Biomedical subjects

Yingwei Hu

Publications and source records attributed to Yingwei Hu.

4 recordsLinked to original sources

PubMed2026

Proteogenomic analysis of pediatric and AYA high-grade glioma reveals age-dependent biology, female-male differences, and kinase targets.

High-grade gliomas (HGGs) in children and adolescents and young adults (AYA) exhibit distinct biology across the neurodevelopmental spectrum. To dissect tumor-intrinsic molecular characteristics independent of developmental variation, we perform comprehensive proteogenomic analyses of tumors from 112 HGG patients aged 0-40 years. Our multi-omics analysis identifies two AYA subgroups-adolescents (aged 15-26 years) and young adults (aged 26-40 years)-with distinct molecular profiles and survival outcomes. Tumor-normal comparisons and survival modeling highlight roles of oxidative phosphorylation and neuronal system biology in glioma progression. Causal network analysis and cell line studies provide a rationale for personalized therapies targeting candidate kinases, such as CDK8. Survival modeling, clustering, and immune-landscape analyses identify proteins, post-translational modifications, and immune signatures linked to outcomes and reveal clinically relevant differences between male and female patients.

adolescent and young adult glioma↗

PubMed2026

Proteomic Identification of Pig Xenoantigens for Clinical Xenotransplantation.

Xenotransplantation using genetically engineered pig organs offers a promising solution to the shortage of donor organs for life-saving transplantations. However, human-preformed antibodies against unknown pig xenoantigens remain a significant barrier to successful xenotransplantation. Current methods for characterizing these antibodies or xenoantigens are limited to cellular-level cross-match assays. In this study, we developed a novel approach to identify pig xenoantigens, including peptide and glycopeptide epitopes, that react with human-preformed antibodies. First, human-preformed antibodies against xenoantigens were enriched from plasma using immobilized pig kidney proteins. The enriched antibodies were then immobilized and used to isolate pig kidney proteins, peptides, and intact glycopeptides, followed by liquid chromatography-tandem mass spectrometry analysis. This dual-level approach identified 221 peptides corresponding to 153 proteins, with a significant enrichment of plasma membrane and extracellular proteins. Notably, 11 peptides were unique to pig sequences, suggesting their potential role in driving xenogeneic immune responses. Glycoproteomic analysis identified 122 intact glycopeptides, predominantly complex/hybrid glycoforms, and Neu5Gc-containing glycans. Our method effectively identifies peptides and intact glycopeptides reactive to human-preformed antibodies, providing critical insights for discovering xenoantigens. These findings could guide genetic engineering strategies and enhance recipient candidate screening for xenotransplantation, ultimately increasing the feasibility and success of xenogeneic organ transplantation.

Animals↗

PubMed2025

ProteoformDB: A Built-In Application to Generate Proteoform Database.

Proteins play essential functions through their complex regulations on cell-type-specific expression, localization, and molecular complexes. Protein complexity is further enhanced by proteoforms, which are the diverse molecular forms that each gene can produce through genomic alterations, transcriptional variations, translational regulations, and protein modifications. Profiling of proteoforms is a promising method for gaining a deeper understanding of the role of proteins in biological pathways and disease mechanisms. Here, we developed ProteoformDB, an application tool for generating proteoform databases, and we cataloged a total of over one million unique single-site human proteoforms. We showed that ProteoformDB can serve as a valuable resource to document the experimentally identified proteoforms in a database, supporting protein characterization in quantitative proteomics for both total protein abundances and modified protein forms.

Humans↗

PubMed2002

Gene expression of osteoprotegerin and osteoclast differentiation factor in giant cell tumor.

OBJECTIVE: To investigate the gene expression of osteoprotegerin (OPG) and osteoclast differentiation factor (ODF/TRANCE/RANKL), two new members of the TNF-receptor superfamily, in giant cell tumor (GCT); to discuss the molecular mechanism of extensive bone resorption caused by GCT. METHODS: Using TRIzol reagent to prepare total RNA from GCT sample and normal bone tissue. By a first-strand complementary DNA (cDNA) synthesis kit, cDNA was synthesized from 2.0 micro g RNA according to the manufacturer's instructions. cDNA was then amplified by PCR. Amplification products were resolved by electrophoresis on a 1.5% agarose gel and stained with EB. The relative quantity of the PCR products were determined and the mRNA levels of OPG, ODF, M-CSF (cofactor of ODF), and RANK (receptor of ODF) were compared with that of the normal bone. RESULTS: GCT contained highly expressed mRNA of ODF, OPG, M-CSF and RANK. There was mRNA expression of OPG, M-CSF and RANK and less expression of ODF in normal bone. The ODF mRNA and RANK mRNA in GCT were more abundant than that in normal bone. In GCT, the ratio of ODF mRNA exceeded OPG expression. But in normal bone, the OPG mRNA exceeded ODF expression. CONCLUSIONS: The results suggest that GCT contains all signals including OPG, ODF, M-CSF and RANK that are essential for inducing osteoclastogenesis and promoting bone resorption.

Carrier Proteins↗