Showing 301 - 320 results of 3,180 for search 'different transcriptome', query time: 0.12s Refine Results
  1. 301
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    The interplay between epigenomic and transcriptomic variation during ecotype divergence in stickleback by Man Luo, Junjie Zhao, Juha Merilä, Rowan D. H. Barrett, Baocheng Guo, Juntao Hu

    Published 2025-03-01
    “…Conclusions Our results suggest a nuanced relationship between epigenomic and transcriptomic processes, with alignment at the genome-wide level masking relatively independent effects of different molecular mechanisms on ecotype divergence at the gene level.…”
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    Article
  3. 303

    Intergeneric and interspecific relationships in tribe Ricineae revealed by phylogenomics of the plastome and transcriptome by Wen-Xiang Liu, Wen-Xiang Liu, Guo-Bo Li, Guo-Bo Li, Zhuo Zhou, Jia-Fu Chen, An-Min Yu, Ai-Zhong Liu, Bin Tian, Bin Tian, Jun-Wei Ye

    Published 2025-05-01
    “…The three genera formed a well-supported monophyletic lineage, confirmed by different genomic data using different methods. Discocleidion and Ricinus were supported to be closely related. …”
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  4. 304

    A Guide to Basic RNA Sequencing Data Processing and Transcriptomic Analysis by Rowayna Shouib, Gary Eitzen, Rineke Steenbergen

    Published 2025-05-01
    “…RNA sequencing (RNA-Seq) has transformed transcriptomic research, enabling researchers to perform large-scale inspection of mRNA levels in living cells. …”
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    Article
  5. 305
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    Integrated metabolomic and transcriptomic analysis provides insights into the browning of walnut endocarps by Yifeng Wang, Mingxia Wang, Yaonian Chen, Wenbin Hu, Shuling Zhao

    Published 2025-05-01
    “…In the present study, to elucidate the molecular mechanism of walnut endocarp browning, analyses of the ultrastructure, physiological characteristics, and transcriptomic and metabolomic data of walnut endocarps at different storage periods were performed. …”
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    Article
  7. 307

    Organoids as powerful models of endometrium epithelium in transcriptomic, cellular and functional mimicry by Martina Ciprietti, Celine Bueds, Hugo Vankelecom, Joris Vriens

    Published 2025-07-01
    “…A comprehensive overview of the transcriptomic changes during the menstrual cycle is provided, as well as of the detailed comparison between the different cell populations of the endometrium and the endometrial organoid model. …”
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    Article
  8. 308

    Spatial transcriptomics in autoimmune rheumatic disease: potential clinical applications and perspectives by Atsuko Tsujii Miyamoto, Hiroshi Shimagami, Atsushi Kumanogoh, Masayuki Nishide

    Published 2025-02-01
    “…In the field of rheumatology, the complex and elusive pathophysiology of diseases such as rheumatoid arthritis, systemic lupus erythematosus, and Sjögren’s syndrome remains a challenge for personalized treatment. Spatial transcriptomics provides insights into how different cell populations interact within disease foci, such as the synovial tissue, kidneys, and salivary glands. …”
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    Article
  9. 309

    Multidimensional Transcriptomics Reveals the Key Genes and Pathways Regulating the Acidity of Apples by Wenyuan Yang, Hang Yu, Lian Tao, Hongjiang Xie

    Published 2025-05-01
    “…In this multidimensional regulatory study, we used transcriptome sequencing, cluster analysis, and weighted gene co-expression network analysis (WGCNA) to reveal that differentially expressed genes are enriched in multiple pathways affecting fruit acidity during apple development; malate dehydrogenase (MDH) affects the malic acid content of fruits of different varieties; and H<sup>+</sup>-ATPase (VHA) mainly regulates the content of vacuolar organic acids, which affects fruit acidity. …”
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  10. 310

    RIDDEN: Data-driven inference of receptor activity from transcriptomic data. by Szilvia Barsi, Eszter Varga, Daniel Dimitrov, Julio Saez-Rodriguez, László Hunyady, Bence Szalai

    Published 2025-06-01
    “…We collected 14463 perturbation gene expression profiles for 229 different receptors. Using these data, we trained the RIDDEN model, which can effectively predict receptor activity for new bulk and single-cell transcriptomics datasets. …”
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  11. 311

    Cross study transcriptomic investigation of Alzheimer’s brain tissue discoveries and limitations by Fernando Koiti Tsurukawa, Yixiang Mao, Cesar Sanchez-Villalobos, Nishtha Khanna, Chiquito J. Crasto, J. Josh Lawrence, Ranadip Pal

    Published 2025-05-01
    “…Abstract Developing effective treatments for Alzheimer’s disease (AD) likely requires a deep understanding of molecular mechanisms. Integration of transcriptomic datasets and developing innovative computational analyses may yield novel molecular targets with broad applicability. …”
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    Integrated Metabolomic and Transcriptomic Analysis Revealed the Mechanism of BHPF Exposure in Endometrium by Xin Tan, Nengyong Ouyang, Wenjun Wang, Junting Qiu

    Published 2025-01-01
    “…Here, we investigated the effects of exposure to different concentrations of BHPF on endometrial cells and used integrated metabolomic and transcriptomic methods to elucidate the underlying molecular mechanisms. …”
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    New Insights in the Sugarcane Transcriptome Responding to Drought Stress as Revealed by Supersage by Éderson Akio Kido, José Ribamar Costa Ferreira Neto, Roberta Lane de Oliveira Silva, Valesca Pandolfi, Ana Carolina Ribeiro Guimarães, Daniela Truffi Veiga, Sabrina Moutinho Chabregas, Sérgio Crovella, Ana Maria Benko-Iseppon

    Published 2012-01-01
    “…The present report analyzes the sugarcane transcriptome under drought stress, using a combination of high-throughput transcriptome profiling by SuperSAGE with the Solexa sequencing technology, allowing the identification of potential target genes during the stress response.…”
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  17. 317

    Transcriptome Profiling Identifies Key Regulators of Tuber Skin Color in Potato by Boshu Li, Shuo Wang, Jun Hu, Liping Jin, Jianfei Xu

    Published 2025-05-01
    “…The color of tuber skin exhibits remarkable diversity in potato (<i>Solanum tuberosum</i> L.) and is intricately associated with variance in anthocyanin accumulation across different varieties. The regulatory mechanisms governing this phenomenon are poorly understood. …”
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  18. 318

    Transcriptome sequencing of Antheraea pernyi antennae for identification of olfactory-related genes by Xueting Liu, Shuwei Ma, Xinxue Zhang, Xue Li, Lei Nie, Guobao Wang

    Published 2025-05-01
    “…Results Based on the datasets, 1184 differently expressed genes (DEGs), including 484 upregulated and 700 downregulated genes, were identified by comparing the transcriptome profiles of the male and female antennae of A. pernyi. …”
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  19. 319

    Transcriptome atlas of Striga germination: Implications for managing an intractable parasitic plant by Gilles Irafasha, Sylvia Mutinda, Fredrick Mobegi, Brett Hale, George Omwenga, Asela J. Wijeratne, Susann Wicke, Emily S. Bellis, Steven Runo

    Published 2025-03-01
    “…To further understand the genetic basis of the communication exchange between Striga and its host sorghum, we performed a comparative transcriptomic analysis. We sought to identify major transcriptomic changes that define the germination process in Striga and a set of genes that may contribute to the differences in germination rates. …”
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  20. 320

    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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