Y. Ji

SugarQuant provides a pipeline for site-specific N-glycoproteomics, enabling confident quantification of glycoforms in complex samples.

BR-activated BZR1 suppresses ACO1 activity and expression of ACO1 and ACS1a, reducing ethylene production during pear and apple fruit ripening.

The paper quantifies vertebrate biodiversity in Ailaoshan reserve using leech iDNA, showing species richness increases with elevation and distance from the reserve edge.

This study integrates radiomic and genomic data from HNSCC patients to find associations between imaging features and genomic biomarkers, achieving moderate predictive accuracy for HPV and TP53 mutation status.

SPIKEPIPE accurately quantifies eukaryotic species abundances using DNA barcodes or mitogenomes with high accuracy and repeatability across environmental samples.

This paper identifies the role of TYLCV V2 protein in facilitating the nuclear export of V1 protein and viral systemic infection through host exportin and V1-V2 interaction.

The paper identifies intron retention as a hallmark of aggressive prostate cancer and highlights the spliceosome as a therapeutic target by analyzing splicing dysregulation across prostate cancer progression.

The paper uses single-cell RNA sequencing to identify TBX3 as a key regulator of trophoblast differentiation during human peri-implantation development.

This study introduces SLHC-seq, a new targeted sequencing method that improves detection of pancreatic cancer by analyzing short mutant cfDNA fragments, enabling earlier diagnosis.

The paper uses high-throughput pyrosequencing to analyze salivary microbiota in individuals with and without H. pylori infection, finding that infection and eradication both alter oral microbiota structure, but H. pylori presence in saliva is not linked to gastric infection status.

This paper develops a platform to multiplex profile single-cell EV secretion, revealing heterogeneity in EV phenotypes and secretion patterns in OSCC cells.

This study uses whole-genome sequencing of cancer samples to reconstruct the evolutionary history of 39 cancer types, identifying early and late-stage mutational patterns and driver genes.