Gerhard Wider

Cells continuously adapt cellular processes by integrating external and internal signals. In yeast, multiple stress signals regulate pheromone signaling to prevent mating under unfavorable conditions. However, the underlying crosstalk mechanisms remain poorly understood. Here, we show that mechanical stress activates Pkc1, which prevents lysis of pheromone-treated cells by inhibiting polarized growth. In vitro Pkc1 phosphorylates conserved residues within the RING-H2 domains of the scaffold proteins Far1 and Ste5, which are also phosphorylated in vivo. Interestingly, Pkc1 triggers dispersal of Ste5 from mating projections upon mechanically induced stress and during cell–cell fusion, leading to inhibition of the MAPK Fus3. Indeed, RING phosphorylation interferes with Ste5 membrane association by preventing binding to the receptor-linked Gβγ protein. Cells expressing nonphosphorylatable Ste5 undergo increased lysis upon mechanical stress and exhibit defects in cell–cell fusion during mating, which is exacerbated by simultaneous expression of nonphosphorylatable Far1. These results uncover a mechanical stress–triggered crosstalk mechanism modulating pheromone signaling, polarized growth, and cell–cell fusion during mating.

The increased interest in using monoclonal antibodies (mAbs) as a platform for biopharmaceuticals has led to the need for new analytical techniques that can precisely assess physicochemical properties of these large and very complex drugs for the purpose of correctly identifying quality attributes (QA). One QA, higher order structure (HOS), is unique to biopharmaceuticals and essential for establishing consistency in biopharmaceutical manufacturing, detecting process-related variations from manufacturing changes and establishing comparability between biologic products. To address this measurement challenge, two-dimensional nuclear magnetic resonance spectroscopy (2D-NMR) methods were introduced that allow for the precise atomic-level comparison of the HOS between two proteins, including mAbs. Here, an inter-laboratory comparison involving 26 industrial, government and academic laboratories worldwide was performed as a benchmark using the NISTmAb, from the National Institute of Standards and Technology (NIST), to facilitate the translation of the 2D-NMR method into routine use for biopharmaceutical product development. Two-dimensional ¹H,¹⁵N and ¹H,¹³C NMR spectra were acquired with harmonized experimental protocols on the unlabeled Fab domain and a uniformly enriched-¹⁵N, 20%-¹³C-enriched system suitability sample derived from the NISTmAb. Chemometric analyses from over 400 spectral maps acquired on 39 different NMR spectrometers ranging from 500 MHz to 900 MHz demonstrate spectral fingerprints that are fit-for-purpose for the assessment of HOS. The 2D-NMR method is shown to provide the measurement reliability needed to move the technique from an emerging technology to a harmonized, routine measurement that can be generally applied with great confidence to high precision assessments of the HOS of mAb-based biotherapeutics.

The homotrimeric ligand tumor necrosis factor alpha (TNFα) is a key cytokine and immune regulator, however, when deregulated it leads to several major chronic inflammatory diseases. Perturbation of the protein–protein interface has proven to be an efficient strategy to inactivate TNFα, but the atomic resolution mechanism of its inactivation remains poorly understood. Here, we probe the solution structure and dynamics of active and inactive TNFα using NMR spectroscopy. The data reveal that TNFα undergoes motions on different timescales. Furthermore, we show by site directed mutagenesis at residues at the trimerization interface and by targeting the interface with a low molecular weight inhibitor, that TNFα retains its overall structure and trimeric state. However, upon perturbation TNFα exhibits increased conformational dynamics spanning from the trimerisation interface to the regions mediating receptor binding. These findings provide novel insights into the inactivation mechanism of TNFα and the basis for strategies to target TNFα’s activity.

Motivation: A detailed analysis of multidimensional NMR spectra of macromolecules requires the identification of individual resonances (peaks). This task can be tedious and time-consuming and often requires support by experienced users. Automated peak picking algorithms were introduced more than 25 years ago, but there are still major deficiencies/flaws that often prevent complete and error free peak picking of biological macromolecule spectra. The major challenges of automated peak picking algorithms is both the distinction of artifacts from real peaks particularly from those with irregular shapes and also picking peaks in spectral regions with overlapping resonances which are very hard to resolve by existing computer algorithms. In both of these cases a visual inspection approach could be more effective than a ‘blind’ algorithm. Results: We present a novel approach using computer vision (CV) methodology which could be better adapted to the problem of peak recognition. After suitable ‘training’ we successfully applied the CV algorithm to spectra of medium-sized soluble proteins up to molecular weights of 26 kDa and to a 130 kDa complex of a tetrameric membrane protein in detergent micelles. Our CV approach outperforms commonly used programs. With suitable training datasets the application of the presented method can be extended to automated peak picking in multidimensional spectra of nucleic acids or carbohydrates and adapted to solid-state NMR spectra. Availability and implementation: CV-Peak Picker is available upon request from the authors. Contact: gsw@mol.biol.ethz.ch; michal.walczak@mol.biol.ethz.ch; adam.gonczarek@pwr.edu.pl Supplementary information: Supplementary data are available at Bioinformatics online.

Posttranslational modifications (PTMs) are an integral part of the majority of proteins. The characterization of structure and function of PTMs can be very challenging especially for glycans. Existing methods to analyze PTMs require complicated sample preparations and suffer from missing certain modifications, the inability to identify linkage types and thus chemical structure. We present a direct, robust, and simple NMR spectroscopy method for the detection and identification of PTMs in proteins. No isotope labeling is required, nor does the molecular weight of the studied protein limit the application. The method can directly detect modifications on intact proteins without sophisticated sample preparation. This approach is well suited for diagnostics of proteins derived from native organisms and for the quality control of biotechnologically produced therapeutic proteins.

Acyl carrier protein (ACP) domains are critical integral components of multifunctional type I fatty acid synthases (FAS I) and polyketide synthases (PKSs), where they shuttle the growing adducts of the synthesis between the catalytic domains. In contrast to ACP of mammalian FAS I, PKSs, and the dissociated fatty acid synthase type II systems (FAS II) of bacteria, fungal FAS I ACP consists of two subdomains, one comprising the canonical ACP fold observed in all FAS systems and the other representing an extra structural subdomain. While ACPs of dissociated FAS II are able to sequester the reaction intermediates during substrate shuttling, such a transport mechanism has not been observed in ACP domains of multifunctional FAS I and PKS systems. For a better understanding of the interaction between the canonical subdomain of fungal ACP with the growing acyl chain and the role of the structural subdomain, we determined the structure of the isolated Saccharomyces cerevisiae acyl carrier protein (ScACP) domain by NMR spectroscopy and investigated the interactions between ScACP and covalently attached substrate acyl chains of varying length by monitoring chemical shift perturbations. The interactions were mapped to the hydrophobic core of the canonical subdomain, while no perturbations were detected in the structural subdomain. A population analysis revealed that only approximately 15% of covalently attached decanoyl chains are sequestered by the ACP core, comparable to the mammalian FAS I and multifunctional PKS systems, which do not sequester their substrates. Finally, denaturation experiments show that both ScACP subdomains unfold cooperatively and that the weak interaction of the acyl chain with the hydrophobic core does not significantly affect the ACP stability.

A procedure is presented for automated sequence-specific assignment of NMR resonances of uniformly [¹³C, ¹⁵N]-labeled RNA. The method is based on a suite of four through-bond and two through-space high-dimensional automated projection spectroscopy (APSY) experiments. The approach is exemplified with a 0.3 mM sample of an RNA stem-loop with 48 nucleotides, K10, which is responsible for dynein-mediated localization of Drosophila fs(1)K10 mRNA transcripts. The automated analysis of the APSY data led to highly accurate and precise 3- to 4-dimensional peak lists. They provided a reliable basis for the subsequent sequence-specific resonance assignment with the algorithm FLYA and resulted in the fully automated resonance assignment of more than 80 % of the resonances of the ¹³C–¹H moieties at the 1′, 2′, 5, 6, and 8 positions in the nucleotides. The procedure was robust with respect to numerous impurity peaks, low concentration of this for NMR comparably large RNA, and structural features such as a loop, single-nucleotide bulges and a non-Watson–Crick wobble base pairs. Currently, there is no precise chemical shift statistics (as used by FLYA) for RNA regions which deviate from the regular A-form helical structure. Reliable and precise peak lists are thus required for automated sequence-specific assignment, as provided by APSY.

A fast, robust and reliable strategy for automated sequential resonance assignment for uniformly [¹³C, ¹⁵N]-labeled RNA via its phosphodiester backbone is presented. It is based on a series of high-dimensional through-bond APSY experiments: a 5D HCP-CCH COSY, a 4D H1′C1′CH TOCSY for ribose resonances, a 5D HCNCH for ribose-to-base connection, a 4D H6C6C5H5 TOCSY for pyrimidine resonances, and a 4D H8C8(C)C2H2 TOCSY for adenine resonances. The utilized pulse sequences are partially novel, and optimized to enable long evolution times in all dimensions. The highly precise APSY peak lists derived with these experiments could be used directly for reliable automated resonance assignment with the FLYA algorithm. This approach resulted in 98 % assignment completeness for all ¹³C–¹H, ¹⁵N1/9 and ³¹P resonances of a stem-loop with 14 nucleotides.

Dissociation of the TNF-alpha trimer caused by the small-molecule inhibitor SPD304 was monitored using native ESI-MS and ion mobility spectrometry (IMS). Upon addition of the inhibitor, our data clearly indicate partial dissociation of the protein into dimers and monomers. The IMS-MS analysis shows that dimeric ions have their own characteristic drift time distributions, which are different from those of the dimer ions originating in the gas phase due to collision-induced dissociation. We show that only one equivalent of the inhibitor binds to the trimeric form. We also investigated inhibition of heterodimer formation of the survival protein Bcl-x_L with the cell death-promoting regions of the proteins Bak and Bad, using the small inhibitors ABT737 and ABT263. We found that ABT737 is more potent than ABT263 in preventing the heterodimerization between Bcl-x_L and the Bak and Bad derived BH3 peptides. We could also monitor the mode of binding, which in this case is competitive. These results indicate that native ESI-MS can be widely used to study the inhibition of other relevant protein–protein interactions (PPIs), and provide a good basis for further improvement and identification of small-molecule PPI inhibitors.