Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–3 of 3 results
Advanced filters: Author: Eva-Maria Geissen Clear advanced filters

  • Metabolic labeling is often used to measure protein turnover. Here the authors show that for interconvertible protein species like phosphoforms metabolic labeling does not provide information on turnover differences, but that the relative order of modification can determine the observed dynamics.

    • Henrik M. Hammarén
    • Eva-Maria Geissen
    • Mikhail M. Savitski
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-15

  • Coupling live-cell imaging, machine learning and genomic sequencing, the MAGIC platform enables investigation of the cellular context, mutation rates and triggers of spontaneous chromosomal abnormality formation, shedding light on fundamental determinants of chromosomal instability.

    • Marco Raffaele Cosenza
    • Alice Gaiatto
    • Jan O. Korbel
    ResearchOpen Access
    Nature
    Volume: 648, P: 383-393

  • Hauf and colleagues modulate the amount of spindle assembly checkpoint (SAC) proteins in fission yeast, revealing that a small reduction can cause checkpoint errors. However, levels of critical proteins normally show little variation, which explains the robustness of the SAC.

    • Stephanie Heinrich
    • Eva-Maria Geissen
    • Silke Hauf
    Research
    Nature Cell Biology
    Volume: 15, P: 1328-1339