Xiangxing Zhu

Dr. Xiangxing Zhu


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 August 2018 in Scientific Reports
Verified
Journal Article
Open access
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XZXiangxing Zhu
Xiangxing Zhu
YZYi-Zhi Zhong
Yi-Zhi Zhong
YGYao-Wen Ge
Yao-Wen Ge
KLKe-Huan Lu
Ke-Huan Lu
SLSheng-Sheng Lu
Sheng-Sheng Lu
Parkinson’s disease (PD) is a common, progressive neurodegenerative disorder characterized by classical motor dysfunction and is associated with α-synuclein-immunopositive pathology and the loss of dopaminergic neurons in the substantia nigra (SN). Several missense mutations in the α-synuclein gene SCNA have been identified as cause of inherited PD, providing a practical strategy to generate genetically modified animal models for PD research. Since minipigs share many physiological and anatomical similarities to humans, we proposed that genetically modified minipigs carrying PD-causing mutations can serve as an ideal model for PD research. In the present study, we attempted to model PD by generating Guangxi Bama minipigs with three PD-causing missense mutations (E46K, H50Q and G51D) in SCNA using CRISPR/Cas9-mediated gene editing combining with somatic cell nuclear transfer (SCNT) technique. We successfully generated a total of eight SCNT-derived Guangxi Bama minipigs with the desired heterozygous SCNA mutations integrated into genome, and we also confirmed by DNA sequencing that these minipigs expressed mutant α-synuclein at the transcription level. However, immunohistochemical analysis was not able to detect PD-specific pathological changes such as α-synuclein-immunopositive pathology and loss of SN dopaminergic neurons in the gene-edited minipigs at 3 months of age. In summary, we successfully generated Guangxi Bama minipigs harboring three PD-casusing mutations (E46K, H50Q and G51D) in SCNA. As they continue to develop, these gene editing minipigs need to be regularly teseted for the presence of PD-like pathological features in order to validate the use of this large-animal model in PD research.

22 June 2019 in Reproduction in Domestic Animals
Verified
Journal Article
Closed access
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XWXuefang Wang
Xuefang Wang
XZXiangxing Zhu
Xiangxing Zhu
XLXingwei Liang
Xingwei Liang
HXHuiyan Xu
Huiyan Xu
YLYuying Liao
Yuying Liao
ZPZhixin Pan
Zhixin Pan

17 July 2020 in Reproduction in Domestic Animals
Verified
Journal Article
Closed access
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XZXiangxing Zhu
Xiangxing Zhu
QZQun‐Mei Zhan
Qun‐Mei Zhan
YWYan‐Yan Wei
Yan‐Yan Wei
AYAi‐Fen Yan
Ai‐Fen Yan
JFJuan Feng
Juan Feng
DTDong-sheng Tang
Dong-sheng Tang

6 June 2025 in Communications Biology
Verified
Journal Article
Open access
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WDWeian Du
Weian Du
LZLiang Zhao
Liang Zhao
KDKaichuan Diao
Kaichuan Diao
YZYangyang Zheng
Yangyang Zheng
QYQianyong Yang
Qianyong Yang
DTDong-sheng Tang
Dong-sheng Tang
Genome editing with the CRISPR/Cas9 system has revolutionized life and medical sciences, particularly in treating monogenic genetic diseases by enabling long-term therapeutic effects from a single intervention. However, the CRISPR/Cas9 system can tolerate mismatches and DNA/RNA bulges at target sites, leading to unintended off-target effects that pose challenges for gene-editing therapy development. Existing high-throughput detection and in silico prediction methods are often limited to specifically designed single guide RNAs (sgRNAs) and perform poorly on unseen sequences. To address these limitations, we introduce CCLMoff, a deep learning framework for off-target prediction that incorporates a pretrained RNA language model from RNAcentral. CCLMoff captures mutual sequence information between sgRNAs and target sites and is trained on a comprehensive, updated dataset. This approach enables accurate off-target identification and strong generalization across diverse NGS-based detection datasets. Model interpretation reveals the biological importance of the seed region, underscoring CCLMoff’s analytical capabilities. The development of CCLMoff lays the foundation for a comprehensive, end-to-end sgRNA design platform, enhancing both the precision and efficiency of CRISPR/Cas9-based therapeutics. CCLMoff is a versatile tool and is publicly available at github.com/duwa2/CCLMoff.

6 August 2025 in Molecules and Cells
Verified
Journal Article
Open access
YJYawen Jiang
Yawen Jiang
LZLigang Zhang
Ligang Zhang
YLYuandong Lin
Yuandong Lin
XZXiangxing Zhu
Xiangxing Zhu
TWTao Wang
Tao Wang
DTDong-sheng Tang
Dong-sheng Tang
Ferroptosis is an iron-dependent and regulated form of cell death, characterized by lipid peroxidation and oxidative stress. The progressive development of pulmonary fibrosis (PF) is closely linked to the ferroptosis pathway. Although the underlying mechanisms remain incompletely defined, this field has drawn intense research attention. Notable progress has been made in identifying ferroptosis-related metabolic pathways and key targets during PF development. In this review, we first summarize the basic regulation of iron metabolism in the human lung, iron metabolic imbalance, and the activation of ferroptosis. Second, we focus on elaborating the mechanistic connections between ferroptosis and PF, encompassing the clinical features, pathological manifestations, and core pathogenic mechanisms of PF, as well as the interplay between ferroptosis and 3 specific cell types in PF: alveolar epithelial cells, macrophages, and fibroblasts. Third, the research progress in the pharmacotherapy of PF is categorized into 3 categories: drugs already approved for PF and those under clinical trials; ferroptosis-targeted therapeutic strategies, including inhibitors, natural compounds, gene therapy, and combination strategies. This review, grounded in key metabolic pathways and therapeutic targets, systematically explores the complex relationships among iron metabolic disorders, ferroptosis, and PF progression. Our aim is to provide a theoretical and practical foundation for ferroptosis-targeted PF treatment.

17 March 2020 in Animals
Verified
Journal Article
Open access
PDF file
XZXiangxing Zhu
Xiangxing Zhu
YWYanyan Wei
Yanyan Wei
QZQunmei Zhan
Qunmei Zhan
AYAifen Yan
Aifen Yan
JFJuan Feng
Juan Feng
DTDong-sheng Tang
Dong-sheng Tang
Bama minipigs are a local pig breed that is unique to China and has a high development and utilization value. However, its high fat content, low feed utilization rate, and slow growth rate have limited its popularity and utilization. Compared with the long breeding cycle and high cost of traditional genetic breeding of pigs, clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated (Cas) endonuclease 9 system (CRISPR/Cas9)-mediated gene editing can cost-effectively implement targeted mutations in animal genomes, thereby providing a powerful tool for rapid improvement of the economic traits of Bama minipigs. The iroquois homeobox 3 (IRX3) gene has been implicated in human obesity. Mouse experiments have shown that knocking out IRX3 significantly enhances basal metabolism, reduces fat content, and controls body mass and composition. This study aimed to knock out IRX3 using the CRISPR/Cas9 gene editing method to breed Bama minipigs with significantly reduced fat content. First, the CRISPR/Cas9 gene editing method was used to efficiently obtain IRX3-/- cells. Then, the gene-edited cells were used as donor cells to produce surviving IRX3-/- Bama minipigs using somatic cell cloning. The results show that the use of IRX3-/- cells as donor cells for the production of somatic cell-cloned pigs results in a significant decrease in the average live litter size and a significant increase in the average number of stillbirths. Moreover, the birth weight of surviving IRX3-/- somatic cell-cloned pigs is significantly lower, and viability is poor such that all piglets die shortly after birth. Therefore, the preliminary results of this study suggest that IRX3 may have important biological functions in pigs, and IRX3 should not be used as a gene editing target to reduce fat content in Bama minipigs. Moreover, this study shows that knocking out IRX3 does not favor the survival of pigs, and whether targeted regulation of IRX3 in the treatment of human obesity will also induce severe adverse consequences requires further investigation.