Showing 641 - 660 results of 3,180 for search 'different transcriptome', query time: 0.13s Refine Results
  1. 641

    Transcriptome alterations in long-term mining region residents: Insights into immune response and molecular pathways by Ani Stepanyan, Arsen Arakelyan, Jonathan Schug

    Published 2025-03-01
    “…Additionally, the study identified differences in the transcriptome response between male and female MRR. …”
    Get full text
    Article
  2. 642

    Genome and transcriptome wide association study identify candidate genes regulating folate levels in maize by Chenglin Zou, Meng Yang, Aihua Huang, Runxiu Mo, Ruining Zhai, Kaijian Huang

    Published 2025-06-01
    “…Candidate genes associated with folate accumulation were further located by integrating transcriptome-wide association studies (TWAS) and genome-wide association studies (GWAS) analyses. …”
    Get full text
    Article
  3. 643

    Transcriptomics of Subcutaneous Tissue of Lipedema Identified Differentially Expressed Genes Involved in Adipogenesis, Inflammation, and Pain by Maria Karolin Streubel, PhD, Axel Baumgartner, MD, Ilka Meier-Vollrath, MD, Yvonne Frambach, MD, Matthias Brandenburger, PhD, Tobias Kisch, MD

    Published 2024-11-01
    “…Methods:. A whole transcriptome analysis of subcutaneous tissue of lipedema stages I (n = 12), II (n = 9), and III (n = 8) compared with hypertrophied subcutaneous tissue (n = 4) was performed. …”
    Get full text
    Article
  4. 644

    Identification of candidate genes for leaf size by QTL mapping and transcriptome sequencing in Brassica napus L by Fengjie Cheng, Yuwen Wang, Aoyi Peng, Shuyu Li, Jun Chen, Xiaoxiao Zheng, Jie Xiong, Ge Ding, Bingchao Zhang, Wen Zhai, Laiqiang Song, Wenliang Wei, Lunlin Chen

    Published 2025-01-01
    “…., leaf width (LW), leaf length (LL) and leaf area (LA), was performed using a recombinant inbred line (RIL) population and four QTLs for LW, two QTLs for LL and four QTLs for LA were detected. Transcriptome analysis revealed that differentially expressed genes (DEGs) were enriched in the GO terms related to microtubules, and the expression level of several genes involved in cell division also showed significant differences. …”
    Get full text
    Article
  5. 645

    Genome-resolved transcriptomics reveals novel PCE-dehalogenating bacteria from Aarhus Bay sediments by Chen Zhang, Tom N. P. Bosma, Siavash Atashgahi, Hauke Smidt

    Published 2025-05-01
    “…In this study, we applied a genome-resolved transcriptomic approach to characterize the identity and activity of OHRB from tetrachloroethene respiring cultures previously enriched from sediments of Aarhus Bay. …”
    Get full text
    Article
  6. 646

    Identification and validation of differentially expressed genes in allergic asthma pathogenesis using whole-transcriptome sequencing by Fang Cui, Rui Liu, Li Wang, Jing He, Yanxia Xu

    Published 2025-04-01
    “…ObjectiveThis study aims to systematically identify differential gene expression profiles in patients with allergic asthma through whole-transcriptome sequencing and validate the role of these genes in asthma pathogenesis, thereby uncovering potential molecular mechanisms.MethodsThis study recruited a cohort of 80 individuals diagnosed with allergic asthma and 40 healthy controls. …”
    Get full text
    Article
  7. 647
  8. 648
  9. 649

    Transcriptome and metabolome analyses provide crucial insights into the adaptation of chieh-qua to Fusarium oxysporum infection by Yanchun Qiao, Jiazhu Peng, Bei Wu, Min Wang, Guoping He, Qingwu Peng, Yin Gao, Yuping Liu, Songguang Yang, Xiuchun Dai

    Published 2024-11-01
    “…Oxysporum infection is of great significance for cultivating resistant varieties.MethodsThrough comparative transcriptome analysis, comparative metabolome analysis, integrated analysis of transcriptome and metabolome and between F. …”
    Get full text
    Article
  10. 650
  11. 651

    RNAcare: integrating clinical data with transcriptomic evidence using rheumatoid arthritis as a case study by Mingcan Tang, William Haese-Hill, Fraser Morton, Carl Goodyear, Duncan Porter, Stefan Siebert, Thomas D. Otto

    Published 2025-05-01
    “…Abstract Background Gene expression analysis is a crucial tool for uncovering the biological mechanisms that underlie differences between patient subgroups, offering insights that can inform clinical decisions. …”
    Get full text
    Article
  12. 652

    Transcriptome profiling reveals insight into the cold response of perennial ryegrass genotypes with contrasting freezing tolerance by Akhil Reddy Pashapu, Gražina Statkevičiūtė, Ferenz Sustek-Sánchez, Mallikarjuna Rao Kovi, Odd Arne Rognli, Cecilia Sarmiento, Nils Rostoks, Kristina Jaškūnė

    Published 2024-12-01
    “…In this study, we aimed to identify transcriptional changes in plants subjected to low and freezing temperatures as well as to elucidate differences between tolerant and sensitive genotypes. …”
    Get full text
    Article
  13. 653

    Transcriptome and Endogenous Hormones Reveal the Regulatory Mechanism of Flower Development in <i>Camellia azalea</i> by Jian Xu, Fan Yang, Ruimin Nie, Wanyue Zhao, Fang Geng, Longqing Chen

    Published 2025-07-01
    “…Nevertheless, research on the regulatory mechanisms of flower formation in <i>C. azalea</i> is still limited, so in this study, transcriptome sequencing and analysis of endogenous hormone contents were conducted at three distinct growth stages: floral induction, floral organ maturation, and anthesis. …”
    Get full text
    Article
  14. 654

    Regulatory patterns of testis and ovary maturation in largemouth bass (Micropterus salmoides) revealed by transcriptome profiling by Qingchun Wang, Siqi Lu, Jixiang Hua, Yifan Tao, Yan Zhuge, Wenhua Chen, Xuejun Duan, Jun Qiang

    Published 2025-07-01
    “…We conducted histological analyses, transcriptome sequencing, and fluorescent in situ hybridization (FISH) analyses to detect differences in gene expression between ovaries and testes of sexually mature largemouth bass (6.5 months old). …”
    Get full text
    Article
  15. 655

    Integrated transcriptomic and metabolomic analysis of goose epididymis reveals molecular markers associated with sperm mobility by Xiaofang Ren, Ke Jiang, Jiaxin Yin, Zhigang Ma, Zhifeng Chen, Kun Yang, Shengjun Liu

    Published 2025-07-01
    “…Additionally, 486 metabolites showed significant differences between the groups in both positive and negative ion modes. …”
    Get full text
    Article
  16. 656
  17. 657

    Cytological, Phytohormone, and Transcriptomic Analyses Reveal the Key Genes and Pathways Involved in Melon Fruit Cracking by Rong Fan, Bin Liu, Xiaoyu Duan, Meihua Li, Yongbing Zhang, Xuejun Zhang, Guozhi Hu, Yong Yang

    Published 2025-02-01
    “…Hormonal analysis revealed significant differences in abscisic acid, cytokinin, gibberellin, auxin, and salicylic acid contents between R2 and R6 at various fruit developmental stages. …”
    Get full text
    Article
  18. 658

    Multimodal integration of homotopic connectivity and transcriptomic signatures in major depressive disorder with sleep disorder comorbidity by Mingyu Li, Yudan Ding, Yangpan Ou, Huabing Li, Feng Liu, Dongsheng Lv, Ping Li, Bing Lang, Wenbin Guo

    Published 2025-07-01
    “…Additionally, we identified genes related to Pa_s-Pa_ns differences in VMHC values and the associated biological processes and signaling pathways. …”
    Get full text
    Article
  19. 659

    Transcriptome sequencing and anthocyanin metabolite analysis involved in leaf red color formation of Cinnamomum camphora by Xinxin Wu, Yan Li, Tong Du, Li Kang, Baolei Pei, Weibing Zhuang, Fang Tang

    Published 2024-12-01
    “…Using LC MS/MS, 11 types of anthocyanins showed significant accumulative differences, with cyanidin-3,5-O-diglucoside exhibiting the greatest disparity. …”
    Get full text
    Article
  20. 660

    Differential changes in the microglial transcriptome between neonatal and adult mice after spinal cord injury by Qi Jiang, Shiyuan Xue, Xiaojing Pan, Tengbo Yu, Xinyi Wei, Liping Li, Chao Qi, Weipeng Shi, Zhongkai Ren, Die Hu, Haitao Fu

    Published 2025-04-01
    “…We identified candidate genes and pathways involved in microglial transcriptome heterogeneity after SCI in neonatal and adult mice. …”
    Get full text
    Article