Biology subjects

Anderson, W.

Publications and source records attributed to Anderson, W..

11 recordsLinked to original sources

bioRxiv2024

A secreted helminth microRNA suppresses gastrointestinal cell differentiation required for innate immunity

Pathogens have developed multiple strategies to modulate host immune defense mechanisms. Understanding how this is achieved has potential to inform novel therapeutics for diseases caused by immune dysfunction. Parasitic helminths are masters of immune evasion, via release of secreted products, resulting in chronic infection. Helminths secrete small regulatory microRNA (miRNAs), which can interact with host cells. Here we show that a single parasite miRNA (miR-5352), conserved across gastrointestinal (GI) nematodes, suppresses IL-13-induced GI epithelial cell differentiation and cytokine responses, and promotes stem cell maintenance. Mechanistically, this is achieved through targeted repression of critical host factors, including Klf-4 and the IL-22 receptor, together with modulation of Wnt and Notch signalling pathways. Nematode miR-5352 shows seed sequence conservation with mammalian miR-92a family members, indicating that through convergent evolution, GI nematodes exploit a host miRNA regulatory network to suppress host innate responses, promote tissue regeneration and establish a favourable environment for chronic infection.

microbiology↗

bioRxiv2024

DIYNAFLUOR: An Affordable DIY Plug-and-Play Nucleic Acid Fluorometer for eDNA Quantification in Resource Limited Settings

Nucleic Acid (NA) fluorometry is widely employed for quantifying environmental DNA (eDNA) samples and their downstream DNA sequencing libraries, owing to its sensitivity, accuracy, and speed. However, the high cost of NA fluorometers presents a barrier to eDNA sequencing in resource limited settings (RLSs). For instance, at [~]$1.5-3.3k USD, current NA fluorometers present a greater capital cost than ONTs $1k USD portable MinION third-generation Nanopore sequencing platform. The collapse of international scientific device and consumable supply chains during the COVID-19 pandemic also highlighted the need for distributed manufacturing of molecular research tools to mitigate the impact of increased pricing to RLSs. To address these challenges, we have developed the "DIYNAFLUOR" (DIY Nucleic Acid FLUORometer), a portable, open-source, <$40 USD NA fluorometer, designed using readily available off-the-shelf components, simple 3D-printed parts, and plug-and-play, solder-free assembly. The DIYNAFLUOR was primarily designed to be compatible with the popular DNA-centric Qubit High Sensitivity (HS) and Broad Range (BR) assay kits. Notably, the DIYNAFLUOR demonstrated an in-assay Limit of Detection with the Qubit HS kit of 0.0028 ng/L, and an average absolute bias of 0.018 ng/L across a 0-10 ng/L working range using a 2-point linear calibration methodology. Device verification was performed by comparative measurements with a Qubit 4 fluorometer in a busy biotechnology laboratory, and build instructions were validated through assembly and qualification of three DIYNAFLUOR devices by researchers outside the primary design team. We also describe a custom "extreme"low-cost assay, <13{cents} USD per-measurement, that uses SYBR Safe dye to quantify DNA across a working range of 0-0.5 ng/L. This assay reports a lower sensitivity and accuracy than commercial kits but may be of use to RLSs in times of extreme resource constraints or as a teaching tool for STEM educators. To demonstrate its practical application for field-based eDNA analysis in RLSs, the DIYNAFLUOR was used to perform all quality control measurements throughout the preparation of a 16S and 18S metabarcoding library generated from eDNA extracted from Australian lake water, leading to the successful identification of Australian fauna via Nanopore sequencing. Finally, configurations of the DIYNAFLUOR for RNA and Protein quantification are briefly described. TOC O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=70 SRC="FIGDIR/small/626200v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@28244dorg.highwire.dtl.DTLVardef@16749acorg.highwire.dtl.DTLVardef@15c31aorg.highwire.dtl.DTLVardef@bc03e8_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2024

Whole genome resequencing of a global collection of Napier grass (Cenchrus purpureus) to explore global population structure and QTL governing yield and feed quality traits

Napier grass (Cenchrus purpureus) is a C4 perennial grass species native to Sub-Saharan Africa (SSA), primarily used to feed cattle in SSA. In this study, we sequenced the genomes of 450 Napier grass individuals, sourced from 20 different countries. More than 170 million DNA variants (SNPs and Indels) were detected, of which [~]1% informative SNPs were used to assess genetic diversity in the collection. Our resequencing study provided valuable insights into the genetic diversity across a global Napier grass collection. Furthermore, a genome-wide association study on two independent populations, identified multiple quantitative trait loci (QTL) that were significantly associated with desirable agronomic traits, such as biomass yield, nitrogen and cellulose content. Therefore, our results will serve as a valuable resource in safeguarding and unravelling the patterns of Napier grass genetic diversity, in the face of climate change, and spearhead genomics-based breeding programs to develop high-yielding and drought-tolerant varieties suitable for forage and biofuel production.

plant biology↗

bioRxiv2024

Phase-Dependent Stimulation of the Hippocampus: A Computational Modeling Approach

Phase-amplitude coupling (PAC) between brain oscillations of different frequencies plays a fundamental role in neural processing, and phase-dependent neuromodulation has emerged as a promising strategy to modulate PAC. In the hippocampus, theta-gamma PAC is critically involved in memory-related functions and information propagation. Computational models provide a valuable platform for investigating the neurobiological mechanisms underlying phase- dependent effects, bypassing the limitations of in vivo and in vitro experiments. In this study, we extended a previously published computational model of the hippocampal CA3 region using the NEURON and Python environments. A closed-loop autoregressive (AR) forward prediction model was employed to sample the networks local field potential (LFP) in real time, enabling the precise calculation of phase-locked stimulus time points. Our results demonstrated the successful delivery of phase-locked current injections to all neuronal populations at both the peak and trough of theta oscillations. Phase-specific alterations in the theta band were observed during stimulation, along with enhanced theta-gamma coupling induced by peak-phase stimulation. Single neuron activity analysis highlighted the critical role of oriens lacunosum- moleculare (OLM) cells in modulating phase-dependent network dynamics. These findings underscore the potential of closed-loop stimulation systems to modulate PAC, with significant implications for the treatment of neurological disorders characterized by abnormal oscillatory activity, such as Alzheimers disease and other memory-related disorders. Significance StatementBy employing a computational model of the hippocampal CA3 region, we reveal the ability of the phase-dependent stimulation technique to modulate phase-amplitude coupling, a critical mechanism in memory and information processing. Our findings highlight the importance of precise phase-locked stimulation and the key role of specific interneurons in regulating network dynamics. These insights lay the groundwork for developing targeted neuromodulation therapies to restore normal oscillatory patterns in the brain, with promising implications for treating memory-related neurological disorders.

neuroscience↗

bioRxiv2024

Protein Structure Inspired Drug Discovery

Drug discovery starts with known function, either of a compound or a protein, in-turn prompting investigations to probe 3D structure of the compound-protein interface. As protein structure determines function, we hypothesized that unique 3D structural motifs represent primary information denoting unique function that can drive discovery of novel agents. Using a physics-based protein structure analysis platform developed by us, designed to conduct computationally intensive analysis at supercomputing speeds, we probed a high-resolution protein x-ray crystallographic library developed by us. We selected 3D structural motifs whose function was not otherwise established, that offered environments supporting binding of drug-like chemicals and were present on proteins that were not established therapeutic targets. For each of eight potential binding pockets on six different proteins we accessed a 60 million compound library and used our analysis platform to evaluate binding. Using eight-day colony formation assays acquired compounds were screened for efficacy against human breast, prostate, colon and lung cancer cells and toxicity against human bone marrow stem cells. Compounds selectively inhibiting cancer growth segregated to two pockets on separate proteins. The compound, Dxr2-017, exhibited selective activity against human melanoma cells in the NCI-60 cell line screen, had an IC50 of 19 nM against human melanoma M14 cells in our eight-day assay, while over 2100-fold higher concentrations inhibited stem cells by less than 30%. We show that Dxr2-017 induces anoikis, a unique form of programmed cell death in need of targeted therapeutics. The predicted target protein for Dxr2-017 is expressed in bacteria, not in humans. This supports our strategy of focusing on unique 3D structural motifs. It is known that functionally important 3D structures are evolutionarily conserved. Here we demonstrate proof-of-concept that protein structure represents high value primary data to support discovery of novel therapeutics. This approach is widely applicable. Author summaryWe introduce the concept that protein 3D structure represents primary information which can support downstream investigations, in this instance leading to the discovery of novel anticancer therapeutics.

cancer biology↗

bioRxiv2024

Theta-Gamma Phase-Amplitude Coupling Supports Working Memory Performance in the Human Hippocampus

Phase-amplitude coupling (PAC) occurs in the human hippocampus during working memory and supports the contribution of the hippocampus in the maintenance of multiple items. Additionally, PAC has the potential to reveal the neural mechanisms underlying multi-item maintenance in the hippocampus by providing a putative architecture for multi-item representation. Theta and gamma range rhythms are prominent neuronal oscillations in the hippocampus. Studies on the role of theta frequency oscillation in local field potentials in human memory have shown mixed evidence for successful remembering. The role of gamma oscillatory activity in contributing to memory retrieval is not yet fully understood. They also interact with each other in the form of PAC during memory performance. This study aims to investigate the neurophysiological function of theta-gamma PAC in the human hippocampus during a multi-item working memory task and characterize its association with performance. Theta-gamma cross-coupling investigation in the electrocorticographic signals was performed from the hippocampus recording of ten epilepsy patients while they were engaged with the working memory task. The results show strong correlations between PAC levels and the subjects memory performance, but no correlation with theta and gamma power individually, specifically in the retrieval phase of a working memory task. These observations demonstrate the possible role of PAC in memory-related operations, suggesting a PAC-based neural mechanism for working memory in the hippocampus. Significance StatementThe findings from this study elucidate the crucial role of phase-amplitude coupling in the human hippocampus during working memory tasks, specifically in the maintenance of multiple items. By analyzing electrocorticographic recordings from epilepsy patients engaged in a working memory task, our research unveils a direct correlation between PAC levels and memory performance during the retrieval phase, which is not observed when analyzing theta and gamma oscillations individually. These findings suggest a theta-gamma coupling based mechanism within the hippocampus that facilitates working memory, offering new insights into the complex neural processes underlying memory encoding and retrieval. This advancement in understanding the neural architecture of memory not only contributes to the foundational knowledge of cognitive neuroscience but also opens avenues for developing targeted interventions for enhancing memory performance with translational application in treating memory-related neurological disorders.

neuroscience↗

bioRxiv2024

The integration of tandem gene repeats via a bacterial type-II toxin-antitoxin-mediated gene amplification (ToxAmp) system and stability visualisation in Saccharomyces cerevisiae

Tandem gene repeats naturally occur as important genomic features and determine many traits in living organisms, like human diseases and microbial productivities of target bioproducts. Here, we develop a bacterial type-II toxin-antitoxin-mediated method to manipulate genomic integration of tandem gene repeats in Saccharomyces cerevisiae and further visualise the evolutionary trajectories of gene repeats. We designed a tri-vector system to introduce toxin-antitoxin-driven gene amplification (ToxAmp) modules, and accidentally re-visited the high-level capacity of multi-fragment co-transformation in S. cerevisiae. This system delivered the multi-copy gene integration in the form of tandem gene repeats spontaneously and independently from toxin-antitoxin-mediated selection. Inducing the toxin (RelE) expressing via a copper (II)-inducible CUP1 promoter successfully drove the in-situ gene amplification of the antitoxin (RelB) module, resulting in [~]40 copies of a green fluorescence reporter (GFP) gene per copy of genome. The copy-number changes, increasing and decreasing, and stable maintenance were visualised using the GFP and blue chromoprotein AeBlue as reporters. Copy-number increasing happened spontaneously not depending on a selection pressure and was quickly enriched through toxin-antitoxin-mediated selection. In summary, the bacterial toxin-antitoxin systems provide a flexible mechanism to manipulate gene copy number in eukaryotic cells and can be exploited for synthetic biology and metabolic engineering applications. Table of Contents Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=146 SRC="FIGDIR/small/578080v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@75d1f3org.highwire.dtl.DTLVardef@12aafeforg.highwire.dtl.DTLVardef@184a1a5org.highwire.dtl.DTLVardef@90586a_HPS_FORMAT_FIGEXP M_FIG C_FIG

synthetic biology↗

bioRxiv2022

PTPN22 R620W gene editing in T cells enhances low avidity TCR responses

A genetic variant in the gene PTPN22 (R620W, rs2476601) is strongly associated with increased risk for multiple autoimmune diseases and has been linked to altered TCR regulation. Here, we utilize Crispr/Cas9 gene editing with donor DNA repair templates in human cord blood-derived, naive T cells to generate PTPN22 risk edited, non-risk edited (silent modification), or knock out T cells from the same donor. PTPN22 risk edited cells exhibited increased activation marker expression following non-specific TCR engagement, findings that mimicked PTPN22 KO cells. Next, using lentiviral delivery of T1D patient-derived islet-antigen specific TCRs, we demonstrate that loss of PTPN22 function led to enhanced signaling in T cells expressing a lower avidity self-reactive TCR. In this setting, loss of PTPN22 mediated enhanced proliferation and Th1 skewing. Importantly, expression of the risk variant in association with a lower avidity TCR also increased proliferation relative to PTPN22 non-risk T cells. Together, these findings suggest that, in primary human T cells, PTPN22 rs2476601 contributes to autoimmunity risk by permitting increased TCR signaling in mildly self-reactive T cells, thereby potentially expanding the self-reactive T cell pool and skewing this population toward an inflammatory phenotype.

immunology↗

bioRxiv2019

Nodal Fragility of Intracranial EEG Networks: Towards an EEG Fingerprint for the Epileptogenic Zone

Over 15 million epilepsy patients worldwide do not respond to drugs. Successful surgical treatment requires complete removal, or disconnection of the seizure onset zone (SOZ), brain region(s) where seizures originate. Unfortunately, surgical success rates vary between 30%-70% because no clinically validated biological marker of the SOZ exists. We develop and retrospectively validate a new EEG marker - neural fragility - in a retrospective analysis of 91 patients by using neural fragility of the annotated SOZ as a metric to predict surgical outcomes. Fragility predicts 43/47 surgical failures with an overall prediction accuracy of 76%, compared to the accuracy of clinicians being 48% (successful outcomes). In failed outcomes, we identify fragile regions that were untreated. When compared to 20 EEG features proposed as SOZ markers, fragility outperformed in predictive power and interpretability suggesting neural fragility as an EEG biomarker of the SOZ.

neuroscience↗

bioRxiv2019

An improved auxin-inducible degron system preserves native protein levels and enables rapid and specific protein depletion

Rapid perturbation of protein function permits the ability to define primary molecular responses while avoiding down-stream cumulative effects of protein dysregulation. The auxin-inducible degron (AID) system was developed as a tool to achieve rapid and inducible protein degradation in non-plant systems. However, tagging proteins at their endogenous loci results in chronic, auxin-independent degradation by the proteasome. To correct this deficiency, we expressed the Auxin Response Transcription Factor (ARF) in an improved inducible degron system. ARF is absent from previously engineered AID systems, but ARF is a critical component of native auxin signaling. In plants, ARF directly interacts with AID in the absence of auxin and we found that expression of the ARF Phox and Bem1 (PB1) domain suppresses constitutive degradation of AID-tagged proteins. Moreover, the rate of auxin-induced AID degradation is substantially faster in the ARF-AID system. To test the ARF-AID system in a quantitative and sensitive manner, we measured genome-wide changes in nascent transcription after rapidly depleting the ZNF143 transcription factor. Transciptional profiling indicates that ZNF143 activates transcription in cis and ZNF143 regulates promoter-proximal paused RNA Polymerase density. Rapidly inducible degradation systems that preserve the target proteins native expression levels and patterns will revolutionize the study of biological systems by enabling specific and temporally defined protein dysregulation.

molecular biology↗

bioRxiv2017

TOWARDS A GLOBAL SUPPORT OF CORE DATA RESOURCES FOR THE LIFE SCIENCES

On November 18-19, 2016, the Human Frontier Science Program Organization (HFSPO) hosted a meeting of senior managers of key data resources and leaders of several major funding organizations to discuss the challenges associated with sustaining biological and biomedical (i.e., life sciences) data resources and associated infrastructure. A strong consensus emerged from the group that core data resources for the life sciences should be supported through a coordinated international effort(s) that better ensure long-term sustainability and that appropriately align funding with scientific impact. Ideally, funding for such data resources should allow for access at no charge, as is presently the usual (and preferred) mechanism. Below, the rationale for this vision is described, and some important considerations for developing a new international funding model to support core data resources for the life sciences are presented.

scientific communication and education↗