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| Emergence of interfacial magnetism in strongly‐correlated nickelate‐titanate superlattices
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| Transcriptional changes are tightly coupled to chromatin reorganization during cellular aging
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| Directed ultrafast conformational changes accompany electron transfer in a photolyase as resolved by serial crystallography
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| Airborne metal nanoparticles released by azides detonation: determination and potential public exposure
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| Development and implementation of holmium sources produced by molecular plating for the HOLMES experiment
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| Pathogenic mutation ΔK280 promotes hydrophobic interactions involving microtubule-binding domain and enhances liquid-liquid phase separation of tau
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| Biochemie und Molekularbiologie. Eine Einführung in 40 Lerneinheiten
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| Chromatin remodeling due to transient-link-and-pass activity enhances subnuclear dynamics
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| Photoswitch dissociation from a G protein-coupled receptor resolved by time-resolved serial crystallography
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| Correlative light and soft X-ray tomography of in situ mesoscale heterochromatin structure in intact cells
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| Beam divergence and interference characteristics of field emission beam: effects of transverse momentum and source spatial coherence
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| Spectroscopic investigations of complex electronic interactions by elemental doping and material compositing of cobalt oxide for enhanced oxygen evolution reaction activity
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| Loss of cytoplasmic actin filaments raises nuclear actin levels to drive INO80C-dependent chromosome fragmentation
Hurst, V., Gerhold, C. B., Tarashev, C. V. D., Challa, K., Seeber, A., Yamazaki, S., … Gasser, S. M. (2024). Loss of cytoplasmic actin filaments raises nuclear actin levels to drive INO80C-dependent chromosome fragmentation. Nature Communications, 15, 9910 (22 pp.). https://doi.org/10.1038/s41467-024-54141-0 |
| Origami of KR-12 Designed Antimicrobial Peptides and Their Potential Applications
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| A new family of septuple-layer 2D materials of MoSi<sub>2</sub>N<sub>4</sub>-like crystals
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| Criteria for objects suitable for reconstruction from holograms and diffraction patterns
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| Controlling drug partitioning in individual protein condensates through laser-induced microscale phase transitions
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| Deep learning applications in protein crystallography
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| DiffraGAN: a conditional generative adversarial network for phasing single molecule diffraction data to atomic resolution
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