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Yuhong Zhang

Publications and source records attributed to Yuhong Zhang.

2 recordsLinked to original sources

A FERONIA-MPK3/6-WRKY3/4 module links auxin signaling to lateral root development in Arabidopsis.

The phytohormone auxin orchestrates root development through intricate signaling networks. In the non-canonical auxin pathway, both the transmembrane kinase (TMK)-mediated signaling and the mitogen-activated protein kinase (MAPK) cascade are shown to be involved in the auxin-regulated lateral root (LR) formation. However, the role and mechanism of the receptor-like kinase FERONIA (FER) in this process remain unclear. Here, quantitative proteomic and phosphoproteomic analyses of Arabidopsis roots identify FER, MPK3/6, and WRKY3/4 as auxin-responsive components. Further analyses reveal that FER functions as a negative regulator of LR development by modulating cell division patterns within LR primordia. FER interacts with and phosphorylates MPK3/6, which then phosphorylate the transcription factors WRKY3 and WRKY4 to form a repressive module that ultimately suppresses LR organogenesis. Collectively, our findings define a FER-MPK3/6-WRKY3/4 signaling module that negatively regulates LR formation, demonstrating a previously unknown integration of FER-mediated signaling into the MAPK cascade in auxin-triggered organogenesis.

Arabidopsis

Advances in tumor subclone formation and mechanisms of growth and invasion.

Tumor subclones refer to distinct cell populations within the same tumor that possess different genetic characteristics. They play a crucial role in understanding tumor heterogeneity, evolution, and therapeutic resistance. The formation of tumor subclones is driven by several key mechanisms, including the inherent genetic instability of tumor cells, which facilitates the accumulation of novel mutations; selective pressures from the tumor microenvironment and therapeutic interventions, which promote the expansion of certain subclones; and epigenetic modifications, such as DNA methylation and histone modifications, which alter gene expression patterns. Major methodologies for studying tumor subclones include single-cell sequencing, liquid biopsy, and spatial transcriptomics, which provide insights into clonal architecture and dynamic evolution. Beyond their direct involvement in tumor growth and invasion, subclones significantly contribute to tumor heterogeneity, immune evasion, and treatment resistance. Thus, an in-depth investigation of tumor subclones not only aids in guiding personalized precision therapy, overcoming drug resistance, and identifying novel therapeutic targets, but also enhances our ability to predict recurrence and metastasis risks while elucidating the mechanisms underlying tumor heterogeneity. The integration of artificial intelligence, big data analytics, and multi-omics technologies is expected to further advance research in tumor subclones, paving the way for novel strategies in cancer diagnosis and treatment. This review aims to provide a comprehensive overview of tumor subclone formation mechanisms, evolutionary models, analytical methods, and clinical implications, offering insights into precision oncology and future translational research.

Humans