Showing 81 - 100 results of 3,180 for search 'different transcriptome', query time: 0.12s Refine Results
  1. 81

    Integrated metabolomics and transcriptomics analysis provides insights into biosynthesis and accumulation of flavonoids and glucosinolates in different radish varieties by Da Cai, Yanjie Dong, Lei Wang, Shancang Zhao

    Published 2025-01-01
    “…Herein, we comprehensively analyzed the secondary metabolite and gene expression profiles of the flesh and skin of four popular radish varieties with different flesh and/or skin colors, using UPLC-MS/MS-based metabolomics and transcriptomics approach combined with RT-qPCR. …”
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    Article
  2. 82

    Transcriptomics-based investigation of resistance differences to swine fever between large white pigs and min pigs by Jia Li, Deming Ren, Xiangxu Meng, Yiyun He, Lixian Wang, Xihui Sheng, Ligang Wang

    Published 2025-03-01
    “…This heightened immune responsiveness could contribute to the observed differences in disease resistance between Min pigs and Large White pigs.…”
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    Article
  3. 83

    Comparative transcriptome analysis of the effect of different heat shock periods on the unfertilized ovule in watermelon (Citrullus lanatus) by Ying-chun ZHU, De-xi SUN, Yun DENG, Guo-lin AN, Wei-hua LI, Wen-jing SI, Jun-pu LIU, Xiao-wu SUN

    Published 2020-02-01
    “…Thus, we aimed to investigate the gene expression patterns in unfertilized ovules of watermelon after different periods of heat shock by using RNA-Seq technology. …”
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    Article
  4. 84

    Transcriptomic Profiling of ‘Candidatus Liberibacter asiaticus’ in Different Citrus Tissues Reveals Novel Insights into Huanglongbing Pathogenesis by Amelia H. Lovelace, Chunxia Wang, Amit Levy, Wenbo Ma

    Published 2025-01-01
    “…Comparative transcriptomics between seed coat, midrib, and ACP identified specific responses and metabolic states of Las in different host tissue. …”
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    Article
  5. 85

    Comparative transcriptome analysis revealed gene expression differences in fruits between two Actinidia chinensis cultivars by Lina Guo, Kai Yan, Dan Li, Wanxing Li

    Published 2024-12-01
    “…However, the fruit transcriptome differences at the ripening stage between JD and HY are poorly understood. …”
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    Article
  6. 86
  7. 87

    Comparative skin transcriptome analysis as a potential tool to investigate intra- and inter-population differences in belugas by Ebru Unal, Ebru Unal, Vijender Singh, Robert Suydam, Robert Suydam, Caroline E. C. Goertz, Tracy A. Romano, Tracy A. Romano

    Published 2024-11-01
    “…Findings from this study suggest comparative skin transcriptomics as a useful tool towards understanding biologically relevant gene expression differences at different temporal and spatial scales among beluga stocks with potential to inform and contribute to conservation and recovery of endangered beluga stocks.…”
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  8. 88

    Comparative transcriptomes reveal insights into different host responses associated with Fusarium head blight resistance in wheat by Hao Wang, Xiaoying Yang, Tingting Li, Zuchun Li, Jianing Zhao, Zi Wang, Zhenyu Wang, Tingdong Li, Chunhuan Chen, Jixin Zhao, Changyou Wang, Xinlun Liu, Pingchuan Deng, Wanquan Ji

    Published 2025-04-01
    “…This study comparatively analyzed transcriptome data from six wheat materials with differing levels of resistance following infection by Fusarium graminearum (F. graminearum). …”
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  9. 89
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  11. 91

    Metabolomics and transcriptomics indicate the changes in medicinal components of Amygdalus mongolica kernels during different developmental stages by Zhenyu Lei, Hong Chang, Li Song, Hongbing Zhou, Hongbing Zhou, Wanfu Bai, Yingchun Bai, Shuyuan Jiang, Songli Shi, Songli Shi, Jia Wang

    Published 2025-05-01
    “…A total of 104 significant differential metabolites were identified across different growth stages: the early growth stage (E), the middle growth stage (M), and the late growth stage (L). …”
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  12. 92

    Single-Nucleus and Spatial Transcriptomics Revealing Host Response Differences Triggered by Mutated Virus in Severe Dengue by Qian Chen, Yizhen Yuan, Fangzhou Cai, Zhe Li, Qiang Wei, Wei Wang

    Published 2024-11-01
    “…Second, employing single-nucleus and spatial RNA sequencing, we analyzed and verified transcriptome samples in uninfected, mild (NGC group), and severe (N10 group) liver tissues from murine models. …”
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  13. 93
  14. 94

    Integrative lipidomic and transcriptomic analysis unraveled polystyrene nanoplastics-induced liver injury via oral and inhalation exposure: All roads lead to Rome? by Yiling Ge, Sheng Yang, Tianyi Zhang, Jie Li, Saisai Gong, Yifei Fang, Yuting Liang, Lihong Yin, Yuepu Pu, Zaozao Chen, Geyu Liang

    Published 2025-08-01
    “…As the primary target organ for accumulated NPs, the liver faces substantial health risks, but the differential hepatotoxic effects of different exposure routes remain unknown. In this study, a four-week exposure experiment in mice using polystyrene nanoplastics (PS-NPs) through oral and inhalation routes were conducted. …”
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  18. 98

    Morphophysiological responses and gene regulation of two bermudagrass cultivars differing in response to drought stress by Jia Jiang, Along Chen, Jiayi Qi, Xiashun Liu, Qianhan Zhao, Chen Wang, Tiantian He, Xueling Zheng, Wenjing Deng, Jingbo Chen, Dandan Li, Fuchun Xie, Yajun Chen

    Published 2025-04-01
    “…In this study, we employed two different drought-tolerant bermudagrass cultivars ‘Yangjiang’ and ‘Guanzhong’ to assess the morphology, physiology and transcriptome under various drought stress conditions. …”
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  19. 99

    Degradation of lignocellulose by different bacterial and fungal co-cultures by Julian Detain, Ludovic Besaury

    Published 2024-01-01
    “…The goal of the study was to setup inter-domain co-cultures with high capabilities of lignocellulose degradation using a pluridisciplinary approach combining bioinformatics, enzymology, transcriptomics. Different individual lignocellulolytic strains: Trichoderma reesei QM6a and three bacteria (Streptomyces coelicolor A3(2), Rhizobium sp.XylPr11 and Sphingobacterium prati AraPr2 affiliated from different phyla) were used in that study . …”
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