Biomedical subjects

Xiao Huang

Publications and source records attributed to Xiao Huang.

5 recordsLinked to original sources

PubMed2026

Complete Genome Sequence of Atractylodes virus A, a Novel Carlavirus Infecting Atractylodes lancea.

Atractylodes lancea is an important medicinal crop, but viral diseases have become increasingly severe in recent years. Viruses in the genus Carlavirus are common plant pathogens that are primarily transmitted by aphids and can cause stunted growth and reduced yields in their host plants. In this study, a novel carlavirus, tentatively named Atractylodes virus A (AVA), was identified from A. lancea plants exhibiting virus-like symptoms. The full-length genome of AVA is 8,817 nt in length and contains six open reading frames, displaying the typical genomic organization of the genus Carlavirus. The replicase and CP exhibit 53.43% and 56.72% amino acid identity, respectively, with those of previously characterized carlaviruses, indicating that AVA represents a novel species in the genus Carlavirus. This study expands our understanding of viral diversity in A. lancea and provides a scientific foundation for the prevention and control of viral diseases as well as for resistance breeding.

Genome, Viral↗

PubMed2026

Transcription regulation of cell fate plasticity - from embryonic development to tissue regeneration.

Cell fate plasticity refers to the capacity of cells sharing the same genome to alter, reverse, or reconfigure their identity under physiological, pathological, or experimental conditions. This property underlies embryonic development, cellular reprogramming, and tissue regeneration, but becomes progressively restricted as lineage identity is stabilized. Embryonic development represents an intrinsic process of fate transitions, whereas reprogramming and regeneration reveal how differentiated cells can dedifferentiate or transdifferentiate under specific conditions. Across these contexts, plasticity is governed by multilayered regulatory networks involving transcription factors, epigenetic regulators, cofactors, and the core transcription machinery. Robust regulatory programs stabilize cell identity, whereas stochastic fluctuations in gene expression and chromatin state can prime cells for fate transitions, adding a tunable dimension to plasticity control. In this review, we synthesize recent advances in the regulation of cell fate plasticity across development, reprogramming, and regeneration, highlighting how transcription factors, epigenetic modifications, transcriptional cofactors, and core transcription machinery cooperate to control cell fate decisions and plasticity.

Animals↗

PubMed2026

Metadomain and metaloop genome interactions in mammalian T cells.

Recent studies have advanced understanding of chromosomal organization and its role in gene regulation, yet most analyses focus on short-range interactions (<2 Mb), limiting insight into broader architecture. The relationships between topologically associating domains (TADs), sub-TAD loops, cross-TAD interactions, and chromosomal compartmentalization remain poorly understood. Here, using high-resolution Hi-C analysis, we identify extensive multi-megabase and interchromosomal interactions (metaloops) in T lymphocytes that organize into meta-TAD associations (metadomains). These metaloops connect distal promoters and regulatory elements of genes functionally important in T cells, including Ctla4, Ikzf2, Il2ra, Ets1, and Foxo1. Reanalysis of mouse and human datasets confirms their reproducibility and dependence on superenhancers. Genome-wide clustering reveals three distinct interchromosomal hubs, including a superenhancer-enriched hub linked to T cell-specific gene activation. Integrative analysis of regulatory genomics data identifies factors associated with short- versus long-range interactions. This study introduces a broadly applicable computational framework and reveals features of T cell genome organization.

Animals↗

PubMed2025

A Genomic Alteration in GATA3 Affects Treatment Responses With a CDK4/6 Inhibitor Collaborating With p18INK4C Expression in Advanced Breast Carcinoma.

Cyclin-dependent kinase 4 and 6 inhibitor (CDK4/6i) with endocrine therapy benefits patients with hormone receptor-positive, human epidermal growth receptor 2-negative breast carcinomas. However, most tumors develop resistance to CDK4/6i during the course of therapy. Although preclinical studies have proposed molecular mechanisms for the resistance, predictive markers are yet to be discovered. We investigated the tumor molecular profiling in 42 patients with advanced-stage breast carcinoma who received CDK4/6i therapy. The tumors carrying a GATA-binding protein 3 (GATA3) gene mutation, mainly a frameshift variant, showed a better treatment response compared with other tumors. Furthermore, we explored the potential underlying mechanism of this association. To that end, nuclear expression of p18, one of the INK family proteins, was found to be positively associated with the GATA3 mutation, as well as a CDK4/6i treatment response. Therefore, our study suggests that a GATA3 gene mutation, collaborating with p18 protein expression in tumor nuclei, may have a predictive value for CDK4/6i therapy in breast carcinoma.

Humans↗

PubMed2025

Genome-wide profiling the integration patterns with T7-PCR.

Integration of exogenous gene fragments into the host genomes is a widely used and powerful method for studying gene functions, advancing molecular breeding, and conducting gene therapy. Accurately identifying the integration sites is essential for ensuring both the safety and efficacy of genome engineering efforts. However, current mapping techniques are constrained by high costs and a low signal-to-noise ratio. In this study, we developed an innovative tool for mapping integration sites, leveraging T7 polymerase-mediated in vitro transcription (T7-IVT) to capture the junction fragments surrounding integration loci. This approach converts genomic flanking sequences into RNA, enabling the simultaneous enrichment of junction fragments and the elimination of background genomic DNA, thereby significantly enhancing the signal-to-noise ratio. We have validated the efficiency of this method, named T7-PCR, across yeast, plant, and human cells under diverse integration scenarios. T7-PCR outperforms current next-generation sequencing (NGS)-based mapping strategies in terms of efficiency and accuracy, with minimal positional effects. This method is highly applicable for high-throughput transgene screening and also supports the development of next-generation tools for targeted integration of large fragments.

Humans↗