Author

Haiyan Lu

University of Wisconsin–MadisonORCID 0000-0002-1277-4148Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Molecular Biology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 3 Approach:experimental assay· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Organism:human· 1 Assay:metabolomics· 1 Organism:mouse· 1

Frequent Co-Authors

Lingjun LiiD· 3 shared Angel E. IbarraiD· 2 shared Kendra G. SelbyiD· 2 shared Lauren G. FieldsiD· 2 shared Tong GaoiD· 2 shared Amy HuiD· 1 shared Hua ZhangiD· 1 shared Jiangrong Qin· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersNeuroscience

Lingjun LiORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

12-plex DiLeu enables robust quantification of the feeding neuropeptidome

Lauren G. Fields, Peng-Kai Liu, Vu Ngoc Huong Tran, Thao Duong, Angel E. Ibarra, Paul Corsetti, Tong Gao, Kendra G. Selby, Zicong Wang, Yajing Lu, Haiyan Lu, Lingjun Li

This paper uses 12-plex DiLeu labeling to quantitatively analyze the feeding neuropeptidome across multiple tissues and timepoints in Cancer borealis, revealing distinct regulatory patterns and functional specificity of peptide variants.

bioRxiv · Aug 11, 2026 · PreprintNeuroscience

Bridging genomes and peptidomes: hybrid sequencing reveals conserved bioactive peptides in crustaceans

Lauren G. Fields, Jiangrong Qin, Angel E. Ibarra, Kendra G. Selby, Tong Gao, Tina C. Dang, Haiyan Lu, Lingjun Li

The paper develops a hybrid sequencing platform to identify endogenous peptides in crustaceans, revealing novel peptides and conserved homologies across species.

bioRxiv · May 7, 2026 · PreprintBioinformatics

TEMI: Tissue Expansion Mass Spectrometry Imaging

Hua Zhang, Lang Ding, Amy Hu, Xudong Shi, Penghsuan Huang, Haiyan Lu, Paul W. Tillberg, Meng Carla Wang, Lingjun Li

TEMI maps biomolecule distributions in tissues at single-cell resolution, revealing metabolic heterogeneity in tumors.

Nature Methods · Apr 22, 2025Peer-reviewedMolecular Biology