Martin Beck

The paper reports an extended structure of the human nuclear pore complex, revealing TREX-2 components as integral parts of the nuclear ring.

This study uses in situ structural biology to reveal the molecular organization of chromatin at the nuclear periphery in human cells.

The paper introduces UbSeRP to map co-translational ubiquitination across the translatome, revealing RQC substrates, biophysical features predicting RQC, and aging-related changes in CTU.

This study uses cryo-electron tomography to show vault particles associate with ER and nuclear envelope membranes and enclose ribosomes in Dictyostelium discoideum.

The paper develops a computational method to measure membrane thickness in cryo-electron tomograms, revealing systematic variations across organelles and supporting hydrophobic matching models.

cryoTIGER uses deep learning to generate intermediate tilt images in cryo-electron tomography, improving 3D reconstruction and structural recovery.

This study evaluates tilt increments in cryo-ET to find the optimal balance between image quality and radiation damage, recommending 3 degrees as the best increment.

This study shows that the small GTPase Ran controls the asymmetry of nuclear pore complexes by regulating their peripheral configuration in budding yeast and Drosophila.

This study shows that nuclear pore complexes dilate during cell differentiation and that Nup133 deficiency prevents this dilation, leading to nuclear envelope instability.

This study uses cryo-ET to visualize copia retrotransposon structure in Drosophila cells, revealing nuclear clustering and size selection during gametogenesis.

This study investigates how HIV-1 capsids pass through nuclear pores, finding that capsids retain their structure and cause NPC scaffold rings to crack.

This study shows that Dictyostelium discoideum uses nuclear pores as conduits for fluid flow during osmotic stress, distinct from passive diffusion and active transport.

This paper introduces a high-confidence 3D template matching method for CryoET, enabling accurate localization of cellular structures with improved statistical confidence.

This study reveals how the dsRBD2 domain of the DExH-type helicase maleless orchestrates RNA unwinding through structural transitions, independent of ATP.

The paper identifies importins that bind nascent proteins co-translationally in yeast, showing their role in preventing aggregation and integrating with ribosome-associated chaperones.

DeePiCt is a deep-learning framework for segmenting and localizing macromolecular complexes in cryo-electron tomograms, showing effectiveness in identifying low-abundance structures across species.

The paper shows that FBP, a glycolytic metabolite, affects mesoderm segmentation in mouse embryos by altering subcellular protein localization and Wnt-signaling.

The paper shows that parts of the TCA cycle operate in the nucleus, challenging the canonical view of metabolic compartmentalization.

The paper uses AI to create a dynamic model of the human nuclear pore complex, showing how the protein scaffold interacts with the nuclear envelope.

The paper identifies conserved paralog substitutions during neuronal differentiation across species and shows their impact on neuron development.

The paper identifies co-translational assembly domains in proteins that facilitate interactions between nascent chains and fully synthesized subunits, revealing their role in regulating complex assembly pathways.

The paper identifies 18 cell types in sponges, including neuroid cells with synaptic gene expression, suggesting early neuro-immune system evolution.

This study uses cryo electron tomography and simulations to analyze the structure of SARS-CoV-2 spike protein in situ, revealing three hinges in the stalk domain that enable orientational flexibility.

This study benchmarks tomographic acquisition schemes for cryo electron tomography to optimize resolution for subtomogram averaging using HIV-1 lattice.

This study identifies a bias in proteome-wide crosslinking towards high-abundant proteins and shows how optimizing kinetic parameters can enhance detection of lower-abundant proteins.

This study rapidly generates proteomic data for NCI-60 cancer cell lines and identifies drug response determinants by integrating proteomic, genetic, and transcriptomic data.