Showing 221 - 240 results of 3,180 for search 'different transcriptome', query time: 0.14s Refine Results
  1. 221

    The Exon-Based Transcriptomic Analysis of Parkinson’s Disease by Sulev Kõks

    Published 2025-03-01
    “…Blood-based whole transcriptome analysis of the longitudinal PPMI cohort was performed with a focus on the change in the expression of exons to find potential RNA-based biomarkers. …”
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    Blood transcriptomic associations of epigenetic age in adolescents by Dennis Khodasevich, Anne K Bozack, Saher Daredia, Julianna Deardorff, Kim G Harley, Brenda Eskenazi, Weihong Guo, Nina Holland, Andres Cardenas

    Published 2025-12-01
    “…Thirteen widely used epigenetic clocks were calculated, and their associations with transcriptome-wide RNA expression were tested using the limma-voom pipeline. …”
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  6. 226

    TauL1, TauL2 and TauL3 gene-pools of Aegilops tauschii essentially differ in their genetic expression patterns by Alexander Ju. Dudnikov, Gennady V. Vasiliev, Ming Hao, Deng-Cai Liu, Fan Xing, Mehdi Mansouri, Dmitry A. Afonnikov, Nikolay A. Shmakov

    Published 2024-10-01
    “…Aegilops tauschii is a wild diploid goat-grass which occupies a vast range in Central Eurasia and comprises three different gene-pools: TauL1, TauL2, and TauL3. Multivariate statistical analysis of the transcriptomes from the leaf tissue of 40 A. tauschii accessions, 18 of TauL1, 20 of TauL2, and 2 of TauL3, revealed that the gene-pools of A. tauschii distinctly and essentially differ in their genetic expression patterns. …”
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  7. 227

    Interaction between the liver transcriptome and gut microbiota in mice during Toxoplasma gondii infection as identified by integrated transcriptomic and microbiome analysis by Yang Zou, He Ma, Xing Yang, Xin-Yu Wei, Chao Chen, Jing Jiang, Tao Jiang

    Published 2025-03-01
    “…Then, we performed fecal 16S rRNA gene amplicon sequencing and RNA transcriptome sequencing to investigate the composition of the gut microbiota and the expression profiles of long non-coding RNAs (lncRNAs), circular RNAs (circRNAs), microRNAs (miRNAs), and messenger RNAs (mRNAs) in the livers of mice infected with T. gondii at different stages of infection. …”
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    Current status of transcriptome sequencing technology in ruminants by Cui JiaYu, Song Lili, Wang Dawei, Liu ZhiLin, Zhang Xin, Jia Zelin, Zhang Yuhang, Xiong Huisheng, Wang Xueli

    Published 2025-06-01
    “…Transcriptome sequencing can detect genes with low expression levels, identify new gene transcripts and alternative splicing events, detect and analyze the biological regulatory mechanisms of the body, reveal differences in gene expression levels during breeding, and reveal the interaction between hosts and pathogens. …”
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    Intracellular spatial transcriptomic analysis toolkit (InSTAnT) by Anurendra Kumar, Alex W. Schrader, Bhavay Aggarwal, Ali Ebrahimpour Boroojeny, Marisa Asadian, JuYeon Lee, You Jin Song, Sihai Dave Zhao, Hee-Sun Han, Saurabh Sinha

    Published 2024-09-01
    “…We showcase the toolkit on five different datasets representing two different cell lines, two brain structures, two species, and three different technologies. …”
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  14. 234

    Metabolome and transcriptome of Fu tea fermented by Aspergillus montevidensis by LI Jianmiao, DING Xiaowei, ZHANG Lixu, MA Xueni

    Published 2025-02-01
    “…In order to investigate the effect of Aspergillus montevidensis on the quality of Fu tea, the dark tea was fermented by inoculation with A. montevidensis, the metabolites in tea soup with different fermentation time was analyzed by ultra-high performance liquid chromatography quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF/MS), and the metabolome and transcriptome analysis were performed based on the results. …”
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  15. 235

    Dissection of transcriptome and metabolome insights into the polyphyllin biosynthesis in Paris by Ping Xu, Qi Mi, Xiaoye Zhang, Xuan Zhang, Mengwen Yu, Yingsi Gao, Xiheng Wan, Yichun Chen, Qiaoyuan Li, Jia Chen, Guowei Zheng

    Published 2025-02-01
    “…Abstract Background Polyphyllins are significant medicinal compounds found in Paris species, with different polyphyllins fulfilling distinct medicinal roles. …”
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  16. 236

    Integrating physiological and transcriptomic analyses at the single-neuron level by Haruya Yagishita, Takuya Sasaki

    Published 2025-05-01
    “…Neurons generate various spike patterns to execute different functions. Understanding how these physiological neuronal spike patterns are related to their molecular characteristics is a long-standing issue in neuroscience. …”
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  17. 237

    Full transcriptome analysis of early dorsoventral patterning in zebrafish. by Erika Fodor, Áron Zsigmond, Balázs Horváth, János Molnár, István Nagy, Gábor Tóth, Stephen W Wilson, Máté Varga

    Published 2013-01-01
    “…A combination of different statistical approaches yielded 41 differentially expressed candidate genes and we confirmed by in situ hybridization the early dorsal expression of 32 genes that are transcribed shortly after the onset of zygotic transcription. …”
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  18. 238

    Network architecture of transcriptomic stress responses in zebrafish embryos. by Kaylee Beine, Lauric Feugere, Alexander P Turner, Katharina C Wollenberg Valero

    Published 2025-06-01
    “…Across treatments, differentially expressed genes in different parts of the network affected identical phenotypes. …”
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  19. 239

    Comparative transcriptomics of pathogenic and non‐pathogenic Listeria species by Omri Wurtzel, Nina Sesto, J R Mellin, Iris Karunker, Sarit Edelheit, Christophe Bécavin, Cristel Archambaud, Pascale Cossart, Rotem Sorek

    Published 2012-05-01
    “…We used strand‐specific cDNA sequencing to produce genome‐wide transcription start site maps for both organisms, and developed a publicly available integrative browser to visualize and analyze both transcriptomes in different growth conditions and genetic backgrounds. …”
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  20. 240

    Comprehensive transcriptome of muscle development in Sichuan white rabbit by Xiangyu Zhang, Kai Zhang, Dengping Huang, Shangjun Yang, Min Zhang, Qin Yin

    Published 2025-04-01
    “…Results We generated extensive transcriptome datasets (mRNAs, miRNAs and lncRNAs) revealing the myogenic regulatory network at different time points. …”
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