Biology subjects

Simpson, C.

Publications and source records attributed to Simpson, C..

At least 19 recordsLinked to original sources

bioRxiv2026

Brain shuttle target expression levels vary by individual, not by brain region, disease, age, or sex

Therapeutics fused to brain shuttles that exploit endogenous receptor-mediated transport at the blood-brain barrier (BBB) offer a promising strategy to deliver large molecule drugs and biologics to the CNS. A fundamental but untested assumption underlying their clinical development is that their endothelial receptor targets are consistently expressed between individuals and between patient populations. Here, we analyzed gene and protein expression of eleven canonical brain shuttle targets in isolated human brain microvascular endothelial cells and brain microvessels from 11 large cohorts, using single-cell and single-nucleus transcriptomics and quantitative proteomics. Expression was remarkably stable between brain regions, sexes, ages, and normal health versus four major neurodegenerative conditions, Alzheimers disease, Parkinsons disease, Huntingtons disease, and amyotrophic lateral sclerosis, with 612 of 631 comparisons (97%) showing no significant difference. Regional heterogeneity of brain shuttle targets previously reported in rodent models was not observed in human tissue, and disease states had minimal impact in all diseases examined. In striking contrast, target abundance differed consistently among individuals in every demographic and clinical group, for all eleven targets and all data modalities. These findings establish individual receptor abundance as a critical and previously uncharacterized variable for brain shuttle translational research, including clinical trial design and patient stratification.

neuroscience↗

bioRxiv2026

A light-labile signal molecule acts as a photoregulator of secondary metabolite biosynthesis in a heterotrophic bacterium

While light is essential for many phototrophic organisms, our knowledge of the light-dependent regulation in heterotrophic organisms is scarce. Here, we found that the heterotrophic soil bacterium Pseudomonas protegens differentially accumulated 234 secreted metabolites depending on the light conditions. These metabolites included important antimicrobials such as pyoluteorin, 2,4-diacetylphloroglucinol, pyrrolnitrin, and rhizoxin analogs. Pyoluteorin, for instance, was 140-fold more abundant in the dark, due to a strong upregulation of the transcript of the pyoluteorin biosynthesis gene pltL. We discovered that 2,4-dichlorophloroglucinol (PG-Cl2), an activator of pyoluteorin biosynthesis, acts as a photoregulator that degrades much faster in the presence of light than in the dark. The resulting higher PG-Cl2 levels activate the pltL promoter in the dark. These findings reveal a novel mode of regulation in which light instability of a signal molecule allows the producing organism to sense and transmit light information to regulate the biosynthesis of a secondary metabolite.

microbiology↗

bioRxiv2026

The fossil record of siliceous sponge spicules can be taken at face value

Modern sponges (Porifera) diverged by the Cryogenian, but their silicious skeletons do not appear in the fossil record until one hundred million years later, a time-span termed the "spicule gap" and thought to be a taphonomic artifact even though sponges convergently evolved siliceous spicules. Due to sponges position in animal phylogeny and important role in regulating ocean chemistry, the timing of their biomineralization has major implications for the changing tempo and mode of Earth systems as animals radiate. In a comprehensive dataset of Ediacaran and Cambrian sponges, we find that spicules are readily preserved in Cambrian environments more extreme than those of the Ediacaran. Given the convergent evolution of siliceous spicules, we find that the fossil record accurately represents when spicules first evolved in the different sponge lineages.

paleontology↗

bioRxiv2025

SRRM1 coordinates an alternative splicing program that promotes expression of oncogenic protein isoforms.

The alternative splicing of the adapter protein NUMB is dysregulated in multiple cancer types, regulating its functional divergence towards either tumor suppression or oncogenesis in an isoform-dependant manner. Here we utilized a NUMB exon 9 (E9) splicing reporter in a genome-wide CRISPR screen to identify splicing regulators SRRM1 and SRSF11 that promote NUMB oncogenic splicing in colorectal, lung and breast cancer cell lines. We show that SRRM1 and SRSF11 share common protein interactors, RNA targets and effects on an oncogenic splicing program which favors the expression of pro-tumorigenic isoforms. In addition to NUMB E9, SRRM1 regulates cancer-associated splicing events in genes encoding signaling proteins, transcription factors and actin cytoskeleton regulators, many of which are also developmentally regulated, including CD44, MKNK2, ECT2, DIAPH1, KAT5, TCF7L2, FOXM1 and TBX3. Loss of SRRM1 in colorectal and lung cancer cells reduces cell proliferation, colony formation and invasion capabilities, as well as expression of tumour promoters Cyclin D1, Notum, and PRDX2. Our data indicate that SRRM1 regulation of alternative splicing represents a node to target multiple properties of malignant cells, with broad effects on cellular signaling, proliferation, EMT, apoptosis resistance and stemness.

cancer biology↗

bioRxiv2025

Exosome-mediated delivery of microRNAs by root-knot nematodes

Plant-parasitic nematodes secrete molecules to manipulate their hosts, but little is known about their mode of delivery and packaging. Here, we describe microRNA-containing exosomes that are secreted by root-knot nematodes and systemically increase host susceptibility. By revealing a novel mode of nematode-plant communication, our findings outline a mechanism for the delivery of nematode patho-molecules, offering a new target for disrupting parasitism at the level of vesicle-mediated delivery.

pathology↗

bioRxiv2025

Cell signaling pathways discovery from multi-modal data

Deciphering cell signaling pathways is key to understanding biology, disease mechanisms, and developing new therapies. Although advances in multi-omics technologies provide richer insight into signaling, the data remain high-dimensional, heterogeneous, and difficult to interpret, and current computational tools for inferring signaling pathways are limited. To address this, we developed Incytr, a method for efficient discovery of cell signaling pathways through integration of diverse data modalities, including transcriptomics, ATAC-seq, proteomics, phosphoproteomics, and kinomics. We demonstrate its application in COVID-19, Alzheimers disease, and cancer, where it successfully recovers known pathways and generates novel, cell-type-specific hypotheses supported by multiple data types. We further show how integrating Incytr-derived pathways with biomarker and drug databases can support target and drug discovery. Finally, we show that using Incytr-derived signaling pathways as training data for simple natural language processing models can deepen our understanding of cell-cell communication and immune cell dynamics, while helping identify new therapeutic targets.

bioinformatics↗

bioRxiv2024

Origin of division of labor is decoupled from polymorphism in colonial animals

Division of labor, the specialization of sometimes phenotypically divergent cell types or group members, is often associated with ecological success in eukaryotic colonial organisms. Despite its many independent evolutionary origins, how division of labor originates remains unclear. Conventional hypotheses tend towards an "economic" model, so that biological division of labor may reflect a partitioning of pre-existing tasks and morphologies into specialized colony members. Here, we present an alternative model of the origin of division of labor, which can explain the evolution of new functions within a colony. We show that in colonies of the Cretaceous aged (103-96 Ma) fossil bryozoan of the genus Wilbertopora, the first cheilostome bryozoan to evolve polymorphism, new member morphologies were not a simple partitioning of pre-existing morphologies, but instead expanded into novel morphospace as they lost functions, specifically feeding. This expansion into new morphologies occurred primarily during two pulses of heightened morphological disparity, suggesting that the evolution of polymorphism corresponded to relaxed constraints on morphology and perhaps to the exploration of novel functions. Using a simple model of physiological connections, we show that regardless of the functionality of these new colony members, all non-feeding members could have been supported by neighboring feeding members. This suggests that the geometric constraints and physiological connectedness could be prerequisites for evolving both polymorphism and division of labor in modular organisms, and that a classic partitioning model of specialization cannot be broadly applied to biological systems. One Sentence summaryIn cheilostome bryozoans, polymorphism evolved through the loss of preexisting functions, rather than the gain of new functions, suggesting that polymorphism can evolve through drift rather than division of labor.

paleontology↗

bioRxiv2024

Lifting the curse from high dimensional data: Automated projection pursuit clustering for the variety of biological data modalities

Unsupervised clustering is a powerful machine-learning technique widely used to analyze high-dimensional biological data. It plays a crucial role in uncovering patterns, structure, and inherent relationships within complex datasets without relying on predefined labels. In the context of biology, high-dimensional data may include transcriptomics, proteomics, and a variety of single-cell omics data. Most existing clustering algorithms operate directly in the high-dimensional space, and their performance may be negatively affected by the phenomenon known as the curse of dimensionality. Here, we show an alternative clustering approach that alleviates the curse by sequentially projecting high-dimensional data into a low-dimensional representation. We validated the effectiveness of our approach, named APP, across various biological data modalities, including flow and mass cytometry data, scRNA-seq, multiplex imaging data, and T-cell receptor repertoire data. APP efficiently recapitulated experimentally validated cell-type definitions and revealed new biologically meaningful patterns.

bioinformatics↗

bioRxiv2024

Tissue-resident regulatory T cells exert dualistic anti-tumour and pro-repair function in the exocrine pancreas

Regulatory T cells are fundamentally important for maintaining immune homeostasis, and their potent immune-suppressive roles make them attractive immunotherapeutic targets in cancer. Recent work suggests potential functions of tissue-resident Tregs (trTregs) in tissue-repair and epithelial cell homeostasis. Here, we describe a rare population of trTreg in the exocrine pancreas. We show that these cells share common features of trTregs, including expression of the IL-33 receptor ST2 and production of the epithelial growth factor Amphiregulin, and display an oligoclonal T cell receptor repertoire. Using a mouse model of acute pancreatitis, we show that pancreatic Tregs rapidly expand upon release of IL-33 by fibroblasts. Moreover, depletion of Tregs after initiation of pancreatic injury impairs the regeneration of the exocrine parenchyma. This effect is due, in part, through a direct effect of Tregs on acinar cell proliferation. Finally, we show that transient Treg depletion in established orthotopic pancreatic tumours leads to tumour rejection yet provokes long-lasting damages to surrounding exocrine parenchyma. In all, our results demonstrate the tissue-repair capacity of pancreatic Tregs, and highlight a dualistic role of these cells in the pancreatic tumour ecosystem, with their harmful immune-suppressive function in the tumour coupled to a beneficial tissue-repair function in the surrounding tissue.

immunology↗

bioRxiv2024

Experimental Snowball Earth Viscosity Drives the Evolution of Motile Multicellularity

During the 70-million-year span of the Cryogenian Snowball Earth glaciations, low ocean temperatures beneath global sea ice increased water viscosity up to fourfold. In the absence of adaptation, unicellular organisms living in this viscous environment were limited in their ability to move and acquire nutrients. We experimentally test the hypothesis that multicellularity evolved in order to overcome this viscosity-induced metabolic deficit. In the presence of Snowball Earth viscosities, we find that populations of unicellular green algae evolve motile multicellular phenotypes in addition to other phenotypes that optimize different combinations of size and speed. As the Snowball Earth subsided and warm seas returned, the novelty of motile multicellularity permitted these organisms to take physical control over their local environment for the first time. This innovation may underpin the evolution of dominant multicellular lineages on Earth today. Significance statementBeginning 720-million years ago, two global glaciations -- together known as the Snowball Earth -- covered the planet with a thick layer of ice for a total of 70-million years. Several groups of complex multicellular organisms independently radiated at this time, including animals, green algae, and red algae. All of these clades include lineages with large bodies made of thousands of cells, multiple cell types, and spatial organization. At first glance, it seems that life merely survived despite the Snowball Earth glaciations. We find experimental evidence that the Snowball Earth glaciations were instead an evolutionary trigger for the diversification of complex multicellular groups.

evolutionary biology↗

bioRxiv2023

Physical constraints during Snowball Earth drive the evolution of multicellularity

Molecular and fossil evidence suggest that complex eukaryotic multicellularity evolved during the late Neoproterozoic era, coincident with Snowball Earth glaciations, where ice sheets covered most of the globe. During this period, environmental conditions--such as sea water temperature and the availability of photosynthetically active light in the oceans--likely changed dramatically. Such changes would have had significant effects on both resource availability and optimal phenotypes. Here, we construct and apply mechanistic models to explore (i) how environmental changes during Snowball Earth and biophysical constraints generated selective pressures and (ii) how these pressures may have had differential effects on organisms with different forms of biological organization. By testing a series of alternate--and commonly debated--hypotheses, we demonstrate how multicellularity was likely acquired differently in eukaryotes and prokaryotes due to selective differences in the biophysical and metabolic regimes they experience: decreasing temperatures and resource-availability instigated by the onset of glaciations generated selective pressures towards smaller sizes in organisms in a diffusive regime and towards larger sizes in motile heterotrophs. These results suggest that changing environmental conditions during Snowball Earth glaciations gave multicellular eukaryotes an evolutionary advantage, paving the way for the complex multicellular lineages that followed.

evolutionary biology↗

bioRxiv2023

Drivers of population dynamics of at-risk populations change with pathogen arrival

Successful wildlife conservation in an era of rapid global change requires understanding determinants of species population abundance and growth. However, when populations are faced with novel stressors, factors associated with healthy and growing populations can change, necessitating a shift in conservation strategies. For example, emerging infectious diseases can cause conditions previously beneficial or neutral to host populations to increase disease impacts. Here, we paired a population dataset of 265 colonies of the federally endangered Indiana bat (Myotis sodalis) with 50.7 logger-years of environmental data to explore factors that affected colony response to white-nose syndrome (WNS), an emerging fungal disease. We found wide variation in colony responses to WNS, ranging from extirpation to stabilization and persistence. Simulating future population dynamics suggests that most extirpations have already occurred, as the pathogen has been present for several years in most colonies, and that small colonies were more susceptible to extirpation than large ones. Further, while temperature and humidity conditions of hibernacula appeared unassociated with Indiana bat colony growth prior to WNS, extirpation risk following pathogen arrival was elevated in colonies that used colder and wetter hibernacula. Additionally, rates of decline were greater in colder hibernacula, opposite the association for a sympatric bat species. Overall, this study illustrates that emerging infectious diseases can change the factors associated with host population abundance and optimal growth, including through novel environmental associations, which can vary across host species. Consideration of these shifting associations and intrinsic differences between impacted host species will be essential to successful species conservation.

ecology↗

bioRxiv2022

Characterization and Preclinical Treatment of Rotational Force-Induced Brain Injury

Millions of traumatic brain injuries (TBIs) occur annually. TBIs commonly result from falls, traffic accidents, and sports-related injuries, all of which involve rotational acceleration/deceleration of the brain. During these injuries, the brain endures a multitude of primary insults including compression of brain tissue, damaged vasculature, and diffuse axonal injury. All of these deleterious effects can contribute to secondary brain ischemia, cellular death, and neuroinflammation that progress for weeks to months after injury and impede neurological recovery. While the linear effects of head trauma have been extensively modeled, less is known about how rotational injuries mediate neuronal damage following injury. Here, we developed a new model of rotational head trauma in rodents and extensively characterized the pathological, behavioral, and electrophysiological effects of rotational TBI (rTBI). We identify aberrant cyclin dependent kinase 5 (Cdk5) activity as a principal mediator of rTBI and show pharmacological inhibition of Cdk5 reduces the cognitive and pathological consequences of injury. Finally, we utilize Cdk5-enriched phosphoproteomics to uncover potential downstream mediators of rTBI. These studies contribute meaningfully to our understanding of the mechanisms of rTBI and how they may be effectively treated.

neuroscience↗

bioRxiv2021

Micro- and macroevolutionary change of colony-level traits in bryozoans

The study of trait evolution in modular animals is more complicated than that in solitary animals, because a single genotype of a modular colony can express an enormous range of phenotypic variation. Furthermore, traits can occur either at the module level or at the colony level. However, it is unclear how the traits at the colony level evolve. We test whether colony-level aggregate traits, defined as the summary statistics of a phenotypic distribution, can evolve. To quantify this evolutionary potential, we use parent-offspring pairs in two sister species of the bryozoan Stylopoma, grown and bred in a common garden breeding experiment. We find that the medians of phenotypic distributions are evolvable between generations of colonies. We also find that the structure of this evolutionary potential differs between these two species. Ancestral species align more closely with the direction of species divergence than the descendent species. This result indicates that aggregate trait evolvability can itself evolve.

evolutionary biology↗

bioRxiv2021

BaRTv2: A highly resolved barley reference transcriptome for accurate transcript-specific RNA-seq quantification

Accurate characterization of splice junctions as well as transcription start and end sites in reference transcriptomes allows precise quantification of transcripts from RNA-seq data and enable detailed investigations of transcriptional and post-transcriptional regulation. Using novel computational methods and a combination of PacBio Iso-seq and Illumina short read sequences from 20 diverse tissues and conditions, we generated a comprehensive and highly resolved barley reference transcript dataset (RTD) from the European 2-row spring barley cultivar Barke (BaRTv2.18). Stringent and thorough filtering was carried out to maintain the quality and accuracy of the splice junctions and transcript start and end sites. BaRTv2.18 shows increased transcript diversity and completeness compared to an earlier version, BaRTv1.0. The accuracy of transcript level quantification, splice junctions and transcript start and end sites has been validated extensively using parallel technologies and analysis, including high resolution RT PCR and 5 RACE. BaRTv2.18 contains 39,434 genes and 148,260 transcripts, representing the most comprehensive and resolved reference transcriptome in barley to date. It provides an important and high-quality resource for advanced transcriptomic analyses, including both transcriptional and post-transcriptional regulation, with exceptional resolution and precision.

plant biology↗

bioRxiv2021

Hexavalent Sperm-Binding IgG Antibody Released from Self-Dissolving Vaginal Film Enables Potent, On-Demand Non-Hormonal Female Contraception

Non-hormonal products for on-demand contraception are a global health technology gap, motivating us to pursue the use of sperm-binding monoclonal antibodies as a strategy to enable safe, effective, desirable, on-demand contraception. Here, using cGMP-compliant Nicotiana-expression system, we produce an ultra-potent sperm-binding IgG antibody possessing 6 Fab arms per molecule that bind a well-established contraceptive antigen target, CD52g. We term this hexavalent antibody "Fab-IgG-Fab" (FIF) to reflect its molecular orientation. The Nicotiana-produced FIF exhibits at least 10-fold greater sperm agglutination potency and kinetics than the parent IgG, while preserving Fc-mediated trapping of individual spermatozoa in mucus. We formulate the Nicotiana-produced FIF into a polyvinyl alcohol-based water-soluble contraceptive film, and evaluate its potency in reducing progressively motile sperm in the sheep vagina. Two minutes after vaginal instillation of human semen, no progressively motile sperm are recovered from the vaginas of sheep receiving FIF-Film. In contrast, high numbers of progressively motile sperm are recovered from sheep receiving a placebo film control. Our work supports the potential of highly multivalent contraceptive antibodies to provide safe, effective, on-demand non-hormonal contraception.

bioengineering↗

bioRxiv2020

Upper extremity exomuscle for shoulder abduction support

Assistive devices may aid motor recovery after a stroke, but access to such devices is limited. Exosuits can aid human movement and may be more accessible alternatives to current devices, but we know little about how they might assist post-stroke upper extremity movement. Here, we designed an exosuit actuator to support shoulder abduction, which we call an "exomuscle" and is based on a form of growing robot called a pneumatic-reel actuator. We also assembled a ceiling-mounted support for a positive control. We verified that both supports reduce the activity of shoulder abductor muscles and do not impede range of motion in healthy participants (n=4). Then, we measured reachable workspace area in stroke survivors (n=6) with both supports and without support. Our exomuscle increased workspace area in four participants (180{+/-}90 cm2) while the ceiling support increased workspace area in five participants (792{+/-}540 cm2). Design decisions that reduce exomuscle complexity, such as leaving the forearm free, likely contribute to performance differences between the two supports. Heterogeneity amongst stroke survivors abilities likely contribute to high variability in our results. Though both supports performed similarly for healthy participants, performance differences in stroke survivors highlight the need to validate assistive devices in the target population.

bioengineering↗

bioRxiv2019

Probability-based detection of phosphoproteomic uncertainty reveals rare signaling events driven by oncogenic kinase gene fusion

We describe a novel Bayesian method for estimating protein concentration and phosphorylation site occupancy ratios from mass spectrometry experiments. Our variance model assigns standard deviations to all quantitative ratios, even when only a single peptide is observed, increasing the number of quantifiable observations in a sample compared to conventional methods. We further demonstrate the application of this method using a dataset investigating the impact of the PRKAR1A-RET gene fusion in immortalized thyroid cells.

systems biology↗