Showing 181 - 200 results of 1,867 for search 'while transcriptome analysis', query time: 0.13s Refine Results
  1. 181

    Responses of rice plant to multiple abiotic stresses revealed by transcriptome meta-analysis and identification of novel genetic factors by Asadollah Ahmdikhah, Mehdi Safaeizadeh, Alireza S. Tehranian

    Published 2025-03-01
    “…Several tolerant rice varieties were subjected to drought, salt and cold stresses and their transcriptomic responses were evaluated using affymetrix probe set. …”
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  2. 182

    The short-term effect of nitrogen and phosphorus fertilizers on cold resistance in Urtica cannabina based on transcriptomics and metabolomics analysis by Siqi Liu, Xiaoxue Zhang, Guorui Zhang, Jinmei Zhao, Xiaoqing Zhang, Xiaoqing Zhang

    Published 2025-05-01
    “…Transcriptomics and metabolomics analysis revealed that applying nitrogen and phosphorus fertilizers tended to involve several critical regulatory pathways in the biosynthesis of secondary metabolites, flavonoid biosynthesis, and phenylpropanoid biosynthesis pathways. …”
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  3. 183

    Integrated transcriptome profiling and in vitro analysis reveals MLN4924’s role in inducing ferroptosis in acute myeloid leukemia by Jinli Jian, Yuancheng Guo, Xiao Tang, Long Zhao, Bei Liu

    Published 2025-12-01
    “…In vivo efficacy was evaluated in NOD/SCID mice bearing AML xenografts treated with MLN4924, followed by tumor tissue analysis of GSH and Fe2+ levels, immunohistochemistry (IHC), and Western blotting for SLC7A11/GPX4 axis components.Results: Transcriptome sequencing and bioinformatics analyses identified SLC7A11 and GPX4 as key MLN4924 target genes, both of which are glutathione-related proteins. …”
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    Machine learning-assisted multi-dimensional transcriptomic analysis of cytoskeleton-related molecules and their relationship with prognosis in hepatocellular carcinoma by Yuxuan Li, Mingbo Cao, Xiaorui Su, Gaoyuan Yang, Yupeng Ren, Zhiwei He, Zheng Shi, Ziyi Hu, Guirong Liang, Qi Zhang, Zhicheng Yao, Meihai Deng

    Published 2025-07-01
    “…Single-cell sequencing (scRNA-seq) and spatial transcriptomics analyses explored the expression and functional roles of key genes, while drug screening and molecular docking identified potential therapeutic agents, followed by in vitro and in vivo validation. …”
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    Next Generation Aqueous Two‐Phase System for Gentle, Effective, and Timely Extracellular Vesicle Isolation and Transcriptomic Analysis by Boyang Su, Morteza Jeyhani, Gobi Thillainadesan, Minzhi Sheng, Reese Wunsche, Thamara Dayarathna, Kristin Cimolai, Hanyi Weng, Katarzyna J. Jerzak, Stanley K. Liu, Scott S. H. Tsai, Hon S. Leong

    Published 2025-03-01
    “…The use of dextranase also enables more accurate immunoreactivity of pre‐conjugated antibodies for the detection of EVs by nFC. Transcriptomic analysis of EVs isolated using the next‐gen ATPS revealed a strong overlap in microRNA (miRNA), circular RNA (circRNA) and small nucleolar RNA (snoRNA) profiles with EV donor cells, as well as EVs isolated by UC and the exoRNeasy kit, while detecting a superior number of circRNAs compared to the kit in human samples. …”
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    Comparative transcriptomic and genomic analysis of tumor cells in the marginal and center regions of tumor nests in human hepatocellular carcinoma by Ziyi Li, Ziyi Li, Yikai Hu, Yikai Hu, Zhuotian He, Heyi Xu, Hongyang Wang, Hongyang Wang, Hongyang Wang, Yufei He

    Published 2025-07-01
    “…However, the biological characteristics and heterogeneity of tumor cells at the central and marginal regions of these tumor nests remain poorly understood.MethodBased on pathological tissue sections, data integration and dimensionality reduction, we defined the boundaries and centers of tumor nests and fibrous nodules within 19 spatial transcriptomics (ST) samples from 8 HCC patients. Differential gene expression was analyzed at the single-unit, sample, patient, and pseudobulk levels, followed by Gene Ontology (GO) enrichment analysis. …”
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    Transcriptome sequencing–based analysis of the molecular mechanism underlying the effect of lncRNA AC003090.1 on osteoporosis by Huafeng Zhuang, Yongjun Lin, Chengye Lin, Miao Zheng, Yizhong Li, Xuedong Yao, Youjia Xu

    Published 2025-04-01
    “…Among these, 1,482 were significantly up-regulated, and 620 were significantly down-regulated, while 1,146 were significantly up-regulated and 1,681 were significantly down-regulated. …”
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  16. 196

    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
    “…A total of 18,138 differentially expressed genes (DEGs), including 1470 transcription factors (TFs). Further analysis of the expression of hormone biosynthesis- and signal transduction-related genes revealed that most of the genes in the salicylic acid (SA), jasmonic acid (JA) and ethylene (ET) biosynthesis pathways were highly expressed in Hai7124; the expression of SA and JA biosynthesis genes began to be significantly upregulated in the early stage of Verticillium wilt stress, while the expression of ET biosynthesis genes was upregulated mainly in the later stage. …”
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  17. 197

    Unraveling breast cancer response to neoadjuvant chemotherapy through integrated genomic, transcriptomic, and circulating tumor DNA analysis by Menghao Dong, Jian Chen, Nannan Lu, Song Wang, Wenhui Wei, Ziming Wang, Jinnan Wang, Jinguo Zhang, Xinghua Han, Fufeng Wang, Qiuxiang Ou, Hua Bao, Xiaopeng Ma, Benjie Shan, Yueyin Pan

    Published 2025-05-01
    “…Responsive tumors exhibited immune activation and downregulated PI3K-Akt and AGE-RAGE pathways, while non-pCR tumors showed reduced cytokine and immune receptor activity. …”
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  18. 198

    Root Transcriptome Analysis Identifies Salt-Tolerance Genes in Sweet Corn Chromosome Segment Substitution Lines (CSSLs) by Zili Zhang, Xuxuan Duan, Pengfei Liu, Qingchun Chen, Wei Sun, Xiaorong Wan, Yixiong Zheng, Jianting Lin, Feng Jiang, Faqiang Feng

    Published 2025-05-01
    “…We conducted comparative phenotyping and physiological profiling of seedlings under salinity treatment, and transcriptome analysis was carried out by sampling root tissues at 0 h, 4 h, 12 h, and 72 h post-treatment. …”
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