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Biomedical subjects

Zhengyang Zhang

Publications and source records attributed to Zhengyang Zhang.

2 recordsLinked to original sources

Single-cell profiling of mitochondrial phenotyping-coupled mtDNA genotyping.

Simultaneously profiling mitochondrial DNA (mtDNA) heteroplasmy and phenotypic variability at the single-cell level remains a challenge due to the absence of integrated methods that map mitochondrial genotypes alongside their functional states. We introduce human single-cell mitochondrial phenotype-coupled mtDNA sequencing (scMPCDS), a platform that quantifies mtDNA mutations and heteroplasmy together with mitochondrial membrane potential and reactive oxygen species within individual cells. Unlike bulk sequencing or separate single-omics techniques, scMPCDS directly correlates mitochondrial genomic instability with functional outcomes. Using this approach, we demonstrate that DdCBE-mediated mtDNA editing induces cell-specific off-target mutations in the mitochondrial genome, which coincide with diverse phenotypic changes. Applying scMPCDS to HeLa cells and clear cell renal cell carcinoma tissues, we identify single-cell subpopulations exhibiting distinct mtDNA mutation burdens and altered bioenergetic profiles, implicating potential mitochondrial heterogeneity-driven tumor evolution. Overall, scMPCDS serves as a versatile tool to unravel mitochondrial genotype-phenotype relationships at the single-cell level in both normal and disease states, thereby advancing precise mitochondrial diagnostics and therapeutics.

Humans

Advances in organoids for personalized medicine: from technological development to clinical application.

Organoids, three-dimensional cell culture models derived from patient tissues or stem cells, have emerged as a cutting-edge technology in personalized medicine, owing to their remarkable ability to closely recapitulate in vivo tissue architecture and function. This review provides a comprehensive overview of the technological evolution and construction methodologies of organoids, highlighting their significant applications in oncology, genetic disorders, infectious diseases, and drug screening. This review examines how organoids enable precision medicine by preserving genomic fidelity, predicting drug sensitivity, and creating disease models via gene editing. Despite these advances, organoid technology faces several technical challenges that impede its full clinical translation. Addressing these obstacles is critical for realizing the potential of organoids in individualized therapeutic strategies. This article aims to delineate current progress and future directions in organoid research, furnishing a theoretical foundation and guiding future investigations towards enhancing personalized treatment paradigms.

disease modeling