Biology subjects

Roberts, J. M.

Publications and source records attributed to Roberts, J. M..

13 recordsLinked to original sources

bioRxiv2026

Apoptosis at the optic fissure shapes transient retinal myeloid states

Microglia and CNS-associated macrophages (CAMs) originate from yolk sac erythromyeloid progenitors, yet the process that mediates their colonization of the mammalian eye and the developmental cues that promote their diversification remain unclear. Here, we identify the optic fissure as the primary entry site for myeloid cells into the embryonic mouse retina. This entry is spatially and temporally coupled with a localized wave of cell death. This apoptotic niche contains colonizing myeloid cells in a transient CD206+ state, and apoptotic burden directly correlates with CD206 expression across development. We find that disrupting apoptotic recognition pathways, specifically Cx3cr1 and Itgam, promotes enrichment of CD206+ cells; likewise, increasing cell death via genetic loss of Atoh7 results in elevated CD206+ population, indicating that impaired clearance and increased death converge on a common outcome within a constrained developmental window. Both CD206+ and CD206- subsets contribute to phagocytosis during optic fissure closure, indicating that CD206 expression does not mark a specialized phagocytic subset. Intriguingly, unlike parenchymal microglia, CD206+ cells are selectively spared from pharmacological CSF1R inhibition, revealing distinct survival requirements within the fissure niche. Together, these findings indicate that localized apoptotic niches encountered during myeloid cell entry influence the initial states and properties of CNS-resident myeloid cells.

neuroscience↗

bioRxiv2026

Klf4 overexpression remodels chromatin to reprogram late retinal progenitors toward an retinal ganglion cell-like fate

Developing neuron-replacement therapies for retinal ganglion cells (RGCs) lost to injury or disease requires a deeper understanding of how restriction to cell identity acquisition may be overcome. Previously, we showed that overexpression of Klf4 in late retinal progenitor cells (late RPCs), which are normally restricted from RGC production, is sufficient to produce cells that display a subset of canonical RGC properties including RGC-associated gene expression and morphological features. In the present study, we investigated the transcriptional and epigenetic mechanisms by which Klf4 overexpression influences the fate of cell types generated from late RPCs. scRNA-seq analysis revealed that Klf4 induces transcriptional changes, with some cells exhibiting gene expression profiles similar to those of resident RGCs. In addition, we observed widespread changes in chromatin accessibility, suggesting that KLF4 remodels the chromatin of late RPCs and influences their transcriptional profile. Our findings show KLF4-driven reprogramming of late RPCs, providing insight into progenitor competence and fate specification to an RGC-like identity. These results suggest that KLF4 could be a component in regenerative therapies due to its ability to reprogram and induce RGC genes outside of the normal RGC developmental window.

neuroscience↗

bioRxiv2025

Clustering of host N-glycans licenses Toxoplasma rhoptry discharge

Apicomplexan parasites must discharge the contents of specialized organelles called rhoptries into host cells to initiate the process of invasion. This process requires the prior recognition and binding of the host cell by proteins released from another set of parasite organelles, the micronemes. However, the host-parasite interactions required for rhoptry discharge are largely unknown. Here we performed a host-cell directed genome-wide screen for host factors required for rhoptry discharge from Toxoplasma gondii, the causative agent of toxoplasmosis. The screen identified host N-glycosylation and cholesterol biosynthesis as pathways required for normal rhoptry discharge. A trimeric microneme complex, MIC1/4/6, interfaces with both pathways by binding host N-glycans to cluster proteins in a process dependent on host plasma membrane cholesterol. The process can be inhibited by depletion of host cholesterol or competition with exogenous glycans. This clustering of host factors by MIC1/4/6 likely prepares the host membrane for rhoptry discharge, delineating a new step in the Toxoplasma invasion process.

microbiology↗

bioRxiv2025

Atlas of Lysosomal Aging Reveals a Molecular Clock of Storage Disorder-Associated Metabolites

Lysosomal dysfunction is a well-recognized feature of aging, yet its systematic molecular investigation remains limited. Here, we employ a suite of tools for rapid lysosomal isolation to construct a multi-tissue atlas of the metabolite changes that murine lysosomes undergo during aging. Aged lysosomes in brain, heart, muscle and adipose accumulate glycerophosphodiesters and cystine, metabolites that are causally linked to juvenile lysosomal storage disorders like Batten disease. Levels of these metabolites increase linearly with age, preceding organismal decline. Caloric restriction, a lifespan-extending intervention, mitigates these changes in the heart but not the brain. Our findings link lysosomal storage disorders to aging-related dysfunction, uncover a metabolic lysosomal "aging clock," and open avenues for the mechanistic investigation of how lysosomal functions deteriorate during aging and in age-associated diseases. One-Sentence SummaryAging in mice is tracked by a lysosomal "clock", where glycerophosphodiesters and cystine - metabolites causally linked to juvenile lysosomal storage disorders - gradually accumulate in lysosomes of the brain, heart, skeletal muscle and adipose tissue.

cell biology↗

bioRxiv2024

CD11c-expressing microglia are transient, driven by interactions with apoptotic cells

Microglia, the parenchymal macrophage of the central nervous system serve crucial remodeling functions throughout development. Microglia are transcriptionally heterogenous, suggesting that distinct microglial states confer discrete roles. Currently, little is known about how dynamic these states are, the cues that promote them, or how they impact microglial function. In the developing retina, we previously found a significant proportion of microglia express CD11c (Integrin X, complement receptor 4, Itgax) which has also been reported in other developmental and disease contexts. Here, we sought to understand the regulation and function of CD11c+ microglia. We found that CD11c+ microglia track with prominent waves of neuronal apoptosis in postnatal retina. Using genetic fate mapping, we provide evidence that microglia transition out of the CD11c state to return to homeostasis. We show that CD11c+ microglia have elevated lysosomal content and contribute to the clearance of apoptotic neurons, and found that acquisition of CD11c expression is, in part, dependent upon the TAM receptor Axl. Using selective ablation, we found CD11c+ microglia are not uniquely critical for phagocytic clearance of apoptotic cells. Together, our data suggest CD11c+ microglia are a transient state induced by developmental apoptosis rather than a specialized subset mediating phagocytic elimination.

neuroscience↗

bioRxiv2024

Pou4f2/Brn3b Overexpression Promotes The Genesis Of Retinal Ganglion Cell-Like Projection Neurons From Late Progenitors

Retinal ganglion cells (RGCs) are the projection neurons of the retina. In early retinal progenitor cells (RPCs), Atoh7 orchestrates the developmental RGC program and regulates the expression of critical downstream targets, including Pou4f factors. The absence of Pou4f2 or more POU4F family genes results in defects in RGC differentiation, aberrant axonal elaboration and ultimately RGC death, confirming the requirement of POU4F factors for RGC development and survival, with a critical role in regulating RGC axon outgrowth and pathfinding. Here, we investigated in vivo whether ectopic Pou4f2 expression in late retinal progenitor cells (late RPCs) is sufficient to induce the generation of cells with RGC properties, including projecting axons to the brain. Using a strong ubiquitous promoter to induce Pou4f2 overexpression in neonates, we observed a change in targeted cell distribution in the retinal tissue, including the presence of cells in the ganglion cell layer and inner plexiform layer with high density of GFP+ processes along the retina. Similar results on the induction of neuron processes were obtained when we overexpressed Pou4f2 in Atoh7 knockout mice, suggesting that POU4F2 is sufficient to induce them. Single-cell RNA sequencing (scRNA-seq) analysis shows that several RGC-genes (such as Rbpms, Gap-43, Hs6st3, and Foxp2) are upregulated after Pou4f2 overexpression. Additionally, gene ontology analysis indicates the induction of genes related to axonogenesis and neuronal differentiation. Imaging throughout the visual pathway revealed high density of axons projecting toward the optic nerve head and extending to brain regions, such as the superior colliculus and geniculate nucleus. Thus, Pou4f2 induced neurons with specific RGC characteristics that share similarities with resident RGCs and notably project axons that reach brain targets. In conclusion, these results showed that POU4F2 alone was sufficient to promote critical properties of projection neurons from retinal progenitors outside their developmental window.

neuroscience↗

bioRxiv2022

Predicting higher-order mutational effects in an RNA enzyme by machine learning of high-throughput experimental data

Ribozymes are RNA molecules that catalyze biochemical reactions. Self-cleaving ribozymes are a common naturally occurring class of ribozymes that catalyze site-specific cleavage of their own phosphodiester backbone. In addition to their natural functions, self-cleaving ribozymes have been used to engineer control of gene expression because they can be designed to alter RNA processing and stability. However, the rational design of ribozyme activity remains challenging, and many ribozyme-based systems are engineered or improved by random mutagenesis and selection (in vitro evolution). Improving a ribozyme-based system often requires several mutations to achieve the desired function, but extensive pairwise and higher-order epistasis prevent a simple prediction of the effect of multiple mutations that is needed for rational design. Recently, high-throughput sequencing-based approaches have produced data sets on the effects of numerous mutations in different ribozymes (RNA fitness landscapes). Here we used such high-throughput experimental data from variants of the CPEB3 self-cleaving ribozyme to train a predictive model through machine learning approaches. We trained models using either a random forest or long short-term memory (LSTM) recurrent neural network approach. We found that models trained on a comprehensive set of pairwise mutant data could predict active sequences at higher mutational distances, but the correlation between predicted and experimentally observed self-cleavage activity decreased with increasing mutational distance. Adding sequences with increasingly higher numbers of mutations to the training data improved the correlation at increasing mutational distances. Systematically reducing the size of the training data set suggests that a wide distribution of ribozyme activity may be the key to accurate predictions. Because the model predictions are based only on sequence and activity data, the results demonstrate that this machine learning approach allows readily obtainable experimental data to be used for RNA design efforts even for RNA molecules with unknown structures. The accurate prediction of RNA functions will enable a more comprehensive understanding of RNA fitness landscapes for studying evolution and for guiding RNA-based engineering efforts.

molecular biology↗

bioRxiv2022

RNA sequence to structure analysis from comprehensive pairwise mutagenesis of multiple self-cleaving ribozymes

Self-cleaving ribozymes are RNA molecules that catalyze the cleavage of their own phosphodiester backbones. These ribozymes are found in all domains of life and are also a tool for biotechnical and synthetic biology applications. Self-cleaving ribozymes are also an important model of sequence to function relationships for RNA because their small size simplifies synthesis of genetic variants and self-cleaving activity is an accessible readout of the functional consequence of the mutation. Here we used a high-throughput experimental approach to determine the relative activity for every possible single and double mutant of five self-cleaving ribozymes. From this data, we comprehensively identified non-additive effects between pairs of mutations (epistasis) for all five ribozymes. We analyzed how changes in activity and trends in epistasis map to the ribozyme structures. The variety of structures studied provided opportunities to observe several examples of common structural elements, and the data was collected under identical experimental conditions to enable direct comparison. Heat-map based visualization of the data revealed patterns indicating structural features of the ribozymes including paired regions, unpaired loops, non-canonical structures and tertiary structural contacts. The data also revealed signatures of functionally critical nucleotides involved in catalysis. The results demonstrate that the data sets provide structural information similar to chemical or enzymatic probing experiments, but with additional quantitative functional information. The large-scale data sets can be used for models predicting structure and function and for efforts to engineer self-cleaving ribozymes.

molecular biology↗

bioRxiv2022

Neuronal apoptosis drives remodeling states of microglia and shifts in survival pathway dependence

Microglia serve critical remodeling roles that shape the developing nervous system, responding to the changing neural environment with phagocytosis or soluble factor secretion. Recent single-cell sequencing (scRNAseq) studies have revealed the context-dependent diversity in microglial properties and gene expression, but the cues promoting this diversity are not well defined. Here, we ask how interactions with apoptotic neurons shape microglial state, including lysosomal and lipid metabolism gene expression and independence from Colony-stimulating factor 1 receptor (CSF1R) for survival. Using early postnatal mouse retina, a CNS region undergoing significant developmental remodeling, we performed scRNAseq on microglia from mice that are wild-type, lack neuronal apoptosis (Bax KO), or are treated with CSF1R inhibitor (PLX3397). We find that interactions with apoptotic neurons drives multiple microglial remodeling states, subsets of which are resistant to CSF1R inhibition. We find that TAM receptor Mer and complement receptor 3 are required for clearance of apoptotic neurons, but that Mer does not drive expression of remodeling genes. We show TAM receptor Axl is negligible for phagocytosis or remodeling gene expression but is consequential for microglial survival in the absence of CSF1R signaling. Thus, interactions with apoptotic neurons shift microglia towards distinct remodeling states and through Axl, alters microglial dependence on survival pathway, CSF1R.

neuroscience↗

bioRxiv2021

Using antibody synergy to engineer a high potency biologic cocktail against C. difficile

Here we show that transgenic spirulina may solve key challenges of developing effective monoclonal protein therapeutics for diseases afflicting gastrointestinal (GI) tissues. We describe, as a paradigm for this novel approach, LMN-201: an investigational four-component treatment for Clostridioides difficile (C. difficile) infection comprising four monoclonal protein therapeutics produced and delivered within spirulina biomass. Three antibody-like moieties within LMN-201 were rationally designed using a multiplicative potency framework, termed synthetic avidity, that increased in vitro toxin neutralization potency by >200-fold relative to the individual components. The fourth moiety, a lysin enzyme protein, adds direct, toxinotype-agnostic antibacterial activity. In rodent challenge models, species-relevant LMN-201-like cocktails reduced disease burden and mortality. In a human GI pharmacokinetic study, LMN-201 was present at concentrations 100- to 1,000-fold above the estimated minimally effective therapeutic threshold at the distal intestine. In a Phase 2 study in participants suffering from C. difficile infection (CDI), seven days of treatment with LMN-201 plus standard-of-care antibiotics achieved initial clinical cure in 21/21 (100%) participants, sustained clinical cure through four weeks in 19/21 (90.5%) participants, and had a favorable safety profile. These findings support LMN-201 with standard-of-care antibiotics as a viable treatment option for CDI, validate spirulina as a scalable platform for oral biologics, and establish a generalizable strategy for engineering high-potency combination protein therapeutics for diseases with a GI tissue nexus.

bioengineering↗

bioRxiv2020

Genome-wide CRISPR screens reveal multitiered mechanisms through which mTORC1 senses mitochondrial dysfunction

In mammalian cells, nutrients and growth factors signal through an array of upstream proteins to regulate the mTORC1 growth control pathway. Because the full complement of these proteins has not been systematically identified, we developed a FACS-based CRISPR-Cas9 genetic screening strategy to pinpoint genes that regulate mTORC1 activity. Along with almost all known positive components of the mTORC1 pathway, we identified many new genes that impact mTORC1 activity, including DCAF7, CSNK2B, SRSF2, IRS4, CCDC43, and HSD17B10. Using the genome-wide screening data, we generated a focused sublibrary containing single guide RNAs (sgRNAs) targeting hundreds of genes and carried out epistasis screens in cells lacking nutrient- and stress-responsive mTORC1 modulators, including GATOR1, AMPK, GCN2, and ATF4. From these data, we pinpointed mitochondrial function as a particularly important input into mTORC1 signaling. While it is well appreciated that mitochondria signal to mTORC1, the mechanisms are not completely clear. We find that the kinases AMPK and HRI signal, with varying kinetics, mitochondrial distress to mTORC1, and that HRI acts through the ATF4-dependent upregulation of both Sestrin2 and Redd1. Loss of both AMPK and HRI is sufficient to make mTORC1 largely resistant to mitochondrial dysfunction. Taken together, our data reveal a catalog of genes that impact the mTORC1 pathway and clarify the multifaceted ways in which mTORC1 senses mitochondrial dysfunction.

cell biology↗

bioRxiv2019

Feeding Status Influences Adult Vine Weevil (Coleoptera: Curculionidae) Behaviour to Conspecific Volatiles

Vine weevil, Otiorhynchus sulcatus F. (Coleoptera: Curculionidae), is widely considered to be one of the most economically important pests of soft-fruit and ornamental crops. The chemical ecology of vine weevil has been extensively studied in the pursuit of a semiochemical lure to improve monitoring tool sensitivity/reliability and develop novel control methods. Although vine weevil adults exhibit a strong tendency to aggregate, the mechanism underlying this behaviour has not, to date, been identified. It is notable, however, that previous studies have not considered the impact of feeding status on vine weevil aggregation behaviour. To investigate the importance of feeding status on aggregation behavior, this study recorded the responses of satiated and starved vine weevil adults to the odour of starved conspecifics. Satiated adults exhibited a preference for the odour of conspecifics while starved vine weevils exhibited no such preference. Therefore, this study provides evidence to support the hypothesis that feeding status is an important factor for vine weevil aggregation.

animal behavior and cognition↗

bioRxiv2017

The ANTs Longitudinal Cortical Thickness Pipeline

Longitudinal studies of development and disease in the human brain have motivated the acquisition of large neuroimaging data sets and the concomitant development of robust methodological and statistical tools for quantifying neurostructural changes. Longitudinal-specific strategies for acquisition and processing have potentially significant benefits including more consistent estimates of intra-subject measurements while retaining predictive power. In this work, we introduce the open-source Advanced Normalization Tools (ANTs) registration-based cortical thickness longitudinal processing pipeline and its application to the first phase of the Alzheimers Disease Neuroimaging Initiative (ADNI-1) comprising over 600 subjects with multiple time points from baseline to 36 months. We demonstrate in these data that the single-subject template construction and same orientation processing results in a simultaneous minimization of residual variability and maximization of between-subject variability immediately estimable from a longitudinal mixed-effects modeling strategy. It is known from the statistical literature that optimizing these dual criteria leads to greater scientific interpretability in terms of tighter confidence intervals in calculated mean trends, smaller prediction intervals, and narrower confidence intervals for determining cross-sectional effects. This strategy is evaluated over the entire cortex, as defined by the Desikan-Killiany-Tourville labeling protocol, where comparisons are made with the cross-sectional and longitudinal FreeSurfer processing streams. Subsequent linear mixed effects modeling for identifying diagnostic groupings within the ADNI cohort is provided as supporting evidence for the utility of the proposed ANTs longitudinal framework which provides unbiased structural neuroimage processing and competitive to superior power for longitudinal structural change detection.

neuroscience↗