Showing 881 - 900 results of 3,180 for search 'different transcriptome', query time: 0.12s Refine Results
  1. 881

    A Preliminary Exploration of Transcriptome and Proteomic Changes During the Young and Harvest Periods in <i>Morchella sextelata</i> by Weilin Feng, Zier Guo, Qunli Jin, Fei Xu, Yingyue Shen, Tingting Song, Mei Wang, Jun Zhang, Lijun Fan, Xianbin Huang, Weiming Cai

    Published 2025-03-01
    “…Based on GO and KEGG analysis, significant differences in the transcriptomes and proteins in metabolic pathways are disclosed. …”
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    Article
  2. 882

    Spatial transcriptomics combined with single-nucleus RNA sequencing reveals glial cell heterogeneity in the human spinal cord by Yali Chen, Yiyong Wei, Jin Liu, Tao Zhu, Cheng Zhou, Donghang Zhang

    Published 2025-11-01
    “…Additionally, we detected sex differences in gene expression in human spinal cord glial cells. …”
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    Article
  3. 883
  4. 884

    Genetic and metabolic mechanisms underlying webbed feet pigmentation in geese: Insights from histological, transcriptomic, and metabolomic analyses by Yi Liu, Kaiqi Weng, Guangquan Li, Huiying Wang, Yu Tan, Daqian He

    Published 2025-08-01
    “…This study systematically investigated the genetic and metabolic mechanisms underlying pigmentation in goose webbed feet by integrating histological, transcriptomic, and metabolomic analyses. Histological examinations revealed significant differences in melanin deposition among webbed feet of varying colors. …”
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    Article
  5. 885

    Transcriptomic and glucose metabolism of connectome dynamics variability in temporal lobe epilepsy revealed by simultaneous PET-fMRI by Jie Hu, Bixiao Cui, Zhenming Wang, Jingjuan Wang, Xiaoyin Xu, Jie Lu

    Published 2025-08-01
    “…These case-control differences were validated through split-half analyses and remained unaffected by medication or lateralization. …”
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    Article
  6. 886
  7. 887
  8. 888

    Comparative transcriptomic analysis and identification of candidate genes related to Verticillium wilt resistance in Gossypium barbadense and Gossypium hirsutum by Jieyin Zhao, Xingui Hu, Yuxiang Wang, Jiaxin Lu, Wenju Gao, Xuening Su, Quanjia Chen, Yanying Qu

    Published 2025-03-01
    “…Here, we report a transcriptomic study for phenotypic evaluation of Verticillium wilt resistance in G. hirsutum (TM-1) and G. barbadense (Hai7124) and a comparison of the transcriptomes at 7 time points after Verticillium dahliae inoculation. …”
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    Article
  9. 889

    Combining QTL mapping and transcriptomics to identify candidate genes for cold tolerance during the budding and seedling stages in rice by Chun Ae Kim, Wenqiang Chen, Shuangbing Zhu, Guogen Zhang, Congcong Shen, Kai Chen, Xiuqin Zhao, Tianqing Zheng, Wensheng Wang, Jianlong Xu

    Published 2025-08-01
    “…A comprehensive analysis integrating QTL and transcriptome data from both stages revealed distinct differences in CT mechanisms, highlighting stage-specific variations. …”
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  10. 890
  11. 891

    Verification of biological markers of subacute cutaneous lupus erythematosus via TMT labelling proteomics combined with transcriptome data by Yuan Tao, Guo Hua, Sun Min, Lu Xiao-hong, Jiang Jia-hui, Tang Biao, He Cai-feng, Zhang Cheng, Ci Chao, Wu Jian-ping

    Published 2025-12-01
    “…The differences in transcriptomic data from peripheral blood mononuclear cells (PBMCs) of patients with systemic lupus erythematosus (SLE) and normal controls were analysed (GSE81622 and GSE154851). …”
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    Article
  12. 892
  13. 893

    Potential shared mechanisms in atopic dermatitis and type 2 diabetes identified via transcriptomic and machine learning approaches by Yang Zhang, Qiangman Wei, Qianzhi Chen

    Published 2024-12-01
    “…Despite their apparent differences, the molecular mechanisms shared between AD and T2DM remain relatively unexplored. …”
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    Article
  14. 894

    Microbial-transcriptome integrative analysis of heat stress effects on amino acid metabolism and lipid peroxidation in poultry jejunum by Young-Jun Seo, Chiwoong Lim, Byeonghwi Lim, Jun-Mo Kim

    Published 2024-12-01
    “…Heat stress engendered statistically significant difference in the abundance of 11 microorganisms, including Bacteroides and Peptostreptococcacea. …”
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    Article
  15. 895

    Integrating transcriptome and metabolome analyses to characterize flower development in Salix variegata franch., a typical dioecious plant by Huan Zhang, Wenqiao Li, Xiao Zhang, Rui Pan, Mingwei Tang, Yang Peng, Yiyun Wang, Youwei Zuo, Zhe Zhang, Hongping Deng

    Published 2025-03-01
    “…As a result, 12,245 differentially expressed genes (DEGs) and 4,145 differently expressed metabolites (DEMs) were identified. …”
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    Article
  16. 896
  17. 897

    Transcriptomic Dysregulation in Animal Models of Attention‐Deficit Hyperactivity Disorder and Nicotine Dependence Suggests Shared Neural Mechanisms by Sarah Van Horn, Heather Driscoll, Donna J Toufexis

    Published 2025-03-01
    “…Methods The present analysis compared transcriptomic data from the brains of rodent models of ADHD and those of ND, with a focus on striatal gene expression. …”
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    Article
  18. 898

    Hepatocyte reporter cells and integrated metabolomic and transcriptomic analyses reveal insights into hepatocyte changes in offspring of pregnancies with obesity by Svetlana Y. Kozlovich, Amy Y. Pan, Jennifer J. McIntosh, Anna Palatnik, Shuang Jia, Martin J. Hessner, T. Hang Nghiem-Rao

    Published 2025-07-01
    “…We integrated metabolomic analysis of umbilical cord plasma and transcriptomic analysis of cord plasma-exposed hepatocytes to examine differences in the intrauterine environment of pregnancies with and without maternal obesity. …”
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    Article
  19. 899

    Identification of key LncRNAs and mRNAs in fat deposition of Saba pigs based on comparative analysis of transcriptomics by Xinxing Dong, Xinpeng Li, Xiaoyi Wang, Qiang Chen, Mingli Li, Dawei Yan, Guoxiang Lan, Shaoxing Lu

    Published 2024-12-01
    “…This study focused on profiling LncRNAs in back fat deposition in Saba and Yorkshire pigs, which exhibit significant differences in fat accumulation. Using transcriptome sequencing and bioinformatics, we identified 704 differentially expressed mRNAs and 50 LncRNAs. …”
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    Article
  20. 900

    Spatial transcriptomic analysis of 4NQO-induced tongue cancer revealed cellular lineage diversity and evolutionary trajectory by Feng Liu, Feng Liu, Xiaojun Wu, Shaoqing Yu, Deqiang Cheng, Jun Pan, Xiaodong Wang, Guanzhen Yu, Guanzhen Yu, Chaofu Li

    Published 2025-07-01
    “…IntroductionSpatial transcriptomic analysis has proposed valuable insights into the behavior of tongue cancer. …”
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    Article