Author
Cornell UniversityORCID 0000-0001-8331-6112Unclaimed ORCID profile · follow to get notified of new preprints
6 papers
Recent·Most cited
Yuansong Wan, Ethan Cordes, Weixi Feng, Se-In Lee, Katie Munechika, Yu Sun, Zhisong Gao, Beichen Gao, Jingjie Zhu, Man Ying Wong, Kendra Norman, Siyu Wang, hao chen, Bangyan Liu, Zhong Li, , Li Gan
This study identifies TRAPPC8 as a brake on UFMylation that suppresses tauopathy by interacting with UBA5, showing its therapeutic potential in Alzheimer's disease.
bioRxiv · Aug 23, 2026 · PreprintNeuroscience
Xiaomu Wei, Katie Munechika, Yu Sun, Yuansong Wan, Tianyu Xia, Yuan Hou, Wenqiang Song, Kumar Yugandhar, Yiwen Wang, Se-In Lee, Zhengdong Sha, Yadi Zhou, Weixi Feng, Jingjie Zhu, Y. S. Tang, , Haiyuan Yu
The paper develops a neuron-specific interactome map in human excitatory neurons to identify novel risk genes and pathways in Alzheimer's disease.
bioRxiv · Mar 16, 2026 · PreprintSystems Biology
Siwei Chen, Yuan Liu, Yingying Zhang, Shayne D. Wierbowski, Steven M. Lipkin, Xiaomu Wei, Haiyuan Yu
The paper develops a computational framework to analyze mutational hotspots in cancer genomes using a human 3D interactome network, identifying clinically relevant interactions and proteins.
Genome Research · Jan 1, 2022Peer-reviewedBioinformatics
Rosalie G. Waller, Todd M. Darlington, Xiaomu Wei, Michael J. Madsen, Alun Thomas, Karen P Curtin, Hilary H Coon, Venkatesh Rajamanickam, Justin Musinsky, David S. Jayabalan, Djordje Atanackovic, S. Vincent Rajkumar, Shaji Kunnathu Kumar, Susan L. Slager, Mridu Middha, , Nicola J. Camp
This paper introduces a new pedigree analysis method to identify risk variants for complex diseases, applying it to Multiple Myeloma and finding two genes associated with DNA repair and chromatin remodeling.
PLoS Genetics · Feb 1, 2018Peer-reviewedGenetics
Michael J. Meyer, Juan Felipe Beltrán, Siqi Liang, Robert Fragoza, Aaron Rumack, Jin Hua Liang, Xiaomu Wei, Haiyuan Yu
The paper introduces Interactome INSIDER, a browser for genomic studies that provides predicted protein interaction interfaces and enables analysis of mutations in these interfaces.
Nature Methods · Jan 1, 2018Peer-reviewedGenomics
Siwei Chen, Juan Felipe Beltrán, Xiaomu Wei, Steven Lipkin, Clara Esteban-Jurado, Sebastià Franch-Expósito, Sergi Castellví-Bel, Haiyuan Yu
GeMSTONE is a cloud-based tool for prioritizing germline mutations from whole-genome/exome sequencing data, offering customizable workflows and reproducibility through recipe files.
bioRxiv · May 9, 2016Bioinformatics