Showing 181 - 200 results of 952 for search '"proteome"', query time: 0.09s Refine Results
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    Proteomic profiling identifies muscle-invasive bladder cancers with distinct biology and responses to platinum-based chemotherapy by A. Contreras-Sanz, G. L. Negri, M. J. Reike, H. Z. Oo, J. M. Scurll, S. E. Spencer, K. Nielsen, K. Ikeda, G. Wang, C. L. Jackson, S. Gupta, M. E. Roberts, D. M. Berman, R. Seiler, G. B. Morin, P. C. Black

    Published 2025-02-01
    “…Here, we profile the global proteome of muscle-invasive bladder cancers pre- and post-neoadjuvant chemotherapy treatment using archival formalin-fixed paraffin-embedded tissue. …”
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    A multi-tissue longitudinal proteomics study to evaluate the suitability of post-mortem samples for pathophysiological research by Christian M. Beusch, Ken Braesch-Andersen, Ulrika Felldin, Pierre Sabatier, Anna Widgren, Jonas Bergquist, Karl-Henrik Grinnemo, Sergey Rodin

    Published 2025-01-01
    “…Abstract Recent developments in mass spectrometry-based proteomics have established it as a robust tool for system-wide analyses essential for pathophysiological research. …”
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    Exosome proteomic analyses identify inflammatory phenotype and novel biomarkers in African American prostate cancer patients by Gati K. Panigrahi, Prakash P. Praharaj, Hiroki Kittaka, Asit R. Mridha, Olen M. Black, Rakesh Singh, Roger Mercer, Adrie van Bokhoven, Kathleen C. Torkko, Chapla Agarwal, Rajesh Agarwal, Zakaria Y. Abd Elmageed, Hariom Yadav, Santosh K. Mishra, Gagan Deep

    Published 2019-03-01
    “…Mass spectrometry‐based proteomic analysis of serum exosomes identified seven unique and fifty‐five overlapping proteins (up‐ or downregulated) in African Americans with PCa compared to healthy African Americans. …”
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    Proteomic and Metabolomic Characterization of Metabolically Healthy Obesity: A Descriptive Study from a Swedish Cohort by J. Korduner, P. M. Nilsson, O. Melander, M. J. Gerl, G. Engström, E. Bachus, M. Magnusson, F. Ottosson

    Published 2021-01-01
    “…Associations between different biomarkers (proteomics, lipidomics, and metabolomics) coupled to either MHO or metabolically unhealthy obese (MUO) individuals were analyzed through principal component analysis (PCA). …”
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    Deep visual proteomics reveals DNA replication stress as a hallmark of signet ring cell carcinoma by Sonja Kabatnik, Xiang Zheng, Georgios Pappas, Sophia Steigerwald, Matthew P. Padula, Matthias Mann

    Published 2025-02-01
    “…We employed Deep Visual Proteomics (DVP), which combines AI-directed cell segmentation and classification with laser microdissection and ultra-high sensitivity mass spectrometry, for cell-type-specific proteomic analysis of SRCC across the bladder, prostate, seminal vesicle, and a lymph node of a single patient. …”
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    freeQuant: A Mass Spectrometry Label-Free Quantification Software Tool for Complex Proteome Analysis by Ning Deng, Zhenye Li, Chao Pan, Huilong Duan

    Published 2015-01-01
    “…Study of complex proteome brings forward higher request for the quantification method using mass spectrometry technology. …”
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    Exploring proteomic immunoprofiles: common neurological and immunological pathways in multiple sclerosis and type 1 diabetes mellitus by Fátima Cano-Cano, Almudena Lara-Barea, Álvaro Javier Cruz-Gómez, Francisco Martín-Loro, Laura Gómez-Jaramillo, María Carmen González-Montelongo, María Mar Roca-Rodríguez, Lucía Beltrán-Camacho, Lucía Forero, Javier J. González-Rosa, Mª Carmen Durán-Ruiz, Ana I. Arroba, Manuel Aguilar-Diosdado

    Published 2025-02-01
    “…Methods We conducted a proteomic analysis of PBMCs from patients with T1DM and relapsing remitting Multiple Sclerosis (herein forth MS) patients (n = 9 per condition), using a label-free quantitative proteomics approach. …”
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    Comparative Proteome Analysis of Epicardial and Subcutaneous Adipose Tissues from Patients with or without Coronary Artery Disease by Yu xing Zhao, Hui juan Zhu, Hui Pan, Xue mei Liu, Lin jie Wang, Hong bo Yang, Nai shi Li, Feng ying Gong, Wei Sun, Yong Zeng

    Published 2019-01-01
    “…Here, we analyzed differences in proteome composition in epicardial (EAT) and subcutaneous adipose tissues (SAT) from patients with or without CAD. …”
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    TMT-based quantitative proteomics reveals the genetic mechanisms of secondary hair follicle development in fine-wool sheep. by Li-Xia Qiu, Qian Yu, Hua-Qian Zhou, Wen-Hua Fan, Jing-Jing Zheng, Yong-Lin Yang, Wen-Zhe Zhang, Xin Cao, Hua Yang

    Published 2025-01-01
    “…TMT-based quantitative proteomics was used to compare the differential protein profiles of skin tissues between consecutive developmental periods (75 versus 85, 85 versus 95, and 95 versus 105 gestational days). …”
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