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  1. 401

    Comparative transcriptomics reveal stage-dependent parasitic adaptations in the myxozoan Sphaerospora molnari by Monika M. Wiśniewska, Jiří Kyslík, Gema Alama-Bermejo, Alena Lövy, Martin Kolísko, Astrid S. Holzer, Anush Kosakyan

    Published 2025-02-01
    “…We performed stage-specific transcriptomic profiling to identify differentially expressed key functional gene groups that relate to these functions and provide a fundamental understanding of the mechanisms S. molnari uses to optimize its parasitic lifestyle. …”
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    Article
  2. 402

    Synergistic transcriptomic and metabolomic analyses in Zi geese ovaries with different clutch lengths by Shengjun Liu, Jiaxin Yin, Kexin Cong, Shan Yue, Yuanliang Zhang, Jinyan Sun, Xiaofang Ren, Ke Jiang, Yunuo Liu, Xiuhua Zhao

    Published 2025-07-01
    “…In summary, this study provides new insights into the genes and molecular markers affecting LCL in Zi geese.…”
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    Article
  3. 403

    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
    “…These findings enhance our understanding of how alfalfa tolerates atrazine stress and provide important insights for developing atrazine-tolerant varieties.…”
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    Article
  4. 404
  5. 405

    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
    “…This study aimed to identify hub biomarkers in SCM and explore their potential mechanisms.Methods: We utilized the GSE53007 and GSE207363 datasets for transcriptome analysis of normal and SCM mice. Hub biomarkers were identified through a protein–protein interaction (PPI) network and validated using LPS-treated C57/BL6 mice. …”
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    Article
  6. 406

    Combining Transcriptomics and Proteomics to Screen Candidate Genes Related to Bovine Birth Weight by Xiuyuan Wang, Ruili Liu, Zhenpeng Chen, Renzheng Zhang, Yanfang Mei, Xiuping Miao, Xuejin Bai, Yajuan Dong

    Published 2024-09-01
    “…Methods: We established transcriptome and proteome databases for low-birth-weight (LB) and high-birth-weight (HB) calf placentae, identifying key genes and proteins associated with birth weight through bioinformatics analyses that included functional enrichment and protein–protein interactions (PPIs). …”
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    Article
  7. 407

    Comparative Transcriptome Analysis of Two Types of Rye Under Low-Temperature Stress by Haonan Li, Jiahuan Zhao, Weiyong Zhang, Ting He, Dexu Meng, Yue Lu, Shuge Zhou, Xiaoping Wang, Haibin Zhao

    Published 2025-03-01
    “…By studying the differential responses of different rye varieties to low-temperature stress at the transcriptome level, we aim to identify key genes and regulatory mechanisms related to cold tolerance. …”
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    Article
  8. 408
  9. 409

    Transcriptomic profiling and bioinformatic insights into myocardial injury following aneurysmal subarachnoid hemorrhage by Zuoli Wu, Zuoli Wu, Wenbo He, Weihao Ye, Shang Xu, Shengwei Wei, Baozi Huang, Pingping Li, Yanyan Tang, Chao Qin, Ying Liu, Ziming Ye

    Published 2025-06-01
    “…Validation through qRT-PCR in an additional cohort of six subjects confirmed the differential expression of selected genes.ConclusionsThis study successfully constructed the RNA expression profiles in the blood of patients with aSAH-MI through transcriptome sequencing, identifying significant differentially expressed miRNAs, mRNAs, and lncRNAs. …”
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    Article
  10. 410

    Induced Sputum Transcriptomics Profile and Serum C3 are Associated with Asthma Severity by Du F, Wang H, Chen Z, Xiong W, Wang Q, Li B, Li R, Li L, Shen Y, Zhu T

    Published 2025-06-01
    “…Meanwhile, the AUC of ROC was 0.890 for serum C3 in asthma severity prediction, with the best cut-off of 1.272 g/L.Conclusion: Collectively, this study provides the first identification of the association between induced sputum cells transcriptomics profile and asthma severity, indicating the potential value of transcriptomics for asthma management. …”
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    Article
  11. 411

    Changes in texture and lignin during different developmental stages of mulberries and transcriptome analysis by WANG Binbin, DAI Xianglong, DU Kaiqun, SHEN Zixin, WANG Hui, GAO Yanxia

    Published 2025-08-01
    “…These findings would provide theoretical references for improving mulberry ripening, preservation, and flavor.…”
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    Article
  12. 412

    Investigating the Effect of Microcystins on the Transcriptomics of Hepatopancreas in Penaeus vannamei Using Reverse-Gavage by Haiqing YUAN, Rongsheng JIN, Baoran WANG, Daiqiang CHEN, Shuangyong ZHANG, Zhiqiang CHANG

    Published 2025-06-01
    “…The results of the transcriptome sequencing were validated using quantitative real-time PCR.MC-LR induced significant differential expression of 1 994 genes compared to the control group. …”
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    Article
  13. 413
  14. 414

    High quality transcriptome profiling confirms the transcriptional landscape of Treponema pallidum subsp. pallidum by Linda Grillová, Eli M. Carrami, William Roberts-Sengier, Nicholas R. Thomson

    Published 2025-07-01
    “…Our transcriptomic data also revealed, for the first time, the organization of genes into transcription units, an abundance of anti-sense RNAs, and transcripts from intergenic regions, providing crucial insights for future functional genomics studies of TPA.…”
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    Article
  15. 415

    Bridging the gap between R and Python in bulk transcriptomic data analysis with InMoose by Maximilien Colange, Guillaume Appé, Léa Meunier, Solène Weill, W. Evan Johnson, Akpéli Nordor, Abdelkader Behdenna

    Published 2025-05-01
    “…The first development phase has focused on bulk transcriptomic data, with current capabilities encompassing data simulation, batch effect correction, and differential analysis and meta-analysis.…”
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    Article
  16. 416

    Comparative transcriptome analysis of midgut of Bombyx mori under a sucrose-supplemented diet by Zhenbin Hu, Lijie Zhan, Xinyi Chen, Jia Li, Meirong Zhang, Pingzhen Xu

    Published 2025-05-01
    “…This study offers a comprehensive analysis of transcriptomic studies on high sucrose intake in silkworm, providing insights into the effects of varying sucrose concentrations on these organisms.…”
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    Article
  17. 417

    Transcriptomic analysis of male diamondback moth antennae: Response to female semiochemicals and allyl isothiocyanate. by Yueqin Zheng, Qianxia Liu, Houjun Tian, Hui Wei

    Published 2024-01-01
    “…These findings indicate significant changes in ODE expression levels, providing a molecular foundation for identifying potential targets for behavioral inhibitors.…”
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  18. 418
  19. 419

    Transcriptome and nutritional composition analysis of stacked transgenic maize with insect resistance and herbicide tolerance by Xiaoxing Yu, Hongyu Gao, Pengfei Wang

    Published 2025-12-01
    “…Currently, profiling methods like transcriptome are employed as supplemental analytical tools to find the unintended effects of transgenic crops. …”
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  20. 420

    Characterization of the Transcriptome of the Xerophyte Ammopiptanthus mongolicus Leaves under Drought Stress by 454 Pyrosequencing. by Tao Pang, Lili Guo, Donghwan Shim, Nathaniel Cannon, Sha Tang, Jinhuan Chen, Xinli Xia, Weilun Yin, John E Carlson

    Published 2015-01-01
    “…<h4>Conclusions</h4>The additional transcriptome resources, gene expression profiles, functional annotations, and candidate genes provide a more comprehensive understanding of the stress response pathways in xeric-adapted plant species such as A. mongolicus.…”
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