Showing 521 - 540 results of 3,180 for search 'different transcriptome', query time: 0.12s Refine Results
  1. 521

    Transcriptomic Divergence and Associated Markers Between Genomic Lineages of Silver Catfish (Rhamdia quelen) by Néstor Ríos, Belén G. Pardo, Carlos Fernández, José Antonio Alvarez‐Dios, Paulino Martínez, Carmen Bouza, Graciela García

    Published 2025-03-01
    “…Skeletal muscle and brain expressed genes associated with growth were also identified. Transcriptomic differences suggestive of adaptation to temperature and salinity were revealed between North and South genomic lineages. …”
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    Article
  2. 522

    Spatial transcriptomic analysis of tumor microenvironment in esophageal squamous cell carcinoma with HIV infection by Yuanli Zuo, Yang Jin, Gang Li, Yue Ming, Ting Fan, Yitong Pan, Xiaojun Yao, Yong Peng

    Published 2025-02-01
    “…However, the spatial cellular characteristics of HIV-related ESCC have not been explored, and the differences between HIV-ESCC and typical ESCC remain unclear. …”
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    Article
  3. 523

    Genetic Adaptations of Soybean to Cold Stress Reveal Key Insights Through Transcriptomic Analysis by Xiulin Liu, Chunlei Zhang, Sobhi F. Lamlom, Kezhen Zhao, Ahmed M. Abdelghany, Xueyang Wang, Fengyi Zhang, Rongqiang Yuan, Dezhi Han, Bire Zha, Wencheng Lu, Honglei Ren, Bixian Zhang

    Published 2024-10-01
    “…Low temperatures greatly restrict the development, growth, and productivity of soybeans, with their effects differing across various cultivars. The present work investigated the transcriptome and physiological reactions of two soybean cultivars, namely “KD52” exhibiting cold tolerance and “DS17” displaying cold sensitivity, to cold stress across a precisely defined period. …”
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    Article
  4. 524

    Transcriptomic sequencing and differential analysis of Kazakh horse muscles from various anatomical locations by Mierkadina· Wubulikasimu, Jiahao Liu, Xinkui Yao, Xinkui Yao, Jun Meng, Jun Meng, Jianwen Wang, Jianwen Wang, Yaqi Zeng, Yaqi Zeng, Linling Li, Wanlu Ren, Wanlu Ren

    Published 2025-07-01
    “…However, the gene expression differences across various muscle tissues of Kazakh horses have yet to be elucidated. …”
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  5. 525
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  7. 527

    Cross-tissue transcriptome-wide analysis reveals novel insights into thyroid cancer etiology by Yue Zhu, Yu Luo, Yuye Zhang, Yixuan Wang, Zhangqi Gu, Jinyan Liu, Ancheng Qin, Weifeng Qian

    Published 2025-07-01
    “…The study highlighted differences in the expression of significant genes in normal and thyroid cancer tissues at the transcriptome level and investigated their relationship with the tumor microenvironment. …”
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  8. 528

    Genome-wide association and transcriptomic analysis and the identification of growth-related genes in Macrobrachium nipponense by Zijian Gao, Wenyi Zhang, Sufei Jiang, Hui Qiao, Yiwei Xiong, Shubo Jin, Hongtuo Fu

    Published 2024-12-01
    “…Of the 100 individuals, we sampled muscle tissue from a total of 18 female and male M. nipponense exhibiting large differences in growth rate for RNA-seq. Transcriptome analysis revealed a total of 27,996 unigenes; of these, 33 and 60 differentially expressed genes were identified from males and females, respectively. …”
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    Article
  9. 529

    Targeted metabolomic and transcriptomic analyses provide insights into flavonoid biosynthesis in the grain of Foxtail millet by Zhenyan Ye, Na Qin, Senjie Fu, Huifang Zhang, Cancan Zhu, Shutao Dai, Ya Jing, Xin Wei, Chunyi Wang, Le Ju, Junxia Li

    Published 2025-07-01
    “…Comparative transcriptomic analysis demonstrated significant differences in the expression patterns of flavonoid biosynthesis-associated genes between the HF and LF groups. …”
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    Article
  10. 530

    Integrated transcriptomics and metabolomics confirms the oxidative stress mechanism of hypothermia-induced neuronal necroptosis by Song-Jun Wang, Chao-Long Lu, Fu Zhang, Xue-Tong Dong, Xiao-Rui Su, Jing-Jing Sha, Bin Cong, Xia Liu

    Published 2025-07-01
    “…Flow cytometry and fluoro-jade C staining showed that low temperature caused necroptosis of cerebral cortical neurons. Transcriptomics identified 244 differential genes between hypothermia-exposed cortical tissue and control tissue. …”
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    Article
  11. 531

    Identification of the clinical and genetic characteristics of gliomas with gene fusions by integrated genomic and transcriptomic analysis by Guo-zhong Yi, Hua-yang Zhang, Tian-shi Que, Shan-qiang Qu, Zhi-yong Li, Song-tao Qi, Wen-yan Feng, Guang-long Huang

    Published 2025-01-01
    “…The results showed no statistically significant differences were observed between fusion and non-fusion group of GBM and LGG. …”
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    Article
  12. 532

    Predicting the Risk of Preterm Birth Throughout Pregnancy Based on a Novel Transcriptomic Signature by Yang Pan, Yuxin Ran, Dongni Huang, Nanlin Yin, Yanqing Wen, Yan Jiang, Yamin Liu, Hongbo Qi

    Published 2023-10-01
    “…Methods. Blood transcriptome data of pregnant women were obtained from the Gene Expression Omnibus database. …”
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    Article
  13. 533

    Aging and head and neck cancer insights from single cell and spatial transcriptomic analyses by Yi Pei, Zhuying Mou, Lai Jiang, Jinyan Yang, Yuheng Gu, Jie Min, Lingyi Sunzhang, Nan Xiong, Xiang Xu, Hao Chi, Ke Xu, Sinian Liu, Huiyan Luo

    Published 2024-12-01
    “…For the spatial transcriptome data, SCTransform and RunPCA were applied to examine the metabolic activities of the cells. …”
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    Article
  14. 534

    Transcriptomic Signature of Frailty in Older Patients With Cardiovascular Disease Undergoing Cardiac Surgery or TAVI by Omar Baritello, Simon H. Sündermann, Kristian Espinosa‐Garnica, Jörg Kempfert, Markus Jähnert, Nick L. Beetz, Dominik Geisel, Jasmin Gaugel, Julia Rominger, Ursula Müller‐Werdan, Catrin Herpich, Kristina Norman, Alexandra Chadt, Hadi Al‐Hasani, Heinz Völler, Annett Salzwedel, Heike Vogel

    Published 2025-06-01
    “…In total, 37 patients (59%) experienced ≥ 1 complication (e.g., need of transfusion, atrial fibrillation and delirium); one patient died. Based on transcriptome data, 10 overlapping genes between all physical frailty phenotypes were identified, with S100A1 showing the strongest differences in expression level (e.g., handgrip R2adj = 0.579; p = 0.001). …”
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  15. 535
  16. 536

    Integrated transcriptomic and metabolomic analyses elucidate the mechanism by which grafting impacts potassium utilization efficiency in tobacco by Lulu Niu, Wei Hu, Fazhan Wang, Majid Shaker, Xin Yang

    Published 2025-01-01
    “…This study revealing for the first time how grafting improves potassium utilization efficiency through combined transcriptome and metabolome analysis. Results This study selected Wufeng NO. 2, a potassium-efficient variety, and Yunyan 87, a main cultivar, as the research subjects to investigate the underlying reasons for differential potassium utilization efficiency among different tobacco rootstocks through transcriptome and metabolic data analysis of grafted tobacco. …”
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  17. 537

    Integrated analysis of the transcriptome and hormone metabolome elucidates the regulatory mechanisms governing walnut bud germination by Kai Zhao, Xiaofan Wu, Bo Liang, Shuang Gao, Jieyan Yang, Yan Bai, Yaru Wang, Xin Tian, Fang Wang, Xiuqing Yang

    Published 2025-01-01
    “…By assessing hormone levels and gene expression at different developmental stages, we pinpointed potential regulatory genes and critical hormones associated with bud germination. …”
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    Article
  18. 538

    Lipopolysaccharide-induced changes in the hepatic transcriptome revealed breed-specific response in St. Croix and Suffolk sheep by Samanthia R. Johnson, Kelsey L. Bentley, Scott A. Bowdridge, Scott A. Bowdridge, Ibukun M. Ogunade

    Published 2025-07-01
    “…This study aimed to investigate breed-specific differences in the liver transcriptomic response to lipopolysaccharide (LPS) in St. …”
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  19. 539

    Combined metabolome and transcriptome analysis revealed that MSTN regulated the process of bovine fatty acid metabolism in gut by Li Gao, Yong Ma, Lili Wang, Hao Wu, Ruobing Kang, Guangpeng Li, Lei Yang, Tong Wen

    Published 2025-04-01
    “…This study aims to reveal how MSTN affects the metabolism process by regulating gut metabolites.MethodsCombined analysis of jejunal contents metabolome and jejunal tissue transcriptome was used to compare the differences in intestinal metabolites and intestinal tissue gene expression between MSTN mutant and wild-type bovines.ResultsMetabolomic analysis identified that compared to wild-type bovine, the abundance of 304 metabolites were significantly changed in MSTN mutant cattle including 142 upregulated and 162 downregulated. …”
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  20. 540

    Exploring the molecular basis of efficient feed utilization in low residual feed intake slow-growing ducks based on breast muscle transcriptome by Lei Wu, Zhong Zhuang, Wenqian Jia, Yongpeng Li, Yijia Lu, Minghong Xu, Hao Bai, Zhixiu Wang, Guobin Chang, Yong Jiang

    Published 2025-01-01
    “…Thirty high RFI (HRFI) and 30 low RFI (LRFI) birds were selected to evaluate their growth performance, carcass characteristics, and muscle development. Transcriptome and weighted gene co-expression correlation network analyses of pectoral muscles were conducted on six LRFI and six HRFI ducks. …”
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    Article