Showing 541 - 560 results of 706 for search '"proteomes"', query time: 0.06s Refine Results
  1. 541
  2. 542

    Genome Structure of Bacillus cereus tsu1 and Genes Involved in Cellulose Degradation and Poly-3-Hydroxybutyrate Synthesis by Hui Li, Suping Zhou, Terrance Johnson, Koen Vercruysse, Ouyang Lizhi, Parthasarathy Ranganathan, Nsoki Phambu, Alexander J. Ropelewski, Theodore W. Thannhauser

    Published 2017-01-01
    “…The cellulolytic activity of tsu1 was detected using carboxymethylcellulose (CMC) plate Congo red assay and the shift towards low-molecular size forms of CMC revealed by gel permeation chromatography in CMC liquid culture and the identification of a cellulase in the secreted proteome.…”
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    Article
  3. 543

    Identification of CDKN3 overexpression as a marker of poor prognosis and potential therapeutic target in low-grade glioma by Hongbing Cheng, Xiao Meng, Yanhua Zhang, Pu Wang, Yucheng Lu

    Published 2025-01-01
    “…Through in vitro and in vivo experiments, we confirmed that CDKN3 silencing significantly inhibited the proliferative capacity of LGG cells. Proteomics revealed that CDKN3 can bind ARG1 and inhibite the intracellular arginase activity. …”
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    Article
  4. 544

    MSC-EXs inhibits uranium nephrotoxicity by competitively binding key proteins and inhibiting ROS production by Xinrui Yang, Jing Liu, Yaru Yin, Luxun Yang, Mingquan Gao, Zifei Wu, Binghui Lu, Shenglin Luo, Weidong Wang, Rong Li

    Published 2025-01-01
    “…Notably, the protective effects of MSC-EXs exceed those of MSCs and are comparable to those of sodium bicarbonate, as confirmed by various analytical techniques. Proteomic studies have shown that MSC-EXs reduce uranyl ion deposition in renal tubule cells through competitive binding with transferrin, osteopontin, and albumin. …”
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    Article
  5. 545

    Profiling the Secretome of Glioblastoma Cells Under Histone Deacetylase Inhibition Using Mass Spectrometry by Aline Menezes, Yara Martins, Fábio Nogueira, Denise De Abreu Pereira, Katia Carneiro

    Published 2025-02-01
    “…A label-free, mass spectrometry–based quantitative proteomics has been developed to identify and characterize proteins that are differentially expressed in GBM to gain a better understanding of the interactions and functions that lead to the pathological state focusing on the extracellular matrix (ECM). …”
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    Article
  6. 546

    Emodin Ameliorates Intestinal Dysfunction by Maintaining Intestinal Barrier Integrity and Modulating the Microbiota in Septic Mice by Mina Zhang, Bo Lian, Rui Zhang, Yuhong Guo, Jingxia Zhao, Shasha He, Yunjing Bai, Ning Wang, Yan Lin, Xuerui Wang, Qingquan Liu, Xiaolong Xu

    Published 2022-01-01
    “…Intestinal barrier function was also improved by emodin through enhancing ZO-1 and occludin expression, which prevented the secondary translocation of Escherichia coli. By proteome microarray investigation, JNK2 was identified as a direct target of emodin. …”
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    Article
  7. 547

    Profiling Proteins in the Hypothalamus and Hippocampus of a Rat Model of Premenstrual Syndrome Irritability by Mingqi Qiao, Peng Sun, Yang Wang, Sheng Wei, Xia Wei, Chunhong Song, Fushun Wang, Jibiao Wu

    Published 2017-01-01
    “…This study employed two-dimensional gel electrophoresis (2DE) for proteomic map analysis of the hypothalamus and hippocampus of rat models of premenstrual syndrome (PMS) irritability. …”
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    Article
  8. 548

    Difference in the Vitreal Protein Profiles of Patients with Proliferative Diabetic Retinopathy with and without Intravitreal Conbercept Injection by Chen Zou, Minjie Zhao, Jingjing Yu, Dandan Zhu, Yunzhi Wang, Xinping She, Yanan Hu, Zhi Zheng

    Published 2018-01-01
    “…Liquid chromatography-tandem mass spectrometry- (LC-MS/MS-) based proteomic methods were used to determine the protein profiles of the vitreous humor in patients with PDR treated with (IVC group; n=9) and without (PDR group; n=8) preoperative IVC. …”
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    Article
  9. 549

    Unlocking biological complexity: the role of machine learning in integrative multi-omics by Ravindra Kumar, Rajrani Ruhel, Andre J. van Wijnen

    Published 2024-11-01
    “…Integrative multi-omics approaches use multi-layered datasets such as genomic, transcriptomic, proteomic, and metabolomic data to understand biological processes much more comprehensively compared to the single-omics analysis and to provide a comprehensive view of cellular and molecular processes. …”
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    Article
  10. 550

    A high coverage reference transcriptome assembly of pea (<i>Pisum sativum</i> L.) mycorrhizal roots by A. M. Afonin, I. V. Leppyanen, O. A. Kulaeva, O. Y. Shtark, I. A. Tikhonovich, E. A. Dolgikh, V. A. Zhukov

    Published 2020-07-01
    “…As transcriptomic and proteomic approaches are being implemented for studying the mutualistic symbioses of pea, a need for a reference transcriptome of genes expressed under these specific conditions for increasing the resolution and the accuracy of other methods arose. …”
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  11. 551

    A ribosome-associating chaperone mediates GTP-driven vectorial folding of nascent eEF1A by Ibrahim M. Sabbarini, Dvir Reif, Kibum Park, Alexander J. McQuown, Anjali R. Nelliat, Charlotte Trejtnar, Volker Dötsch, Eugene I. Shakhnovich, Andrew W. Murray, Vladimir Denic

    Published 2025-02-01
    “…Here, we use AlphaPulldown to identify Ypl225w (also known as Chp1, Chaperone 1 for eEF1A) as a conserved yeast protein predicted to stabilize the N-terminal, GTP-binding (G) domain of eEF1A against its misfolding propensity, as predicted by computational simulations and validated by microscopy analysis of ypl225wΔ cells. Proteomics and biochemical reconstitution reveal that Ypl225w functions as a co-translational chaperone by forming dual interactions with the eEF1A G domain nascent chain and the UBA domain of ribosome-bound nascent polypeptide-associated complex (NAC). …”
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  12. 552

    Identification of Proteins and Genes Associated with Hedgehog Signaling Pathway Involved in Neoplasm Formation Using Text-Mining Approach by Nadezhda Yu. Biziukova, Sergey M. Ivanov, Olga A. Tarasova

    Published 2024-03-01
    “…Systematic accumulation of various types of biological data, including interactions between proteins, regulation of genes transcription, proteomics, and metabolomics experiments results, allows the application of computational analysis of these big data for identification of key molecular mechanisms of certain diseases and pathologies and promising therapeutic targets. …”
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  13. 553
  14. 554

    Molecular and Cellular Mechanisms of Immunosenescence: Modulation Through Interventions and Lifestyle Changes by Luca Pangrazzi, Andreas Meryk

    Published 2024-12-01
    “…We will examine the current understanding of immunosenescence at the genomic, epigenomic, and proteomic levels, and discuss how various lifestyle factors can potentially mitigate or partially reverse aspects of immune aging. …”
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  15. 555
  16. 556

    Histopathological characterization of skin and muscle lesions induced by lionfish (Pterois volitans) venom in a murine experimental model by Cecilia Díaz, Arturo Chang-Castillo, Natalia Ortiz

    Published 2025-01-01
    “…Methods: In this study, we characterized the 24-hour histopathological effects of lionfish venom in a mouse experimental model by testing the main fractions obtained by size exclusion-HPLC. By partial proteomics analysis, we also correlated these in vivo effects with the presence of some potentially toxic venom components. …”
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  17. 557
  18. 558

    First identification report for amino acid composition of red algae Gracilaria spp. obtained from Central Java, Indonesia by Klara Kharisma Bunga Chandra, Tri Rini Nuringtyas, Tri Joko Raharjo

    Published 2024-12-01
    “…The unique protein expressions have never been analyzed using a proteomic approach, and no reports are available on Gracilaria spp. amino acid sequences in Central Java. …”
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    Article
  19. 559

    Growth Differentiation Factor 15 and Risk of Death in Haemodialysis Patients by Christelle Calen, Seraina Von Moos, Pietro Cippà, Alexandre Mebazaa, Mattia Arrigo

    Published 2023-01-01
    “…Measurements were performed using the Proseek Multiplex Cardiovascular disease panels (Olink Proteomics AB) and validated using the Elecsys GDF-15 electrochemiluminescence immunoassay on a Cobas E801 analyzer (Roche Diagnostics). …”
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  20. 560

    SHASI-ML: a machine learning-based approach for immunogenicity prediction in Salmonella vaccine development by Ottavia Spiga, Ottavia Spiga, Ottavia Spiga, Anna Visibelli, Francesco Pettini, Bianca Roncaglia, Annalisa Santucci, Annalisa Santucci, Annalisa Santucci

    Published 2025-02-01
    “…When applied to the Salmonella enterica serovar Typhimurium proteome, the model identified 292 novel immunogenic protein candidates. …”
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    Article