SEARCH · bioRxiv Science

Results for “molecular biology”

Search indexed bioRxiv preprints in genomics, neuroscience, cell biology and bioinformatics. Read source abstracts and check manuscript versions; preprints are not peer reviewed.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 541 records · Page 30Linked to original sources

bioRxiv2022

Receptor interacting protein kinase-3 promotes both myopathy and cardiomyopathy in dystrophin-deficient mice

BackgroundDuchenne muscular dystrophy (DMD) is a progressive muscle degenerative disorder, culminating in a complete loss of ambulation, hypertrophic cardiomyopathy and a fatal cardiorespiratory failure. Necroptosis is the form of necrosis that is dependent upon the receptor-interacting protein kinase (RIPK) 3; it is involved in several inflammatory and neurodegenerative conditions. We previously identified RIPK3 as a key player in the acute myonecrosis affecting the hindlimb muscles of the dystrophic mouse model, mdx. Whether necroptosis also mediates respiratory and heart disorders in DMD is currently unknown. MethodsEvidence of activation of the necroptotic axis was examined in dystrophic tissues from Golden retriever muscular dystrophy (GRMD) dogs and R-DMDdel52 rats. A functional assessment of the involvement of necroptosis in dystrophic animals was performed on mdx mice that were genetically depleted for RIPK3. Dystrophic mice aged from 12 to 18 months were analyzed by histology and molecular biology to compare the phenotype of muscles from mdxRipk3+/+ and mdxRipk3-/- mice. Heart function was also examined by echocardiography in 40-week-old mice. ResultsQuantification of RIPK3 transcripts in sartorius and biceps femoris muscles from GRMD dogs positively correlated to myonecrosis levels (r=0.81; p=0.0076). RIPK3 was also found elevated in the diaphragm (p=0<0.05). In the slow progressing heart phenotype of GRMD dogs, the phosphorylated form of RIPK1 at the Serine 161 site was dramatically increased in cardiomyocytes. A similar p-RIPK1 upregulation characterized the cardiomyocytes of R-DMDdel52 rats, associated with a marked overexpression of Ripk1 (p=0.007) and Ripk3 (p=0.008), indicating primed activation of the necroptotic pathway in the dystrophic heart. MdxRipk3-/- mice displayed decreased compensatory hypertrophy of the heart (p=0.014), and echocardiography showed a 19% increase in the relative wall thickness (p<0.05) and 29% reduction in the left ventricle mass (p=0.0144). Besides, mdxRipk3-/- mice presented no evidence of a regenerative default or sarcopenia in skeletal muscles, moreover around 50% less affected by fibrosis (p<0.05). ConclusionsOur data provide evidence of the activation of the necroptotic pathway in degenerative tissues from dystrophic animal models, including the diaphragm and the heart. The genetic inhibition of necroptosis in dystrophic mice improves both cardiac function and histological features of muscles, suggesting that prevention of necroptosis is susceptible to providing multiorgan beneficial effects for DMD.

cell biology↗

bioRxiv2022

High-throughput direct screening of restriction endonuclease using microfluidic fluorescence-activated drop sorter based on SOS response in E. coli

A restriction endonuclease (RE) is an enzyme that can recognize a specific DNA sequence and cleave that DNA into fragments with double-stranded breaks. This sequence-specific cleaving ability and its ease of use have made REs commonly used tools in molecular biology since their first isolation and characterization in 1970s. While artificial REs still face many challenges in large-scale synthesis and precise activity control for practical use, searching for new REs in natural samples remains a viable route for expanding the RE pool for fundamental research and industrial applications. In this paper, we propose a new strategy to search for REs in an efficient fashion. Briefly, we construct a host bacterial cell to link the RE genotype to the phenotype of {beta}-galactosidase expression based on the bacterial SOS response, and use a high-throughput microfluidic platform to isolate, detect and sort the REs. We employ this strategy to screen for the XbaI gene from constructed libraries of varied sizes. In single round of sorting, a 30-fold target enrichment was obtained within 1 h. The direct screening approach we propose shows potential for efficient search of desirable REs in natural samples compared to the conventional RE-screening method, and is amenable to being adapted to high-throughput screening of other genotoxic targets.

bioengineering↗

bioRxiv2022

The histone code of the fungal genus Aspergillus uncovered by evolutionary and proteomic analyses

Chemical modifications of DNA and histone proteins impact the organization of chromatin within the nucleus. Changes in these modifications, catalyzed by different chromatin-modifying enzymes, influence chromatin organization, which in turn is thought to impact the spatial and temporal regulation of gene expression. While combinations of different histone modifications, the histone code, have been studied in several model species, we know very little about histone modifications in the fungal genus Aspergillus, whose members are generally well-studied due to their importance as models in cell and molecular biology as well as their medical and biotechnological relevance. Here, we used phylogenetic analyses in 94 Aspergilli as well as other fungi to uncover the occurrence and evolutionary trajectories of enzymes and protein complexes with roles in chromatin modifications or regulation. We found that these enzymes and complexes are highly conserved in Aspergilli, pointing towards a complex repertoire of chromatin modifications. Nevertheless, we also observed few recent gene duplications or losses, highlighting Aspergillus species to further study the roles of specific chromatin modifications. SET7 (KMT6) and other components of PRC2 (Polycomb Repressive Complex 2), which is responsible for methylation on histone H3 at lysine 27 in many eukaryotes including fungi, are absent in Aspergilli as well as in closely related Penicillium species, suggesting that these lost the capacity for this histone modification. We corroborated our computational predictions by performing untargeted mass spectrometry analysis of histone post-translational modifications in Aspergillus nidulans. This systematic analysis will pave the way for future research into the complexity of the histone code and its functional implications on genome architecture and gene regulation in fungi. Data SummaryThe predicted proteomes used in this study are publicly available at the JGI (Joint Genome Institute) MycoCosm repository (1); the species names and abbreviations are listed in Supplementary Table 1. To evaluate the completeness of the predicted proteomes and to obtain a species phylogeny, 758 fungal BUSCO (Benchmarking Universal Single-Copy Ortholog) genes were used, and their names are listed in Supplementary Table 2. The fasta, trimmed alignment, and maximum-likelihood phylogenetic tree files can be found in Supplementary Data 1 and 2 deposited at Zenodo (10.5281/zenodo.6586562). The mass spectrometry results mentioned in Supplementary Table 6 are deposited in the PRIDE database with the dataset identifier PXD033478. Impact StatementUncovering how fungi regulate gene expression and genome organization is an important step to understand how they control biological processes such as growth or biosynthesis of bioactive molecules. Despite the known importance of chromatin modifications in controlling a plethora of biological processes across eukaryotes, they remain particularly poorly understood in filamentous fungi, even in model organisms like Aspergilli. Our systematic evolutionary analysis provides a robust framework for the functional analysis of chromatin modifications in Aspergillus species and other fungi. Our results do not only implicate candidate enzymes to play a role in new chromatin modifications, but they also point at species that have experienced duplications or losses of genes encoding enzymes for specific chromatin modifications. We therefore expect that this work will set the stage for future research into the complexity of the histone code and its functional implications on gene regulation and genome organization in fungi.

evolutionary biology↗

bioRxiv2022

NMNAT2 is the major NAD+ provider for vesicular glycolysis generating on-board energy for fast axonal transport cargos

BackgroundBioenergetic maladaptations and axonopathy are often found in the early stages of neurodegeneration. Nicotinamide adenine dinucleotide (NAD), an essential cofactor for energy metabolism, is mainly synthesized by Nicotinamide mononucleotide adenylyl transferase 2 (NMNAT2) in CNS neurons. NMNAT2 mRNA levels are reduced in the brains of Alzheimers, Parkinsons and Huntingtons disease. Here we addressed whether NMNAT2 is required for axonal health of cortical glutamatergic neurons, whose far-projecting axons are vulnerable to neurodegenerative conditions. We also tested if NMNAT2 maintains axonal health by ensuring proper axonal ATP levels for axonal transport, a critical function of axons. MethodsWe generated mouse and cultured neuron models to determine the impact of NMNAT2 loss from cortical glutamatergic neurons on axonal transport, energetic metabolism, and morphological integrity. In addition, we determined if exogenous NAD supplementation or inhibiting NAD hydrolase sterile alpha and TIR motif-containing protein 1 (SARM1) prevented axonal deficits caused by NMNAT2 loss. Our study used a combination of genetic, molecular biology, immunohistochemistry, biochemistry, fluorescent time-lapse imaging, live imaging with optical sensors, and anti-sense oligos application. ResultsWe provide in vivo evidence that NMNAT2 in cortical glutamatergic neurons is required for axonal survival. Using in vivo and in vitro studies we demonstrate that NMNAT2 protects axons by ensuring the proper NAD-redox potential in distal axons of cortical neurons to support glycolysis on vesicular cargos, thus ensuring "onboard" ATP production fueling axonal transport. Exogenous NAD+ supplementation to NMNAT2 KO cortical neurons restores glycolysis and resumes fast axonal transport. Finally, we demonstrate both in vitro and in vivo that reducing the activity of SARM1, an NAD degradation enzyme, can reduce axonal transport deficits and suppress axon degeneration in NMNAT2 KO neurons. ConclusionNMNAT2 ensures axonal health by maintaining NAD redox potential in distal axons to ensure efficient vesicular glycolysis required for fast axonal transport.

neuroscience↗

bioRxiv2022

Fine-Tuning Transformers For Genomic Tasks

Transformers are a type of neural network architecture that has been successfully used to achieve state-of-the-art performance in numerous natural language processing tasks. However, what about DNA, the language life written in the four-letter alphabet? In this paper, we review the current state of Transformers usage in genomics and molecular biology in general, introduce a collection of benchmark datasets for the classification of genomic sequences, and compare the performance of several model architectures on those benchmarks, including a BERT-like model for DNA sequences DNABERT as implemented in HuggingFace (armheb/DNA_bert_6 model). In particular, we explore the effect of pre-training on a large DNA corpus vs training from scratch (with randomized weights). The results presented here can be used for identification of functional elements in human and other genomes.

bioinformatics↗

bioRxiv2022

SARS-CoV-2 ORF6 disrupts innate immune signalling by inhibiting cellular mRNA export

SARS-CoV-2 is a betacoronavirus and the etiological agent of COVID-19, a devastating infectious disease. Due to its far-reaching effect on human health, there is an urgent and growing need to understand the viral molecular biology of SARS-CoV-2 and its interaction with the host cell. SARS-CoV-2 encodes 9 predicted accessory proteins, which are presumed to be dispensable for in vitro replication, most likely having a role in modulating the host cell environment to aid viral replication. Here we show that the ORF6 accessory protein interacts with cellular Rae1 to inhibit cellular protein production by blocking mRNA export. We utilised cell fractionation coupled with mRNAseq to explore which cellular mRNA species are affected by ORF6 expression and show that ORF6 can inhibit the export of many mRNA including those encoding antiviral factors such as IRF1 and RIG-I. We also show that export of these mRNA is blocked in the context of SARS-CoV-2 infection. Together, our studies identify a novel mechanism by which SARS-CoV-2 can manipulate the host cell environment to supress antiviral responses, providing further understanding to the replication strategies of a virus that has caused an unprecedented global health crisis. Author SummarySARS-CoV-2 is the virus responsible for the current COVID-19 pandemic. Coronaviruses, like SARS-CoV-2, replicate their genome in the cytoplasm of the host cell by hijacking the cellular machinery. In addition to structural proteins and viral enzymes, SARS-CoV-2 encodes 9 accessory proteins. Although these are not required for in vitro replication, they are thought to modulate the host cell environment to favour viral replication. In this work, we show that the ORF6 accessory protein can supress cellular protein production by blocking mRNA nuclear export through interacting with the cellular protein Rae1, a known mRNA export factor. We also investigated which cellular mRNAs were retained in the nucleus when ORF6 was overexpressed. Interestingly, we found that ORF6 inhibited the export of many different mRNAs, including those encoding antiviral factors, like IRF1 and RIG-I, even in the absence of stimulation by interferon. Importantly, we found that the export of these mRNAs was similarly affected in the context of SARS-CoV-2 infection. Therefore, we believe we have identified a novel mechanism that SARS-CoV-2 uses to suppress antiviral responses in order to make the cell more permissive to infection.

microbiology↗

bioRxiv2022

Accurate models of substrate preferences of post-translational modification enzymes from a combination of mRNA display and deep learning

Promiscuous post-translational modification (PTM) enzymes often display non-obvious substrate preferences by acting on diverse yet well-defined sets of peptides and/or proteins. Thorough understanding of substrate fitness landscapes for promiscuous PTM enzymes is important because they play key roles in many areas of contemporary science, including natural product biosynthesis, molecular biology and biotechnology. Here, we report the development of an integrated platform for accurate profiling of substrate preferences for PTM enzymes. The platform features a combination of i) mRNA display with next generation sequencing as an ultrahigh throughput technique for data acquisition and ii) deep learning for data analysis. The high accuracy (>0.99 in each of two studies) and generalizability of the resulting deep learning models enables comprehensive analysis of enzymatic substrate preferences. The models can be utilized to quantify fitness across sequence space, map modification sites, and identify important amino acids in the substrate. To benchmark the platform, we perform substrate specificity profiling of a Ser dehydratase (LazBF) and a Cys/Ser cyclodehydratase (LazDEF), two enzymes from the lactazole biosynthesis pathway. In both studies, our results point to highly complex enzymatic preferences, which, particularly for LazBF, cannot be reduced to a set of simple rules. The ability of the constructed models to dissect and analyze such complexity suggests that the developed platform can facilitate the wider study of PTM enzymes.

biochemistry↗

bioRxiv2022

The brassinosteroid biosynthesis gene TaD11-2A controls grain size and its elite haplotype improves wheat grain yields

Brassinosteroids (BRs) control many important agronomic traits, therefore the manipulation of BR components could improve crop productivity and performance. However, the potential effects of BR-related genes on yield-related traits and stress tolerance in wheat (Triticum aestivum L.) remain poorly understood. Here, we identified TaD11 genes in wheat (rice D11 orthologs) that encoded enzymes involved in BR biosynthesis. TaD11 genes were highly expressed in roots (Zadoks scale: Z11) and grains (Z75), while expression was significantly suppressed by exogenous BR (24-epiBL). Ectopic expression of TaD11-2A rescued the abnormal panicle structure and plant height (PH) of the cpb1 mutant, and also increased endogenous BR levels, resulting in improved grain yields and grain quality in rice. Natural variations in TaD11-2A were associated with significant differences in yield-related traits, including PH, grain width (GW), 1000-grain weight (TGW), and grain yield per plant (GYPP), and its favorable haplotype, TaD11-2A-HapI was subjected to positive selection during wheat breeding. Additionally, TaD11-2A influenced root length and salt tolerance in rice and wheat at seedling stages. These results indicated the important role of BR TaD11 biosynthetic genes in controlling grain size and root length, and also highlighted their potential in the molecular biological analysis of wheat. HighlightThe brassinosteroid biosynthesis gene TaD11-2A regulates grain size and root length and its haplotype favorably improves grain yields and salt tolerance in wheat.

plant biology↗

bioRxiv2022

PhD and postdoc training outcomes at EMBL: changing career paths for life scientists in Europe.

The life sciences are training growing numbers of PhDs and postdocs, who increasingly engage in collaborative research. The impact of these changes on the careers of researchers is, however, unclear. Here, we report an analysis of the training outcomes for 2284 researchers who completed a PhD or postdoc at the European Molecular Biology Laboratory (EMBL) between 1997 and 2020. This is the first such study published from a European institute and first time-resolved analysis globally. The most common career outcomes were in academic research, service and teaching (1263 alumni, 55%), including 636 principal investigators (PIs). A broad spectrum of other career paths was also represented, including in industry research (332, 15%) and science-related professions (349, 15%). Our analysis indicates that, although there is increased competition for PI roles, life scientists continue to enter and excel in careers that drive research and innovation.

scientific communication and education↗

bioRxiv2022

A comparison of hard and soft direct methods for DNA extraction from soil

Nucleic acid extraction is the first step in molecular biology studies of soil bacterial communities. The most common used soil DNA extraction method is the direct, hard extraction Mobio method, which uses bead beating to lyse bacteria. In this study we compared the Mobio method with a soft, enzymatic lysis extraction method. Next generation sequencing (Illumina and Pyrosequencing) of amplicons generated from four 16S primer pairs and DNA from 12 soils and 3 composts was used to compare the two extraction methods. Four bacterial orders, the delta proteobacterial Desulfuromonadales and gamma proteobacterial Pseudomonadales, Enterobacteriales, and Alteromonadales were more common in amplicons from soft extracted DNA, sometimes by two orders of magnitude. These groups can be a significant fraction of the bacterial population. For example the Pseudomonadales made up to 16 % and Enterobacteriales 10% of amplicons from Soft extracted DNA. The JG30-KF-CM45 order was under extracted by the enzymatic lysis extraction method. Results differed more by primer choice than extraction method and the phylogenetic resolution of differences between extraction methods changed with primer choice. Given how often Mobio extraction is used, these proteobacterial orders are probably under-represented in the studies of soil bacteria that use nucleic acid methods. Further improvements in soil DNA extraction are needed. Amplicons sequencing studies should use a range of different primers to confirm the phylogenetic resolution of their results. ImportanceSeveral large scale studies of soil bacteria that compare thousands of soil samples across continents have used the Mobio method for DNA extraction. Large scale studies like these are increasing with the recent establishment of the Global Soil Biodiversity Observation Network (Soil BON), which also uses the Mobio method. The results of this work will be used to make policy decisions about how to manage the soil and may be a guide for bioprospectors. As the Mobio method is so widely used, it is important to know its limitations. Studies that use the Mobio method underestimate the fraction of several proteobacterial groups. Most notably the Enterobacteria and Pseudomonas can be under extracted by 10-100 fold. The degree of under extraction varies with different soils.

microbiology↗

bioRxiv2022

Neq2X7: a multi-purpose and open-source fusion DNA polymerase for advanced DNA engineering and diagnostics PCR

Thermostable DNA polymerases, such as Taq isolated from the thermophilic bacterium Thermus aquaticus, enable one-pot exponential DNA amplification known as polymerase chain reaction (PCR). However, other properties than thermostability - such as fidelity, processivity, and compatibility with modified nucleotides - are important in contemporary molecular biology applications. Here, we describe the engineering and characterization of a fusion between a DNA polymerase identified in the marine archaea Nanoarchaeum equitans and a DNA binding domain from the thermophile Sulfolobus solfataricus. The fusion creates a highly active enzyme, Neq2X7, capable of amplifying long and GC-rich DNA and that is unaffected by replacing dTTP with dUTP in PCR. This makes it an attractive DNA polymerase for use e.g., with uracil excision (USER) DNA assembly and for contamination-free diagnostics. Furthermore, Neq2X7 is easy to produce, and the expression plasmid is freely available. Graphical abstract O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

bioengineering↗

bioRxiv2022

Effects of different environmental intervention durations on the intestinal mucosal barrier and the brain-gut axis in rats with colorectal cancer

ObjectivesEnriched environment (EE) is a promising strategy to protect the intestinal mucosal barrier and regulate brain-gut peptide expression. However, the optimal enriched environment intervention duration is unknown. Here, different EE intervention durations were applied to assess the optimal intervention duration in rats with colorectal cancer. MethodsWe used a rat model of 1,2-dimethylhydrazine-induced colorectal cancer. Rats were housed in an EE for 0, 2, 4 or 8 weeks. The intestinal mucosa and serum TNF-, IL-6, IL-10, DAO, ATP, CRF, and occludin levels and bacterial translocation (BT) were measured, and the intestinal mucosa morphology was evaluated. ResultsEight-week EE intervention was more beneficial to the intestinal mucosal mechanical barrier than 2-week or 4-week intervention (P<0.05). There was a significant different between the 4-week and 8-week groups on BT (P=0.049). However, which intervention duration had the greatest advantages in intestinal mucosa and serum inflammatory factor regulation was not determined. There were no significant differences in the effects of different EE intervention durations on BT or brain intestinal peptide levels among the other groups (P>0.05). ConclusionsThe effect of an 8-week environmental intervention duration on the intestinal mucosal barrier was better than that of 2-week and 4-week durations overall, but the effect of different environmental intervention durations on brain-gut peptide levels was not obvious. In the future, we can further explore the molecular biological mechanism of the effect of different EE intervention durations on the intestinal mucosal barrier and analyze the effect of an EE on other brain-gut peptides.

cancer biology↗

bioRxiv2022

Appia: a web interface for chromatography

Chromatography is an essential family of assays for molecular biology and chemistry. Typically, only a qualitative assessment of peak height, position, and shape are sufficient to proceed. However, there are more advanced forms of chromatography that require integration of peak width, baseline subtraction, and precise peak position calling. To handle these precise workflows, instrument manufacturer software is complicated and arcane; this makes simpler day-to-day analyses inefficient. Additionally, each manufacturer reports the data in their own proprietary format, requiring that analysis is performed at instrument computers and making data sharing between labs difficult. Here we present Appia, a free, open-source chromatography processing and visualization package focused on making analysis, collaboration, and publication quick and easy.

biochemistry↗

bioRxiv2022

Investigating CRISPR spacer targets and their impact on genomic diversification of Streptococcus mutans

CRISPR-Cas is a bacterial immune system that restricts the acquisition of mobile DNA elements. These systems provide immunity against foreign DNA by encoding CRISPR spacers that help target DNA if it re-enters the cell. In this way, CRISPR spacers are a type of molecular tape recorder of foreign DNA encountered by the host microorganism. Here, we extracted [~]8,000 CRISPR spacers from a collection of over three hundred Streptococcus mutans genomes. Phage DNA is a major target of S. mutans spacers. Strains have also generated immunity against mobile DNA elements such as plasmids and integrative and conjugative elements. There may also be considerable immunity generated against bacterial DNA, although the relative contribution of self-targeting versus bona fide intra- or inter-species targeting needs to be investigated further. While there was clear evidence that these systems have acquired immunity against foreign DNA, there appeared to be minimal impact on horizontal gene transfer (HGT) constraints on a species-level. There was little or no impact on genome size, GC content and openness of the pangenome when comparing between S. mutans strains with low or high CRISPR spacer loads. In summary, while there is evidence of CRISPR spacer acquisition against self and foreign DNA, CRISPR-Cas does not act as a barrier on the expansion of the S. mutans accessory genome. Impact StatementCRISPR-Cas is a widespread bacterial immune system that has been repurposed as a molecular biology tool. This study investigates the role of these systems in the biology and evolution of the dental caries pathogen Streptococcus mutans. CRISPR spacers, that encode immunity against foreign DNA, were extracted from over three hundred S. mutans isolates. Sequence analysis showed that the CRISPR spacers match against phage, mobile element, and bacterial DNA. This shows that S. mutans is actively acquiring immunity against horizontally acquired DNA. However, additional analysis revealed little to no impact of CRISPR-Cas systems on diversification of the S. mutans genome. This suggests that while these systems are actively acquiring CRISPR spacers to defend against foreign DNA, the overall impact on the S. mutans genome might be small. Data SummarySupporting data provided on the Github platform: https://github.com/theshieldslab/Streptococcus-mutans-CRISPR-Spacers-Analysis The authors confirm all supporting data, code and protocols have been provided within the article or through supplementary data files.

genomics↗

bioRxiv2022

Unlocking the strength of inducible promoters in gram-negative bacteria

Inducible promoters, such as the lac and tet promoters, are ubiquitous biotechnology tools. Inducible bacterial promoters have a consistent architecture including two key elements: the operator region recognized by the transcriptional regulator proteins (e.g., LacI and TetR, and the -10 and -35 consensus sequences required to recruit the sigma ({sigma}) subunits of RNA polymerase to initiate transcription. Despite their widespread use in molecular biology, there remain problems with current inducible expression systems. Leaky transcription in the OFF state remains a particular challenge. Here we have updated the architecture of the lac and tet expression systems to improve their strength, control, and portability. We modified the genetic architecture of the lac and tet expression systems to contain consensus -10 and -35 sequence boxes to be strongly targeted by {sigma}70, to incorporate of a strong ribosome binding site recognized broadly by gram-negative bacteria, and to independently control of the transcriptional regulators by optimized constitutive promoters. To test the promoters, we use the far-red fluorescent protein mCardinal, which we demonstrate significantly improves the signal-to-background ratio of promoter measurement assays over widely utilized green fluorescent proteins. We validate the improvement in OFF state control and inducibility by demonstrating production of the toxic and aggregate-prone cocaine esterase enzyme CocE. We further demonstrate portability of the promoters to additional gram-negative species Pseudomonas putida and Vibrio natriegens. Our results represent a significant improvement over existing protein expression systems that will enable advances in protein production for various biotechnology applications. SignificanceMany of the latest advances in pharmaceuticals, materials, and foods involve the production of recombinant proteins from bacterial hosts. However, the regulated production of enzymes and functional protein products that are toxic to their microbial hosts remains a challenge. Our work provides new tools that enable tight control over expression of protein products in bacterial host strains. We show that our tools function not only in the broadly utilized Escherichia coli, but also in other gram-negative bacteria including the soil organism Pseudomonas putida and the marine bacterium Vibrio natriegens. Our technology will facilitate more efficient production of a broader range of protein products in diverse microbial hosts.

synthetic biology↗

bioRxiv2022

Interpretable deep learning to uncover the molecular binding patterns determining TCR-epitope interactions

The recognition of an epitope by a T-cell receptor (TCR) is crucial for eliminating pathogens and establishing immunological memory. Prediction of the binding of any TCR-epitope pair is still a challenging task, especially for novel epitopes, because the underlying patterns are largely unknown to domain experts and machine learning models. To achieve a deeper understanding of TCR-epitope interactions, we have used interpretable deep learning techniques to gain insights into the performance of TCR-epitope binding machine learning models. We demonstrate how interpretable AI techniques can be linked to the three-dimensional structure of molecules to offer novel insights into the factors that determine TCR affinity on a molecular level. Additionally, our results show the importance of using interpretability techniques to verify the predictions of machine learning models for challenging molecular biology problems where small hard-to-detect problems can accumulate to inaccurate results.

bioinformatics↗

bioRxiv2022

A computational toolbox to investigate the metabolic potential and resource allocation in fission yeast

The fission yeast Schizosaccharomyces pombe is a popular eukaryal model organism for cell division and cell cycle studies. With this extensive knowledge of its cell and molecular biology, S. pombe also holds promise for use in metabolism research and industrial applications. However, unlike the bakers yeast Saccharomyces cerevisiae, a major workhorse in these areas, cell physiology and metabolism of S. pombe remain less explored. One way to advance understanding of organism-specific metabolism is construction of computational models and their use for hypothesis testing. To this end, we leverage existing knowledge of S. cerevisiae to generate a manually-curated high-quality reconstruction of S. pombes metabolic network, including a proteome-constrained version of the model. Using these models, we gain insights into the energy demands for growth, as well as ribosome kinetics in S. pombe. Furthermore, we predict proteome composition and identify growth-limiting constraints that determine optimal metabolic strategies under different glucose availability regimes, and reproduce experimentally determined metabolic profiles. Notably, we find similarities in metabolic and proteome predictions of S. pombe with S. cerevisiae, which indicate that similar cellular resource constraints operate to dictate metabolic organization. With these use cases, we show, on the one hand, how these models provide an efficient means to transfer metabolic knowledge from a well-studied to a lesser-studied organism, and on the other, how they can successfully be used to explore the metabolic behaviour and the role of resource allocation in driving different strategies in fission yeast.

systems biology↗

bioRxiv2022

Metalation calculators for E. coli strain JM109 (DE3): Aerobic, anaerobic and hydrogen peroxide exposed cells cultured in LB media

Three web-based calculators, and three analogous spreadsheets, have been generated that predict in vivo metal occupancies of proteins based on known metal affinities. The calculations exploit estimates of the availabilities of the labile buffered pools of different metals inside a cell. Here, metal availabilities have been estimated for a strain of E. coli that is commonly used in molecular biology and biochemistry research, for example in the production of recombinant proteins. Metal availabilities have been examined for cells grown in LB medium aerobically, anaerobically and in response to H2O2 by monitoring the abundance of a selected set of metal-responsive transcripts by qPCR. The selected genes are regulated by DNA-binding metal sensors that have been thermodynamically characterised in related bacterial cells enabling gene expression to be read-out as a function of intracellular metal availabilities expressed as free energies for forming metal complexes. The calculators compare these values with the free energies for forming complexes with the protein of interest, derived from metal affinities, to estimate how effectively the protein can compete with exchangeable binding sites in the intracellular milieu. The calculators then inter-compete the different metals, limiting total occupancy of the site to a maximum stoichiometry of 1, to output percentage occupancies with each metal. In addition to making these new and conditional calculators available, an original purpose of this article was to provide a tutorial which discusses constraints of this approach and presents ways in which such calculators might be exploited in basic and applied research, and in next-generation manufacturing.

cell biology↗