Author

Xusheng Wang

University of Tennessee Health Science Center

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Biology Disciplines

Click to filter author papers

Bioinformatics· 2 Neuroscience· 2 Biochemistry· 1 Genomics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 7 Assay:proteomics· 6 Organism:human· 4 Research Focus:database / resource· 3 Research Focus:differential expression· 3 Organism:mouse· 3 Research Focus:benchmarking· 2 Research Focus:cell type annotation· 2

Frequent Co-Authors

Junmin PengiD· 6 shared Anthony A. HighiD· 4 shared Yingxue FuiD· 4 shared Zuo-Fei YuaniD· 4 shared Him K. ShresthaiD· 3 shared Jay M. YarbroiD· 3 shared Ping-Chung Chen· 3 shared Gang YUiD· 2 shared

Activity by Year

2016-2026 · peak 6/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

6 shared papersBioinformatics

Junmin PengORCID

Mutual co-authors in cluster

Author profile →

7 papers

Recent·Most cited

A Multi-Omics Study of Cognitive Resilience to Alzheimer's Disease

Erming Wang, Boer Xie, Minghui Wang, Yingxue Fu, Xusheng Wang, Yuxin Li, Peng Xu, Huaping Liu, Lap Ho, Zhidong Tu, Charles V. Mobbs, Chris Gaiteri, Michelle E. Ehrlich, David A. A Bennett, Vahram H. Haroutunian, , Bin Zhang

The paper develops a multi-omics cohort of prefrontal cortex data from cognitively normal older adults to identify molecular signatures of cognitive resilience to Alzheimer's disease.

bioRxiv · Sep 6, 2026 · PreprintGenomics

Ground Truth-Based Evaluation of False Discovery Rate and Statistical Power in DIA Proteomics

Jay M. Yarbro, Ya Huang, Vishwajeeth Pagala, Yingxue Fu, Zhen Wang, Long Wu, Xusheng Wang, Anthony A. High, Stephanie D. Byrum, Junmin Peng, Zuo-Fei Yuan

This study evaluates false discovery rate and statistical power in DIA proteomics using technical replicates and spike-in experiments, revealing discrepancies between nominal and true FDR and showing power dependence on fold change and abundance.

bioRxiv · Jun 2, 2026 · PreprintBioinformatics

JUMPlion improves quantitative DIA proteomics through ion-level recovery of missing values

Yingxue Fu, Zuo-Fei Yuan, Stephanie D. Byrum, Long Wu, Junmin Peng, Xusheng Wang, Anthony A. High

JUMPlion improves DIA proteomics by recovering missing ion-level values, enhancing protein quantification accuracy in low-input and single-cell analyses.

bioRxiv · May 1, 2026 · PreprintBioinformatics

Longitudinal Proteomics Analysis of Cerebrospinal Fluid in Survivors of Childhood Acute Lymphoblastic Leukemia

Mingming Niu, Him K. Shrestha, Hong Wang, Xusheng Wang, Kevin R. Krull, Junmin Peng

The paper presents a longitudinal CSF proteomics dataset from childhood ALL survivors to study chemotherapy-induced proteomic changes and neurotoxicity mechanisms.

Scientific Data · Apr 29, 2026Peer-reviewedSystems Biology

Cell type-resolved proteomics reveals intra- and intercellular signalingin Alzheimers disease

Xue Zhang, Kaiwen Yu, Him K. Shrestha, Ying Zhou, Jiyuan Yang, Zhen Wang, Xiaokang Ren, Ping-Chung Chen, Huan Sun, Danting Liu, Yun Jiao, Jay M. Yarbro, Ju Wang, Zhiping Wu, Kiara Harper, , Junmin Peng

The paper presents a cell type-resolved proteomic atlas of Alzheimer's disease mouse models, identifying thousands of cell-specific protein changes and highlighting astrocyte-microglia signaling.

bioRxiv · Feb 4, 2026 · PreprintNeuroscience

Single Plaque Proteomics Reveals the Composition and Dynamics of the Amyloid Microenvironment in Alzheimer's Disease

Mengqi Chu, Ju Wang, Jay M. Yarbro, Ping-Chung Chen, Him K. Shrestha, Huan Sun, Mingming Niu, Zhen Wang, Sarah Harvey, Zhiping Wu, Yingxue Fu, Zuo-Fei Yuan, Tan Haiyan, Anthony A. High, Aijun Zhang, , Junmin Peng

The paper quantifies the proteomic composition of amyloid plaques in AD models and human brains, revealing stage-dependent remodeling and conserved proteins across species.

bioRxiv · Feb 4, 2026 · PreprintNeuroscience

Metabolome Identification by Systematic Stable Isotope Labeling Experiments and False Discovery Analysis with a Target-Decoy Strategy

Drew R. Jones, Xusheng Wang, Tim Shaw, Ji-Hoon Cho, Ping-Chung Chen, Kaushik Kumar Dey, Suiping Zhou, Yuxin Li, Nam Chul Kim, J. Paul Taylor, Udhghatri Kolli, Jiaxu Li, Junmin Peng

The paper introduces JUMPm, a formula-based algorithm for metabolite identification and false discovery rate estimation in metabolomics, validated on yeast and mammalian cells.

bioRxiv · Nov 26, 2016 · PreprintBiochemistry