Showing 121 - 140 results of 2,645 for search 'while transcriptome', query time: 0.08s Refine Results
  1. 121
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    Exploring the Metabolic and Transcriptomic Profiles of Tetrastigma hemsleyanum for Tissue-Specific Compound Accumulation by Lingxia Peng, Hongju Li, Lijun Yang, Zongsuo Liang, Zongsuo Liang, Xiaodan Zhang

    Published 2025-04-01
    “…Flavonoids, glycosides, alkaloids, and terpenoids were strongly accumulated in the tuberous roots, while flavonoid alcohols, glycosides, alkaloids, and terpenoids were predominant in the leaves and fibrous roots. …”
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    Article
  3. 123

    Multi-tissue transcriptomic characterization of endogenous retrovirus-derived transcripts in Capra hircus by Ming-Di Li, Ming-Di Li, Hu-Rong Li, Shao-Hui Ye

    Published 2025-03-01
    “…TE-derived reads account for 10% of the transcriptome and their abundance are comparable in various goat tissues, while expression of ERVs are variable among tissues. …”
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  4. 124

    Transcriptome Analysis Provides Insights into the Safe Overwintering of Local Peach Flower Buds by Ruxuan Niu, Yongjuan Cheng, Falin Wang, Yiwen Zhang, Chenbing Wang

    Published 2024-12-01
    “…A total of 10,168 differential genes were annotated through transcriptome sequencing. Among them, 4975 were up-regulated while 5193 were down-regulated. …”
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  5. 125
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    Integration of metabolomics and transcriptomics analyses reveals the effects of nano-selenium on pak choi by Yanyan Wang, Peiheng Sun, Mingying Nie, Jianyun Zhan, Liu Huang, Junda Wu, Jie Zhang, Xiaowu He, Na Li, Longsong Hu, Shiyu Liu, Chengfu Yuan, Changming Zhou, Guangjie Chen, Jialong Huang, Xiaofei Li

    Published 2025-04-01
    “…The findings revealed that a low concentration (5 mg L−1) of nano-selenium significantly increased leaf weight and total selenium content, while modulating primary metabolites such as soluble amino acids, proteins, sugars and ascorbic acid. …”
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  8. 128

    Transcriptomic and metabolomic analyses reveal phenolic metabolism regulated by melatonin in pear peel by Shuai Yan, Liangliang Zhao, Deying Zhao, Gongxun Xu, Yufei Wang, Zhiqin Zhou, Cungang Cheng

    Published 2025-04-01
    “…It can influence the key enzyme genes’ expression of phenolic metabolism while stimulating the production of l-phenylalanine, cinnamic acid, caffeic acid, ferulic acid, leucocyanidin and uridine 5ʹ-diphospho-d-glucose, which promote the biosynthesis of anthocyanidins, phenolic acids, and lignins. …”
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  9. 129

    Novel kinetic and developmental transcriptomic pan-stress responses by embryonic stem cells by Aditi Singh, Ximena Lu Ruden, Wen Tang, Awoniyi Olumide Awonuga, Douglas Mark Ruden, Steven James Korzeniewski, Elizabeth Ella Puscheck, Hao Feng, Daniel Allen Rappolee

    Published 2025-07-01
    “…Notably, ninety-four genes display significant expression changes under four weaker stressors and normal differentiation conditions, while a twenty-one/ninety-four gene subset exhibits shared significance with the inclusion of two stronger stimuli. …”
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  10. 130

    Mechanisms of Microctis Folium in Hyperlipidemia: Integrating Serum Pharmacochemistry, Network Pharmacology, and Transcriptomics by Xiao G, Wu G, Liu Y, Chen W, Zeng Z, Li S, Li Y, Bi X

    Published 2025-07-01
    “…Merr, hyperlipidemia, network pharmacology, serum pharmacochemistry, transcriptomics…”
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  11. 131
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    Transcriptomic analysis reveals the function of m6A regulators in aged cochlea by Yanbing Lai, Bo Su, Xiaodi Wang, Chenghui Zeng, Hanqi Chu, Liangqiang Zhou, Dan Bing

    Published 2025-05-01
    “…Methods: We sequenced the transcriptome from the cochleae of six young (2-mo) and six old mice (24-mo) bioinformatics analysis. …”
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  13. 133

    BcatrB mediates pyrimethanil resistance in Botrytis cinerea revealed by transcriptomics analysis by Shuqi Wang, Xinyi Zhang, Shan Zhong, Rong Wang, Bingwei Chen, Wanlong Ding, Hongmei Luo, Yong Li

    Published 2025-04-01
    “…The results indicate that BcatrB plays a central role in pyrimethanil resistance, while methionine contributes only marginally to resistance mechanisms.…”
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    Genomic and Transcriptomic Analysis to Explore the Biological Characteristics of <i>Cyclocybe chaxingu</i> by Qiang Yang, Haiyan Song, Ge Su, Xuncheng Wang, Haijing Hu, Zhijun Zhai, Minghui Chen, Jianping Zhou, Hua Yin, Yang Gao, Dianming Hu

    Published 2025-04-01
    “…GO and KEGG enrichment analyses demonstrated the stipe’s association with structural integrity and transport, while the cap is linked to metabolic activity, gene regulation, stress responses, and DNA repair. …”
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  17. 137

    Immune inflammatory regulation in Anti-NMDAR encephalitis: insights from transcriptome analysis by Shan Qiao, Shan Qiao, Jia Wang, Shan-chao Zhang, Ai-hua Wang, Hai-yun Li, Tao Xin, Tao Xin

    Published 2025-05-01
    “…INSL3 and TPT1 may serve as potential auxiliary diagnostic biomarkers, while monocyte, CD8+ T cell, and Treg infiltration likely synergistically drive disease progression.…”
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  18. 138

    Comparative transcriptomics of atrazine-tolerant and sensitive alfalfa varieties under atrazine stress by Yingao Li, Chunyang Dong, Zeshan Zulfiqar, Haojie Wang, Jiading Lu, Xiaoxia Zhang, Jun Li, Yinghua Shi, Chengzhang Wang, Xiaoyan Zhu, Hao Sun

    Published 2025-08-01
    “…In WL363, 2,937 genes were upregulated and 4,237 genes were downregulated in the shoot parts, while 5,316 genes were upregulated and 7,977 genes were downregulated in the roots. …”
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  19. 139

    Identification and isolation pipeline for single cell transcriptomic of magnetically enriched tumor cells by Peng Liu, Sitian He, Mette Ø. Agerbæk, Ali Salanti, Leon W.M.M. Terstappen, Pascal Jonkheijm, Michiel Stevens

    Published 2025-12-01
    “…Introduction: The transcriptomic analysis of circulating tumor cells provides valuable insights into cancer metastasis, heterogeneity and the identification of drugable targets. …”
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  20. 140

    Unveiling Key Biomarkers and Mechanisms in Septic Cardiomyopathy: A Comprehensive Transcriptome Analysis by Zhao D, Zhuang J, Wang L, Wu L, Xu W, Zhao L, Hong J, Jin W, Miao C

    Published 2024-12-01
    “…Functional enrichment analysis was performed to uncover relevant signaling pathways, while single-cell RNA sequencing was used to examine key genes and regulatory mechanisms associated with SCM.Results: A total of 374 differentially expressed genes (DEGs) were identified, with 268 genes up-regulated and 106 genes down-regulated. …”
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