Biology subjects

Ralser, M.

Publications and source records attributed to Ralser, M..

At least 19 recordsLinked to original sources

bioRxiv2026

Reverse engineering Lewy bodies suggests alpha-synuclein pathology as condensatopathy

Understanding how soluble monomeric alpha-synuclein transitions into pathological alpha-synuclein (Lewy bodies) has remained a central challenge in neurodegeneration. Existing models, largely based on treating cells and animals with pre-formed alpha-synuclein fibrils cannot account for the emergence of the first inclusion without pre-existing seeds. Here, we combine in vitro reconstitutions, computational modeling and a minimal cellular system to show that phase separation of alpha-synuclein with an interacting scaffold can recapitulate Lewy body-like structures. An unbiased proteomics screen, live-cell imaging, correlative light-electron microscopy, and soft X-ray tomography show that Lewy body-like structures are associated with redistribution of actin and membrane-bound organelles, with mitochondria accumulating at their periphery in an actin-dependent manner. Structural analyses further indicate that alpha-synuclein condensates provide local environments in which the insoluble beta-sheets can form. Together, these findings support a seed-independent trajectory from soluble alpha-synuclein through condensation and progressive immobilization to Lewy body-like assemblies and, subsequently, insoluble beta-sheet fibrils. This framework offers a new mechanistic route for understanding the disease progression and promises to guide the design of innovative therapeutic interventions.

neuroscience↗

bioRxiv2026

A draft atlas of the human plasma proteome at isoform resolution

Key plasma protein, including albumin, complement system proteins, and coagulation factors circulate in biochemically and functionally distinct isoforms, or proteoforms. Despite the importance of these proteoforms being widely accepted, they are challenging to resolve systematically, and as a consequence, we still lack a more complete picture of the total proteoform diversity of the human plasma proteome. Here, we generated 3,114 intact protein fractions by extensively separating plasma according to isoelectric point and molecular weight. We then analysed these fractions by liquid chromatography data-independent acquisition mass spectrometry (DIA-MS) upon tryptic digestions, and combined the resultant data into a multidimensional, proteoform resolved atlas of the human plasma proteome. We report that 5,077 unequivocally detected plasma proteins circulate at least 179,049 distinct proteoforms, of which we detect 44,083, with a median of 11 proteoforms per protein, at high confidence. Substantially increasing the number of experimentally confirmed proteoforms, our atlas implies that the canonical protein forms account for less than half of the total protein mass in plasma. We detect the greatest proteoform diversity among the most abundant plasma proteins and those functioning in nutrient transport, complement and coagulation. Finally, our data clarifies discrepancies between the Olink and SomaScan proteomic platforms, as according to our atlas, these techniques provide correlated values for relatively abundant proteins with low to medium proteoform diversity, but struggle in the quantification of low-abundant proteins and on those which exist in many proteoforms. In sum, our data reveals extensive proteoform diversity of the human plasma proteome, and implies that proteoform diversity represents an enormous untapped reservoir for biomedical research and biomarker discovery.

biochemistry↗

bioRxiv2026

A microbial growth-coupled platform for in vivo interrogation of Rubisco oxygenase activity

Rubisco catalyzes the primary CO2-fixing reaction of the biosphere, yet its competing oxygenation reaction reduces net global carbon fixation and has resisted direct exploration in living cells. Here, we engineer an auxotrophic Escherichia coli strain in which 2-phosphoglycolate, the direct product of Rubisco oxygenation, becomes essential for growth, making bacterial fitness a quantitative proxy for oxygenation flux in vivo. This provides direct access to catalytic selectivity, something previously inaccessible to carboxylation-coupled assays. The platform enables screening of phylogenetically diverse Form II Rubisco and phosphoribulokinase (Prk) variants circumventing protein purification and extensive in vitro characterization. Adaptive laboratory evolution under oxygenation-selective pressure identified two mutations: Rubisco M115I genetically rebalances the in vivo carboxylation/oxygenation trade-off (resulting in 6-fold reduction in kcat,C), while Prk N216T improves overall flux without altering selectivity. This platform makes Rubiscos least-studied catalytic function selectable and evolvable in vivo, opening the carboxylation/oxygenation trade-off to systematic genetic dissection and engineering.

synthetic biology↗

bioRxiv2026

Human metabolites modulate antifungal efficacy and reveal creatinine-mediated antagonism of flucytosine

Clearing fungal infections can fail, even when the causative pathogen is susceptible to antifungal drugs in vitro. The reasons for this discrepancy often remain unclear. Here, we report that human metabolites affect antifungal drug efficacy. Studying Saccharomyces cerevisiae, we observed that human serum and common growth supplements alter the minimal inhibitory concentrations (MIC) across major antifungal classes, including fluconazole (FLC) and flucytosine (5-FC). To identify causal metabolites, we generated a library reflecting the physiological concentrations of 67 abundant blood metabolites. Assessing their impact on fungal fitness in the presence of antifungals revealed that creatinine, owing to its structural similarity to 5-FC, reduced the uptake and efficacy of 5-FC in S. cerevisiae, Candida albicans, and Nakaseomyces glabratus. Notably, 5-FC efficacy in urinary tract infections can be limited, and creatinine is highly concentrated in urine. We show that creatinine levels in urine increase the MIC of 5-FC in N. glabratus by approximately 100-fold, while reducing creatinine concentration in urine enhances 5-FC efficacy. Together, our findings highlight that drug interactions with creatinine and other human metabolites can strongly influence the activity of antifungals.

biochemistry↗

bioRxiv2026

Gene function and expression profiling in yeast spores, killifish diapause embryos, and their post-dormant offspring cells

Dormancy is a reversible cellular state characterised by suspended proliferation and increased stress resilience, enabling long-term viability under adverse conditions. Although dormant cells are critical for the life cycle of diverse organisms, from microbes to humans, they are understudied compared to proliferating cells. We present a comparative investigation of dormant cells in two divergent species: spores of fission yeast and diapause embryos of turquoise killifish. A genome-wide screen for genes affecting the lifespan and heat-shock resilience of spores uncovered a trade-off between longevity and heat resistance, and considerable differences in the genetic basis for lifespan between spores and chronologically aging yeast cells. RNA-seq and mass-spectrometry analyses revealed substantial transcriptomic and proteomic changes in spores and diapause embryos, with ribosomal proteins induced as transcripts but repressed as proteins. Transcriptomic regulation of biological processes, but less so of specific genes, is broadly conserved across yeast spores, killifish diapause, and human dormant cancer cells, including the induction of autophagy- and translation-related processes and the repression of cell cycle-related processes. Spores and diapause embryos modulate their transcriptomes and proteomes in response to heat stress and prolonged time. These RNA and protein expression changes are uncoupled and differ from aging-related expression signatures in yeast cells and adult fish. Cells derived from older or stressed spores retain phenotypic differences for several cell divisions, reflected in altered expression signatures, lifespan and stress resilience. Similarly, diapause duration and heat exposure are associated with long-term expression signatures in post-diapause embryos before hatching. This study highlights core biological processes and principles that are remarkably conserved in distinct types of dormant cells.

genetics↗

bioRxiv2026

Joint Variable Selection for Omic Biomarkers in Time-to-Event Data

The incidence of the vast majority of neurodegenerative, cancer, and metabolic diseases generally increases exponentially with age. In large-scale biobanks, linking time-to-diagnosis information in electronic health records to multiple genomic ("multiomics") measures has the potential to reveal the genes and biological pathways involved in the disease onset and progression. To date, association testing has commonly been conducted by testing one variable at a time using semiparametric Cox proportional hazards (CoxPH) models, which ignores correlation structure and increases the risk of false discoveries. To address these issues, we introduce a novel fully parametric Bayesian computational method, vampW, based on the Vector Approximate Message Passing framework applied to a Weibull model. vampW jointly models correlated features, while providing an interpretable hazard structure, producing a continuous survival curve, and incorporating prior knowledge. In an extensive simulation study, we demonstrate that joint modeling of omics data and time-to-event outcomes with vampW, substantially reduces false discoveries in comparison to marginal testing and other forms of joint CoxPH models. In 53,018 individuals from the UK Biobank, vampW identifies 219 protein associations with 24 disease outcomes, most of which are not among the top marginal discoveries. We further correct protein levels for exponential age effects, identifying 1,308 associations and highlighting the sensitivity of the analysis to age-correction methodology. Our findings replicate in independent cohorts using different measurement technologies, within data from Iceland and a novel Generation Scotland proteomics dataset. vampW also achieves significant improvement in the prediction of disease onset times: across 14 outcomes, it reduces the root mean squared error by over 32% and 26%, when compared to CoxPH variants and the deep learning approach DeepSurv, respectively, while maintaining predictive utility in minority populations. In summary, vampW offers accurate and interpretable variable selection and out-of-sample prediction within a single computational framework, making it a powerful tool for dissecting the genomic architecture of common complex disease onset.

bioinformatics↗

bioRxiv2026

Bro1-Mediated Trafficking Couples TOR Signalling to Cellular Metabolism and Longevity

Adaptation to nutrient availability requires coordination between growth control, metabolism, and intracellular trafficking. In eukaryotes, inhibition of Target of Rapamycin (TOR) signalling robustly promotes stress resistance and longevity, yet how reduced growth signalling is coupled to organelle dynamics and proteome remodelling remains unclear. Here, we identify the conserved ESCRT-associated protein Bro1 as a central integrator of TOR signalling, vacuolar trafficking, and metabolic adaptation. Using fission yeast, we show that Bro1 is required for normal lifespan and for the global proteomic reprogramming that accompanies TOR inhibition. In Bro1 mutant cells, repression of ribosome biogenesis is uncoupled from activation of catabolic, vacuolar, and metabolic pathways, resulting in an altered metabolic state characterised by elevated lipid metabolism and increased abundance of nutrient transporters. Mechanistically, Bro1 promotes TOR-dependent cargo deubiquitination, vacuolar trafficking, and turnover of plasma membrane hexose transporters and enables appropriate nuclear relocalisation of the transcriptional repressor Scr1. In the absence of Bro1, nutrient transporters persist at the cell surface despite TOR inhibition, conferring resistance to TOR inhibitors while impairing stress responses and reducing lifespan. Together, our findings establish Bro1 as a key coordinator linking ESCRT-mediated endosomal-vacuolar trafficking to TOR-dependent metabolic control. By coupling growth suppression to enhanced recycling and cellular maintenance, Bro1 enables the transition from growth to longevity-promoting states, revealing a mechanism connecting intracellular trafficking, metabolism, and ageing.

genetics↗

bioRxiv2025

Tolerance to the antifungal drug fluconazole is mediated by tuning cytoplasmic fluidity

Treatment failure rates for fungal infections cannot be explained simply by increased rates of drug resistance. Antifungal drug tolerance, the ability of a susceptible isolate to grow in the presence of inhibitory drug concentrations, relies upon a broad set of stress response pathways and can contribute to antifungal drug treatment failures. As the physical properties of the cytoplasm are critical for diverse cellular processes, we investigated whether cytoplasmic mesoscale fluidity is linked to antifungal tolerance, taking advantage of a fluorescent microrheological probe. Here, we show either using fluconazole, a common drug that inhibits ergosterol biosynthesis, or mutants in the ergosterol biosynthesis pathway, that cytoplasmic fluidity decreased and could be reversed upon drug removal. Reducing ribosome concentration decreased drug tolerance and restored cytoplasmic fluidity, highlighting a link between tolerance and cytoplasmic crowding and/or viscosity. However, growth in fluconazole did not increase ribosome concentrations; rather growth in fluconazole increased the number of dormant, hibernating ribosomes, cytoplasmic protein concentration, viscosity and condensate formation. Specifically, growth in fluconazole resulted in a substantial increase in processing bodies (P-bodies), whose presence correlated with azole tolerance. Furthermore, we found a substantial increase in cell-cell heterogeneity in all biophysical, biochemical and molecular outputs analyzed. Together, our results reveal that changes in the physical properties of the cytoplasm occur in response to antifungal drug and suggest that these changes, as well as increased cell-cell heterogeneity, are crucial for survival in fungistatic drugs.

microbiology↗

bioRxiv2025

The adaptive molecular landscape of reprogrammed telomeric sequences

Telomeric sequences vary across the tree of life and intimately co-evolve with telomere-binding protein complexes. However, the molecular mechanisms allowing organisms to adapt to new telomeric sequences are difficult to gauge from extant species. Here, we reprogrammed multiple yeast lines to human-like telomeric repeats to unveil their molecular and fitness response to novel telomeres. Initially, the exchange of telomere sequences resulted in genome instability, proteome remodelling and severe fitness decline. However, adaptive evolution experiments selected for repeated mutations that drove adaptation to the humanized telomeres. These consisted of the recurrent amplification of the telomere-binding protein TBF1, by complex aneuploidies, or in repeated mutations that attenuate the DNA damage response. Overall, our results outline a response that defines the adaptive molecular landscape to novel telomeric sequences.

evolutionary biology↗

bioRxiv2025

Interspecies interactions drive bacterial proteome reorganisation and emergent metabolism

Species in microbial communities must respond to the presence of others to stave off resource competition or to capitalise on new resources that may become available due to additional metabolic activities. Such metabolic interactions manifest in growth effects such as competitive exclusion or cooperative growth boost. However, intra-cellular molecular changes that underpin these responses are very sparsely studied, preventing mechanistic insights into community function and dynamics. Here, we analyse meta-proteomics and metabolomic responses in 104 pairwise co-cultures of 15 diverse gut bacteria in a nutrient-rich medium. These co-cultures span a diversity of ecological interactions with competition, amensalism and exploitation being prominent, and with around one in five positive interactions. The species in co-cultures feature substantial molecular responses, with typically more than 60% of the proteome changing in response to at least one partner. Even closely related species and ortholog proteins show different expression profiles in response to the same partner indicating functional diversification at both protein and species level. We show that the magnitude of these responses is determined by genome size, species abundance, and pH. Small-molecule transport and carbon metabolism are among the most responsive processes indicating pervasive metabolic interactions. Using metabolomics, we identify likely cross-fed metabolites, emergent polyamine metabolism, and niche partitioning in amino acid utilisation. Overall, our study shows how bacteria respond to the presence of other species through extensive remodelling of their proteome and metabolome.

microbiology↗

bioRxiv2025

Performance Characteristics of Zeno Trap Scanning DIA for Sensitive and Quantitative Proteomics at High Throughput

Proteomic experiments, particularly those addressing dynamic proteome properties, time series, or genetic diversity, require the analysis of large sample numbers. Despite significant advancements in proteomic technologies in recent years, further improvements are needed to accelerate measurement and enhance proteome coverage and quantitative performance. Previously, we demonstrated that incorporating a scanning MS2 dimension into data-independent acquisition methods (Scanning SWATH, or more generally scanning DIA) but also ion trapping, improves analytical depth and quantitative performance, especially in proteomic methods using fast chromatography. Here, we evaluate the scanning DIA approach combined with ion trapping via the Zeno trap in a method termed ZT Scan DIA, using a prototype Zeno trap Q-TOF instrument (SCIEX). Applying this method to established proteome standards across various analytical setups, enabling intermediate to high sample throughput, we observed a 30-40% increase in identified precursors. This enhancement extended to overall protein identification and precise quantification. Furthermore, ZT Scan DIA effectively eliminated quantitative bias, as demonstrated by its ability to deconvolute proteomes in multi-species mixtures. We propose that ZT Scan DIA can be used for a broad range of applications in proteomics, particularly in studies requiring high quantitative precision with low sample input and high-throughput workflows. Significance StatementThe advent of faster DIA proteomics methods paved the way for investigating increasingly large sample series, including patient cohorts and strain collections containing thousands of samples. Yet, recent improvements in DIA methods still entailed compromises between analytical sensitivity and selectivity. The presented combination of a scanning quadrupole with fast ion trapping in a Zeno Trap, coined ZT Scan DIA increases quantitative precision and accuracy in fast proteomics experiments. These features of ZT Scan DIA may benefit applications that deal with low input samples and high-throughput proteomic workflows in biomedical cohort studies and systems biology.

systems biology↗

bioRxiv2024

Dynamic cytoplasmic fluidity during morphogenesis in a human fungal pathogen

The molecular crowding of the cytoplasm impacts a range of cellular processes. Using a fluorescent microrheological probe (GEMs), we observed a striking decrease in molecular crowding during the yeast to filamentous growth transition in the human fungal pathogen Candida albicans. This decrease in crowding is due to a decrease in ribosome concentration that results in part from an inhibition of ribosome biogenesis, combined with an increase in cytoplasmic volume; leading to a dilution of the major cytoplasmic crowder. Moreover, our results suggest that inhibition of ribosome biogenesis is a trigger for C. albicans morphogenesis.

cell biology↗

bioRxiv2024

Drugs Commonly Used in Fungal Infection Risk Conditions Promote Drug Tolerance or Resistance in Candida albicans

BackgroundFungal infections are an increasing concern, particularly among immunocompromised patients and those with comorbidities who require multiple medications. However, the effects of drugs targeting human pathways on fungal cells, and whether they influence antifungal drug responses, are poorly understood. MethodsWe systematically analyzed clinical guidelines to shortlist non-antifungal drugs commonly used in conditions that increase the likelihood of fungal infections. Focusing on the most prevalent fungal pathogen, we then tested how these drugs affected the antifungal response of Candida albicans to two commonly used antifungals, fluconazole and anidulafungin. Drug interactions identified were further assessed using checkerboard and disk diffusion assays. Finally, antifungal treatment efficacy of fluconazole in combination with negatively interacting drugs was evaluated in an in vivo Galleria mellonella model of disseminated C. albicans infection. FindingsOut of 119 drugs frequently co-administered with antifungals in 40 conditions associated with a high risk of fungal infections, 34 compounds affected the antifungal drug response in C. albicans, with most drugs reducing or antagonising antifungal efficacy, several through increasing resistance or tolerance. Notably, fluconazole combinations with carvedilol and loperamide promoted antifungal resistance in both fungal cultures and in Galleria mellonella. InterpretationOur findings suggest that medications frequently taken by patients at risk of fungal infections regularly act on the fungal pathogens and can affect the effectiveness of antifungals. We propose that human drugs acting on fungal pathogens may be an underestimated factor contributing to the evolution of antifungal tolerance and resistance.

microbiology↗

bioRxiv2024

Rewired type I IFN signaling is linked to age-dependent differences in COVID-19

Advanced age is the most important risk factor for severe disease or death from COVID-19, but a thorough mechanistic understanding of the molecular and cellular underpinnings is lacking. Multi-omics analysis of samples from SARS-CoV-2 infected persons aged 1 to 84 years, revealed a rewiring of type I interferon (IFN) signaling with a gradual shift from signal transducer and activator of transcription 1 (STAT1) to STAT3 activation in monocytes, CD4+ T cells and B cells with increasing age. Diversion of interferon IFN signaling was associated with increased expression of inflammatory markers, enhanced release of inflammatory cytokines, and delayed contraction of infection-induced CD4+ T cells. A shift from IFN-responsive germinal center B (GCB) cells towards CD69high GCB and atypical B cells corresponded to the formation of IgA in children while complement fixing IgG was dominant in adults. Our data provide a mechanistic basis for inflammation-prone responses to infections and associated pathology during aging. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=144 SRC="FIGDIR/small/619479v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@723896org.highwire.dtl.DTLVardef@e12b2aorg.highwire.dtl.DTLVardef@d8de22org.highwire.dtl.DTLVardef@1df96ec_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2024

A genome-to-proteome atlas charts natural variants controlling proteome diversity and forecasts their fitness effects

Despite abundant genomic and phenotypic data across individuals and environments, the functional impact of most mutations on phenotype remains unclear. Here, we bridge this gap by linking genome to proteome in 800 meiotic progeny from an intercross between two closely related Saccharomyces cerevisiae isolates adapted to distinct niches. Modest genetic distance between the parents generated remarkable proteomic diversity that was amplified in the progeny and captured by 6,476 genotype-protein associations, over 1,600 of which we resolved to single variants. Proteomic adaptation emerged through the combined action of numerous cis- and trans-regulatory mutations, a regulatory architecture that was conserved across the species. Notably, trans-regulatory variants often arose in proteins not traditionally associated with gene regulation, such as enzymes. Moreover, the proteomic consequences of mutations predicted fitness under various stresses. Our study demonstrates that the collective action of natural genetic variants drives dramatic proteome diversification, with molecular consequences that forecast phenotypic outcomes. Highlights- Proteome diversity arises from natural genetic variants, with divergent proteomes in closely related parents and progeny. - Cis-regulatory elements had strong individual impacts, but coherent trans effects combined to dominate protein expression. - Directional selection and frequent transgression suggest much of the proteome is under selective pressure. - Many trans-regulators are enzymes or transporters, with fewer than 4% of pQTLs linking known interactors. - Genome-to-proteome connections predicted the fitness impact of mutations under various stresses, including a strong but hidden causal variant in IRA2/NF1.

systems biology↗

bioRxiv2024

An INS-1 beta-cell proteome highlights the role of fatty acid biosynthesis in glucose-stimulated insulin secretion

Pancreatic beta cells secrete insulin as a response to rising glucose level, a process known as glucose-stimulated insulin secretion (GSIS). In this study, we used liquid chromatography tandem mass spectrometry and data-independent acquisition to acquire proteomes of rat pancreatic INS-1 832/13 beta cells that were short-term stimulated with glucose concentrations ranging from 0 to 20 mM, quantifying the behavior of 3703 proteins across 11 concentrations. Ensemble clustering of proteome profiles revealed unique response patterns of proteins expressed by INS-1 cells. 237 proteins, amongst them proteins associated with vesicular SNARE interactions, protein export, and pancreatic secretion showed an increase in abundance upon glucose stimulation, whilst the majority of proteins, including those associated with metabolic pathways such as glycolysis, the TCA cycle and the respiratory chain, did not respond to rising glucose concentrations. Interestingly, we observe that enzymes participating in fatty acid metabolism, responded distinctly, showing a "switch-on" response upon release of glucose starvation with no further changes in abundance upon increasing glucose levels. We speculate that increased activity of fatty acid metabolic activity might either be part of GSIS by replenishing membrane lipids required for vesicle-mediated exocytosis and/or by providing an electron sink to compensate for the increase in glucose catabolism. Significance of the StudyWe used high-throughput proteomics to capture comprehensive proteome changes 30 minutes post stimulation in the INS-1 832/13 beta cell line. Our study provides insights into the metabolic regulation of glucose-stimulated insulin secretion in pancreatic beta cells, specifically highlighting the early role of fatty acid biosynthesis. These findings suggest a necessary shift in focus from electrochemical to metabolic mechanisms in understanding GSIS, paving the way for future research. As the first to document proteome alterations in the initial phase of GSIS, our study furthermore documents the extent of protein abundance variability when obtaining data after short stimulation times, and therefore highlights the necessity of well-controlled study design and biological replicates. The recorded data set complements existing metabolomic and transcriptomic studies, providing a valuable resource for subsequent investigations.

cell biology↗

bioRxiv2024

The Role of Metabolism in Shaping Enzyme Structures Over 400 Million Years of Evolution

The functions of cells and proteins depend on their biochemical microenvironment. To understand how biochemical constraints shaped protein structural evolution, we coupled the extensive genetic and metabolic data from the Saccharomycotina subphylum with the capability of AlphaFold2 to systematically predict protein structures from sequence. Determining how 11,269 enzyme structures catalysing 361 different metabolic reactions evolved over 400 million years alongside their molecular functions, we report that metabolism has shaped the structural evolution of enzymes at different levels: the organisms overall metabolism; the topological organisation of the metabolic network; and each enzymes molecular properties. For example, structural evolution depends on each enzymes reaction mechanism, on the variability rather than the amount of metabolic flux, and on biosynthetic cost. Evolutionary cost-optimization is stronger on highly abundant enzymes and acts differently on different structural domains, with the exception of small-molecule binding sites, which are prioritised over other structural domains and lack cost-optimisation. Finally, while enzyme surfaces are less constrained, surface residues can also be exposed to positive selection for the co-evolution of protein-protein interaction sites. Accessing AlphaFolds power to predict protein structures systematically and across species barriers, facilitating the integration of protein structures with functional genomics, we were thus able to map biological constraints which shape protein structural evolution at scale and over long timelines.

systems biology↗

bioRxiv2024

The Molecular Landscape of Cellular Metal Ion Biology

Metal ions play crucial roles in cells, yet the broader impact of metal availability on biological networks remains underexplored. We generated genome-wide resources, systematically quantifying yeast cell growth, metallomic, proteomic, and genetic responses upon varying each of its essential metal ions (Ca, Cu, Fe, K, Mg, Mn, Mo, Na, Zn), over several orders of magnitude. We find that metal ions deeply impact cellular networks, with 57.6% of the proteome, including most signalling pathways, responding. While the biological response to each metal is distinct, our data reveals common properties of metal responsiveness, such as concentration interdependencies and metal homeostasis. We describe a compendium of metal-dependent cellular processes and reveal that several understudied genes can be functionally annotated based on their metal responses. Furthermore, we report that metalloenzymes occupy central nodes in the metabolic network and are more likely to be encoded by isozymes, resulting in system-wide responsiveness to metal availability.

systems biology↗