Showing 481 - 500 results of 626 for search '"omics"', query time: 0.05s Refine Results
  1. 481
  2. 482
  3. 483

    ISCAZIM: Integrated statistical correlation analysis for zero-inflated microbiome data by Zhe Fan, Jiali Lv, Shuai Zhang, Bingbing Gu, Cheng Wang, Tao Zhang

    Published 2025-01-01
    “…Therefore, ISCAZIM will significantly facilitate the association analysis using zero-inflated microbiome data for multi-omics integration.…”
    Get full text
    Article
  4. 484

    Genetic insight into dissecting the immunophenotypes and inflammatory profiles in the pathogenesis of Sjogren syndrome by Jingyi Xu, Shucheng Si, Yijun Han, Lin Zeng, Jinxia Zhao

    Published 2025-01-01
    “…Methods Our study leveraged the genetic variants of multi-omics statistics extracted from genome-wide association study (GWAS), the University of Bristol and the FinnGen study. …”
    Get full text
    Article
  5. 485

    The Influence of Physical Activity on Inflammatory Markers, Intestinal Microbiota Composition and Disease Activity in Inflammatory Bowel Disease by Paulina Jakubczyk, Piotr Widera, Justyna Helis, Maciej Michalik, Aleksandra Buczek, Hubert Bigajski, Aleksandra Banaś, Olga Bilczewska, Wiktoria Janik, Marta Handschuh

    Published 2025-01-01
    “…Future research should focus on longitudinal studies, advanced omics technologies, and combined approaches with dietary and pharmacological therapies. …”
    Get full text
    Article
  6. 486

    Characterization of flavor fingerprinting of red sufu during fermentation and the comparison of volatiles of typical products by Peng Wang, Xiaoran Ma, Wenping Wang, Dandan Xu, Xin Zhang, Jian Zhang, Yong Sun

    Published 2019-12-01
    “…Keywords: Red sufu, Fermentation process, Volatile compounds, HS-SPME-GC–MS, Flavor omics…”
    Get full text
    Article
  7. 487
  8. 488

    Enhancing immunotherapy efficacy in colorectal cancer: targeting the FGR-AKT-SP1-DKK1 axis with DCC-2036 (Rebastinib) by Xiguang Chen, Qiting Zeng, Liyang Yin, Bingru Yan, Chen Wu, Jianbo Feng, Ying Wu, Jun He, Wenjun Ding, Jing Zhong, Yingying Shen, Xuyu Zu

    Published 2025-01-01
    “…Through comprehensive multi-omics investigations, significant shifts in both gene and protein expression profiles were detected, notably a marked decrease in DKK1 levels. …”
    Get full text
    Article
  9. 489

    Skin Microbiota: Mediator of Interactions Between Metabolic Disorders and Cutaneous Health and Disease by Magdalini Kreouzi, Nikolaos Theodorakis, Maria Nikolaou, Georgios Feretzakis, Athanasios Anastasiou, Konstantinos Kalodanis, Aikaterini Sakagianni

    Published 2025-01-01
    “…Furthermore, machine learning models are increasingly used to integrate multi-omics data, enabling personalized interventions. …”
    Get full text
    Article
  10. 490

    Identification of key genes affecting intramuscular fat deposition in pigs using machine learning models by Yumei Shi, Yumei Shi, Xini Wang, Shaokang Chen, Yanhui Zhao, Yan Wang, Xihui Sheng, Xiaolong Qi, Lei Zhou, Yu Feng, Jianfeng Liu, Chuduan Wang, Kai Xing

    Published 2025-01-01
    “…Machine learning (ML) is a new big data fitting method that can effectively fit complex data, accurately identify samples and genes, and it plays an important role in omics research. Therefore, this study aimed to analyze RNA-seq data by ML method to identify differentially expressed genes (DEGs) affecting IMF deposition in pigs. …”
    Get full text
    Article
  11. 491

    The GWAS-MAP platform for aggregation of results of genome-wide association studies and the GWAS-MAP|homo database of 70 billion genetic associations of human traits by T. I. Shashkova, D. D. Gorev, E. D. Pakhomov, A. S. Shadrina, S. Zh. Sharapov, Y. A. Tsepilov, L. C. Karssen, Y. S. Aulchenko

    Published 2020-12-01
    “…The database currently contains information on more than 70 billion associations between genetic variants and human diseases, quantitative traits, and “omics” traits. The GWAS-MAP platform and database can be used for studying the etiology of human diseases, building predictive risk models and finding potential biomarkers and therapeutic interventions. …”
    Get full text
    Article
  12. 492
  13. 493

    Integrating Metabolomics and Genomics to Uncover the Impact of Fermented Total Mixed Ration on Heifer Growth Performance Through Host-Dependent Metabolic Pathways by Zhenzhen Hu, Minyu Zuo, Shixuan Ding, Yifan Zhong, Mingyuan Xue, Huichao Zheng

    Published 2025-01-01
    “…In conclusion, feeding HSF and ZF FTMR enhances glutathione metabolism and antioxidant capacity in heifers, positioning key metabolites as candidates for ADG markers. This integrative omics approach underscores the potential for enhancing livestock productivity and promoting sustainable agricultural practices.…”
    Get full text
    Article
  14. 494

    Bifidobacterium animalis Probio-M8 improves sarcopenia physical performance by mitigating creatine restrictions imposed by microbial metabolites by Zeng Zhang, Yajing Fang, Yangli He, Mohamed A. Farag, Min Zeng, Yukai Sun, Siqi Peng, Shuaiming Jiang, Xian Zhang, Kaining Chen, Meng Xu, Zhe Han, Jiachao Zhang

    Published 2024-12-01
    “…We analyzed 43 subjects, including gut microbiome, fecal metabolome, and serum metabolome, using a multi-omics approach to assess whether Probio-M8 can improve sarcopenia by modulating gut microbial metabolites. …”
    Get full text
    Article
  15. 495

    The Progression of Mycosis Fungoides During Treatment with Mogamulizumab: A BIO-MUSE Case Study of the Tumor and Immune Response in Peripheral Blood and Tissue by Angelica Johansson, Eirini Kalliara, Emma Belfrage, Teodor Alling, Paul Theodor Pyl, Anna Sandström Gerdtsson, Urban Gullberg, Anna Porwit, Kristina Drott, Sara Ek

    Published 2025-01-01
    “…Here, we report on a case study involving one patient, where combined omics analysis of tissue and blood was used to reveal the unique molecular features associated with the progression of the disease. …”
    Get full text
    Article
  16. 496
  17. 497

    DHX37 Impacts Prognosis of Hepatocellular Carcinoma and Lung Adenocarcinoma through Immune Infiltration by Yanni Xu, Qiongchao Jiang, Hejun Liu, Xiaoyun Xiao, Dinghong Yang, Phei Er Saw, Baoming Luo

    Published 2020-01-01
    “…Coexpression genes, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG), and fundamental regulators were performed via LinkedOmics. Confirming the prognostic value of DHX37 in liver hepatocellular carcinoma (LIHC) and lung adenocarcinoma (LUAD), we explored the role of DHX37 in infiltrated lymphocytes in cancers using the Gene Expression Profiling Interactive Analysis (GEPIA) and TIMER databases. …”
    Get full text
    Article
  18. 498

    Integrated Analysis of Metatranscriptome and Amplicon Sequencing to Reveal Distinctive Rhizospheric Microorganisms of Salt-Tolerant Rice by Wenna Meng, Zhenling Zhou, Mingpu Tan, Anqi Liu, Shuai Liu, Jiaxue Wang, Zhiguang Sun, Yiluo Tan, Yan Liu, Baoxiang Wang, Yanming Deng

    Published 2024-12-01
    “…The interaction network of DEGs and microbial taxa revealed upregulation of transporters, transcriptional factors, and chaperones, such as ABC transporters and chaperonin GroEL, in the rhizosphere microbiomes of salt-tolerant varieties. Our multi-omics network analysis unveiled that fungi like <i>Ceriosporopsis</i> and <i>Dirkmeria</i>, along with bacteria such as <i>Desulfoprunum</i>, <i>Rippkaea</i>, and <i>Bellilinea</i>, showed a positive correlation with flavonoid synthesis in salt-tolerant rice. …”
    Get full text
    Article
  19. 499

    Mapping Nanoscale‐To‐Single‐Cell Phosphoproteomic Landscape by Chip‐DIA by Gul Muneer, Sofani Tafesse Gebreyesus, Ciao‐Syuan Chen, Tzu‐Tsung Lee, Fengchao Yu, Chih‐An Lin, Min‐Shu Hsieh, Alexey I. Nesvizhskii, Chao‐Chi Ho, Sung‐Liang Yu, Hsiung‐Lin Tu, Yu‐Ju Chen

    Published 2025-01-01
    “…With flexibility in module design and functionalization, Chip‐DIA can be adapted to other PTM‐omics to explore dysregulated PTM landscapes, thereby guiding therapeutic strategies toward precision oncology.…”
    Get full text
    Article
  20. 500

    Novel protein-based prognostic signature linked to immunotherapeutic efficiency in ovarian cancer by Shuo-Fu Chen, Liang-Yun Wang, Yi-Sian Lin, Cho-Yi Chen

    Published 2024-09-01
    “…While conventional clinicopathological factors have exhibited limited efficacy as prognostic indicators in ovarian cancer, multi-omics profiling presents a promising avenue for comprehending the interplay between the tumor and immune components. …”
    Get full text
    Article