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Zhisong He

Professor: Philipp Khaitovich

Zhisong received his Bachelor degree (major: bioinformatics) in Zhejiang University, China in 2009, and joined Dr. Philipp Khaitovich’s lab in CAS-MPG Partner Institute for Computational Biology in Shanghai as a PhD candidate. Until his graduation in 2014, Zhisong worked in comparison  of spatial-temporal brain transcriptome profiles of humans and non-human primates, aiming to identify human-specific features which may be responsible for human-specific cognitive advance. After receiving his PhD degree, he has been working in the same group, and expanded his research interests into other levels of molecular features, including metabolome and lipidome, as well as molecular alterations in brains of mental disorder patients, aiming for the underlying mechanisms of advanced intelligence and cognitive ability in humans.


Mechanisms of organizing a neural response in the brain of primates, rodents and invertebrate.

Yu Q, He Z#. Comprehensive investigation of temporal and autism-associated cell type composition-dependent and independent gene expression changes in human brains. Scientific Reports. 2017;7:4121.
He Z*, Han D*, et al. Comprehensive transcriptome analysis of neocortical layers in humans, chimpanzees and macaques. Nature Neuroscience. 2017; doi:10.1038/nn.4548.
Kao CY*, He Z*, et al. Fluoxetine treatment rescues energy metabolism pathway alterations in a posttraumatic stress disorder mouse model. Mol Neuropsychiatry. 2016;2:46-59.
Kao CY*, He Z*, et al. Fluoxetine treatment prevents the inflammatory response in a mouse model of posttraumatic stress disorder. Journal of Psychiatric Research. 2016 76:74-83.
Hughes DA, Kircher M, He Z, et al. Evaluating intra- and inter-individual variation in the human placental transcriptome. Genome Biology. 2015 16:54.
He Z*, Bammann H*, et al. Conserved expression of lincRNA during human and macaque prefrontal cortex development and maturation. RNA. 2014 Jul;20(7):1103-11.
He ZS, Shi XH, et al. A novel sequence-based method for phosphorylation site prediction with feature selection and analysis. Protein Peptide Lett. 2011 Nov; 19(1):70-8.
He Z#, Zhang J, et al. Predicting drug-target interaction networks based on functional groups and biological features. PLoS One. 2010 Mar 11;5(3):e9603.

2009.9 – 2014.11, PhD in Computational Biology, CAS-MPG Partner Institute for Computational Biology, SIBS, CAS (Supervisor: Philipp Khaitovich)

2005.9 – 2009.7, BSc in Bioinformatics, College of Life Sciences, Zhejiang University (Mentor: Ming Chen)