)

5. Nouri-Nigjeh E, Sukumaran S, Tu C, Li J, Shen X, Duan X, DuBois DC, Almon RR, Jusko WJ, Qu J*. Highly Multiplexed and Reproducible Ion Current-Based Strategy for Large-Scale Quantitative Proteomics and the Application to Protein Expression Dynamics Induced by Methylprednisolone in 60 Rats. Anal Chem. 86(16):8149-57 (2014)

6. Tu C, Li J, Sheng Q, Zhang M,Qu J*. Systematic assessment of survey scan and MS2-based abundance strategies for label-free quantitative proteomics using high-resolution MS data. J Proteome Res.13(4):2069-79. (2014)

7. Tu C, Mammen MJ, Li J, Shen X, Jiang X, Hu Q, Wang J, Sethi S, Qu J*. Large-scale, ion-current-based proteomics investigation of bronchoalveolar lavage fluid in chronic obstructive pulmonary disease patients. J Proteome Res. 13(2):627-39. (2014)

8. Tu C, Li J, Jiang X, Sheflin LG, Pfeffer BA, Behringer M, Fliesler SJ, Qu J*. Ion-current-based proteomic profiling of the retina in a rat model of Smith-Lemli-Opitz syndrome. Mol Cell Proteomics. 12(12):3583-98 (2013)

9. Tu CJ, Li J, Bu YH, Hangauer D, Qu J* An ion-current-based, comprehensive and reproducible proteomic strategy for comparative characterization of the cellular responses to novel anti-cancer agents in a prostate cell model. J. Proteomics. 77:187-201(2012).

10. Tu CJ, Li J, Young RF, Page BJ, Engler F, Halfon MS, Canty JM, Qu J*. A Combinatorial Peptide Ligand Libraries Treatment Followed by a Dual-Enzyme, Dual-Activation Approach on a nano-flow LC/Orbitrap/ETD for Comprehensive Analysis of Swine Plasma Proteome. Anal Chem, 83:4802-13 (2011)

Update date: May, 2018