Analytical Biochemistry

The primary question in this work is whether a turbidity trace contains more than one resolved kinetic event before any rate or aggregate-mass information is supplied. A blind, three-gate hierarchical Gompertz procedure applied to human interleukin-1 receptor antagonist (IL-1ra) at 53 {degrees}C in phosphate retained one phase at 1 and 2 mg/mL, but selected two phases at 5 and 10 mg/mL. Thus the first resolved multiphase behavior appears at the low protein concentration of 5 mg/mL. Source optical-rate markers were withheld until after selection. Those observed optical rates were then compared with blind-fit phase rates, and the same comparison was expressed on a conditional mass-equivalent scale using the published 5.3-fold Type-I/Type-II turbidity response ratio. A separate 50 {degrees}C citrate series (4, 6, 8, 10, and 14 mg/mL) also selected two phases in every retained trace; its printed Vmax values were used only as post-selection comparators. Finally, two challenging 40 {degrees}C high-concentration traces (180 and 200 mg/mL) were digitized from the instrument-output plot and each retained two phases. All three conditions are analyzed independently. Blind recognition is therefore the central result; the mass-equivalent conversion is a secondary, post-selection interpretation of optical phase rates. The absolute {micro}M/min scale remains conditional on an endpoint aggregate fraction measured elsewhere.

Surface plasmon resonance (SPR) and biolayer interferometry (BLI) are well-established label-free analytical technologies used to determine biomolecular interaction rates (ka, kd) and equilibrium constants (KD). While assays historically rely on multi-cycle kinetics (MCK), this approach requires intermediate surface regeneration, risking sensor degradation and increasing reagent consumption. Single-cycle kinetics (SCK) avoids regeneration by sequentially injecting increasing analyte concentrations. However, implementing SCK workflows on biosensor platforms like the OctetRR8 BLI instrument (Sartorius) remains a challenge due to the lack of built-in or online data analysis tools. To address this, we introduce SCKAnalyzer, a free, user-friendly web application designed for processing and fitting SCK datasets. SCKAnalyzer accepts column-based text files and native raw BLI data (.frd format) from Sartorius instruments, performing data pre-processing and non-linear fitting to a 1:1 interaction model. Additionally, it offers advanced simulation capabilities that allow variable association and dissociation durations across sequential injection steps, a feature absent in existing platforms such as BiacoreTMSimul8. The performance of SCKAnalyzer was experimentally validated using a 3-step SCK method (SCK3) for DNA/RNA duplex formation on a Biacore T200, as well as 4-step (SCK4) and 5-step (SCK5) methods for DNA/DNA duplex formation on an OctetRR8 BLI instrument. Binding parameters (ka, kd, KD) derived from SCKAnalyzer showed excellent agreement with values from established proprietary softwares such as Biacore T200 Evaluation Software v3.2.1 and BIAevaluation v4.1.1. SCKAnalyzer provides a practical alternative to MCK, reducing probe consumption and extending SCK utility across biosensor platforms. SCKAnalyzer is available at sck.iecb.u-bordeaux.fr (source code: github.com/synthaze/sckanalyzer).

High dietary fructose consumption is a major contributor to the development of obesity and related cardiometabolic diseases, highlighting the need for accurate assessment of fructose metabolism in humans. Stable isotope tracer approaches, such as 13C6-fructose, require highly sensitive and specific analytical methods to quantify both concentrations and isotopic enrichments. In this study, we developed and validated a robust gas chromatography-triple quadrupole mass spectrometry (GC-QQQ)-based method for the simultaneous measurement of unlabeled and 13C6-fructose in human plasma. The method employs oximation and per-acetate derivatization, and demonstrates high specificity and accuracy. Intra- and inter-assay precision were below 10%, with no detectable carry-over, and a lower limit of quantification (LLOQ) of 0.1 nmol/mL for concentration and 0.02 molar percent excess (MPE%) for enrichment and no interference from glucose. We further compared data acquisition using multiple reaction monitoring (MRM) and selected ion monitoring (SIM). MRM showed superior performance at the low concentrations and enrichment levels characteristic of clinical plasma samples, resulting in improved sensitivity and lower LLOQs compared to SIM. Overall, this validated method provides a sensitive and reliable approach for fructose tracer studies in humans. Its application will facilitate robust investigations into fructose metabolism, and its role in metabolic dysregulation and obesity-related disease.

Obtaining sufficient amounts of pure protein for downstream applications such as native mass spectrometry (nMS) is often challenging, especially when expression yields are low or proteins are unstable. In these cases, the commonly required buffer-exchange step is a major bottleneck, as it often leads to substantial protein loss and compromises biophysical characterization. These challenges are exacerbated in insect or eukaryotic expression systems, where protein yields are typically lower than in bacteria, making protein loss during purification particularly detrimental. Standard lysis and purification buffers contain non-volatile components such as Tris, phosphate, HEPES and sodium chloride, which form adducts during electrospray ionization (ESI) interfering with the signal and therefore must be re-moved prior to nMS. To address protein loss associated with this mandatory buffer-exchange, we evaluated an affinity-purification workflow, in which non-volatile salts are excluded throughout purification and proteins are directly eluted into nMS-compatible ammonium acetate-based buffers. This approach eliminates the need for a separate buffer exchange step and enables rapid nMS analysis immediately after affinity purification. We show that common eluents used in His- and Strep- based affinity purification, such as imidazole, biotin, and desthiobiotin, are well tolerated at relevant concentrations, allowing acquisition of high-quality spectra suitable for determining protein stoichiometry and for monitoring enzymatic or assembly processes. Together, this fast-track affinity workflow increases protein recovery, shortens sample preparation and complements online exchange protocols, which are less suited for monitoring processes. It hence expands the applicability of nMS to proteins and protein complexes that are difficult to obtain in sufficient quantity using conventional purification and buffer exchange strategies.

Oxylipins are potent signaling lipids that affect inflammation, vascular tone, and metabolism, making them relevant in many diseases. Oxylipins are measured with liquid chromatography-mass spectrometry (LC-MS), but challenges in quantification arise due to low abundance and rapid degradation. In this study, we optimize LC-MS methods to improve the quantification of oxylipins in human plasma given growing interest in oxylipins and their impact on clinical research. Plasma samples were obtained from healthy participants and extracted by solid-phase extraction to concentrate the oxylipins. We then utilized a reversed phase targeted LC-MS/MS method using an Agilent 6495D triple quadrupole with transitions for 248 oxylipin species. Ion funnel voltages were set at 50 or 100 volts. Given the rapid degradation of oxylipins with bio-reactive surfaces, we compared both standard and Altura (bio-inert) columns, as well as standard and bio- inert LC setups. We observed that ion funnel parameters significantly alter detectable levels of oxylipins within LC-MS/MS analysis. By decreasing voltages applied to ions inside the ion funnel, signal was increased for most oxylipin species while peak quality was maintained. We also demonstrated that fully bio-inert setups quantify more compounds and show increased levels of some compounds, but fewer epoxyoctadecadienoic acid (EpODE) species. To explore this further, we injected analytical grade alpha-linolenic acid (ALA), the direct precursor of EpODEs, and observed formation of EpODEs within the instrumentation when using stainless steel columns. Our data shows that oxylipins benefit from fully bio-inert systems and optimized pre-mass analyzer parameters. The stainless-steel components of the column may also be contributing to epoxidation reactions of polyunsaturated fatty acids (PUFAs), generating oxylipin species during analysis. Finally, we utilized this method to perform oxylipin analysis in other human tissues including granulocytes, mononuclear cells, erythrocytes, skeletal muscle, and THP-1 cells, a human derived monocyte cell line.

Background Mitochondrial dysfunction and abnormal cerebral energy metabolism are implicated in many neuropsychiatric and neurodegenerative disorders. 13C magnetic resonance spectroscopy (MRS), combined with 13C-labeled substrate infusion, offers a non-ionizing, minimally invasive method for assessing fluxes through the main cerebral energy metabolism pathways. However, its human application at 7 T has not been fully established, especially within the frontal lobe. Purpose To explore a clinically translatable interleaved 1H/13C MRS protocol for quantification of cerebral glucose uptake and downstream metabolism at 7 T, and to estimate the tricarboxylic acid (TCA) cycle flux (VTCA) for validation. Study Type Prospective. Population Three young healthy volunteers. Field Strength/Sequence 7T; ACE-STEAM (indirect 1H-[13C]) and ISIS-DEPT (direct 13C-[1H]). Assessment ACE-STEAM and ISIS-DEPT were applied to acquire the time-resolved spectra in the frontal lobe. 13C-labeled glucose, glutamate, and glutamine fractional enrichment time courses were quantified to estimate VTCA through the one-compartment model. Statistical Tests The relative estimated fitting uncertainties (EFUs) were reported for the processed spectra. Nonlinear least squares minimization was used for flux fitting of 13C traces. Uncertainty of the estimated metabolic fluxes was evaluated using Monte-Carlo simulations. Results [1-13C]-glucose (GlcC1) was detected immediately on 13C MR spectra, followed by 13C-labeled GluH4 and GlnH4 and then GlxH3 can be quantified on 1H MR spectra. End-of-infusion mean enrichments were 17% (GluH4), 13% (GlnH4), and 7% (GlxH3). Brain glucose concentration ranged 1.86-2.94 mM, with 61% of the mean enrichment in C1. Group-average VTCA was 0.66 {+/-} 0.07 mol/g/min. Data Conclusion This interleaved 1H/13C MRS protocol enables minimally invasive quantification of cerebral metabolic fluxes, may provide a useful framework for investigating neuropsychiatric and neurodegenerative diseases at 7 T. Evidence Level 1. Technical Efficacy Stage 1.

Precise quantification of myofilament protein phosphorylation is essential for understanding the regulation of cardiac contractility in health and disease. Although Phos-tag SDS-PAGE is widely used to resolve phosphorylated protein isoforms, its reproducibility and quantitative reliability are often limited by variability in the key experimental factors, including gel composition, electrophoretic conditions, protein loading, and sample preparation. Here, we present a standardized manganese (Mn2+)-Phos-tag SDS-PAGE workflow optimized for cardiac myofilament proteins, using myosin regulatory light chain 2 (MLC2) and cardiac troponin I (cTnI) as model targets. We systematically evaluated critical parameters - including Mn2+ and Phos-tag concentrations, acrylamide composition, electrophoretic regime, buffer chemistry, protein loading, and EDTA-mediated transfer - to define conditions that maximize phospho-species resolution while preserving quantitative fidelity. We further demonstrate that electrophoresis rate, sample loading, and extraction strategy significantly influence band morphology, signal intensity, and the apparent distribution of phospho-species. As a use case scenario, we compared Trichloroacetic acid (TCA) extracted mouse left ventricular homogenates with myofibrils prepared using a widely adopted Triton-X-100 tissue-demembranization protocol. Myofibril preparation was associated with profound MLC2 dephosphorylation at the earliest stages of preparation, whereas cTnI exhibited a marked reduction in higher-order, low-stoichiometry phosphoforms. Further evaluation of Myosin-binding protein C (MyBP-C) showed progressive loss of phosphorylation over the course of 24 hours. We submit that TCA-extracted heart standards in combination with Phos-tag gels can provide valuable quality control for the phosphorylation status of myofibril preparations, and that inclusion of a high-affinity PP2A and PP1 phosphatase inhibitor like okadaic acid may benefit future myofibril mechanics studies.

Epigenetic regulation of chromatin dynamics via histone acetylation is one of several mechanisms by which eukaryotes regulate gene expression, DNA replication and repair, and maintain genome stability. This function is performed by histone acetyltransferases (HATs). Rtt109 is one such cytoplasmically localized HAT required for H3K56 acetylation found exclusively in fungi. Using recombinantly expressed Candida albicans Rtt109 and its chaperones, Vps75 and Asf1, we show that it can acetylate a 20-residue N-terminal H3 peptide in a coupled HAT assay only in the presence of Vps75, but not in the presence of Asf1 in vitro. This appears to be due to the fact that Rtt109-Vps75 is a high affinity stable complex, as estimated by biolayer interferometry (BLI) and gel filtration studies. The HAT activity of the Rtt109-Vps75 complex necessarily requires a flexible 118-160 residue loop of Rtt109 but not the C-terminal domain of Vps75. These results are comparable with what has been observed for the Saccharomyces cerevisiae Rtt109 homolog. In silico screening of 1,350,000 molecules from Life Chemicals Databases identified some likely inhibitors of C. albicans Rtt109 and six of them tested for binding to Rtt109 using BLI. The best ligand, F2368-0266, was used to study its effect on steady state enzyme kinetics, and found to be a competitive inhibitor of the peptide substrate but not of acetyl-CoA. Given the importance of Rtt109 in regulating virulence attributes such as hyphal morphogenesis and GPI biosynthesis in Candida albicans, and its effect on fungal pathogenesis, these results have significant clinical implications.

Affinity purification-mass spectrometry (AP-MS) enables the characterization of protein-protein interactions (PPIs), and the ease and sensitivity of such experiments has progressively increased. Beyond steady-state interactions of target proteins, a strong interest has emerged in monitoring how PPIs change upon significant biological perturbations, such as in disease contexts or small molecule modulation of the target protein. These perturbations likely not only induce PPI changes but can also lead to altered expression of proteins not of direct interest. Changes in protein abundance may alter which proteins adsorb to the affinity purification matrix, and due to the sensitivity of modern mass spectrometers, these differential ''background binders'' can masquerade as differential interactors. Contemporary approaches often do not account for differences in the background proteome, potentially inflating the number of false positives and negatives reported. Here, we provide technical considerations for the reliable annotation of dynamic PPIs, using the O-GlcNAc transferase (OGT) as a case study. We describe the installation of affinity epitope tags on endogenous OGT in mouse embryonic stem cells (mESCs), which we then apply for OGT interactor identification via AP-MS. We show that accurate representation of the bead background, which depends on the affinity matrix in use, is critical for elimination of false positive and false negative PPIs. This became even more pertinent as OGT PPI dynamics were measured under OGT catalytic inhibition via OSMI-4, which is known to perturb gene expression. The proteomes of OSMI-4-treated and control-treated mESCs differed, leading to distinct bead backgrounds in which the differential background proteins appeared as interaction gains or losses. These false positives were resolved by incorporating straightforward experimental controls through a practical statistical framework, allowing for a direct and confident comparison between treatment conditions. Incorporating these considerations into workflows investigating PPI dynamics will improve data fidelity and reproducibility.

mRNA vaccines constitute a promising new platform for infectious disease prevention, having demonstrated their efficacy in response to the COVID-19 pandemic. While mRNA attributes such as purity, integrity, 5'-capping, polyA tail length, and nucleobase lipidation are critical to vaccine efficacy, another key attribute of any vaccine mRNA is its translatability - that is, how much antigen protein is produced by ribosomal translation. To assess mRNA translatability, cell-free translation (CFT) can be employed. Advantages of CFT include its rapid readout (~5 hours), minimal sample consumption, and measurement of antigen translation directly from mRNA, thereby eliminating any variability associated with cell transfection efficiency. This is in contrast to cell-based methods, which require larger amounts of mRNA material and formulation in lipid nanoparticles or lipofectamine to facilitate cell transfection. When developing a CFT method to assay mRNA translatability, one key consideration is which CFT system to use as there are several commercially available systems from a variety of different organisms and cell types. Presented here is the evaluation of three eukaryotic CFT systems - wheat germ extract (WGE), rabbit reticulocyte lysate (RRL), and HeLa cell lysate (HCL) - for the purpose of developing an analytical method to assay the translatability of mRNA. The dynamic range, linear range, sensitivity to thermal stress, and sensitivity to potential impurities (e.g., EDTA, double-stranded RNA) were determined for each system. Although HCL translated less protein than either WGE or RRL systems, it showed several advantages, notably a larger linear range and greater sensitivity to mRNA thermal stress and dsRNA impurities. Therefore, while it is still worthwhile to screen different CFT systems, the results presented here suggest that HCL should be strongly considered when developing an analytical method to assay translatability for mRNA vaccines.

Multimodal imaging workflows increasingly require multiple analytical techniques to be applied to the same tissue section to improve spatial co-registration and molecular interpretation. Polyethylene naphthalate (PEN) membrane substrates are attractive for this purpose because of their low thickness and compatibility with downstream modalities, but their use for matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI MSI) remains challenging due to low conductivity, reduced ion yield and susceptibility to laser-induced damage. In this study, MALDI MSI conditions for small-molecule analysis on PEN substrates were systematically optimised using bovine brain homogenate and mouse brain tissue using a TimsTOF flex MALDI-2 platform. Matrix selection, laser energy, pixel size (5 and 20 m), ionisation mode and PEN type were evaluated to identify acquisition conditions that balanced signal intensity with spectral quality and preservation of sample and membrane integrity. Among the matrices tested, 1,5-diaminonaphthalene (DAN) resulted in the best overall performance, providing higher ion intensities, less damage to the PEN substrates and a broader usable laser energy range than the other matrices tested. Different PEN substrate formats were also compared, showing distinct trade-offs between analytical performance and practical suitability for multimodal analysis. Under the tested conditions, glass-supported PEN (gPEN) provided the most practical overall compromise, while frame-supported PEN was not suitable for routine analysis on the instrument configuration used. Application of the optimised method to mouse brain tissue confirmed that spatially resolved metabolite imaging on PEN substrates is feasible and can support same-section multimodal workflows.

The binding affinities of a chimeric analog of a riboflavin derivative linked to biotin, (6- (7,8-dimethyl-2,4-dioxo-3,4-dihydrobenzo[g]pteridin-10(2H)-yl)hexyl 5-((3aS,4S,6aR)-2- oxohexahydro-1H-thieno[3,4-d]imidazol-4-yl)pentanoate), referred to as C6-Rf-biotin-tag, to the riboflavin binding retain or streptavidin are in the M range, 1.29 {+/-} 0.277 and 3.00 {+/-} 0.459, respectively. These values suggest that C6-Rf-biotin-tag has potential applications in diagnostic assay and labelling target flavin binding proteins. The C6-Rf-biotin-tag which was characterized with respect to physical and biochemical properties retains UV/Vis spectroscopic and fluorescence behavior similar to riboflavin.

Background: Acute phase response is an early immunometabolic response to brain injuries, primarily coordinated by the liver via the activation of acute phase proteins. These immune responses can be both beneficial, promoting tissue repair, and detrimental, exacerbating neurological deficits, if not properly controlled. Despite the central role of the liver in immunometabolism, how hepatic metabolism dynamically adapts to traumatic brain injury remains under explored, primarily due to limited liver-specific modalities that can assess metabolic pathways in vivo. 13C MRI utilizing hyperpolarized 13C-pyruvate can assess key regulatory enzyme activities in hepatic metabolism. Methods: Rats with controlled cortical impact were studied in vivo using hyperpolarized [1-13C]pyruvate and [2-13C]pyruvate under fed and fasted conditions 3-4 days after injury. Hyperpolarized 13C products, including [13C]bicarbonate from [1-13C]pyruvate and [5-13C]glutamate, [1-13C]acetyl-L-carnitine, and [2-13C]phosphoenolpyruvate from [2-13C]pyruvate, were evaluated to assess mitochondrial and gluconeogenic metabolism. In parallel, liver tissues were collected following [U-13C3]pyruvate injection for NMR isotopomer analysis of phosphoenolpyruvate, glucose, and glutamate. Results: While no metabolic differences were detected under fed condition, [13C]bicarbonate and [2-13C]phosphoenolpyruvate increased after brain injury under fasted condition, indicating an upregulation of the hepatic gluconeogenic pathway after injury. 13C NMR of liver tissue extracts from injured rats showed an elevated [2,3-13C2]glutamate-to-[4,5-13C2]glutamate ratio and increased 13C-labeling in phosphoenolpyruvate than controls, confirming enhanced hepatic gluconeogenic pathway. Conclusion: This study demonstrates that hepatic acute phase response to brain injuries can be monitored in vivo by hyperpolarized pyruvate, which may be further utilized for longitudinal immunometabolic evaluation of the liver during pathogenesis and therapeutic interventions.

Variable-temperature electrospray ionization native mass spectrometry (vT-ESI nMS) provides a means to determine how temperature-dependent changes in protein and solution dynamics influence individual ligand-binding reactions within multiligand protein complexes. Here, the GroEL single-ring mutant (SR1), which binds up to seven nucleotides, serves as a model system due to its sensitivity to solution conditions. Native MS resolves individual ligand-bound populations, while vT-ESI extends these measurements across temperature (3-43 {degrees}C), enabling determination of binding affinities and the associated Gibbs free energy, enthalpy, entropy, heat capacity changes ({Delta}Cp), and enthalpy-entropy compensation (EEC) for each binding reaction. Temperature-dependent changes in van,t Hoff curvature produce distinct {Delta}Cp profiles, indicating changes in the dynamics governing ligand binding that may reflect contributions from protein conformational and protonation microstates. Temperature-dependent shifts in average charge state, consistent with changes in solvent-accessible surface area, indicate corresponding changes in protein conformation. Binding is predominantly enthalpy-driven below ~23 {degrees}C, with increasing entropic contributions at higher temperatures, while the seventh ADP binding reaction exhibits a distinct EEC profile. Comparison of the seventh ADP binding reaction in H2O and D2O reveals pronounced differences in van,t Hoff curvature,{Delta}Cp, and EEC, demonstrating that changes in the hydration environment alter the thermodynamic response. Collectively, these measurements show that temperature-dependent changes in protein and solution dynamics alter the distributions and thermodynamics of individual ligand-bound states and demonstrate the utility of vT-ESI nMS for resolving these effects in complex multiligand systems.

Transition-metal ion Forster resonance energy transfer (tmFRET) measures short-range distances and conformational changes in proteins, but its distance sensitivity depends on the donor-acceptor pair. Here, we establish the metal-chelating noncanonical amino acid bipyridylalanine (bpyA) as a flexible, genetically encoded acceptor platform whose Forster distance (R0) can be tuned without changing protein labeling. Cu2+, Cu2+ complexed with nitrilotriacetic acid (NTA), and Fe2+ form distinct acceptors at the same bpyA site, allowing distance sensitivity to be adjusted by changing the solution conditions. We incorporated bpyA at two sites in maltose binding protein (MBP) and labeled nearby engineered cysteines with the donor fluorophore BODIPY. The resulting [Cu(bpyA)]2+, [CuNTA(bpyA)]2+, and [Fe(bpyA)]2+ acceptors provided R0 values ranging from 13.9 to 21.2 [A]. Analysis of time-resolved tmFRET data recovered donor-acceptor distance distributions and maltose-dependent changes consistent with structural predictions. At the 237/295 site pair, both copper and iron acceptors resolved the maltose-dependent decrease in distance. At the 309/322 site pair, [Cu(bpyA)]2+ did not appreciably resolve the distance increase, whereas adding NTA shifted R0 toward shorter distances and enabled detection of an increase from 12.1 to 14.4 [A]. These results demonstrate that a single bpyA-labeled protein preparation supports multiple tmFRET acceptors, providing a cysteine-independent acceptor-labeling strategy with adjustable distance sensitivity.

Retinoic acid signaling is critical for cardiac development and homeostasis. Dysregulation of all-trans retinoic acid metabolism contributes to vascular atherogenesis, restenosis, calcification, and heart failure. Therefore, assessment of proteins involved in retinoid metabolism and signaling has gained interest for identifying potential biomarkers and therapeutic targets in cardiovascular disease. However, quantifying these proteins remains challenging due to limitations of antibody-based methods. We developed a targeted proteomics approach using SureQuant internal standard-triggered parallel reaction monitoring mass spectrometry to profile these proteins. We designed a panel of 80 stable isotope-labeled (heavy) peptides representing proteins involved in retinoid signaling and metabolism, with sequences applicable to human samples and conserved across multiple species. Survey experiments using directed data-dependent acquisition on the Orbitrap Fusion Lumos mass spectrometer determined precursor and product ion masses for each heavy peptide, which were programmed into the SureQuant method for continuous monitoring. Upon detection of these heavy internal standards, the instrument transitions to a targeted PRM acquisition mode in which repeated high-resolution MS/MS spectra of both endogenous (light) and heavy peptides are acquired. Using this method, retinoid pathway-associated proteins were quantified to as low as 10 attomoles for selected targets across multiple tissues and developmental stages. Distinct tissue-specific retinoid metabolic networks were identified across lung, liver, retinal cell lines and cardiac tissues. Developmental profiling of mouse and rat hearts revealed remodeling of retinoid pathway proteins from embryonic to postnatal and adult stages, suggesting a functional transition from retinoid-driven cardiac development toward maintenance of retinoid homeostasis in the mature heart.

Anaerobic ammonium-oxidizing (anammox) bacteria are essential players in the global nitrogen cycle, responsible for converting ammonium and nitrite directly to nitrogen gas. Anammox bacteria have unique features such as a specialized cellular compartment - the anammoxosome. Candidatus (Ca.) Brocadia pituitae genome, as other anammox bacteria, encodes for a diversity of hydroxylamine oxidoreductase (HAO) paralogs, often pointed out as the enzymes responsible for most of the reactions of the anammox cycle. One of this Ca. B. pituitae HAO paralogs is an 840-amino acids protein, named here as BpMHAO, that stands out for its unprecedented domain organization, which includes a multicopper oxidase-like (MCo-like) domain followed by the HAO-like one. Sequence and structural analyses classified this MCo-like domain as homologous to the small laccase family. Spectroscopic characterization revealed a distinct UV-visible spectrum, tentatively assigned to the T3 center, whereas the EPR spectra confirmed the presence of T1, T2 and T3 copper centers. Enzymatic studies demonstrated limited laccase and oxygen-dependent ferroxidase activities. On the other hand, enzymatic assays performed in cell extracts from Escherichia coli and Shewanella oneidensis, harbouring the recombinant HAO-like domain, exhibited a robust hydroxylamine reductase activity using methyl viologen as the electron donor. Our results showed that the BpMHAO potentially plays a role in the anammox process/reactions by converting hydroxylamine into hydrazine. This feature can be relevant to anammox bacteria either by i) mitigating unwanted hydroxylamine, obtained by incorrect formation of this compound, by converting it into hydrazine and enabling its use in the anammox reaction or ii) using hydroxylamine from the outside medium as a substitute for ammonium, delivering hydrazine directly to the last step of the cycle, short-circuiting its first steps.

Numerous CRISPR-Cas systems have been developed for molecular detection of genetic elements exploiting the trans-cleavage activity of LbCas12a combined with short fluorescent probes. Alongside, a large variability of buffer conditions has been reported. However, how solution chemistry balances enzymatic turnover, signal stability, and detection performance have not been systematically defined. Here, we evaluated how the interplay between anions (chloride vs. acetate), additives, sequence probes, and ionic strength contributes to LbCas12a trans-cleavage activity. Buffer composition screening revealed that chloride-based buffers maintain a low background but slow catalytic rates, meanwhile acetate-based buffers accelerate enzymatic turnover with and without the target DNA sequence, increasing non-specific signals. Reducing agents and surfactants were the best enhancer combinations, improving cleavage performance by increasing ternary complex formation (Km). High salt concentrations only slightly improved the reaction kinetics. Finally, the 5FAM-TTATT-3BHQ-1 reporter showed the best balance between signal intensity and nonspecific background. Our findings indicate that LbCas12a tolerates a vast buffer composition landscape, maintaining robust trans-cleavage activity and detection performance. However, conditions that enhance catalytic activity simultaneously increase nonspecific probe cleavage and higher background, resulting in lower detection performance. Therefore, assay optimization should prioritize detection performance rather than maximal fluorescence output, where solution chemistry is a critical determinant.

Proteolysis can be completed in a single-step, rapid (5-30 minutes) reaction using hyperthermoacidic archaeal (HTA) proteases. Protocol simplicity and stability of HTA proteases in ambient storage conditions removes many logistical barriers to widespread deployment of proteomic analysis. HTA protease cleavage selectivity is complicated but quantitatively reproducible and generates peptides that negligibly overlap with trypsin. Tryptic and HTA protease peptides emphasize different proteins and provide complementary coverage of amino acid sequence and post-translational modification (PTM) sites. Digestion of a sample's separate aliquot with HTA protease is a minor addition to trypsin-based workflows, but LC-MS analysis of both sets of peptides is not practical for large cohorts. This manuscript evaluates the identifications and reproducibility of LC-MS analysis of tryptic and HTA protease peptide mixtures. Adding HTA protease peptides to 20% increased total protein identifications by 24% on average in neat plasma and identified 216 additional non-artifact modifications compared to conventional trypsin-only bottom-up proteomic analysis. This approach is reproducible and does not increase sample preparation or analysis time. Peptides from each protease present independent opportunities to quantify overlapping proteins and a quantification model was developed in which the protease with the most complete data is selected for each protein while the second protease is used to infer missing values. This cross-protease inference is more accurate than the alternative minimum, mean, or nearest neighbor imputations. Finally, biomarkers discovered through HTA protease peptides are amenable to rapid HTA protease only proteomic workflows thus streamlining translation from discovery to fieldable applications.

Glyoxal (GO) is a small, highly reactive molecule that is produced naturally in cells during normal metabolism and can also come from processed foods and oxidative stress. Because of its high reactivity, glyoxal can modify DNA and proteins to form harmful products called advanced glycation end-products (AGEs), which have been linked to diseases such as diabetes, cancer, and aging. Although glyoxal is known to modify DNA and proteins, it is not well understood whether it can form DNA-protein crosslinks (DPCs), a type of DNA damage in which proteins become permanently attached to DNA. In this study, we investigated glyoxal induced DPC formation in HeLa cells using biochemical assays and mass spectrometry-based proteomics experiments. We observed that glyoxal exposure elevated cellular DPC formation in a concentration- and time-dependent manner. Cells with reduced SPRTN expression accumulated higher levels of DPCs, suggesting that SPRTN plays an important role in repairing glyoxal induced DNA damage. Proteomics experiments revealed 469 proteins exhibited elevated DNA association in glyoxal-treated samples, including histones and other proteins involved in chromatin organization, DNA replication, DNA repair, and gene expression. In-vitro experiments confirmed that glyoxal can directly crosslink DNA with histone proteins. Overall, this study provides the first evidence that glyoxal forms DNA-protein crosslinks in human cells. These findings provide a foundation for future studies on the chemical structure, biological effects and repair of glyoxal induced DNA-protein crosslinks and their possible role in human disease.