EPSPS regulates cell elongation by disrupting the balance of lignin and flavonoid biosynthesis in cotton by Qingdi Yan, Wei Hu, Chenxu Gao, Lan Yang, Jiaxian Yang, Renju Liu, Masum Billah, Yongjun Lin, Ji Liu, Pengfei Miao, Zhaoen Yang, Fuguang Li, Wenqiang Qin

“…Hybridization analysis and fine mapping confirmed that the EPSPS gene is the causal gene for dwarfism, and the phenotype can be inherited in different genotypes. Transcriptome and metabolome analyses showed that genes associated with the phenylpropanoid synthesis pathway are enriched in DHR1 compared with ZM24. …”
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Quantitation of global histone post-translational modifications reveal anti-inflammatory epigenetic mechanisms of liquiritigenin based on the optimized super-SILAC strategy by Ping Liu, Ping Liu, Jun Zhang, Jun Zhang, Jingdan Zhang, Jingdan Zhang, Yucheng Yuan, Yucheng Yuan, Zhiqing Liu, Sixian Chen, Sixian Chen, Kaifeng Chen, Kaifeng Chen, Li Dong, Zhiyuan Cheng, Zhiyuan Cheng, Yinan Zhang, Meiyu Geng, Meiyu Geng, Minjia Tan, Minjia Tan, Minjia Tan, Minjia Tan, Minjia Tan, Wensi Zhao, Dong Xie

“…Collectively, we provide a sensitive and universal strategy for research on the epigenetic mechanisms of natural products as well as facilitate epigenetic understanding of LIQ in inflammatory therapies.…”
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Machine learning-based proteomics profiling of ALS identifies downregulation of RPS29 that maintains protein homeostasis and STMN2 level by Wei Xu, Zhipeng Guo, Yian Guan, Shihui Lv, Xue Gao, Wenchen Luo, Tianlin Cheng, Zhicheng Shao, Bangbao Tao, Tao Wang, Zhixin Qiu

“…Taken together, this study provides a robust framework for ALS proteomics, identifies RPS29 as a quality controller of protein translation, and presents a translational mechanism for STMN2 maintenance in ALS.…”
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Multi-omics analysis reveals the transcription factor AtuMYB306 improves drought tolerance by regulating flavonoid metabolism in Chinese chive (Allium tuberosum Rottler) by Taotao Li, Zhen Wang, Yanyan Chen, Pengqiang Yao, Zhongqiu Zhang, Shenao Cai, Yutao Zhu, Yingying Yu, Chunli Liao, Dongxiao Liu, Xiaofei Yang, Lianzhe Wang, Xuan Ma

“…Gene co-expression regulatory network analysis, conducted by integrating transcriptome and metabolome data, revealed a chive R2R3-MYB transcription factor, AtuMYB306, as a central regulator of flavonoid synthesis. …”
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Antibacterial and antibiofilm activities and mechanisms of Toona sinensis extracts against Bacillus cereus and its application in milk by Yuru Wei, Lei Lei, Honglin Jiang, Qingquan Du, Decheng Liu, Lu Chen, Xiaoshan Shi, Yanxiang Wang, Jingjing Li, Yuanliang Hu, Xian Xia, Junming Tu

“…Moreover, the extracts demonstrated remarkable antibiofilm activity against B. cereus, reducing biofilm biomass to less than 40 % (P < 0.05). Transcriptome analysis revealed its antibacterial and antibiofilm mechanisms. …”
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Lysosome-Associated Membrane Protein Targeting Strategy Improved Immunogenicity of Glycoprotein-Based DNA Vaccine for Marburg Virus by Xiyang Zhang, Yubo Sun, Junqi Zhang, Hengzheng Wei, Jing Wang, Chenchen Hu, Yang Liu, Sirui Cai, Qinghong Yuan, Yueyue Wang, Yuanjie Sun, Shuya Yang, Dongbo Jiang, Kun Yang

“…Our study broadens the strategic vision for enhanced DNA vaccine design and provides a promising candidate vaccine for MHF prevention.…”
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RsWRKY40 coordinates the cold stress response by integrating RsSPS1-mediated sucrose accumulation and the CBF-dependent pathway in radish (Raphanus sativus L.) by Sen Chen, Liang Xu, Yan Wang, Baozhen Mao, Xiaoli Zhang, Qiyu Song, Feng Cui, Yingbo Ma, Junhui Dong, Kai Wang, Hongyu Bi, Liwang Liu

“…These findings would provide novel insight into the molecular mechanism underlying cold-responsive sucrose accumulation and cambium activity and facilitate the genetic improvement of cold tolerance in radish breeding programs.…”
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Cloning, Expression, and Bioinformatics Analysis of the <i>AvFD1</i> Gene in <i>Amomum villosum</i> Lour by Duo Wang, Yating Zhu, Shuang Li, Hongyou Zhao, Chongnan Wang, Qianxia Li, Yanfang Wang, Chunyong Yang, Ge Li, Yanqian Wang, Lixia Zhang

“…To address this limitation, the present study aimed to identify the <i>FD</i> gene involved in regulating flowering in <i>A. villosum</i> to provide a basis for research on the molecular mechanisms of early fruiting cultivars. …”
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Unraveling genetic load dynamics during biological invasion: insights from two invasive insect species by Lombaert, Eric, Blin, Aurélie, Porro, Barbara, Guillemaud, Thomas, Bernal, Julio S., Chang, Gary, Kirichenko, Natalia, Sappington, Thomas W., Toepfer, Stefan, Deleury, Emeline

“…Conversely, in H. axyridis, the reduction in genetic diversity was minimal, and we detected signs of genetic load fixation in invasive populations. These findings provide new insights into the evolution of genetic load during invasions, but do not offer a definitive answer to the purge hypothesis. …”
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Dietary Genistein Could Modulate Hypothalamic Circadian Entrainment, Reduce Body Weight, and Improve Glucose and Lipid Metabolism in Female Mice by Liyuan Zhou, Xinhua Xiao, Qian Zhang, Jia Zheng, Ming Li, Miao Yu, Xiaojing Wang, Mingqun Deng, Xiao Zhai, Rongrong Li, Jieying Liu

“…Hypothalamic tissue was collected for whole transcriptome sequencing and reverse transcription quantitative PCR (RT-qPCR) validation. …”
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Effects of β-catenin deficiency on adipose tissue physiology by Romina M. Uranga, Akira Nishii, Jessica N. Maung, Hiroyuki Mori, Brian Desrosiers, Jannis Jacobs, Keegan S. Hoose, Rebecca L. Schill, Devika P. Bagchi, Hannah Guak, Clair Crewe, Ivo D. Dinov, Erin D. Giles, Carey N. Lumeng, Ormond A. MacDougald

“…Deficiency of β-catenin in adipocytes altered the transcriptome of numerous stromal-vascular cell populations including adipose stem and progenitor cells, macrophages, and other immune cells. …”
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The impact of polyethylene terephthalate microplastics on the pathogenesis of atherosclerosis: Focusing on network toxicology and target gene detection by Lingling Xie, Yan Zhao, Yuqing Pan, Yuxin Shang, Youjin Kong, Yangyang Gu, Tingting Chen, Wei Mao

“…By integrating network toxicology, molecular docking, and transcriptome analysis, tumor necrosis factor (TNF), chemokine receptor 4 (CXCR4), CX3C chemokine receptor 1 (CX3CR1), and protein tyrosine phosphatase receptor type C (PTPRC) were identified as core interaction genes between PET and AS. …”
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The Class III Peroxidase Gene Family in <i>Populus simonii</i>: Genome-Wide Identification, Classification, Gene Expression and Functional Analysis by Lu Han, Yishuang Ren, Xinru Bi, Guowei Yao, Jinwang Zhang, Hongtao Yuan, Xiaoyu Xie, Junbo Chen, Yunchang Zhang, Sitong Du, Wanying Chen, Kewei Cai, Xiyang Zhao

“…Overall, this study provides a comprehensive overview of the <i>PsPOD</i> gene family in <i>P. simonii</i>, laying a solid foundation for future functional studies and offering valuable insights for comparative research in other plant species.…”
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Genome-wide identification and expression analysis of the MORF gene family in celery reveals their potential role in chloroplast development by Pei-Zhuo Liu, Ya-Hui Wang, Yue-Hua Sun, Yong-Ju Wei, Xu Sun, Meng-Yao Li, Guo-Fei Tan, Ai-Sheng Xiong

“…RT-qPCR data showed that the expression levels of the above 4 genes were significantly higher in petioles of green celery than those of white celery. This study provided a basis for analyzing the effects of MORF proteins on chloroplast development of celery with different chlorophyll accumulation.…”
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Association and shared biological bases between birth weight and cortical structure by Lu Zhang, Qiaoyue Ge, Zeyuan Sun, Rui Zhang, Xinxi Li, Xiaoli Luo, Run Tian, Yuheng Cao, Chunyan Pu, Lin Li, Dongsheng Wu, Ping Jiang, Chuan Yu, Chiara Nosarti, Chenghan Xiao, Zhenmi Liu

“…These findings support the importance of early life growth to cortical structure, and suggest underlying transcriptomic, proteomic and cellular bases. These results provide intriguing targets for further research into the mechanisms of cortical development.…”
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Establishment and validation of the prognostic risk model based on the anoikis-related genes in esophageal squamous cell carcinoma by Shasha Cao, Ming Li, Zhiying Cui, Yutong Li, Wei Niu, Weiwei Zhu, Junkuo Li, Lijuan Duan, Shumin Lun, Zhaowei Gao, Yaowen Zhang

“…The prognostic genes expression results by qRT-PCR were compatible with the dataset analysis.Conclusion The study established an ARG prognosis model of ESCC. It provided a reference for the research of ARGs in ESCC.…”
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Synthesis of biosafe spirulina-derived carbon dots and their fluorescence imaging in zebrafish by Yue Wang, Zhizhi Gu, Jingyi Dong, Cunguang Liu, Jie Zhu, Zixu Wang, Jiaying Li, Meichen Lu, Jian Han, Shengnan Cao, Zhuang Xue, Yan Chen, Liyong Chen, Wei Wang

“…In adult zebrafish, distinct fluorescent signals are observed in the eye, nerve, and intestinal tissues. Transcriptome analysis revealed that CDs modulated metabolic pathways and extracellular matrix organization without inducing significant toxicity. …”
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Glucosylceramides containing very long-acyl-chain fatty acid are critical for cotton fiber elongation by influencing brassinosteroid synthesis and signaling by Qiaoling Wang, Xingying Yan, Qi Niu, Hongju Zhang, Huidan Tian, Zheng Chen, Fan Xu, Yu You, Yinghui Gao, Zhiqing Qiao, Ming Luo

“…Our study shed a novel insight on regulatory mechanism of cotton fiber elongation and provides theoretical support, genetic resources and novel transgenic materials for improvement of crop quality.…”
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Adaptable and comprehensive approaches for long-read nanopore sequencing of polyadenylated and non-polyadenylated RNAs by Simon Haile, Richard D. Corbett, Kieran O’Neill, Jing Xu, Duane E. Smailus, Pawan K. Pandoh, Anthony Bayega, Miruna Bala, Eric Chuah, Robin J. N. Coope, Richard A. Moore, Karen L. Mungall, Yongjun Zhao, Yussanne Ma, Marco A. Marra, Marco A. Marra, Steven J. M. Jones, Steven J. M. Jones, Andrew J. Mungall

“…The advent of long-read (LR) sequencing technologies has provided a direct opportunity to determine the structure of transcripts with potential for end-to-end sequencing of full-length RNAs. …”
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Synthetic data generation in genomic cancer medicine: a review of global research trends in the last ten years by Valentina De Nicoló, Maria Frasca, Agnese Graziosi, Gianluca Gazzaniga, Davide La Torre, Arianna Pani

“…The use of artificial intelligence, particularly machine learning and deep learning techniques has transformed this area, providing solutions to overcome the limited availability of real clinical data. …”
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