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Biology subjects

Moore, H.

Publications and source records attributed to Moore, H..

12 recordsLinked to original sources

Diapause and Developmental Arrest as Drivers of Population Resilience Through Stress

Dauer formation and L1 arrest are stress-responsive developmental strategies that enable Caenorhabditis elegans to survive unfavorable conditions. These responses are regulated by environmental cues, including food availability and pheromone signals that communicate population density. However, how dauer entry, L1 arrest, and density-dependent signaling collectively influence long-term population dynamics remains poorly understood. In this study, populations of daf-22 and daf-16 mutants with impaired dauer formation, starvation arrest, and pheromone signaling were compared under control and starvation stress. Measurements of developmental stages were used to evaluate how genotype influenced population growth, developmental stage composition, starvation response, and recovery over time. This population-level approach links individual developmental decisions and inter-organismal communication to broader patterns of persistence and population change. The results show that daf-16 and daf-22 mutant populations differed from wild type in their recovery ability following nutrient deprivation as well as in the stage distributions within the population. These findings suggest that dauer signaling contributes broadly to population persistence by coordinating developmental arrest, reproduction, survival, and recovery. Overall, this work supports the interpretation of dauer formation as a larger population level survival program rather than a single isolated developmental outcome.

genetics↗

The genetic signature of memory encoding along the human hippocampal axis

Episodic memory formation engages hippocampal oscillations that vary along the anterior-posterior axis, but the molecular programs supporting this physiological specialization remain unclear. Here, we leveraged a rare neurosurgical dataset in which patients performed verbal episodic memory tasks during intrahippocampal intracranial EEG recordings prior to en bloc hippocampal resection, enabling integration of encoding-related oscillatory signatures with matched cell-type-resolved transcriptomics from the same individuals. Subsequent memory effects (SMEs) spanned delta/theta, gamma, and hippocampal ripple activity across anterior and posterior hippocampus. Single-nucleus RNA sequencing from anatomically matched anterior and posterior tissue revealed longitudinal transcriptional gradients, most prominent in excitatory neurons. Spatial transcriptomic maps validated axis-enriched transcripts and their localization. Linking subject-specific SMEs to gene expression identified distinct molecular programs: anterior low frequency SMEs associated with synaptic and chromatin-regulatory pathways, and posterior high-frequency SMEs associated with metabolic and protein synthesis processes. Gene regulatory network inference further revealed axis-specific hub architectures. Together, these results define a cell-type-specific genetic architecture linking longitudinal molecular specialization to the human hippocampal encoding dynamics.

neuroscience↗

Missing data in single-cell transcriptomes reveals transcriptional shifts

Profiling thousands of single cell transcriptomes is routine, yet cell prioritization based on response to biological perturbations is challenging and confounded by clustering, normalization and dimensionality reduction strategies. We developed a scoring approach independent of these obstacles that unbiasedly identifies distinct transcriptomes within a set based on missing data patterns, allowing cell prioritization and feature selection for downstream analysis. Our method applied to D. discoideum reveals a metabolic shift that marks the transition between the amoeboid and aggregated states of this model organism.

bioinformatics↗

Stimulation modulates cell assemblies linked with gene networks in the human temporal cortex ex vivo

Deep brain stimulation of the temporal cortex can enhance learning and memory in the face of cognitive impairment. Despite the potential of such therapies, the neural and genetic mechanisms underlying the effect of stimulation on human brain circuits are not understood. To explicate direct mechanisms of neural modulation elicited by brain stimulation, we developed an ex vivo approach utilizing microelectrode array stimulation and recording of resected temporal cortex from neurosurgical patients. We find that stimulation preferentially increases firing rates in pyramidal cells compared to interneurons and also strengthens cell assemblies. Using single cell multiomics, we link the observed physiological changes to cell type-specific gene expression patterns. We detail gene regulatory networks that indicate preferential involvement of specific excitatory neuron subtypes and the response of non-neurons. We conclude that the overall impact of stimulation on the human temporal cortex is activation of specific excitatory neurons and enhanced cell assembly activity, and that these changes are supported by gene networks involving immediate early, synaptic, and ion channel genes. Our findings establish a foundation to identify targetable cell type-specific genetic signatures that may be harnessed for therapeutic benefit in future neuromodulation strategies.

neuroscience↗

The Evolutionary Landscape of tRNA Modifications in Archaea: Insights from High-Throughput Sequencing

Transfer RNA (tRNA) modifications are essential for structural integrity, decoding fidelity, and stress adaptation, yet their evolutionary dynamics remain poorly understood. Here, we apply Ordered Two-Template Relay sequencing (OTTR-seq) to comprehensively profile tRNA modifications across nine archaeal species spanning diverse ecological niches. We uncover coordinated and mutually exclusive methylation at acceptor stem positions 6 and 67 in hyperthermophiles, as well as clade-specific co-modification at positions 10 and 26, which are typically known for their importance as tRNA modification anti-determinants. Comparative analyses also reveal lineage-specific divergence in the domain architectures of tRNA methyltransferases, including Trm14, Trm10, Trm11, and Trm1. We further refine known identity elements such as the G10oU25 pairing, and highlight novel structural contexts that facilitate or prevent modification. These findings exemplify the co-evolution of tRNAs and their modifying enzymes, providing new insights into how archaea may fine-tune translation in extreme environments. The scope of these data and comparative analyses establish a multispecies framework for future biochemical, mechanistic, and predictive modeling efforts.

evolutionary biology↗

The polyadenylase PAPI is required for virulence plasmid maintenance in pathogenic bacteria

Many species of pathogenic bacteria harbor critical plasmid-encoded virulence factors, and yet the regulation of plasmid replication is often poorly understood despite playing a critical role in plasmid-encoded gene expression. Human pathogenic Yersinia, including the plague agent Y. pestis and its close relative Y. pseudotuberculosis, require the type III secretion system (T3SS) virulence factor to subvert host defense mechanisms and colonize host tissues. The Yersinia T3SS is encoded on the IncFII plasmid for Yersinia virulence (pYV). Several layers of gene regulation enables a large increase in expression of Yersinia T3SS genes at mammalian body temperature. Surprisingly, T3SS expression is also controlled at the level of gene dosage. The number of pYV molecules relative to the number of chromosomes per cell, referred to as plasmid copy number, increases with temperature. The ability to increase and maintain elevated pYV plasmid copy number, and therefore T3SS gene dosage, at 37{degrees}C is important for Yersinia virulence. In addition, pYV is highly stable in Yersinia at all temperatures, despite being dispensable for growth outside the host. Yet how Yersinia reinforces elevated plasmid replication and plasmid stability remains unclear. In this study, we show that the chromosomal gene pcnB encoding the polyadenylase PAP I is required for regulation of pYV plasmid copy number (PCN), maintenance of pYV in the bacterial population outside the host, robust T3SS activity, and Yersinia virulence in a mouse infection model. Likewise, pcnB/PAP I is also required for robust expression of the Shigella flexneri virulence plasmid-encoded T3SS. Furthermore, Yersinia and Shigella pcnB/PAP I is required for maintaining normal PCN of model antimicrobial resistance (AMR) plasmids whose replication is regulated by sRNA, thereby increasing antibiotic resistance by ten-fold. These data suggest that pcnB/PAP I contributes to the spread and stabilization of virulence and AMR plasmids in bacterial pathogens, and is essential in maintaining the gene dosage required to mediate plasmid-encoded traits. Importantly pcnB/PAP I has been bioinformatically identified in many species of bacteria despite being studied in only a few species to date. Our work highlights the potential importance of pcnB/PAP I in antibiotic resistance, and shows for the first time that pcnB/PAP I reinforces PCN and virulence plasmid stability in natural pathogenic hosts with a direct impact on bacterial virulence. Author SummaryMany pathogens carry extrachromosomal DNA elements known as plasmids, which encode genes that confer bacterial virulence or antimicrobial resistance (AMR). Acquisition of these plasmids by bacteria can lead to the emergence of new pathogenic traits and the spread of AMR, yet the mechanisms by which plasmids are retained in bacterial populations particularly in the absence of selective pressure remain incompletely understood. Here we show that the major bacterial polyadenylase enzyme PAP I, encoded by the pcnB gene, is critical for the human pathogen Yersinia pseudotuberculosis to maintain its native virulence plasmid as well as AMR plasmids. Very little is known about the process of polyadenylation in bacteria, or the post-transcriptional addition of adenosine residues to the 3 end of transcripts. This study represents the first demonstration that PAP I-mediated polyadenylation contributes to bacterial pathogenesis.

microbiology↗

SPLICER: A Highly Efficient Base Editing Toolbox That Enables In Vivo Therapeutic Exon Skipping

Exon skipping technologies enable exclusion of targeted exons from mature mRNA transcripts, which has broad applications in molecular biology, medicine, and biotechnology. Existing exon skipping techniques include antisense oligonucleotides, targetable nucleases, and base editors, which, while effective for specific applications at some target exons, remain hindered by shortcomings, including transient effects for oligonucleotides, genotoxicity for nucleases and inconsistent exon skipping for base editors. To overcome these limitations, we created SPLICER, a toolbox of next-generation base editors consisting of near-PAMless Cas9 nickase variants fused to adenosine or cytosine deaminases for the simultaneous editing of splice acceptor (SA) and splice donor (SD) sequences. Synchronized SA and SD editing with SPLICER improves exon skipping, reduces aberrant outcomes, including cryptic splicing and intron retention, and enables skipping of exons refractory to single splice-site editing. To demonstrate the therapeutic potential of SPLICER, we targeted APP exon 17, which encodes the amino acid residues that are cleaved to form the A{beta} plaques in Alzheimers disease. SPLICER reduced the formation of A{beta}42 peptides in vitro and enabled efficient exon skipping in a mouse model of Alzheimers disease. Overall, SPLICER is a widely applicable and efficient toolbox for exon skipping with broad therapeutic applications.

bioengineering↗

Minuteman - A versatile cloud computational platform for collaborative research

Secure platforms for bio-computation are critical to foster increasingly complex and data-intensive collaborations involving biomedical data. Here, we present Minuteman - an open-source cloud computing platform that can be securely used across organizations. Minuteman can be used for hosting data sources and running computational pipelines in an organized way. The platform consists of three fundamental features, 1) data operations including collaborative data processing and analytics, 2) customizable user access management for secure dissemination of the data, and 3) interactive exploration of the data through 3rd party (e.g. shiny, dashboard etc.) applications that can be scaled using docker containers. Strict data access rules and user-specific roles are applied across the whole platform to maintain data security. Minuteman is ideal for scenarios where data security, and privileged access are critical, such as industry-academia collaborations, and multi-institution consortiums. Using single-cell transcriptomics preprocessing, analyses and visualization pipelines across labs, we showcase the utility of the Minuteman platform for biomedical data analyses. Minuteman code is available at (https://github.com/hayatlab/minuteman)

bioinformatics↗

tRNA Methylation Resolves Codon Usage Bias at the Limit of Cell Viability

The codon usage of each genome is closely correlated with the abundance of tRNA isoacceptors. How codon-usage bias is resolved by tRNA post-transcriptional modifications is largely unknown. Here we demonstrate that the N1-methylation of guanosine at position 37 (m1G37) on the 3-side of the anticodon, while not directly responsible for reading of codons, is a neutralizer that resolves differential decoding of proline codons. A genome-wide suppressor screen of a non-viable E. coli strain, m1G37-lacking, identifies proS suppressor mutations, indicating a coupling of methylation with tRNA prolyl-aminoacylation that sets the limit of cell viability. Using these suppressors, where prolyl-aminoacylation is decoupled from tRNA methylation, we show that m1G37 neutralizes differential translation of proline codons by the major isoacceptor. Lacking of m1G37 inactivates this neutralization and exposes the need for a minor isoacceptor for cell viability. This work has medical implications for bacterial genomes that exclusively use the major isoacceptor for survival.

microbiology↗

SciViewer- An interactive browser for visualizing single cell datasets

Single-cell sequencing improves our ability to understand biological systems at single-cell resolution and can be used to identify novel drug targets and optimal cell-types for target validation. However, tools that can interactively visualize and provide target-centric views of these large datasets are limited. We present SciViewer (Single-cell Interactive Viewer), a novel tool to interactively visualize, annotate and share single-cell datasets. SciViewer allows visualization of cluster, gene and pathway level information such as clustering annotation, differential expression, pathway enrichment, cell-type specificity, cellular composition, normalized gene expression and comparison across datasets. Further, we provide APIs for SciViewer to interact with publicly available pharmacogenomics databases for systematic evaluation of potential novel drug targets. We provide a module for non-programmatic upload of single-cell datasets. SciViewer will be a useful tool for data exploration and target discovery from single-cell datasets. It is available on GitHub (https://github.com/Dhawal-Jain/SciViewer).

bioinformatics↗

GMP-grade neural progenitor derivation and differentiation from clinical-grade human embryonic stem cells

A major challenge for the clinical use of human pluripotent stem cells is the development of safe, robust and controlled differentiation protocols. Adaptation of research protocols using reagents designated as research-only to those which are suitable for clinical use, often referred to as Good Manufacturing Practice (GMP) reagents, is a crucial and laborious step in the translational pipeline. However, published protocols to assist this process remain very limited. Here we present a new GMP-compliant protocol to derive long-term neuroepithelial stem cell progenitors (lt-NES), which are multipotent, bankable, and karyotypically stable. This protocol resulted in robust and reproducible differentiation of several clinical-grade embryonic stem cells, deposited in the UK Stem Cell Bank, from which we derived lt-NES. Furthermore, GMP-derived lt-NES demonstrated a high neurogenic potential while retaining the ability to be redirected to several neuronal sub-types. Overall, we report the feasibility of derivation and differentiation of clinical grade embryonic stem cell lines into lt-NES under GMP-compliant conditions. Our protocols could be used as a flexible tool to speed up translation-to-clinic of pluripotent stem cells for a variety of neurological therapies or regenerative medicine studies.

cell biology↗

Dopamine neuron dependent behaviors mediated by glutamate cotransmission

Dopamine neurons in the ventral tegmental area use glutamate as a cotransmitter. To elucidate the behavioral role of the cotransmission, we targeted the glutamate-recycling enzyme glutaminase (gene GLS1). In mice with a DAT-driven conditional heterozygous (cHET) reduction of GLS1 in their dopamine neurons, dopamine neuron survival and transmission were unaffected, while glutamate cotransmission at phasic firing frequencies was reduced, enabling focusing the cotransmission. DAT GLS1 cHET mice showed normal emotional and motor behaviors, and an unaffected response to acute amphetamine. Strikingly, amphetamine sensitization was reduced and latent inhibition potentiated. These behavioral effects, also seen in global GLS1 HETs with a schizophrenia resilience phenotype, were not seen in mice with an Emx1-driven forebrain reduction affecting most brain glutamatergic neurons. Thus, a reduction in dopamine neuron glutamate cotransmission appears to mediate significant components of the GLS1 HET schizophrenia resilience phenotype, and glutamate cotransmission appears to be important in attribution of motivational salience.

neuroscience↗