Lingjun Li

This study benchmarks four spectral prediction platforms for neuropeptidomics, finding no single model captures neuropeptide fragmentation well and highlighting the importance of neutral loss fragments and hybrid libraries.

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.

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

The paper uses mass spectrometry to analyze neuropeptide changes in American lobsters under different temperatures, finding tissue-specific peptide abundance shifts linked to thermal adaptation.

This study identifies polyamine-dependent tumor-adipose crosstalk as an early driver of fat wasting in cancer cachexia, linking polyamine metabolism to adipocyte lipolysis and poor patient survival.

The paper introduces cNPDB, a database of crustacean neuropeptides, providing annotated sequences, properties, and structural predictions to support research and cross-species studies.

This study identifies 154 endogenous neuropeptides and 24 glycosylated neuropeptides in the American lobster using HILIC and EThcD mass spectrometry.

EndoGenius identifies and quantifies endogenous peptides from mass spectrometry data using a pipeline for spectral library building and motif extraction.

The paper introduces a novel peptidomics framework, EndoGenius, paired with DIA-NN, to identify neuropeptides in Cancer borealis with a 100-fold increase in detection.

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

The paper identifies three genes highly expressed in the subcommissural organ (SCO) and shows their ablation causes brain developmental defects, with peptide reintroduction rescuing these defects.

The paper identifies extrasynaptic volume transmission as a non-synaptic signaling route in nematodes, showing that neuropeptides in pseudocoelomic fluid modulate reproductive function and behavior.

An open-source cloud engine annotates imaging mass spectrometry data at controlled false discovery rate; publicly shared results reached over 3200 datasets and 6 million metabolite images by January 2019.