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Showing 1–6 of 6 results
Advanced filters: Author: "Thomas Kislinger" Clear advanced filters

  • Cancer metabolism adapts the metabolic network of its cell of origin. Mahendralingam et al. find that lineage-rooted metabolic identities of normal mammary cells reflect breast cancer subtype metabolism.

    • Mathepan Jeya Mahendralingam
    • Hyeyeon Kim
    • Rama Khokha
    Research
    Nature Metabolism
    Volume: 3, P: 665-681

  • Proteomic technologies are capable of identifying thousands of proteins in biological samples, but biomarker applications are lagging. Here the authors use Multiple Reaction Monitoring Mass Spectrometry to delineate peptide signatures that accurately distinguish between defined prostate cancer patient risk groups.

    • Yunee Kim
    • Jouhyun Jeon
    • Thomas Kislinger
    ResearchOpen Access
    Nature Communications
    Volume: 7, P: 1-10

  • Mechanical and electrical activity in the heart is propagated through unique cardiomyocyte membrane structures, the intercalated discs (ID). Sharma et al.identify a novel ID protein, Tmem65, that controls Ca2+ signalling and electrical coupling by interacting with and functionally regulating the gap junction protein Cx43.

    • Parveen Sharma
    • Cynthia Abbasi
    • Anthony O. Gramolini
    Research
    Nature Communications
    Volume: 6, P: 1-13

  • Extracellular vesicles mediate intercellular signalling and are potential sources of cancer biomarkers. Nawaz and colleagues describe the biogenesis of extracellular vesicles, and the methods available for their isolation and characterization. The authors also discuss current research into the identification of vesicle-derived biomarkers for cancers of the prostate, kidney and bladder.

    • Muhammad Nawaz
    • Giovanni Camussi
    • Thomas Kislinger
    Reviews
    Nature Reviews Urology
    Volume: 11, P: 688-701

  • Biomarkers that can improve risk stratification of patients with prostate cancer are urgently needed. In this Review, Khoo et al. outline mass spectrometry technologies that enable the systematic discovery and targeted validation of protein-based biomarkers in prostate-associated fluids.

    • Amanda Khoo
    • Lydia Y. Liu
    • Thomas Kislinger
    Reviews
    Nature Reviews Urology
    Volume: 18, P: 707-724

  • Tumor-specific peptides missed in standard mass spectrometry–based workflows can be identified by integrating genomic information to interpret proteomic data. As discussed in this Perspective, an onco-proteogenomic approach to study tumor biology could have a substantial impact on cancer research. Also in this issue, Nesvizhskii reviews proteogenomic technology.

    • Javier A Alfaro
    • Ankit Sinha
    • Paul C Boutros
    Reviews
    Nature Methods
    Volume: 11, P: 1107-1113