Liangliang Sun

The paper introduces a visualization framework for top-down proteomics data, called proteoform barcode, which displays proteoform abundance and functional information, enabling disease diagnosis.

This study shows lipid nanoparticles form protein coronas through lipoprotein fusion, not surface adsorption, using cryo-EM and simulations.

This paper shows that extracellular vesicles contaminate nanoparticle protein corona profiles in human plasma, leading to inaccurate protein origin assignments.

This study identifies mitochondrial scaffolds that regulate PIWI protein trafficking and pachytene piRNA biogenesis in mice, revealing a central role for chromatoid body precursors in piRNA complex formation.

The paper creates a high-resolution zebrafish embryonic proteome atlas across 16 time points, revealing dynamic protein expression patterns and discrepancies between transcript and protein levels during early development.

The paper demonstrates that capillary zone electrophoresis-mass spectrometry (CZE-MS) can reproducibly measure peptides, proteoforms, and complexoforms across multiple biological samples.

This study performs a global proteomic analysis of colorectal cancers stratified by microsatellite instability subtype, revealing protein differences associated with Lynch syndrome and other subtypes.

TopDIA is a software tool for proteoform identification using TD-DIA-MS, showing improved identification compared to TD-DDA-MS in E. coli.

This paper demonstrates that adding small molecules to plasma enhances nanoparticle protein corona diversity, significantly increasing the number of detectable proteins in plasma proteome profiling.

This paper presents a pilot study using CE-MS techniques to analyze PTMs and proteoforms of tau protein, identifying more phosphorylation sites and detecting dimers.

This study shows that PNLDC1 is essential for piRNA 3' end trimming, LINE1 silencing, and spermatogenesis in mice, with pachytene piRNA trimming being critical for germ cell development.

This study introduces a top-down proteomics method to precisely identify proteoforms in nanoparticle protein coronas, revealing biomarkers not detectable by bottom-up approaches.

This paper introduces a new native proteomics technique using nCZE-MS to measure proteoforms and protein complexes in complex samples, achieving high sensitivity and resolution.

TopFD is a tool for top-down proteomics that improves proteoform feature detection accuracy and reproducibility compared to existing methods.

The paper evaluates machine learning models for predicting proteoform retention and migration times in top-down mass spectrometry, finding high accuracy with Prosit and a neural network model.