Biology subjects

Chen, Y.-G.

Publications and source records attributed to Chen, Y.-G..

4 recordsLinked to original sources

bioRxiv2025

Cloche/Npas4l is a pro-regenerative platelet factor during zebrafish heart regeneration

Zebrafish has full capacity of heart regeneration, but little is known about how blood cells, especially platelets, are involved in this regenerative process. Here we report that cloche/npas4l is a pro-regenerative platelet factor for heart regeneration. We found that haploinsufficiency of npas4l disrupted cardiomyocyte (CM) and endothelial cell (EC) proliferation and heart regeneration after injury. A single-cell transcriptomic atlas revealed that npas4l was dynamically expressed in platelets after heart injury and regulated robust interactions between platelets-CMs or -ECs. Decreasing platelets by either nitroreductase-mediated platelet depletion or platelet-deficient mutant mpl impaired CM and EC proliferation, and over-expression of npas4l in platelets sufficiently induced CM and EC proliferation in uninjured hearts, as well as rescued CM and EC proliferation defects in cloche mutants. Mechanistically, Npas4l positively regulated a panel of ligands expression including bmp6 in platelets to fine-tune CM proliferation and heart regeneration. Therefore, this work unveils a novel platelet Npas4l signaling and presents mechanisms on how platelets modulate CM/EC proliferation via ligand-receptor network during zebrafish heart regeneration.

cell biology↗

bioRxiv2024

DriverOmicsNet: An Integrated Graph Convolutional Network for Multi-Omics Exploration of Cancer Driver Genes

BackgroundCancer is a complex and heterogeneous group of diseases driven by genetic mutations and molecular changes. Identifying and characterizing cancer driver genes (CDgs) is crucial for understanding cancer biology and guiding precision oncology. Integrating multi-omics data can reveal the intricate molecular interactions underlying cancer progression and treatment responses. MethodsWe developed a graph convolutional network (GCN) framework, DriverOmicsNet, that integrates multi-omics data using STRING protein-protein interaction (PPI) networks and correlation-based weighted correlation network analysis (WGCNA). We applied this framework to 15 cancer types, analyzing 5555 tumor samples to predict cancer-related features such as homologous recombination deficiency (HRD), cancer stemness, immune clusters, tumor stage, and survival outcomes. FindingsDriverOmicsNet demonstrated superior predictive accuracy and model performance metrics across all target labels when compared with GCN models based on STRING network alone. Gene expression emerged as the most significant feature, reflecting the dynamic and functional state of cancer cells. The combined use of STRING PPI and WGCNA networks enhanced the identification of key driver genes and their interactions. InterpretationOur study highlights the effectiveness of using GCNs to integrate multi-omics data for precision oncology. The integration of STRING PPI and WGCNA networks provides a comprehensive framework that improves predictive power and facilitates the understanding of cancer biology, paving the way for more tailored treatments.

cancer biology↗

bioRxiv2022

Deletion of CD226 in Foxp3+ T cells Reduces Diabetes Incidence in Non-Obese Diabetic Mice by Improving Regulatory T Cell Stability and Function

Co-stimulation serves as a critical checkpoint for T cell development and activation, and several genetic variants affecting co-stimulatory pathways confer risk for autoimmune diseases. A single nucleotide polymorphism in CD226 (rs763361; G307S) has been shown to increase susceptibility to type 1 diabetes, multiple sclerosis, and rheumatoid arthritis. CD226 competes with the co-inhibitory receptor TIGIT (T cell immunoreceptor with Ig and ITIM domains) to bind CD155 to amplify TCR signaling. We previously found that Cd226 knockout protected non-obese diabetic (NOD) mice from disease, but the impact of CD226 signaling on individual immune subsets remained unclear. We focused on regulatory T cells (Tregs) as a population of interest, as prior reports demonstrated that human CD226+ Tregs exhibit reduced FOXP3+Helios+ purity and suppressive function following expansion. Hence, we hypothesized that global deletion of Cd226 would increase Treg stability and accordingly, Treg-specific Cd226 deletion would inhibit diabetes in NOD mice. Indeed, crossing the NOD.Cd226-/- and NOD.Foxp3-GFP-Cre.R26-loxP-STOP-loxP-YFP Treg-fate tracking strains resulted in increased Treg induction and decreased FoxP3-deficient "ex-Tregs" in the pancreatic lymph nodes. We generated a Treg-conditional knockout (Treg{Delta}Cd226) strain and found that female Treg{Delta}Cd226 mice had decreased insulitis and diabetes incidence compared to TregWT mice. Additionally, we observed increased TIGIT expression on Tregs and conventional CD4+ T cells within the pancreas of Treg{Delta}Cd226 versus TregWT mice. These findings demonstrate that an imbalance of CD226/TIGIT signaling may contribute to Treg destabilization in the NOD mouse and highlight the potential for therapeutic targeting of this pathway to prevent or reverse autoimmunity.

immunology↗

bioRxiv2018

A hypermorphic Nfkbid allele represents an Idd7 locus gene contributing to impaired thymic deletion of autoreactive diabetogenic CD8+ T-cells in NOD mice.

In both NOD mice and humans, the development of type 1 diabetes (T1D) is dependent in part on autoreactive CD8+ T-cells recognizing pancreatic {beta}-cell peptides presented by often quite common MHC class I variants. Studies in NOD mice previously revealed the common H2-Kd and/or H2-Db class I molecules expressed by this strain acquire an aberrant ability to mediate pathogenic CD8+ T-cell responses through interactions with T1D susceptibility (Idd) genes outside the MHC. A gene(s) mapping to the Idd7 locus on proximal Chromosome 7 was previously shown to be an important contributor to the failure of the common class I molecules expressed by NOD mice to mediate the normal thymic negative selection of diabetogenic CD8+ T-cells. Using an inducible model of thymic negative selection and mRNA transcript analyses we initially identified an elevated Nfkbid expression variant is likely an NOD Idd7 region gene contributing to impaired thymic deletion of diabetogenic CD8+ T-cells. CRISPR/Cas9-mediated genetic attenuation of Nfkbid expression in NOD mice resulted in improved negative selection of autoreactive diabetogenic AI4 and NY8.3 CD8+ T-cells. These results indicated allelic variants of Nfkbid represent an Idd7 gene contributing to the efficiency of intrathymic deletion of diabetogenic CD8+ T-cells. However, while enhancing thymic deletion of pathogenic CD8+ T-cells, ablation of Nfkbid expression surprisingly accelerated T1D onset in NOD mice likely at least in part by numerically decreasing regulatory T- and B-lymphocytes (Tregs/Bregs), thereby reducing their peripheral immunosuppressive effects.

immunology↗