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Zheng Yin, PhD

Instructor of Computational Biology and Mathematics in Oncology, Institute for Academic Medicine
Instructor & Director, Biomedical Informatics Service Core, Research Institute
Houston Methodist


ZYin@houstonmethodist.org
Publications

Clusterin impairs hepatic insulin sensitivity and adipocyte clusterin associates with cardiometabolic risk
Bradley, D, Blaszczak, A, Yin, Z, Liu, J, Joseph, JJ, Wright, V, Anandani, K, Needleman, B, Noria, S, Renton, D, Yearsley, M, Wong, ST & Hsueh, WA 2019, Diabetes Care, vol. 42, no. 3, pp. 466-475. https://doi.org/10.2337/dc18-0870

Two birds, one stone: Hesperetin alleviates chemotherapyinduced diarrhea and potentiates tumor inhibition
Yu, Y, Kong, R, Cao, H, Yin, Z, Liu, J, Nan, X, Phan, AT, Ding, T, Zhao, H & Wong, ST 2018, Oncotarget, vol. 9, no. 46, pp. 27958-27973. https://doi.org/10.18632/oncotarget.24563

KAT2A coupled with the a-KGDH complex acts as a histone H3 succinyltransferase
Wang, Y, Guo, YR, Liu, K, Yin, Z, Liu, R, Xia, Y, Tan, L, Yang, P, Lee, J-H, Li, X-J, Hawke, D, Zheng, Y, Qian, X, Lyu, J, He, J, Xing, D, Tao, YJ & Lu, Z 2017, Nature, vol. 552, no. 7684, pp. 273-277. https://doi.org/10.1038/nature25003

C-reactive protein promotes bone destruction in human myeloma through the CD32-p38 MAPK-Twist axis
Yang, J, Liu, Z, Liu, H, He, J, Yang, J, Lin, P, Wang, Q, Du, J, Ma, W, Yin, Z, Davis, E, Orlowski, RZ, Hou, J & Yi, Q 2017, Science signaling, vol. 10, no. 509. https://doi.org/10.1126/scisignal.aan6282

KAT2A coupled with the a-KGDH complex acts as a histone H3 succinyltransferase
Yin, Z 2017, Nature.

Current Computational Models for Prediction of the Varied Interactions Related to Noncoding RNAs
Chen, X, Peng, H & Yin, Z 2016, BioMed Research International, vol. 2016, 4183574. https://doi.org/10.1155/2016/4183574

How cells explore shape space: A quantitative statistical perspective of cellular morphogenesis
Yin, Z, Sailem, H, Sero, J, Ardy, R, Wong, ST & Bakal, C 2015, BioEssays, vol. 36, no. 12, pp. 1195-1203. https://doi.org/10.1002/bies.201400011

Integration of multiscale dendritic spine structure and function data into systems biology models
Mancuso, JJ, Cheng, J, Yin, Z, Gilliam, JC, Xia, X, Li, X & Wong, STC 2014, Frontiers in Neuroanatomy, vol. 8, no. November, 130. https://doi.org/10.3389/fnana.2014.00130

Transcriptome analysis of human adipocytes implicates the NOD-like receptor pathway in obesity-induced adipose inflammation
Yin, Z, Deng, T, Peterson, LE, Yu, R, Lin, J, Hamilton, DJ, Reardon, PR, Sherman, V, Winnier, GE, Zhan, M, Lyon, CJ, Wong, ST & Hsueh, WA 2014, Molecular and Cellular Endocrinology, vol. 394, no. 1-2, pp. 80-87. https://doi.org/10.1016/j.mce.2014.06.018

Genomics-Based Cancer Theranostics
Yin, Z, Mancuso, JJ, Li, F & Wong, ST 2014, . in Cancer Theranostics. Elsevier, pp. 9-20. https://doi.org/10.1016/B978-0-12-407722-5.00002-5

An integrated analytic pipeline for identifying and predicting genetic interactions based on perturbation data from high content double RNAi screening
Yin, Z, Li, F & Wong, ST 2014, . in ACM International Conference Proceeding Series., 7, Association for Computing Machinery, 2014 Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2014, Atlanta, GA, United States, 7/13/14. https://doi.org/10.1145/2616498.2616513

Mechanical unloading promotes myocardial energy recovery in human heart failure
Gupte, AA, Hamilton, DJ, Cordero-Reyes, AM, Youker, KA, Yin, Z, Estep, JD, Stevens, RD, Wenner, B, Ilkayeva, O, Loebe, M, Peterson, LE, Lyon, CJ, Wong, ST, Newgard, CB, Torre, G, Taegtmeyer, H & Hsueh, WA 2014, Circulation: Cardiovascular Genetics, vol. 7, no. 3, pp. 266-276. https://doi.org/10.1161/CIRCGENETICS.113.000404

Transcriptional signaling pathways inversely regulated in Alzheimer's disease and glioblastoma multiform
Liu, T, Ren, D, Zhu, X, Yin, Z, Jin, G, Zhao, Z, Robinson, D, Li, X, Wong, K, Cui, K, Zhao, H & Wong, STC 2013, Scientific Reports, vol. 3, 3467. https://doi.org/10.1038/srep03467

The miR-223/nuclear factor I-A axis regulates glial precursor proliferation and tumorigenesis in the CNS
Glasgow, SM, Laug, D, Brawley, VS, Zhang, Z, Corder, A, Yin, Z, Wong, ST, Li, XN, Foster, AE, Ahmed, N & Deneen, B 2013, Journal of Neuroscience, vol. 33, no. 33, pp. 13560-13568. https://doi.org/10.1523/JNEUROSCI.0321-13.2013

A screen for morphological complexity identifies regulators of switch-like transitions between discrete cell shapes
Yin, Z, Sadok, A, Sailem, H, McCarthy, A, Xia, X, Li, F, Garcia, MA, Evans, L, Barr, AR, Perrimon, N, Marshall, CJ, Wong, ST & Bakal, C 2013, Nature Cell Biology, vol. 15, no. 7, pp. 860-871. https://doi.org/10.1038/ncb2764

Chapter 17: Bioimage Informatics for Systems Pharmacology
Li, F, Yin, Z, Jin, G, Zhao, H & Wong, ST 2013, PLoS Computational Biology, vol. 9, no. 4, e1003043. https://doi.org/10.1371/journal.pcbi.1003043

Class II major histocompatibility complex plays an essential role in obesity-induced adipose inflammation
Deng, T, Lyon, CJ, Minze, LJ, Lin, J, Zou, J, Liu, JZ, Ren, Y, Yin, Z, Hamilton, DJ, Reardon, PR, Sherman, V, Wang, HY, Phillips, KJ, Webb, P, Wong, ST, Wang, R & Hsueh, WA 2013, Cell Metabolism, vol. 17, no. 3, pp. 411-422. https://doi.org/10.1016/j.cmet.2013.02.009

A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties of functional gene network
You, ZH, Yin, Z, Han, K, Huang, DS & Zhou, X 2010, BMC Bioinformatics, vol. 11, 343. https://doi.org/10.1186/1471-2105-11-343

Online phenotype discovery based on minimum classification error model
Yin, Z, Zhou, X, Sun, Y & Wong, STC 2009, Pattern Recognition, vol. 42, no. 4, pp. 509-522. https://doi.org/10.1016/j.patcog.2008.09.032

Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throughput RNAi screens
Yin, Z, Zhou, X, Bakal, C, Li, F, Sun, Y, Perrimon, N & Wong, STC 2008, BMC Bioinformatics, vol. 9, 264. https://doi.org/10.1186/1471-2105-9-264

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