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Zheng Yin, PhD

Instructor in Systems Medicine and Bioengineering, Institute for Academic Medicine
Instructor, Research Institute
Houston Methodist

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. DOI: 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. DOI: 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. DOI: 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, STC & Bakal, C 2015, BioEssays, vol 36, no. 12, pp. 1195-1203. DOI: 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. DOI: 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, STC & Hsueh, WA 2014, Molecular and Cellular Endocrinology, vol 394, no. 1-2, pp. 80-87. DOI: 10.1016/j.mce.2014.06.018

Genomics-Based Cancer Theranostics
Yin, Z, Mancuso, JJ, Li, F & Wong, STC 2014, . in Cancer Theranostics. Elsevier, pp. 9-20. DOI: 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, STC 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. DOI: 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, STC, Newgard, CB, Torre-Amione, G, Taegtmeyer, H & Hsueh, WA 2014, Circulation: Cardiovascular Genetics, vol 7, no. 3, pp. 266-276. DOI: 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. DOI: 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, STC, Li, XN, Foster, AE, Ahmed, N & Deneen, B 2013, Journal of Neuroscience, vol 33, no. 33, pp. 13560-13568. DOI: 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, STC & Bakal, C 2013, Nature Cell Biology, vol 15, no. 7, pp. 860-871. DOI: 10.1038/ncb2764

Chapter 17: Bioimage Informatics for Systems Pharmacology
Li, F, Yin, Z, Jin, G, Zhao, H & Wong, STC 2013, PLoS Computational Biology, vol 9, no. 4, e1003043. DOI: 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, STC, Wang, RF & Hsueh, WA 2013, Cell Metabolism, vol 17, no. 3, pp. 411-422. DOI: 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. DOI: 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. DOI: 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. DOI: 10.1186/1471-2105-9-264

Detecting biomarkers for major adverse cardiac events using SVM with PLS feature selection and extraction
Yin, Z, Zhou, X, Wang, H, Sun, Y & Wong, STC 2007, . in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 4492 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 4492 LNCS, pp. 1097-1106, 4th International Symposium on Neural Networks, ISNN 2007, Nanjing, China, 6/3/07.

Online phenotype discovery in high-content RNAi screens using gap statistics
Yin, Z, Zhou, X, Bakal, C, Li, F, Sun, Y, Perrimon, N & Wong, STC 2007, . in AIP Conference Proceedings. vol. 952, pp. 86-95, 2007 International Symposium on Computational Models for Life Sciences, CMLS 07, Gold Coast, QLD, Australia, 12/17/07. DOI: 10.1063/1.2816647