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Jia Lab

Department of Botany & Plant Sciences

Tuebingen Antiquariat / Publications / Books

Publications

2022

  1. Qu, H., Li, R. at al. (2021) IIIandMe: An Algorithm for Determination of Chromosome-Scale Haplotypes Using Whole Genome Amplification of Three Gametes. (in preparation)

  2. Qu, H., Chater, J. at al. (2021) Phylogenetic Analysis of Pomegranate Cultivars Using Whole-Genome Sequencing Data. (in preparation)

  3. Yu, L., Ma, R., Li, R., Qu, H., Feng, Y., Shah, R., Zhou, R., Wang, M., Chater J.M., Wang, S., Jia, Q., Traband, R., Wang, X., Qiao, Y., Zhu, J., Zhong, W., Hu, X.*, Jia, Z.* (2021) Hierarchically learning multi-omics accurately predicts prostate cancer outcomes and discloses the relevance to human papillomavirus. (in preparation)

  4. Wang, S. et al. (2021) Identification of Genetic Determinants for Heterosis in Rice Using GWAS. (in preparation)

  5. Qu, H. et al. (2021) D2T: Decomposition of Genotypes of Tetraploid Individuals using Genomic Data of Diploid Population. (in preparation)

  6. Chater, J.M. et al. (2021) Comparison of testing G×E effects with and without biological replicates. (in preparation)

  7. Wang, S. et al. (2021) GWAS2: 2nd Generation Genome-wide Association Study Leveraging Chromosome-length Haplotypes. (in preparation)

  8. Wang, W., Yuan, D., Su, J., Chen, W., Song, J., Jiang, K., Li, R., Qu, H., Yang, S., Hu, B., Zhu, G., Zhang, W., Jiang, F., Zhong, W., Sun, F., Jia, Z., Zhu, J. (2021) Genome-wide CRISPR-Cas9 Screening in Mice for Identification of Human Genes that Promote Growth and Metastasis of Prostate Cancer. (in preparation)

  9. Feng, Y., Han, Z., Ye, J., Cai, Z., Deng, Y., Liu, R., Li, R., Qu, H., Wang, S., Yu, L., Zhou, R., Lu, J., Chater, J., Zeng, G., Zhu, J., He, H., Jia, Z., Zhong, W. (2021) Development of prognostic model for clear cell renal cell carcinoma using biomarkers selected from competitive endogenous RNA network. (in preparation)

  10. Yuan, D., Zhang, Y., Wang, W., Su, J., Liu, Z., Jiao, K., Zhang, W., Xiao, S., Zhang, M., Jiang, F., Sun, Z., Jia, Z.*, Zhu, J.* (2021) ZFP36 influences prostate cancer phenotype by inversely regulating the downstream KIF4A gene in relevant pathways. Future Oncology. (submitted)

  11. Liu, S., Chen, M., Li, R., Li, W., Gal-On, A., Jia, Z.*, Ding, S.* (2021) Antiviral RNA interference drives natural host adaptation to virus infection. Nature Communications. (under review)

  12. Li, R., Zhu, J., Zhong, W., Jia, Z. (2022) Comprehensive evaluation of machine learning models and gene expression signatures for prostate cancer prognosis using large population cohorts. Cancer Research. (under review)

  13. Li, R., Zhu, J., Zhong, W., Jia, Z. (2022) PCaDB - a comprehensive and interactive database for transcriptomes from prostate cancer population cohorts. Cancer Research. (under review)

 

2021

  1. Kumar, V., McClelland, M., Nguyen, J., Robles, G.D., Ittmann, M., Castro, P., Mercola, D., Jia, Z. and Rahmatpanah, F. (2021) Expression of Endogenous Retroviral RNA in Prostate Tumors has Prognostic Value and Shows Differences among Americans of African Versus European/Middle Eastern Ancestry. Cancers, 13, 6347.

  2. Xu, K., Rahmatpanah, F., Jia, Z. (2021) Editorial: Therapeutic Opportunities and Innovative Biomarkers in Tumor Microenvironment. Frontiers in Oncology. 11:803414, doi: 10.3389/fonc.2021.803414

  3. Qu, M., Qu, H., Jia, Z., Kay, S. A. (2021) HNF4A defines tissue-specific circadian rhythms by beaconing BMAL1::CLOCK chromatin binding and shaping rhythmic chromatin landscape. Nature Communications.12, 6350 (2021). https://doi.org/10.1038/s41467-021-26567-3

  4. Li, R.*, Qu, H., Wang, S., Chater, M. J., Wang, X., Cui, Y., Yu, L., Zhou, R., Jia, Q., Traband, R., Wang, M., Xie, W., Yuan, D., Zhu, J.*, Zhong, W.*, Jia, Z.* (2021) CancerMIRNome: an interactive analysis and visualization database for miRNome profiles of human cancer. Nucleic Acids Research. doi: 10.1093/nar/gkab784

  5. Zhou, R., Feng, Y., Ye, J., Han, Z., Liang, Y., Chen, Q., Xu, X., Huang, Y., Jia, Z.*, Zhong, W.* (2021) Prediction of biochemical recurrence free survival of prostate cancer patients leveraging multiple gene expression profiles in tumor microenvironment. Frontiers in Oncology. 11:632571, doi: 10.3389/fonc.2021.632571

  6. Lu, J., Zhong, C., Luo, J., Shu, F., Lv, D., Liu, Z., Tan, X., Wang, S., Wu, K., Yang, T., Zhong, W., Wang, B., Chen, Y., Li, Y., Jia, Z., Zou, Y., Zhong, W., Miao, X. (2021) HnRNP-L regulated circCSPP1/miR-520h/EGR1 axis modulates autophagy and promotes progression in prostate cancer. Molecular Therapy - Nucleic Acids. 26, doi: 10.1016/j.omtn.2021.10.006

  7. Huang, C.Y., Rangel, D., Qin, X., Bui, C., Li, R., Jia, Z., Cui, X., Jin, H. (2021) The chromatin remodeling protein BAF60/SWP73A regulates the plant immune receptor NLRs. Cell host & microbe. 29, 425–434.

  8. Fan, C., Hao, M., Jia, Z., Neri, C., Chen, X., Chen, W., Liu, D., Lukaszewski, A. (2021) Some characteristics of crossing over in induced recombination between chromosomes of wheat and rye. The Plant Journal. 105(6):1665-1676. doi: 10.1111/tpj.15140.

 

2020

  1. Song, J., Zhu, J., Chen, W., Zhu, G., Wang, W., Chen, C., Jia, Z., Zha, Y., Xu, P., Wang, Z., Sun, F., Zhang, X. (2020) Expression Profiles Revealed Potential Kidney Injury caused by SARS-CoV-2: A Systematic Analysis of ACE2 and Clinical Lessons Learned from this Discovery. Aging. 13(8):10821-10832.

  2. Song, J., Han, J., Liu, F., Chen, X., Qian, S., Wang, Y., Jia, Z., Duan, X., Zhang, X., Zhu, J. (2020) Systematic Analysis of Coronavirus Disease 2019 (COVID-19) Receptor ACE2 in Malignant Tumors: Pan-Cancer Analysis. Front. Mol. Biosci. 7:569414.

  3. Li, R., Wang, S., Cui, Y., Qu, H., Chater, J., Zhang, L., Wei, J., Wang, M., Xu, Y., Yu, L., Lu, J., Feng, Y., Zhou, R., Huang, Y., Ma, R., Zhu, J., Zhong, W., Jia, Z.* (2020) Extended Application of Genomic Selection to Screen Multi-Omics Data for Prognostic Signatures of Prostate Cancer. Briefings in Bioinformatics. bbaa197, https://doi.org/10.1093/bib/bbaa197

  4. Li, R., Qu, H., Chen, J., Wang, S., Chater, J., Zhang, L., Wei, J., Zhang, Y., Xu, C., Zhong, W., Zhu, J., Lu, J., Feng, Y., Chen, W., Ma, R., Ferrante, S., Roose, M., Jia, Z.* (2020) Inference of Chromosome-Length Haplotypes Using Genomic Data of Three or a Few More Single Gametes. Molecular Biology and Evolution. msaa176. doi:10.1093/molbev/msaa176

  5. Alam, R., Hummel, M., Yeung, E., Locke, A., Ignacio, J., Baltazar, M., Jia, Z., Ismail, A. M., Eptiningsih, E., Bailey-Serres, J. (2020) Flood resilience loci SUBMERGENCE 1 and ANAEROBIC GERMINATION 1 interact in seedlings established underwater. Plant Direct. DOI: 10.1002/pld3.240

  6. Wang, S., Xu, Y., Qu, H., Cui, Y., Li, R., Chater, J. M., Yu, L., Zhou, R., Ma, R., Huang, Y., Qiao, Y., Hu, X., Xie, W., Jia, Z.* (2020) Boosting Predictabilities of Agronomic Traits in Rice using Bivariate Genomic Selection. Briefings in Bioinformatics. bbaa103, https://doi.org/10.1093/bib/bbaa103

  7. Chater, J., Jia, Z., Merhaut, D., Preece, J., Qin, G., Liu, C., Li, J. (2020) Register of New Fruit and Nut Cultivars List 50: Pomegranate. HortScience. https://doi.org/10.21273/HORTSCI50register-20: 34-36.

  8. Herniter, I., Lo, R., Muñoz-Amatriaín, M., Lo, S., Guo, Y.-N., Huynh, B.-L., Lucas, M., Jia, Z., Roberts, P., Close, T. (2020) Seed Coat Pattern QTL and Development in Cowpea (Vigna unguiculata [L.] Walp.). Frontiers in Plant Science. 10:1346

  9. Chater, J. M.*, Duong, F. V., Alas, M. G., Yip, M. K., Zib, A. N., Luu, I. J., Chu, C., Carrillo-Kashani, A., Wang, S., Li, R., Qu, H., Merhaut, D. J., Jia, Z.* (2020) Postharvest quality of imported, domestic and minimally processed pomegranate fruit. International Journal of Fruit Science. DOI: 10.1080/15538362.2020.1734896

 

2019

  1. Ashworth, V., Chen, H., Calderón-Vázquez, C., Lu Arpaia, M., Kuhn, D., Durbin, D., Tommasini, L., Deyett, E., Jia, Z., Clegg, M., Rolshausen, P. (2019) Quantitative Trait Locus Analysis in Avocado: the Challenge of a Slow-Maturing Horticultural Tree Crop. Journal of the American Society for Horticultural Science. 144(5):352-362.

  2. Ling, X., Fu, H., Chen, Z., Lu, J., Zhuo, Y., Chen, J., Zhong, W., Jia, Z. (2019) miR‑505 suppresses prostate cancer progression by targeting NRCAM. Oncology Reports. 42: 991-1004. DOI: 10.3892/or.2019.7231

  3. Herniter, I., Jia, Z., Kusi, F. (2019) Market preferences for cowpea (Vigna unguiculata [L.] Walp) dry grain in Ghana. African Journal of Agricultural Research. 14(22): 928-934.

  4. Wei, J., Xie, W., Li, R., Wang, S., Qu, H., Ma, R., Zhou, X., Jia, Z.* (2019) Analysis of Trait Heritability in Functionally Partitioned Rice Genome. Heredity. 10.1038/s41437-019-0244-9

  5. Jia, Z., Zhu, J., Zhuo, Y., Li, R., Qu, H., Wang, S., Wang, M., Lu, J., Chater, J., Ma, R., Liu, Z., Cai, Z., Wu, Y., Jiang, F., He, H., Zhong, W., Wu, C. (2019) Offsetting Expression Profiles of Prognostic Markers in Prostate Tumor versus its Microenvironment. Frontiers in Oncology. 9:539. doi: 10.3389/fonc.2019.00539

  6. Wang, S., Wei, J., Li, R., Qu, H., Chater, J., Ma, R., Li, Y., Xie, W., Jia, Z.* (2019) Identification of Optimal Prediction Models Using Multi-omic Data for Selecting Hybrid Rice. Heredity. 123: 395-406

  7. Chater, J., Mathon, C., Larive, C., Merhaut, D., Tinoco, L., Mauk, P., Jia, Z., Preece, J. (2019) Juice quality traits, potassium content, and 1H NMR-derived metabolites of 14 pomegranate cultivars. Journal of Berry Research. 9: 209-225.

  8. Zhang, Y.-M., Jia, Z., Dunwell, J. (2019) Editorial: The Applications of New Multi-Locus GWAS Methodologies in the Genetic Dissection of Complex Traits. Frontiers in Plant Science. 10:100. doi: 10.3389/fpls.2019.00100

 

2018

  1. Lu, J., Dong, W., He, H., Han, Z., Zhuo, Y., Mo, R., Liang, Y., Zhu, J., Li, R., Qu, H., Zhang, L., Wang, S., Ma, R., Jia, Z.*, Zhong, W. (2018) Autophagy induced by overexpression of DCTPP1 promotes tumor progression and predicts poor clinical outcome in prostate cancer. International Journal of Biological Macromolecules. 118: 599-609.

  2. Du, C., Wei, J., Wang, S., Jia, Z.* (2018) Genomic Selection using Principal Component Regression. Heredity. 121: 12–23.

  3. Li, R., Qu, H., Wang, S., Wei, J., Zhang, L., Ma, R., Lu, J., Zhu, J., Zhong, W., Jia, Z.* (2018) GDCRNATools: an R/Bioconductor package for integrative analysis of lncRNA, miRNA, and mRNA data in GDC. Bioinformatics. 34(14): 2515-2517.

  4. Chater, J., Santiago, L., Merhaut, D., Jia, Z., Mauk, P., Preece, J. (2018) Orchard establishment, precocity, and eco-physiological traits of several pomegranate cultivars. Scientia Horticulturae. 235: 221-227.

  5. Chater, J., Merhaut, D., Jia, Z., Mauk, P., Preece, J. (2018) Fruit Quality Traits of Ten California-grown Pomegranate Cultivars Harvested over Three Months. Scientia Horticulturae. 237: 11-19.

  6. Chater, J., Merhaut, D., Jia, Z., Arpaia, M., Mauk, P., Preece, J. (2018) Effects of Site and Cultivar on Consumer Acceptance of Pomegranate. Journal of Food Science. 83(5): 1389-1395.

  7. Chater, J., Santiago, L., Merhaut, D., Preece, J., Jia, Z. (2018) Diurnal Patterns of Photosynthesis and Water Relations for Four Orchard-Grown Pomegranate (Punica granatum L.) Cultivars. Journal of the American Pomological Society. 72(3): 157-165.

  8. Chater, J., Preece, J., Merhaut, D., Jia, Z. (2018) Register of New Fruit and Nut Cultivars List 49: Pomegranate. HortScience. 53(6): 770-770.

  9. Yuan, D., Wang, W., Su, J., Zhang, Y., Luan, B., Rao, H., Cheng, T., Zhang, W., Xiao, S., Zhang, M., Jiang, F., Sun, Z., Jia, Z.*, Zhong, W., Zhu, J. (2018) SOCS6 functions as a tumor suppressor by inducing apoptosis and inhibiting angiogenesis in human prostate cancer. Current Cancer Drug Targets. 18: 1-11. DOI:10.2174/1568009618666180102101442

 

2017

  1. Wei, J., Wang, A., Li, R., Qu, H., Jia, Z.* (2017) Metabolome-wide association studies for agronomic traits of rice. Heredity. 120: 342–355

  2. Jia, Z. (2017) Controlling the Overfitting Heritability in Genomic Selection through Cross Validation. Scientific Reports. 7: 13678, DOI:10.1038/s41598-017-14070-z

  3. Wang, J., Yang, X., Chen, H., Wang, X., Wang, X., Fang, Y., Jia, Z.*, Gao, J. (2017) A high-throughput method to detect RNA profiling by integration of RT-MLPA with next generation sequencing technology. Oncotarget. 8(28):46071-46080.

  4. Jia, Z., Lee, C., Zi, X., McClelland, M., Mercola, D. (2017) Tumor Microenvironment: Prospects for Diagnosis and Prognosis of Prostate Cancer Based on Changes in Tumor-Adjacent Stroma. Precision Molecular Pathology of Prostate Cancer. Editors: Brian D. Robinson, Juan Miguel Mosquera, Jae Y. Ro, Mukul Divatia. Springer. p.259-275.

 

2016 and earlier

  1. Simon, E.L., Griffin, G., Orlik, K., Jia, Z., Hayslip, D., Kobe, D., Jouriles, N. (2016) Patient Insurance Profiles: A Tertiary Care Compared to Three Freestanding Emergency Departments. J Emerg Med, 51(4):466-470.

  2. Simon, E.L., Kovacs, M., Jia, Z., Hayslip, D., Orlik, K., Jouriles, N. (2015) A comparison of acuity levels between 3 freestanding and a tertiary care ED. The American Journal of Emergency Medicine, 33(4): 539–541.

  3. Baron, V.T., Pio, P., Jia, Z., Mercola, D. (2015) Early Growth Response 3 regulates genes of inflammation and directly activates IL6 and IL8 expression in prostate cancer. British Journal of Cancer, 112(4):755-64.

  4. Zhu, J., Pan, C., Jiang, J., Deng, M., Gao, H., Men, B., McClelland, M., Mercola, D., Zhong, W., Jia, Z.* (2015) Six stroma-based RNA markers diagnostic for prostate cancer in European-Americans validated at the RNA and protein levels in patients in China. Oncotarget, 6(18):16757-65.

  5. Sivec, H., Hewit, M., Jia, Z., Montesano, V., Munetz, M. and Kingdon, D. (2015). Reanalyses of Turkington et al. (2014): Correcting Errors and Clarifying Findings. Journal of Nervous and Mental Disorder, 203(12):975-976.

  6. Jia, Z., Xu, X., Koziol, J. and Zhong, W.D. (2015) Sample size calculation for single-arm phase 2 prostate cancer trials. Personalized Medicine in Oncology, 4(6):318-321

  7. Li, L, Hu, X, Yang, Z, Jia, Z., Fang, M, Zhang, L, and Zhou, Y. (2014) Establishing Reliable MiRNA-cancer Association Network Based on Text-mining Method. Computational and Mathematical Methods in Medicine, Volume 2014, Article ID 746979, 8 pages. [http://dx.doi.org/10.1155/2014/746979].

  8. Koziol, J, and Jia, Z.* (2014) Weighted Lin-Wang Tests for Crossing Hazards. Computational and Mathematical Methods in Medicine Volume 2014, Article ID 643457, 5 pages. [http://dx.doi.org/10.1155/2014/643457].

  9. Lee, C, Jia, Z., Rahmatpanah, F, Zhang, Q, Zi, X, McClelland, M, and Mercola, D. (2014) Role of the Adjacent Stroma Cells in Prostate Cancer Development and Progression: Synergy between TGF-beta and IGF Signaling. BioMed Research International, Volume 2014, Article ID 502093, 8 pages. [http://dx.doi.org/10.1155/2014/502093].

  10. Einsporn, R. and Jia, Z. (2014) A Note regarding Problems with Interaction and Varying Block Sizes in a Comparison of Endotracheal Tubes. Computational and Mathematical Methods in Medicine, Volume 2014, Article ID 956917, 4 pages. [http://dx.doi.org/10.1155/2014/956917].

  11. Gao, L., Phan, S., Nadora, D.M., Chernova, M., Sun, V., Preciado, S.M., Ballew, B., Jia, Z., Jia, W., Wang, G., Mihm, M.C. Jr, Nelson, J.S., Tan, W. (2014) Topical Rapamycin Systematically Suppresses Early Stage of Pulsed Dye Laser-Induced Angiogenesis Pathways. Lasers in Surgery and Medicine 46(9):679-88.

  12. Cao, J.N., Agrawal, A., Sharman, E., Jia, Z., Gupta, S. (2014) Alterations in gene array patterns in dendritic cells from aged humans. PLoS One, 9(9):e106471. [doi:10.1371/journal.pone.0106471].

  13. Datta, S., Xia, X., Bhattacharjee, S. Jia, Z.* (2014) Editorial: Advances in Statistical Medicine. Computational and Mathematical Methods in Medicine, Volume 2014, Article ID 316153, 2 pages. [http://dx.doi.org/10.1155/2014/316153].

  14. Rahmatpanah, F., Jia, Z., Chen, X., Char, J., Men, B., Franke, A.C., Jones, F., McClelland, M., Mercola, D. (2014) A class of genes in the HER2 regulon that is poised for transcription in breast cancer cell lines and expressed in human breast tumors. Oncotarget, 6(2):1286-301.

  15. Chen, X., McClelland, M., Jia, Z., Rahmatpanah, F., Sawyers, A., Trent, J., Duggan, D., Mercola, D. (2014) The identification of trans-associations between prostate cancer GWAS SNPs and RNA expression differences in tumor-adjacent stroma. Oncotarget, 6(3):1865-73.

  16. Cheng, C., Pal, S., Tifrea, D., Jia, Z., de la Maza, L.M. (2014) A vaccine formulated with a combination of TLR-2 and TLR-9 adjuvants and the recombinant major outer membrane protein elicits a robust immune response and significant protection against a Chlamydia muridarum challenge. Microbes Infect. 16(3):244-52.

  17. Kinseth, M., Jia, Z., Rahmatpanah, F., Sawyers, A., Sutton, M., Wang-Rodriguez, J., Mercola, D., McGuire, K. (2014) Expression differences between African American and Caucasian prostate cancer tissue reveals that stroma is the site of aggressive changes. International Journal of Cancer, 134(1):81-91.

  18. Jia, Z.*, Lilly, M., Koziol, J., Chen, X., Xia, X., Wang, Y., Skarecky, D., Sutton, M., Sawyers, A., Ruckle, H., Carpenter, P., Wang-Rodriguez, J., Jiang, J., Deng, M., Pan, C., Zhu, J., McLaren, C., Gurley, M., Lee, C., McClelland, M., Ahlering, T., Kattan, M., Mercola, D. (2014) Generation of “virtual” control groups for single arm prostate cancer adjuvant trials. PLoS One. 9(1): e85010. [doi:10.1371/journal.pone.0085010].

  19. Jia, Z.1,*, Wang, Y.1, Hu, Y., McLaren, C., Yu, Y., Ye, K., Xia, X., Koziol, J., Lernhardt, W., McClelland, M. and Mercola, D. (2013) A Sample Selection Strategy to Boost the Statistical Power of Signature Detection in Cancer Expression Profile Studies. Anti-Cancer Agents in Medicinal Chemistry, 13(2):203-11.

  20. Pio, R., Jia, Z., Baron, V., Merola, D. (2013) Early Growth Response Gene 3 (Egr3) is highly over-expressed in non-relapsing prostate cancer but not in relapsing prostate cancer. PLos ONE, 8(1):e54096. [doi: 10.1371/journal.pone.0054096].

  21. Rahmatpanah, F., Jia, Z.*, Chen, X., Jones, F., McClelland, M. and Mercola, D. (2012) Expression of HER2 in Breast Cancer Promotes a Massive Reorganization of Gene Activity and Suggests a Role for Epigenetic Regulation. J Data Mining Genomics Proteomics 3:e102. [doi:10.4172/2153-0602.1000e102].

  22. Chen, Y., Jia, Z., Mercola, D., Xie, X. (2013) A Gradient Boosting Algorithm for Survival Analysis via Direct Optimization of Concordance Index. Comput Math Methods Med. Volume 2013 (2013), Article ID 873595, 8 pages [http://dx.doi.org/10.1155/2013/873595].

  23. Hu, Y., Ru, N., Xiao, H., Chaturbedi, A., Hoa, N.T., Tian, X.J., Zhang, H., Ke, C., Yan, F., Nelson, J., Li, Z., Gramer, R., Yu, L., Siegel, E., Zhang, X., Jia, Z., Jadus, M.R., Limoli, C.L., Linskey, M.E., Xing, J., Zhou, Y.H. (2013) Tumor-specific chromosome mis-segregation controls cancer plasticity by maintaining tumor heterogeneity. PLoS One, 25;8(11):e80898. [DOI: 10.1371/journal.pone.0080898].

  24. Jia, Z.*, Rahmatpanah, F., Chen, X., Lernhardt, W., Wang, Y., Xia, X., Sawyers, A., McClelland, M.* and Mercola, D.* (2012) Expression changes in the stroma of prostate cancer predict subsequent relapse. PLoS ONE, 7(8): e4137. [doi: 10.1371/journal.pone.0041371].

  25. Chen, X., Xu, S., McClelland, M., Rahmatpanah, F., Sawyers, A., Jia, Z.*, Mercola, D*. (2012) An Accurate Prostate Cancer Prognosticator Using a Seven-Gene Signature Plus Gleason Score and Taking Cell Type Heterogeneity into Account. PLoS ONE, 7(9): e45178. [doi: 10.1371/journal.pone.0045178].

  26. Lee, C., Zhang, Q., Zi, X., Dash, A., Soares, M., Rahmatpanah, F., Jia, Z., McClelland, M., Mercola, D. (2012) TGF-β mediated DNA methylation in prostate cancer. Transl Androl Urol, 1(2):78-88.

  27. Basu, A., Banerjee, H., Rojas, H., Martinez, S., Roy, S., Jia, Z., Lilly, M., De León, M., and Casiano, C. (2011) Differential Expression of Peroxiredoxins in Prostate Cancer: Consistent Upregulation of PRDX3 and PRDX4. The Prostate, 71:755-765.

  28. Jia, Z.1, Wang, Y.1, Sawyers, A., Yao, H., Rahmatpanah, F., Xia, X., Xu, Q., Pio, R., Turan, T., Koziol, J., Goodison, S., Carpenter, P., Wang-Rodriquez, J., Simoneau, A., Meyskens, F., Sutton, M., Lernhardt, W., Beach, T, Monforte, J., McClelland, M. and Mercola, D. (2011) Diagnosis of Prostate Cancer Using Differentially Expressed Genes in Stroma. Cancer Research, 71:2476-2487.

  29. Cao, J.N., Gollapudi, S., Sharman, E.H., Jia, Z., Gupta, S. (2010) Age-related Alterations of Gene Expression Patterns in Human CD8+ T cells. Aging Cell, 9:19-31.

  30. Ye, K., Jia, Z., Wang, Y., Flicek, P., Apweiler, R. (2010) Mining Unique-m Substrings from Genomes. Journal of Proteomics & Bioinformatics, 3:99-103.

  31. Xia, X.1, Jia, Z.1, Porwollik, S., Long, F., Hömme, C., Ye, K., Müller-Tidow, C., McClelland, M., Wang, Y. (2010) Evaluating Oligonucleotide Properties for DNA Microarray Probe Design. Nucleic Acids Research, 38:11 e121. [doi:10.1093/nar/gkq039].

  32. Wang, Y.1, Xia, X.1, Jia, Z.1, Sawyers, A., Yao, H., Wang-Rodriquez, J., Mercola, D., McClelland, M. (2010) In silico estimates of tissue components in surgical samples based on expression profiling data. Cancer Research, 70:6448-6455.

  33. Koziol, J., Feng, A., Jia, Z., Wang, Y., Goodison, S., McClelland, M. and Mercola, D. (2009) The Wisdom of the Commons: Ensemble Tree Classifiers for Prostate Cancer Prognosis. Bioinformatics, 25:54-60.

  34. Koziol, J. and Jia, Z.* (2009) The Concordance Index C and the Mann-Whitney Parameter Pr[X>Y] with Randomly Censored Data. Biometrical Journal, 51:467-474.

  35. Cheng, C., Bettahi, I., Cruz-Fisher, M., Pal, S., Jain, P., Jia, Z., Holmgren, J., Harandi, A. and de la Maza, L. (2009) Effective vaccination against Chlamydia trachomatis using the major outer membrane protein adjuvanted with CpG oligodeoxynucleotide coupled to the nontoxic B subunit of cholera toxin. Vaccine, 27:6239-6246.

  36. Jia, Z.* and Xu, S. (2008) Bayesian Mixture Model Analysis for Detecting Differentially Expressed Genes. The International Journal of Plant Genomics, Volume 2008, Article ID 892927, 12 pages. [http://dx.doi.org/10.1155/2008/892927].

  37. Arora, S., Wang, Y., Jia, Z., Vardar-Sengul, S., Munawar, A., Doctor, K., Birrer, M., McClelland, M., Adamson, E. and Mercola, D. (2008) Egr1 Regulates the Coordinated Expression of Numerous EGF Receptor Target Genes as identified by ChIP on chip of Prostate Cancer Cells. Genome Biology, 9:R166. [doi:10.1186/gb-2008-9-11-r166].

  38. Xu, S. and Jia, Z. (2007) Genome-wide Analysis of Epistatic Effects for Quantitative Traits in Barley. Genetics, 175:1955-1963.

  39. Jia, Z. and Xu, S. (2007) Mapping Quantitative Trait Loci for Expression Abundance. Genetics, 176:611-623.

  40. Jia, Z. and Xu, S. (2005) Clustering expressed genes on the basis of their association with a quantitative phenotype. Genetical Research, 86:193-207.

 

*Correspondence Author

 

 

 

 
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