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Showing 1–8 of 8 results
Advanced filters: Author: Stefka Tyanova Clear advanced filters

  • Breast cancers have been extensively studied at the genomic and transcriptomic levels in the hope of tailoring therapeutic regimens. Here the authors generate deep coverage proteomes from several clinical breast cancer samples, and use machine learning techniques to uncover biological processes altered in specific cancer subtypes.

    • Stefka Tyanova
    • Reidar Albrechtsen
    • Tamar Geiger
    ResearchOpen Access
    Nature Communications
    Volume: 7, P: 1-11

  • Monocyte-derived macrophages (MDMs) infiltrate the brain after traumatic brain injury (TBI) and contribute to cognitive deficits. Here, the authors show that MDMs persist long-term in the brain after TBI and acquire a disease- and age-associated signature enriched in human TBI and AD brains.

    • Maria Serena Paladini
    • Benjamin A. Yang
    • Susanna Rosi
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-16

  • A loss of neuronal network resilience results in epilepsy. In this study, the authors show that inhibition of mTORC2 suppresses seizures in animal models with multiple aetiologies, thus enhancing neuronal resilience to the pathological hypersynchrony associated with epilepsy.

    • James Okoh
    • Jacqunae Mays
    • Mauro Costa-Mattioli
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-13

  • MaxQuant is a platform for mass spectrometry-based proteomics data analysis. It includes a peptide database search engine, called Andromeda, and expanding capability to handle data from most quantitative proteomics experiments.

    • Stefka Tyanova
    • Tikira Temu
    • Juergen Cox
    Protocols
    Nature Protocols
    Volume: 11, P: 2301-2319

  • The authors performed a comprehensive proteome analysis of the adult mouse brain, its major regions and CNS cell types at a depth of >13,000 proteins. This new resource represents the largest collection of cell type–resolved protein expression data of the brain. The power of the data set was illustrated by identifying novel adhesion molecules in glia and neuron interaction.

    • Kirti Sharma
    • Sebastian Schmitt
    • Mikael Simons
    Research
    Nature Neuroscience
    Volume: 18, P: 1819-1831

  • Perseus is a comprehensive, user-friendly software platform for the biological analysis of quantitative proteomics data. It is intended to help biologists with little bioinformatics training to interpret protein expression, post-translational modification and interaction data. Also in this issue, see the Perspective by Röst et al.

    • Stefka Tyanova
    • Tikira Temu
    • Jürgen Cox
    Reviews
    Nature Methods
    Volume: 13, P: 731-740