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  1. 241

    Metformin strongly affects transcriptome of peripheral blood cells in healthy individuals. by Monta Briviba, Ivars Silamikelis, Ineta Kalnina, Laura Ansone, Vita Rovite, Ilze Elbere, Ilze Radovica-Spalvina, Davids Fridmanis, Jekaterina Aladyeva, Ilze Konrade, Valdis Pirags, Janis Klovins

    Published 2019-01-01
    “…Next generation sequencing-based transcriptome analysis revealed metformin-induced differential expression of genes involved in intestinal immune network for IgA production and cytokine-cytokine receptor interaction pathways. …”
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    Article
  2. 242

    Transcriptomic and Metabolomic Analysis Reveals Improved Fruit Quality in Grafted Watermelon by Kang Ning, Xiaoqi Cai, Leiyan Yan, Weixin Zhou, An Xie, Yuhong Wang, Pei Xu

    Published 2024-11-01
    “…In this study, we investigated the effects of grafting on watermelon using transcriptomic and metabolomic analysis. A total of 216 differentially accumulated metabolites (DAMs) were identified between pumpkin-grafted watermelon and self-grafted watermelon. …”
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  3. 243

    Gene fusion detection in long-read transcriptome sequencing data with GFvoter by Xiaolan Zhao, Zitong Ren, Junhai Qi, Enfeng Qi, Xiaoyu Zhao, Guojun Li, Ting Yu

    Published 2025-06-01
    “…Abstract Gene fusion is a prevalent occurrence in cancer patients, and fusions are significant both as diagnostic biomarkers and as therapeutic targets for cancer. Long-read transcriptome sequencing technology provides new opportunities for gene fusion detection. …”
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    Article
  4. 244

    Comparative Transcriptome Analyses Reveal the Mechanisms Underlying Waterlogging Tolerance in Barley by Juan Zhu, Haoxin Yin, Cong Cao, Chengqun Sun, Mengna Zhang, Yi Hong, Yuhang Zhang, Chao Lv, Baojian Guo, Feifei Wang, Rugen Xu

    Published 2024-12-01
    “…The qPCR results were consistent with the transcriptome data, suggesting the reliability of the transcriptome sequencing. …”
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    Article
  5. 245

    Metabolomic and Transcriptomic Analyses Reveal the Response Mechanism of Seed Germination in Macadamia by Zhuanmiao Kang, Liang Tao, Guangzheng Guo, Jianjian Geng, Hui Zeng, Ximei Song, Xinghao Tu, Wenlin Wang

    Published 2025-05-01
    “…A total of 1523 metabolites and 13,035 differentially expressed genes (DEGs) were detected by transcriptomic and metabolomic analyses, among which 1320 were transcription factors. …”
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    Article
  6. 246
  7. 247

    Transcriptomic and metabolomic responses of maize under conventional and biodegradable microplastic stress by Yuanze Sun, Jingxi Zang, Siyuan Xie, Mochen Wu, Jianguo Tao, Tanveer M. Adyel, Xinyu Du, Si Li, Jie Wang

    Published 2025-03-01
    “…Additionally, metabolomics and transcriptomic analyses revealed that the pathways of secondary metabolite biosynthesis, photosynthesis, energy metabolism, and carbohydrate metabolism were regulated by biodegradable and conventional microplastics. …”
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    Article
  8. 248

    Advancing dimensionality reduction for enhanced visualization and clustering in single-cell transcriptomics by P. Sanju

    Published 2025-03-01
    “…Single-cell RNA sequencing (scRNA-seq) has become a pivotal method, offering detailed insights into transcriptomic landscapes with exceptional resolution. …”
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    Article
  9. 249

    Deterministic genetic barcoding for multiplexed behavioral and single-cell transcriptomic studies by Jorge Blanco Mendana, Margaret Donovan, Lindsey Gengelbach O'Brien, Benjamin Auch, John Garbe, Daryl M Gohl

    Published 2025-02-01
    “…Advances in single-cell sequencing technologies have provided novel insights into the dynamics of gene expression and cellular heterogeneity within tissues and have enabled the construction of transcriptomic cell atlases. …”
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    Article
  10. 250

    Single cell transcriptomics in blood of patients with chronic obstructive pulmonary disease by Yeonjeong Heo, Jeeyoung Kim, Seok-Ho Hong, Woo Jin Kim

    Published 2025-01-01
    “…Single-cell RNA sequencing (scRNA-seq) provides gene expression profiles at the single-cell level. …”
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  11. 251

    Unravelling the transcriptomic characteristics of bronchoalveolar lavage in post-covid pulmonary fibrosis by Mohammad Shadab Ali, Vijay Hadda, Sonia Verma, Anita Chopra, Saurabh Mittal, Karan Madan, Pawan Tiwari, Tejas Menon Suri, Anant Mohan

    Published 2025-03-01
    “…Conclusion This investigation provides crucial insights into the molecular mechanism of PCPF and also outlines avenues for prospective research and the development of therapeutic approaches.…”
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  12. 252

    A high-definition spatiotemporal transcriptomic atlas of mammalian kidney development by Shan Jiang, Hao Yu, Ting Zhao, Yao Lu, Xuesong Li, Lei Gao, Jie Mi, Wenzhe Xia, Lanjun Geng, Panpan Li, Mingyue Chen, Mengyao Kang, Jiang Liu, Yuwen Ke

    Published 2025-04-01
    “…Here, we present a spatially resolved transcriptome atlas at single-cell resolution to explore the establishment and maintenance of kidney structure in mice. …”
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  13. 253

    Polygenic transcriptome risk scores enhance predictive accuracy in atopic dermatitis by Charalabos Antonatos, Ashley Budu-Aggrey, Alexandros Pontikas, Adam Akritidis, Efstathia Pasmatzi, Aikaterini Tsiogka, Stamatis Gregoriou, Katerina Grafanaki, Lavinia Paternoster, Yiannis Vasilopoulos

    Published 2025-05-01
    “…Abstract Background Incorporation of gene expression when estimating polygenic risk scores (PRS) in atopic dermatitis (AD) may provide additional insights in disease pathogenesis and enhance predictive accuracy. …”
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  14. 254
  15. 255

    Single-cell transcriptomics for immune profiling of cerebrospinal fluid in neurological diseases by David Ramos-Vicente, Paola Monterosso, Oriol de Fàbregues, Oriol de Fàbregues, Gerard Roch, Miquel Vila, Miquel Vila, Miquel Vila, Miquel Vila, Jordi Bové

    Published 2025-05-01
    “…In this comprehensive review, we delve into the significant body of research on single-cell transcriptomics in cerebrospinal fluid (CSF) to understand neurological diseases with autoimmune, neurodegenerative, infectious, or oncogenic origins. …”
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  16. 256

    Transcriptomic and epigenetic responses shed light on soybean resistance to Phytophthora sansomeana by Gwonjin Lee, Charlotte N. DiBiase, Beibei Liu, Tong Li, Austin G. McCoy, Martin I. Chilvers, Lianjun Sun, Dechun Wang, Feng Lin, Meixia Zhao

    Published 2024-09-01
    “…Comparative transcriptomic analyses revealed a greater number of differentially expressed genes (DEGs) upon pathogen inoculation in resistant lines, particularly at 8 and 16 hpi. …”
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  17. 257

    Influence of Pregnancy on Whole-Transcriptome Sequencing in the Mammary Gland of Kazakh Mares by Zhenyu Zhang, Zhixin Lu, Xinkui Yao, Linling Li, Jun Meng, Jianwen Wang, Yaqi Zeng, Wanlu Ren

    Published 2025-07-01
    “…This study utilized high-throughput sequencing to conduct whole-transcriptome sequencing analysis on the mammary gland tissue of eight Kazakh mares, of which four were pregnant and four were non-pregnant, to systematically reveal the molecular regulatory mechanisms. …”
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  20. 260

    Transcriptomic profiling reveals the mechanism of fast growth of an allodiploid hybrid fish by Ziyi Huang, Siyang Huang, Hongwen Liu, Bei Li, Jianming Yu, Xuanyi Zhang, Fanglei Liu, Lujiao Duan, Qingfeng Liu

    Published 2025-03-01
    “…In this study, the liver transcriptomes of BR and parents were analyzed by RNA-seq technology. …”
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