Biomedical subjects

Xinyue Liu

Publications and source records attributed to Xinyue Liu.

3 recordsLinked to original sources

PubMed2026

Decoding SUMOylation as a metabolic stress sensor in aging and age-related disorders: Mechanisms, tissue specificity and therapeutic potential.

SUMOylation is a reversible post-translational modification increasingly recognized for its role in coordinating cellular responses to metabolic stress during aging. Emerging evidence indicates that it functions beyond a conventional modification, representing an adaptive stress‑responsive regulatory network that integrates metabolic, oxidative, inflammatory, and proteotoxic signals. Rather than acting on isolated pathways, this network finely tunes mitochondrial function, proteostasis, genome maintenance, immune balance, and epigenetic regulation. Accumulating evidence indicates that SUMO-dependent regulation exhibits remarkable tissue specificity, supporting mitochondrial adaptation and contractile integrity in skeletal muscle, shaping lipid and glucose metabolism in the liver, modulating proteotoxic stress and neuronal resilience in the brain, and contributing to immune cell differentiation and chronic low-grade inflammation during aging. In this review, we summarize current mechanistic insights into SUMO signaling across aging-relevant tissues, with particular emphasis on its functional interplay with other post-translational modifications, including ubiquitination and acetylation. We discuss how SUMOylation operates as a shared regulatory layer while enabling context-dependent outcomes that underlie diverse aging phenotypes and age-related disorders. Finally, we evaluate emerging translational approaches-ranging from pharmacological modulation of SUMO enzymes to lifestyle interventions such as caloric restriction and exercise-that highlight both the opportunities and challenges of targeting SUMO-regulated stress responses in aging. Together, this synthesis provides a framework for understanding how SUMOylation links metabolic stress to tissue-specific aging trajectories and therapeutic potential.

Aging↗

PubMed2026

hnRNPC facilitates coronavirus replication by directly binding the frameshift-stimulatory element of viral genomic RNA.

Translation of key viral replicative proteins in coronaviruses requires a programmed -1 ribosomal frameshifting (-1 PRF) event controlled by the viral frameshift-stimulatory element (FSE). Although previous studies have analyzed host factor dependencies of coronaviruses, how host cellular factors alter -1 PRF efficiency and affect viral replication remains poorly understood. Here, using RNA pull-down combined with LC-MS/MS analysis, we identified heterogeneous nuclear ribonucleoprotein C (hnRNPC) as a major interacting protein of FSE RNA. Coronavirus infection triggers hnRNPC mRNA decay, alters hnRNPC protein levels, and induces its cytoplasmic relocalization, where it appears to bind directly to FSE RNA through residues Asn7 and Asn83. This binding is associated with increased -1 PRF efficiency and may facilitate coronavirus replication. Deletion mapping analysis shows that hnRNPC preferentially binds U-rich regions of the FSE RNA. Finally, we demonstrated that the small molecule Elbasvir directly binds hnRNPC, disrupting the interaction between hnRNPC and FSE RNA and inhibiting coronavirus replication by decreasing -1 PRF efficiency. Collectively, our study identifies hnRNPC as a key host cofactor for coronaviruses and provides a novel target for broad-spectrum antiviral drug development.

RNA, Viral↗

PubMed2024

Specificity profiling of deubiquitylases against endogenously generated ubiquitin-protein conjugates.

Deubiquitylating enzymes (DUBs) remove ubiquitin from proteins thereby regulating their stability or activity. Our understanding of DUB-substrate specificity is limited because DUBs are typically not compared to each other against many physiological substrates. By broadly inhibiting DUBs in Xenopus egg extract, we generated hundreds of ubiquitylated proteins and compared the ability of 30 DUBs to deubiquitylate them using quantitative proteomics. We identified five high-impact DUBs (USP7, USP9X, USP36, USP15, and USP24) that each reduced ubiquitylation of over 10% of the isolated proteins. Candidate substrates of high-impact DUBs showed substantial overlap and were enriched for disordered regions, suggesting this feature may promote substrate recognition. Other DUBs showed lower impact and non-overlapping specificity, targeting distinct non-disordered proteins including complexes such as the ribosome or the proteasome. Altogether our study identifies candidate DUB substrates and defines patterns of functional redundancy and specificity, revealing substrate characteristics that may influence DUB-substrate recognition.

Substrate Specificity↗