Biology subjects

Robinson, A. J.

Publications and source records attributed to Robinson, A. J..

8 recordsLinked to original sources

bioRxiv2026

Designed Minibinders Rewire Receptor Signaling to Enable Functional Human Myogenic Reprogramming

Sarcopenia, loss of muscle mass is a considerable health burden that demands immediate societal attention. Direct myogenic somatic cell reprogramming, a potential muscle regeneration method is constrained by an inability to control the signaling logic that governs cell fate. Here, we show that this barrier can be overcome using AI-designed receptor modulators. Screening de novo minibinders, we identify a synthetic protein cocktail, C6-DPC, that drives efficient human fibroblast-to-muscle transdifferentiation with robust structural and metabolic maturation. C6-DPC reprograms extracellular signaling by activating pro-myogenic FGFR1/2c pathways while suppressing anti-myogenic inputs through ALK1 and TGFBR2; targeted depletion of ALK1 is sufficient to lower the reprogramming barrier. Inflammatory signaling via gp130 emerges as a dominant checkpoint, and its inhibition further enhances conversion. Engineered tissues generate high twitch and tetanic forces in both wild-type and dystrophin-deficient human cells. These findings demonstrate that programmable synthetic ligands can rewrite receptor-level signaling to direct cell fate and enable functional tissue regeneration.

biochemistry↗

bioRxiv2026

Methods for evaluating bacterial dispersal on hyphal networks

In heterogeneous environments, the hyphae of filamentous fungi and oomycetes can facilitate the dispersal of other microorganisms. The use of these "fungal highways" (FH) is regulated by both physical and biological factors with their interplay resulting in variable capabilities of different microbes to establish FH. Several devices have been developed to test the movement of bacteria across mycelium. However, these methods are usually time-consuming and cannot be applied either at a large scale or in a high throughput format. In this study, we developed 3D-printed experimental devices that physically separate two environments while allowing hyphal networks to act as bridges for bacterial movement. The final design allows for the simultaneous testing of up to 10 pairs and the inclusion of any culturing media. With these devices, we investigated how fungal-bacterial pairing, nutrient conditions, and inoculation strategies influence FH formation. Bacterial transport was limited in nutrient-rich media but increased under poorer nutrient conditions, consistent with enhanced exploratory growth of the mycelium. Both cis- and trans-inoculation supported FH formation, although bacterial arrival was delayed in the absence of co-inoculation. The devices were used to demonstrate that transport of bacteria by FH was relevant for the colonization of a natural substrate. Finally, we established a novel in planta assay to evaluate FH formation during host colonization. This assay demonstrated that Fusarium graminearum can transport bacteria during wheat spike colonization. Together, these results provide accessible, scalable tools to study hyphal-mediated bacterial dispersal and highlight the combined role of biological specificity and nutrient context in the establishment of FH. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=75 SRC="FIGDIR/small/719220v1_ufig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@1cf39aforg.highwire.dtl.DTLVardef@1d41e6corg.highwire.dtl.DTLVardef@1196637org.highwire.dtl.DTLVardef@85cc6c_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2024

A Computational Framework to Optimize the Mechanical Behavior of Synthetic Vascular Grafts

The failure of synthetic small-diameter vascular grafts has been attributed to a mismatch in the compliance between the graft and native artery, driving mechanisms that promote thrombosis and neointimal hyperplasia. Additionally, the buckling of grafts results in large deformations that can lead to device failure. Although design features can be added to lessen the buckling potential, the addition is detrimental to decreasing compliance (e.g., reinforcing coil). Herein, we developed a novel finite element framework to inform vascular graft design by evaluating compliance and resistance to buckling. A batch-processing scheme iterated across the multi-dimensional design parameter space, which included three parameters: coil thickness, modulus, and spacing. Three types of finite element models were created in FEBio for each unique coil-reinforced graft parameter combination to simulate pressurization, axial buckling, and bent buckling, and results were analyzed to quantify compliance, buckling load, and kink radius, respectively, from each model. Importantly, model validation demonstrated that model predictions agree qualitatively and quantitatively with experimental observations. Subsequently, data for each design parameter combination were integrated into an optimization function for which a minimum value was sought. The optimization values identified various candidate graft designs with promising mechanical properties. Our investigation successfully demonstrated the model-directed framework identified vascular graft designs with optimal mechanical properties, which can potentially improve clinical outcomes by addressing device failure. In addition, the presented computational framework promotes model-directed device design for a broad range of biomaterial and regenerative medicine strategies.

bioengineering↗

bioRxiv2022

Tripartite interactions between filamentous Pf4 bacteriophage, Pseudomonas aeruginosa, and bacterivorous nematodes

The opportunistic pathogen Pseudomonas aeruginosa PAO1 is infected by the filamentous bacteriophage Pf4. Pf4 virions promote biofilm formation, protect bacteria from antibiotics, and modulate animal immune responses in ways that promote infection. Furthermore, strains cured of their Pf4 infection ({Delta}Pf4) are less virulent in animal models of infection. Consistently, we find that strain {Delta}Pf4 is less virulent in a Caenorhabditis elegans nematode infection model. However, our data indicate that PQS quorum sensing is activated and production of the pigment pyocyanin, a potent virulence factor, is enhanced in strain {Delta}Pf4. The reduced virulence of {Delta}Pf4 despite high levels of pyocyanin production may be explained by our finding that C. elegans mutants unable to sense bacterial pigments through the aryl hydrocarbon receptor are more susceptible to {Delta}Pf4 infection compared to wild-type C. elegans. Collectively, our data support a model where suppression of quorum-regulated virulence factors by Pf4 allows P. aeruginosa to evade detection by innate host immune responses. Author SummaryPseudomonas aeruginosa is an opportunistic bacterial pathogen that infects wounds, lungs, and medical hardware. P. aeruginosa strains are often themselves infected by a filamentous virus (phage) called Pf. At sites of infection, filamentous Pf virions are produced that promote bacterial colonization and virulence. Here, we report that strains of P. aeruginosa cured of their Pf infection are less virulent in a Caenorhabditis elegans nematode infection model. We also report that PQS quorum sensing and production of the virulence factor pyocyanin are enhanced in P. aeruginosa strains cured of their Pf infection. Compared to wild-type C. elegans, nematodes unable to detect bacterial pigments via the aryl hydrocarbon receptor AhR were more susceptible to infection by Pf-free P. aeruginosa strains that over-produce pyocyanin. Collectively, this study supports a model where Pf phage suppress P. aeruginosa PQS quorum sensing and reduce pyocyanin production, allowing P. aeruginosa to evade AhR-mediated immune responses in C. elegans.

microbiology↗

bioRxiv2022

Bacterial threat assessment of bacteriophage infection is mediated by intracellular polyamine accumulation and Gac/Rsm signaling

When eukaryotic cells are killed by pathogenic microorganisms, damage-associated and pathogen-associated signals are generated that alert other cells of nearby danger. Bacteria can detect the death of their kin; however, how bacteria make threat assessments of cellular injury is largely unexplored. Here we show that polyamines released by lysed bacteria serve as damage-associated molecules in Pseudomonas aeruginosa. In response to exogenous polyamines, Gac/Rsm and cyclic-di-GMP signaling is activated and intracellular polyamine levels increase. In the absence of a threat, polyamines are catabolized, and intracellular polyamines return to basal levels, but cells infected by bacteriophage increase and maintain intracellular polyamine levels, which inhibits phage replication. Phage species not inhibited by polyamines did not trigger polyamine accumulation by P. aeruginosa, suggesting polyamine accumulation and metabolism are targets in the phage-host arms-race. Our results suggest that like eukaryotic cells, bacteria can differentiate damage-associated and pathogen-associated signals to make threat assessments of cellular injury. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=112 SRC="FIGDIR/small/486733v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@1f69334org.highwire.dtl.DTLVardef@13a4422org.highwire.dtl.DTLVardef@4f3edeorg.highwire.dtl.DTLVardef@a86c43_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2019

QuAdTrim: Overcoming computational bottlenecks insequence quality control

With the recent torrent of high throughput sequencing (HTS) data the necessity for highly efficient algorithms for common tasks is paramount. One task for which the basis for all further analysis of HTS data is initial data quality control, that is, the removal or trimming of poor quality reads from the dataset. Here we present QuAdTrim, a quality control and adapter trimming algorithm for HTS data that is up to 57 times faster and uses less than 0.06% of the memory of other commonly used HTS quality control programs. QuAdTrim will reduce the time and memory required for quality control of HTS data, and in doing, will reduce the computational demands of a fundamental step in HTS data analysis. Additionally, QuAdTrim impliments the removal of homopolymer Gs from the 3 end of sequence reads, a common error generated on the NovaSeq, NextSeq and iSeq100 platforms. Availability and ImplementationThe source code is freely available on bitbucket under a BSD licence, see COPYING file for details: https://bitbucket.org/arobinson/quadtrim ContactAndrew Robinson andrewjrobinson at gmail dot com

bioinformatics↗

bioRxiv2019

Genome-wide sequencing uncovers cryptic diversity and mito-nuclear discordance in the Octopus vulgaris species complex

Many marine species once considered to be cosmopolitan are now recognised as cryptic species complexes. Mitochondrial markers are ubiquitously used to address phylogeographic questions, and have been used to identify some cryptic species complexes; however, their efficacy in inference of evolutionary processes in the nuclear genome has not been thoroughly investigated. We used double digest restriction site-associated DNA sequencing (ddRADseq) markers to quantify species boundaries in the widely distributed and high value common octopus, Octopus vulgaris, comparing genome-wide phylogenetic signal to that obtained from mitochondrial markers. Phylogenetic analyses, genome-wide concordance and species tree estimation based on 604 genome-wide ddRADseq loci revealed six species within the O. vulgaris group. Divergence time estimates suggested modern-day species evolved over the last 2.5 ma, during a period of global cooling. Importantly, our study identified significant phylogenetic discordance between mitochondrial and nuclear markers; genome-wide nuclear loci supported O. vulgaris sensu stricto and Type III (South Africa) as distinct species, which mtDNA failed to recognise. Our finding of conflicting phylogenetic signal between mitochondrial and nuclear markers has broad implications for many taxa. Improved phylogenetic resolution of O. vulgaris has significant implications for appropriate management of the group and will allow greater accuracy in global fisheries catch statistics.

molecular biology↗

bioRxiv2018

AgriSeqDB: an online RNA-Seq database for functional studies in agriculturally relevant plant species

BackgroundThe genome-wide expression profile of genes in different tissues/cell types and developmental stages is a vital component of many functional genomic studies. Transcriptome data obtained by RNA-sequencing (RNA-Seq) is often deposited in public databases that are made available via data portals. Data visualization is one of the first steps in assessment and hypothesis generation. However, these databases do not typically include visualization tools and establishing one is not trivial for users who are not computational experts. This, as well as the various formats in which data is commonly deposited, makes the processes of data access, sharing and utility more difficult. Our goal was to provide a simple and user-friendly repository that meets these needs for datasets from major agricultural crops.\n\nDescriptionAgriSeqDB (https://expression.latrobe.edu.au/agriseqdb), is a database for viewing, analysing and interpreting developmental and tissue/cell-specific transcriptome data from several species, including major agricultural crops such as wheat, rice, maize, barley and tomato. The disparate manner in which public transcriptome data is often warehoused and the challenge of visualizing raw data are both major hurdles to data reuse. The popular eFP browser does an excellent job of presenting transcriptome data in an easily interpretable view, but previous implementation has been mostly on a case-by-case basis. Here we present an integrated visualisation database of transcriptome datasets from six species that did not previously have public-facing visualisations. We combine the eFP browser, for gene-by-gene investigation, with the Degust browser, which enables visualisation of all transcripts across multiple samples. The two visualisation interfaces launch from the same point, enabling users to easily switch between analysis modes. The tools allow users, even those without bioinformatics expertise, to mine into datasets and understand the behaviour of transcripts of interest across samples and time. We have also incorporated an additional graphic download option to simplify incorporation into presentations or publications.\n\nConclusionPowered by eFP and Degust browsers, AgriSeqDB is a quick and easy-to-use platform for data analysis and visualization in five crops and Arabidopsis. Furthermore, it provides a tool that makes it easy for researchers to share their datasets, promoting research collaborations and dataset reuse.

genomics↗