Showing 401 - 420 results of 483 for search '"omics"', query time: 0.07s Refine Results
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    A simple and efficient method to extract polar metabolites from guar leaves (Cyamopsis tetragonoloba (L.) Taub.) for GC-MS metabolome analysis by S. B. Teplyakova, A. L. Shavarda, T. V. Shelenga, E. A. Dzyubenko, E. K. Potokina

    Published 2019-02-01
    “…Due to the progress of “omics” technologies and the marker-assisted selection, there is a huge interest in the studies that compare the metabolites of various guar varieties, employing metabolomics as a method of functional genomics. …”
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    Article
  4. 404

    Genetic context modulates aging and degeneration in the murine retina by Olivia J. Marola, Michael MacLean, Travis L. Cossette, Cory A. Diemler, Amanda A. Hewes, Alaina M. Reagan, Jonathan Nyandu Kanyinda, Daniel A. Skelly, Gareth R. Howell

    Published 2025-01-01
    “…Conclusions Genetic context is a strong determinant of retinal aging, and our multi-omics resource can aid in understanding age-related diseases of the eye and brain. …”
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    Article
  5. 405

    Multi-ancestry genome-wide association analyses: a comparison of meta- and mega-analyses in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study by Alan Kuang, Marie-France Hivert, M. Geoffrey Hayes, William L. Lowe, Denise M. Scholtens

    Published 2025-01-01
    “…For the heterogeneous ancestry mega-analysis pipeline, data for all individuals were collectively imputed to the Trans-Omics for Precision Medicine (TOPMed) cosmopolitan reference panel, and GWAS was conducted using a unified mega-analysis. …”
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    Article
  6. 406

    Identification of TUBB3 as an immunotherapy target in lung cancer by genome wide in vivo CRISPR screening by Dan Zhao, Ravindra Deshpande, Kerui Wu, Abhishek Tyagi, Sambad Sharma, Shih-Ying Wu, Fei Xing, Stacey O'Neill, Jimmy Ruiz, Feng Lyu, Kounosuke Watabe

    Published 2025-02-01
    “…We integrated our results with multi-omics clinical data and performed both in vitro and in vivo assays to evaluate the role of the top candidate in regulating cytotoxic T cell killing. …”
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    Article
  7. 407

    Pan-cancer characterization of m6A-mediated regulation of T cell exhaustion dynamics and clinical relevancies in human cancers by Weiping Ji, Ye Fang, Liwei Chen, Yitong Zheng, Yifei Pei, Changqiu Mei, Meng Zhou

    Published 2025-03-01
    “…Here, we conducted a pan-cancer analysis integrating multi-omics data from cell lines, single-cell RNA sequencing, and pan-cancer and immunotherapy datasets to explore the dynamic interplay between m6A modification and TEX. …”
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    Article
  8. 408

    Global trends and research frontiers on machine learning in sustainable animal production in times of climate change: Bibliometric analysis aimed at insights and orientations for t... by Robson Mateus Freitas Silveira, Concepta Mcmanus, Iran José Oliveira da Siva

    Published 2025-06-01
    “…The main insights generated in the bibliometric analysis were (i) sustainable animal production changed from unidisciplinary science to multidisciplinary science linked to agricultural, environmental and engineering sciences, mainly to genetics and computing; (ii) the concept of sustainable animal production emerged from animal welfare and climate change concepts found in UN's 2030 Agenda; (iii) omics sciences, greenhouse gases, energy efficiency and animal welfare are the main keywords for bibliometric analyses in future studies related to sustainable animal production in the coming centuries; (iii) prediction and classification analyses, i.e., supervised machine learning models used as main tools in animal production; (iv) residual feed intake applied to measure sustainable feed efficiency in animal farming in the past and nowadays; and (v) The United States, China, Brazil and Australia are the main countries publishing studies on sustainability in animal production, but only China has been gaining prominence in publications in this field, in recent years, and it will turn this country into an emerging leader in future publications on this topic. …”
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  9. 409

    Comprehensive pan-cancer analysis reveals NTN1 as an immune infiltrate risk factor and its potential prognostic value in SKCM by Fuxiang Luan, Yuying Cui, Ruizhe Huang, Zhuojie Yang, Shishi Qiao

    Published 2025-01-01
    “…This study aimed to elucidate the role of NTN1 in pan-cancer using multi-omics data and explore its potential as a prognostic biomarker in SKCM. …”
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    Article
  10. 410

    Characterizing immune biomarkers and effector CD8+ T-cell exhaustion in pancreatic adenocarcinoma via single-cell RNA sequencing profiling by Rawaa AlChalabi, Raghda Makia, Semaa A. Shaban, Ahmed AbdulJabbar Suleiman

    Published 2025-01-01
    “…Methods: We employed a multi-omics approach, integrating single-cell RNA sequencing data with whole genome sequencing to identify dysregulated exhaustion-related immune markers in CD8+ T-cells in PDAC. …”
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    Article
  11. 411

    High interstitial fluid pressure enhances USP1-dependent KIF11 protein stability to promote hepatocellular carcinoma progression by Zhengyi Wu, Chao Li, Shouhua Zhang, Liang Sun, Junwen Hu, Bingbing Qiu, Shuiqiu Liu, Yiran Hong, Tianxiang Chen, Kai Wang, Xiangbao Yin, Jinlong Yan

    Published 2025-01-01
    “…Results Results demonstrated that the HIFP environment significantly increased the proliferation, invasion, and metastasis in HCC cells. Omics analysis and subsequent molecular validation revealed that KIF11 protein levels were markedly upregulated under HIFP, despite no significant change in mRNA levels. …”
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    Article
  12. 412

    Insufficient gene expression and lost gene regulatory network may underlie the mechanism of Hirschsprung Disease in 5p–syndrome by Yizhao Luan, Peng Li, Yuanyuan Luo, Hong Zhang, Xiaochun Zhu, Yan Zhang, Aihua Yin, Qiang Wu, Chengwei Chai

    Published 2025-02-01
    “…On the other hand, integrating gene regulatory relationship estimated from single cell chromatin accessibility omics of enteric neurons, we found that the 5p deletion regions contained key cis-regulatory regions for HSCR-related gene GDNF. …”
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    Article
  13. 413

    From chaos to order: optimizing fecal microbiota transplantation for enhanced immune checkpoint inhibitors efficacy by Anqi Lin, Aimin Jiang, Lihaoyun Huang, Yu Li, Chunyanx Zhang, Lingxuan Zhu, Weiming Mou, Zaoqu Liu, Jian Zhang, Quan Cheng, Ting Wei, Peng Luo

    Published 2025-12-01
    “…We outline critical research directions, encompassing the need for large-scale, multi-center randomized controlled trials, in-depth microbial ecology studies, and the integration of multi-omics approaches with artificial intelligence. Regulatory and ethical challenges are critically addressed, underscoring the imperative for standardized protocols and rigorous long-term safety assessments. …”
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    Article
  14. 414

    ITGA4 as a potential prognostic and immunotherapeutic biomarker in human cancer and its clinical significance in gastric cancer: an integrated analysis and validation by Jiaxing Zhang, Jiaxing Zhang, Gang Wang, Jie Liu, Futian Tang, Song Wang, Yumin Li, Yumin Li

    Published 2025-02-01
    “…However, its role across different cancer types is not well understood.MethodsUtilizing multi-omics data, we comprehensively evaluated ITGA4’s expression, clinical relevance, diagnostic and prognostic value, functions, mutations, and methylation status, along with its impact on immunity, mismatch repair (MMR), heterogeneity, stemness, immunotherapy responsiveness, and drug resistance in pan-cancer, with partial validation in gastric cancer (GC) using transcriptomic analysis, single-cell data, western blot (WB), wound-healing assay, flow cytometry and immunohistochemistry (IHC). …”
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    Single-Cell RNA Sequencing Reveals LEF1-Driven Wnt Pathway Activation as a Shared Oncogenic Program in Hepatoblastoma and Medulloblastoma by Christophe Desterke, Yuanji Fu, Jenny Bonifacio-Mundaca, Claudia Monge, Pascal Pineau, Jorge Mata-Garrido, Raquel Francés

    Published 2025-01-01
    “…Both tumor types can exhibit genetic alterations that affect the β-catenin and Wnt pathways; (2) Materials and Methods: This study used bioinformatics and integrative analysis of multi-omics data at both the tumor and single-cell levels to investigate two distinct pediatric tumors: medulloblastoma and hepatoblastoma; (3) Results: The cross-transcriptome analysis revealed a commonly regulated expression signature between hepatoblastoma and medulloblastoma tumors. …”
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    Using Quantitative Trait Locus Mapping and Genomic Resources to Improve Breeding Precision in Peaches: Current Insights and Future Prospects by Umar Hayat, Cao Ke, Lirong Wang, Gengrui Zhu, Weichao Fang, Xinwei Wang, Changwen Chen, Yong Li, Jinlong Wu

    Published 2025-01-01
    “…This work shows how combining genome-wide association studies and machine learning can improve the synthesis of multi-omics data and result in faster breeding cycles while preserving genetic diversity. …”
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    Article