The ubiD/ubiX or the homologous fdc/pad genes have been implicated in the non-oxidative reversible decarboxylation of aromatic substrates, and play a pivotal role in bacterial ubiquinone biosynthesis1–3 or microbial biodegradation of aromatic compounds4–6 respectively. Despite biochemical studies on individual gene products, the composition and co-factor requirement of the enzyme responsible for in vivo decarboxylase activity remained unclear7–9. We show Fdc is solely responsible for (de)carboxylase activity, and that it requires a new type of cofactor: a prenylated flavin synthesised by the associated UbiX/Pad10. Atomic resolution crystal structures reveal two distinct isomers of the oxidized cofactor can be observed: an isoalloxazine N5-iminium adduct and a N5 secondary ketimine species with drastically altered ring structure, both having azomethine ylide character. Substrate binding positions the dipolarophile enoic acid group directly above the azomethine ylide group. The structure of a covalent inhibitor-cofactor adduct suggests 1,3-dipolar cycloaddition chemistry supports reversible decarboxylation in these enzymes. While 1,3-dipolar cycloaddition is commonly used in organic chemistry11–12, we propose this presents the first example of an enzymatic 1,3-dipolar cycloaddition reaction. Our model for Fdc/UbiD catalysis offers new routes in alkene hydrocarbon production or aryl (de)carboxylation.

Eukaryotes have evolved various quality control mechanisms to promote proteostasis in the ER. Selective removal of certain ER domains via autophagy (termed as ER-phagy) has emerged as a major quality control mechanism. However, the degree to which ER-phagy is employed by other branches of ER-quality control remains largely elusive. Here, we identify a cytosolic protein, C53, that is specifically recruited to autophagosomes during ER-stress, in both plant and mammalian cells. C53 interacts with ATG8 via a distinct binding epitope, featuring a shuffled ATG8 interacting motif (sAIM). C53 senses proteotoxic stress in the ER lumen by forming a tripartite receptor complex with the ER-associated ufmylation ligase UFL1 and its membrane adaptor DDRGK1. The C53/UFL1/DDRGK1 receptor complex is activated by stalled ribosomes and induces the degradation of internal or passenger proteins in the ER. Consistently, the C53 receptor complex and ufmylation mutants are highly susceptible to ER stress. Thus, C53 forms an ancient quality control pathway that bridges selective autophagy with ribosome-associated quality control in the ER.

In the past decade, mass spectrometry (MS) coupled with electrospray ionization (ESI) has been extensively applied to the study of intact proteins and their complexes, often without the requirement of labels. Solvent conditions (for example, pH, ionic strength, and concentration) affect the observed desolvated species; the ease of altering such extrinsic factors renders ESI-MS an appropriate method by which to consider the range of conformational states that proteins may occupy, including natively folded, disordered and amyloid. Rotationally averaged collision cross sections of the ionized forms of proteins, provided by the combination of mass spectrometry and ion mobility (IM-MS), are also instructive in exploring conformational landscapes in the absence of solvent. Here, we ask the following question: "If the only technique you had was ESI-IM-MS, what information would it provide on the structural preferences of an unknown protein?" We have selected 20 different proteins, both monomeric and multimeric, ranging in mass from 2846 Da (melittin) to 150 kDa (Immunoglobulin G), and we consider how they are presented to a mass spectrometer under different solvent conditions. Mass spectrometery allows us to distinguish which of these proteins are structured (melittin, human beta defensin 1, truncated human lymphotactin, Cytochrome C, holo hemoglobin-α, ovalbumin, human transthyretin, avidin, bovine serum albumin, concanavalin, human serum amyloid protein, and Immunoglobulin G) from those that contain at least some regions of disorder (human lymphotactin, N-terminal p53, α-Synuclein, N-terminal MDM2, and p53 DNA binding domain) or denatured due to solvent conditions (ubiquitin, apo hemoglobin-α, apo hemoglobin-β) by considering two experimental parameters: the range of charge states occupied by the protein (Δz) and the range of collision cross sections in which the protein is observed (ΔCCS). We also provide a simple model to predict the difference between the collision cross sections of the most compact and the most extended form of a given protein, based on the volume of the amino acids it contains. We compare these calculated parameters with experimental values. In addition, we consider the occupancy of conformations based on the intensities of ions in the mass spectra. This allows us to qualitatively predict the potential energy landscape of each protein. Our empirical approach to assess order or disorder is shown to be more accurate than the use of charge hydropathy plots, which are frequently used to predict disorder, and could provide an initial route to characterization. Finally, we present an ESI-IM-MS methodology to determine if a given protein is structured or disordered.

Crosslinking-mass spectrometry (XL-MS) serves to identify interaction sites between proteins. Numerous search engines for crosslink identification exist, but lack of ground truth samples containing known crosslinks has precluded their systematic validation. Here we report on XL-MS data arising from measuring synthetic peptide libraries that provide the unique benefit of knowing which identified crosslinks are true and which are false. The data are analysed with the most frequently used search engines and the results filtered to an estimated false discovery rate of 5%. We find that the actual false crosslink identification rates range from 2.4 to 32%, depending on the analysis strategy employed. Furthermore, the use of MS-cleavable crosslinkers does not reduce the false discovery rate compared to non-cleavable crosslinkers. We anticipate that the datasets acquired during this research will further drive optimisation and development of XL-MS search engines, thereby advancing our understanding of vital biological interactions.