Research interest:
1. Dissecting the underlying mechanisms and regulatory circuits of human polygenic diseases at multiple-layers, using computational biology and statistical genetics;
2. Crosstalk and causal relationships between molecular layers;
3. Deep learning prediction of epigenome and epitranscriptome, and identification of the key regulatory motif syntax;
4. Experimental-based regulatory network identification and validation.
Completed work
Xiong X.#, James B#, Boix C#, et al., Cell, Accepted
Single-cell epigenomic dissection of Alzheimer's disease pinpoints causal genetic variants and reveals epigenome erosion.
Xiong X#, Hou L#, et al., Nat Genet, 2021
Genetic drivers of m6A methylation in human brain, lung, heart and muscle, and their contributions to disease heritability
Hou L#, Xiong X#, et al., Nat Genet, Accepted
Multi-tissue epigenomic variation atlas across 387 GTEx samples interprets disease genetics in brain, heart, muscle, and lung
Li X#, Xiong X#, Zhang M#, Wang K#, et al., Mol Cell 2017
Li X#, Xiong X#, et al., Nat Chem Biol 2016
Base-Resolution Mapping Reveals Distinct m1A Methylome in Nuclear- and Mitochondrial-Encoded Transcripts
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