Biology subjects

Grunewald, L.

Publications and source records attributed to Grunewald, L..

5 recordsLinked to original sources

bioRxiv2026

Visualizing Reaction Pathways via Reciprocal Space Kinetic Decomposition

Time-resolved serial crystallography (TR-SX) has emerged as a powerful method for capturing ultrafast structural dynamics in proteins. TR-SX continues to produce remarkable studies, revealing previously unobserved transient states and providing deeper insights into processes such as drug targeting, DNA repair, and photosynthesis. However, extracting weak structural signals from noisy time-resolved datasets remains a major challenge. Robust computational methods are therefore required to isolate the signals associated with the underlying transient states. Importantly, this should be performed in reciprocal space to preserve compatibility with established downstream structure refinement workflows. Here, we introduce a framework for kinetic decomposition directly in reciprocal space that enables separation of kinetically distinct structural states. The method decomposes crystallographic data according to a predefined kinetic model, improving the recovery of weak transient signals and enhancing mechanistic interpretation from limited time-resolved datasets. We validate the framework using simulated data based on a previously published time-resolved crystallography study and demonstrate its application to a new TR-SX dataset comprising 17 time points. We show that the method separates the reciprocal space signatures of four intermediates by incorporating kinetic information from a predefined reaction model. This establishes a workflow for extracting kinetic states directly from time-resolved X-ray diffraction data that can be seamlessly integrated into existing crystallographic structure-determination pipelines.

biophysics↗

bioRxiv2026

Anaerobic time-resolved serial crystallography captures CO dissociation and rebinding in oxygen-sensitive -hydrogenase

Redox-active, oxygen-sensitive metalloenzymes catalyze key reactions in biological energy conversion and small-molecule activation. Understanding their mechanisms requires structural characterization of transient catalytic intermediates. Time-resolved serial crystallography (TR-SX) enables direct visualization of protein dynamics during catalysis under near-physiological conditions. Its application to oxygen-sensitive enzymes has remained challenging because strict anaerobic conditions must be maintained throughout sample preparation and data collection. Here, we establish an anaerobic room-temperature serial crystallography workflow for the oxygen-sensitive [FeFe]-hydrogenase CpI and demonstrate its applicability by determining a room-temperature structure of the CO-inhibited Hox-CO state and following inhibitory CO dissociation and rebinding on the millisecond timescale via TR-SX. The presented room-temperature Hox-CO structure closely resembles previous cryogenic models and shows no detectable evidence of oxygen-induced degradation or significant radiation damage. Time-resolved measurements reveal no detectable structural rearrangements accompanying CO dissociation and rebinding beyond displacement and return of the inhibitory ligand, indicating a rigid catalytic architecture that may facilitate rapid catalysis. The presented workflow enables time-resolved structural studies of oxygen-sensitive metalloenzymes under physiologically relevant conditions and opens the way to direct visualization of catalytic intermediates in redox enzymes.

biochemistry↗

bioRxiv2024

cryoSPHERE: Single-particle heterogeneous reconstruction from cryo EM

The three-dimensional structure of a protein plays a key role in determining its function. Methods like AlphaFold have revolutionized protein structure prediction based only on the amino-acid sequence. However, proteins often appear in multiple different conformations, and it is highly relevant to resolve the full conformational distribution. Single-particle cryo-electron microscopy (cryo EM) is a powerful tool for capturing a large number of images of a given protein, frequently in different conformations (referred to as particles). The images are, however, very noisy projections of the protein, and traditional methods for cryo EM reconstruction are limited to recovering a single, or a few, conformations. In this paper, we introduce cryoSPHERE, a deep learning method that takes as input a nominal protein structure, e.g. from AlphaFold, learns how to divide it into segments, and how to move these as approximately rigid bodies to fit the different conformations present in the cryo EM dataset. This formulation is shown to provide enough constraints to recover meaningful reconstructions of single protein structures. This is illustrated in three examples where we show consistent improvements over the current state-of-the-art for heterogeneous reconstruction.

biophysics↗

bioRxiv2024

Cryo-EM structures of a bathy phytochrome histidine kinase reveal a unique light-dependent activation mechanism

Phytochromes are photoreceptor proteins in plants, fungi and bacteria. They can adopt two photochromic states with differential biochemical responses. The structural changes transducing the signal from the chromophore to the biochemical output modules are poorly understood due to challenges in capturing structures of the dynamic, full-length protein. Here, we present the first cryo-electron microscopy structures of the phytochrome from Pseudomonas aeruginosa (PaBphP) in its resting Pfr and photoactivated Pr state. The kinase-active Pr state has an asymmetric, dimeric structure, whereas the kinase-inactive Pfr state opens up. This behaviour is different from other known phytochromes and we explain it with the unusually short connection between the photosensory and output modules. Multiple sequence alignment of this region suggests evolutionary optimisation for different modes of signal transduction in sensor proteins. The results establish a new mechanism for light-sensing by phytochrome histidine kinases and provide input for the design of optogenetic phytochrome variants.

biochemistry↗

bioRxiv2024

Targeting MYCN upregulates L1CAM tumor antigen in MYCN-dysregulated neuroblastoma to increase CAR T cell efficacy

BackgroundCurrent treatment protocols have only limited success in pediatric patients with neuroblastomas harboring amplifications of the central oncogene, MYCN. Adoptive T cell therapy presents an innovative strategy to improve cure rates. However, L1CAM-targeting CAR T cells achieved only limited response against refractory/relapsed neuroblastoma in an ongoing phase I trial to date. Here, we investigate how oncogenic MYCN levels influence tumor cell response to CAR T cells, as one possible factor limiting success in trials. MethodsHigh MYCN levels were induced in SK-N-AS cells harboring the normal diploid MYCN complement using a tetracycline-inducible system. The inducible MYCN cell model or MYCN-amplified neuroblastoma cell lines were cocultured with L1CAM-CAR T cells. CAR T cell effector function was assessed via activation marker expression (flow cytometry), cytokine release and tumor cytotoxicity (biophotonic signal assessment). The cell model was characterized using RNA sequencing, and our data compared to publicly available RNA and proteomic data sets from neuroblastomas. ChIP-sequencing data was used to determine transcriptional L1CAM regulation by MYCN using public data sets. Synergism between CAR T cells and the MLN8237 AURKA inhibitor, which indirectly inhibits MYCN activity, was assessed in vitro using the Bliss model and in vivo in an immunocompromised mouse model. ResultsInducing high MYCN levels in the neuroblastoma cell model reduced L1CAM expression and, consequently, L1CAM-CAR T cell effector function (activation, cytokine release and cytotoxicity) in vitro. Primary neuroblastomas possessing high MYCN levels expressed lower levels of both the L1CAM transcript and L1CAM tumor antigen. Indirectly inhibiting MYCN via AURKA using MLN8237 treatment restored L1CAM expression on tumor cells in vitro and restored L1CAM-CAR T cell effector function. Combining MLN8237 and L1CAM-CAR T cell treatment synergistically increased neuroblastoma-directed killing in MYCN-overexpressing cells in vitro and in vivo concomitant with severe in vivo toxicity. ConclusionWe shed new light on a primary resistance mechanism in MYCN-driven neuroblastoma against L1CAM-CAR T cells via target antigen downregulation. These data suggest that combining L1CAM-CAR T cell therapy with pharmacological MYCN inhibition may benefit patients with high-risk neuroblastomas harboring MYCN amplifications.

immunology↗