Biology subjects

Murphy, M.

Publications and source records attributed to Murphy, M..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

A Multivalent Pan-Ebolavirus Nanoparticle Vaccine Provides Protection in Rodents from Lethal Infection by Adapted Zaire and Sudan Viruses

Both Zaire ebolavirus (EBOV) and Sudan ebolavirus (SUDV) are members of the family Filoviridae, first discovered in 1976 during outbreaks of hemorrhagic fever in northern Zaire and southern Sudan. Ebola virus disease outbreaks are major public health events because of their potential for human-to-human transmission with high case fatality rates. Filoviral surface glycoproteins (GPs) are known to be the primary targets of neutralizing antibodies for protection from disease, and are the relevant immunogens in the two approved EBOV vaccines. Here we describe the design, electron microscopy-based structural characterization, and efficacy testing of a series of icosahedral I53-50 nanoparticles displaying prefusion trimeric EBOV and SUDV GP antigens. Mice and guinea pigs vaccinated with either a cocktail of EBOV-GP-I53-50 plus SUDV-GP-I53-50 or mosaic EBOV / SUDV-GP-I53-50 nanoparticles were protected from death or severe clinical signs of disease and weight loss, respectively, when challenged with either mouse-adapted EBOV or guinea pig-adapted SUDV.

immunology↗

bioRxiv2025

Defining the cell and molecular origins of the primate ovarian reserve

The primate ovarian reserve is established during late fetal development and consists of quiescent primordial follicles in the ovarian cortex, each composed of granulosa cells surrounding an oocyte in dictate. As late stages of fetal development are not routinely accessible for study with human tissue, we exploited the evolutionary proximity of the rhesus macaque to investigate primate follicle formation. Similar to human prenatal ovaries, the rhesus also develops multiple types of pre-granulosa (PG) cells, with the majority of primordial follicles derived from PG2 with small variable contributions from PG1. We observed that activated medullary follicles recruit fetal theca cells to establish a two-cell system for sex-steroid hormone production prior to birth, providing a cell-based explanation for mini puberty.

developmental biology↗

bioRxiv2024

The adolescent frontal cortex shows stronger population-level encoding of information than the adult during a putative sensitive period

Adolescence is commonly claimed to be a sensitive period for brain development, but it is not clear how experience at this stage can have such strong impacts. We hypothesized that enhanced sensitivity to experience during adolescence may manifest as stronger encoding of task-related information in the dorsomedial prefrontal cortex (dmPFC). To enable optical access to task-related layer 2/3 neural activity in the developing mouse dmPFC, we imaged mice under a 2-photon microscope while they learned an auditory go/no-go task. We found adolescent mice (postnatal day P30-45) learned the task to criterion faster than adult mice (P60-75). When we compared neural activity in expert mice with comparable performance between the two age groups, we found that a similar fraction of single cells encoded task variables in the two groups. However, task information could be better decoded from the adolescent dmPFC population activity than the adult, even when we controlled for differences in head-fixed running. Adolescents also showed greater noise correlation than adults and shuffling to remove this noise correlation suggested noise correlation contributed to gain of function in adolescent compared to adult brain. We suggest a working model for adolescent brain function in which greater noise correlation supports greater capacity for distributed encoding of information driving, for better or for worse, increased sensitivity to experiences at this stage of life.

neuroscience↗

bioRxiv2024

Multi-omics identification of extracellular components of the fetal monkey and human neocortex.

During development, precursor cells are continuously and intimately interacting with their extracellular environment, which guides their ability to generate functional tissues and organs. Much is known about the development of the neocortex in mammals. This information has largely been derived from histological analyses, heterochronic cell transplants, and genetic manipulations in mice, and to a lesser extent from transcriptomic and histological analyses in humans. However, these approaches have not led to a characterization of the extracellular composition of the developing neocortex in any species. Here, using a combination of single-cell transcriptomic analyses from published datasets, and our proteomics and immunohistofluorescence analyses, we provide a more comprehensive and unbiased picture of the early developing fetal neocortex in humans and non-human primates. Our findings provide a starting point for further hypothesis-driven studies on structural and signaling components in the developing cortex that had previously not been identified.

neuroscience↗

bioRxiv2024

Regulation of alternative polyadenylation isoforms of Timp2 is an effector event of RAS signaling in cell transformation

Alternative polyadenylation (APA) generates mRNA isoforms with different lengths of the 3 untranslated region (3 UTR). The tissue inhibitor of metalloproteinase 2 (TIMP2) plays a key role in extracellular matrix remodeling under various developmental and disease conditions. Both human and mouse genes encoding TIMP2 contain two highly conserved 3UTR APA sites, leading to mRNA isoforms that differ substantially in 3UTR size. APA of Timp2 is one of the most significantly regulated events in multiple cell differentiation lineages. Here we show that Timp2 APA is highly regulated in transformation of NIH3T3 cells by the oncogene HRASG12V. Perturbations of isoform expression with long 3UTR isoform-specific knockdown or genomic removal of the alternative UTR (aUTR) region indicate that the long 3UTR isoform contributes to the secreted Timp2 protein much more than the short 3UTR isoform. The short and long 3UTR isoforms differ in subcellular localization to endoplasmic reticulum (ER). Strikingly, Timp2 aUTR enhances secreted protein expression but no effect on intracellular proteins in reporter assays. Furthermore, downregulation of Timp2 long isoform mitigates gene expression changes elicited by HRASG12V. Together, our data indicate that regulation of Timp2 protein expression through APA isoform changes is an integral part of RAS-mediated cell transformation and 3UTR isoforms of Timp2 can have distinct impacts on expression of secreted vs. intracellular proteins.

molecular biology↗

bioRxiv2024

Adiponectin restores cholinergic vasodilation in resistance vessels from adult offspring exposed to maternal obesity in utero

Maternal obesity increases the risk of cardiovascular and metabolic disease in the offspring both during childhood and adult life. Pregnant women and mice with obesity have lower circulating levels of adiponectin (ADN) compared to lean controls. ADN is an adipokine involved in regulating energy metabolism, vascular function, and placental function. We hypothesized that offspring of obese mice have impaired resistance artery function, which can be prevented by restoration of normal circulating ADN levels in obese dams during late pregnancy. Adult female mice were fed either control or obesogenic diet and mated with control diet-fed males. Control dams received a continuous infusion of phosphate saline buffer (PBS) during late pregnancy whereas obese females received either PBS or ADN. After weaning, offspring were fed a control diet. Mesenteric arteries (MsA) were dissected from adult offspring and mounted in a wire myograph or fixed for histology. MsA responses to vasoconstrictors (phenylephrine and endothelin-1) were not different between infusion groups. However, the vasodilatory responses to acetylcholine were reduced in offspring from obese dams as compared to control-fed dams. ADN supplementation during pregnancy restored the cholinergic vasodilatory responses of resistance vessels in offspring from obese dams. These observations suggest that normalizing circulating adiponectin levels in pregnancies complicated by obesity prevents in utero programming of vascular dysfunction in the offspring.

developmental biology↗

bioRxiv2024

A common phthalate replacement disrupts ovarian function in young adult mice

Di-2-ethylhexyl terephthalate (DEHTP) is a replacement for its structural isomer di-2-ethylhexyl phthalate (DEHP), a known endocrine disrupting chemical and ovarian toxicant. DEHTP is used as a plasticizer in polyvinyl chloride products and its metabolites are increasingly found in biomonitoring studies at levels similar to phthalates. However, little is known about the effects of DEHTP on the ovary. In this research, we tested the hypothesis that DEHTP is an ovarian toxicant and likely endocrine disrupting chemical like its isomer DEHP. The impact of environmentally relevant exposure to DEHTP and/or its metabolite mono-2-ethylhexyl terephthalate (MEHTP) on the mouse ovary was investigated in vivo and in vitro. For the in vivo studies, young adult CD-1 mice were orally dosed with vehicle, 10 {micro}g/kg, 100 {micro}g/kg, or 100 mg/kg of DEHTP for 10 days. For the in vitro studies, isolated untreated ovarian follicles were exposed to vehicle, 0.1, 1, 10, or 100 {micro}g/mL of DEHTP or MEHTP. Follicle counts, hormone levels, and gene expression of steroidogenic enzymes, cell cycle regulators, and apoptosis factors were analyzed. In vivo, DEHTP exposure increased primordial follicle counts at 100 {micro}g/kg and 100 mg/kg and decreased primary follicle counts at 100 mg/kg compared to control. DEHTP exposure also decreased expression of cell cycle regulators and apoptotic factors compared to control. In vitro, follicle growth was reduced by 1 {micro}g/mL DEHTP and 1, 10, and 100 {micro}g/mL MEHTP compared to controls, and expression of the cell cycle regulator Cdkn2b was increased. Steroid hormone levels and steroidogenic enzyme gene expression trended toward decreases in vivo, whereas progesterone was significantly increased by exposure to 100 {micro}g/mL MEHTP in vitro. Overall, these results suggest that DEHTP and MEHTP may be ovarian toxicants at low doses and should be subjected to further scrutiny for reproductive toxicity due to their similar structures to phthalates.

pharmacology and toxicology↗

bioRxiv2024

Depression in Parkinson's disease is associated with dopamine unresponsive reduced reward sensitivity during effort-based decision making

Willingness to exert effort for a given goal is dependent on the magnitude of the potential rewards and effort costs of an action. Such effort-based decision making is an essential component of motivation, in which the dopaminergic system plays a key role. Depression in Parkinsons disease (PD) is common, disabling and has poor outcomes. Motivational symptoms such as apathy and anhedonia, are prominent in PD depression and related to dopaminergic loss. We hypothesised that dopamine-dependent disruption in effort-based decision-making contributes to depression in PD. In the present study, an effort-based decision-making task was administered to 62 patients with PD, with and without depression, ON and OFF their dopaminergic medication across two sessions, as well as to 34 patients with depression and 29 matched controls on a single occasion. During the task, on each trial, participants decided whether to accept or reject offers of different levels of monetary reward in return for exerting varying levels of physical effort via grip force, measured using individually calibrated dynamometers. The primary outcome variable was choice (accept/decline offer), analysed using both logistic mixed-effects modelling and a computational model which dissected the individual contributions of reward and effort on depression and dopamine state in PD. We found PD depression was characterised by lower acceptance of offers, driven by markedly lower incentivisation by reward (reward sensitivity), compared to all other groups. Within-subjects analysis of the effect of dopamine medication revealed that, although dopamine treatment improves reward sensitivity in non-depressed PD patients, this therapeutic effect is not present in PD patients with depression. These findings suggest that disrupted effort-based decision-making, unresponsive to dopamine, contributes to PD depression. This highlights reward sensitivity as a key mechanism and treatment target for PD depression that potentially requires non-dopaminergic therapies.

neuroscience↗

bioRxiv2024

NAB2-STAT6 drives an EGR1-dependent neuroendocrine program in Solitary Fibrous Tumors

The pathogenesis of many rare tumor types is poorly understood, preventing the design of effective treatments. Solitary fibrous tumors (SFTs) are neoplasms of mesenchymal origin that affect 1/1,000,000 individuals every year and are clinically assimilated to soft tissue sarcomas. SFTs can arise throughout the body and are usually managed surgically. However, 30-40% of SFTs will relapse local-regionally or metastasize. There are no systemic therapies with durable activity for malignant SFTs to date. The molecular hallmark of SFTs is a gene fusion between the NAB2 and STAT6 loci on chromosome 12, resulting in a chimeric protein of poorly characterized function called NAB2-STAT6. We use primary samples and an inducible cell model to discover that NAB2-STAT6 operates as a transcriptional coactivator for a specific set of enhancers and promoters that are normally targeted by the EGR1 transcription factor. In physiological conditions, NAB2 is primarily localized to the cytoplasm and only a small nuclear fraction is available to operate as a co-activator of EGR1 targets. NAB2-STAT6 redirects NAB1, NAB2, and additional EGR1 to the nucleus and bolster the expression of neuronal EGR1 targets. The STAT6 moiety of the fusion protein is a major driver of its nuclear localization and further contributes to NAB2s co-activating abilities. In primary tumors, NAB2-STAT6 activates a neuroendocrine gene signature that sets it apart from most sarcomas. These discoveries provide new insight into the pathogenesis of SFTs and reveal new targets with therapeutic potential.

cancer biology↗

bioRxiv2024

Deep mutational scanning reveals functional constraints and antigenic variability of Lassa virus glycoprotein complex

Lassa virus is estimated to cause thousands of human deaths per year, primarily due to spillovers from its natural host, Mastomys rodents. Efforts to create vaccines and antibody therapeutics must account for the evolutionary variability of Lassa viruss glycoprotein complex (GPC), which mediates viral entry into cells and is the target of neutralizing antibodies. To map the evolutionary space accessible to GPC, we use pseudovirus deep mutational scanning to measure how nearly all GPC amino-acid mutations affect cell entry and antibody neutralization. Our experiments define functional constraints throughout GPC. We quantify how GPC mutations affect neutralization by a panel of monoclonal antibodies and show that all antibodies are escaped by mutations that exist among natural Lassa virus lineages. Overall, our work describes a biosafety-level-2 method to elucidate the mutational space accessible to GPC and shows how prospective characterization of antigenic variation could aid design of therapeutics and vaccines.

microbiology↗

bioRxiv2023

A spectrum of altered non-rapid eye movement sleep in schizophrenia

BackgroundMultiple facets of sleep neurophysiology, including electroencephalography (EEG) metrics such as non-rapid eye movement (NREM) spindles and slow oscillations (SO), are altered in individuals with schizophrenia (SCZ). However, beyond group-level analyses which treat all patients as a unitary set, the extent to which NREM deficits vary among patients is unclear, as are their relationships to other sources of heterogeneity including clinical factors, illness duration and ageing, cognitive profiles and medication regimens. Using newly collected high density sleep EEG data on 103 individuals with SCZ and 68 controls, we first sought to replicate our previously reported (Kozhemiako et. al, 2022) group-level mean differences between patients and controls (original N=130). Then in the combined sample (N=301 including 175 patients), we characterized patient-to-patient variability in NREM neurophysiology. ResultsWe replicated all group-level mean differences and confirmed the high accuracy of our predictive model (Area Under the ROC Curve, AUC = 0.93 for diagnosis). Compared to controls, patients showed significantly increased between-individual variability across many (26%) sleep metrics, with patterns only partially recapitulating those for group-level mean differences. Although multiple clinical and cognitive factors were associated with NREM metrics including spindle density, collectively they did not account for much of the general increase in patient-to-patient variability. Medication regimen was a greater (albeit still partial) contributor to variability, although original group mean differences persisted after controlling for medications. Some sleep metrics including fast spindle density showed exaggerated age-related effects in SCZ, and patients exhibited older predicted biological ages based on an independent model of ageing and the sleep EEG. ConclusionWe demonstrated robust and replicable alterations in sleep neurophysiology in individuals with SCZ and highlighted distinct patterns of effects contrasting between-group means versus within-group variances. We further documented and controlled for a major effect of medication use, and pointed to greater age-related change in NREM sleep in patients. That increased NREM heterogeneity was not explained by standard clinical or cognitive patient assessments suggests the sleep EEG provides novel, nonredundant information to support the goals of personalized medicine. Collectively, our results point to a spectrum of NREM sleep deficits among SCZ patients that can be measured objectively and at scale, and that may offer a unique window on the etiological and genetic diversity that underlies SCZ risk, treatment response and prognosis.

neuroscience↗

bioRxiv2023

Loss of Endothelial TDP-43 Leads to Blood Brain Barrier Defects in Mouse Models of Amyotrophic Lateral Sclerosis and Frontotemporal Dementia.

Loss of nuclear TDP-43 occurs in a wide range of neurodegenerative diseases, and specific mutations in the TARDBP gene that encodes the protein are linked to familial Frontal Temporal Lobar Dementia (FTD), and Amyotrophic Lateral Sclerosis (ALS). Although the focus has been on neuronal cell dysfunction caused by TDP-43 variants, TARDBP mRNA transcripts are expressed at similar levels in brain endothelial cells (ECs). Since increased permeability across the blood brain barrier (BBB) precedes cognitive decline, we postulated that altered functions of TDP-43 in ECs contributes to BBB dysfunction in neurodegenerative disease. To test this hypothesis, we examined EC function and BBB properties in mice with either knock-in mutations found in ALS/FTLD patients (TARDBPG348C and GRNR493X) or EC-specific deletion of TDP-43 throughout the endothelium (Cdh5(PAC)CreERT2; Tardbpff) or restricted to brain endothelium (Slco1c1(BAC)CreERT2; Tardbpff). We found that TARDBPG348Cmice exhibited increased permeability to 3kDa Texas Red dextran and NHS-biotin, relative to their littermate controls, which could be recapitulated in cultured brain ECs from these mice. Nuclear levels of TDP-43 were reducedin vitro and in vivo in ECs from TARDBPG348Cmice. This coincided with a reduction in junctional proteins VE-cadherin, claudin-5 and ZO-1 in isolated ECs, supporting a cell autonomous effect on barrier function through a loss of nuclear TDP-43. We further examined two models of Tardbp deletion in ECs, and found that the loss of TDP-43 throughout the endothelium led to systemic endothelial activation and permeability. Deletion specifically within the brain endothelium acutely increased BBB permeability, and eventually led to hallmarks of FTD, including fibrin deposition, microglial and astrocyte activation, and behavioral defects. Together, these data show that TDP-43 dysfunction specifically within brain ECs would contribute to the BBB defects observed early in the progression of ALS/FTLD.

neuroscience↗

bioRxiv2023

Protein thiol alterations drive aberrant phase separation in aging

Cellular homeostasis relies on precise regulation through chemical processes, such as protein posttranslational modifications (PTM) and physical processes, such as biomolecular condensation. Aging disrupts this balance, increasing susceptibility to diseases and death. However, the mechanisms behind age-related pathogenesis remain elusive. In this study, we dissected various cysteine PTMs and their impact on protein-mediated biomolecular condensation in aging brain. Our findings reveal that aging is associated with significant remodeling of cysteine PTMs, which impacts protein ability to participate in liquid-liquid phase separation (LLPS). Specifically, aging leads to an increase in protein sulfenylation and sulfonylation, which promotes LLPS and through conformational change increases the propensity of proteins to aggregate. Protein persulfidation, a protective thiol modification, prevents this by causing condensate dissolution. We demonstrate that age-induced alterations in cysteine PTMs influence the LLPS properties of synapsin-1 and G3BP2, resulting in disruptions in neurotransmitter release and stress granule formation, respectively. Additionally, our study uncovers that GAPDH is susceptible to LLPS and cysteine sulfonylation exacerbates its transition from condensates to aggregates. Mice deficient in cystathionine gamma-lyase, a pro-longevity gene that regulates intracellular persulfide levels, exhibit a shorter lifespan and spontaneous development of neurofibrillary tangles.

biochemistry↗

bioRxiv2023

MOIRE: A software package for the estimation of allele frequenciesand effective multiplicity of infection from polyallelic data

MotivationMalaria parasite genetic data can provide insight into parasite phenotypes, evolution, and transmission. However, estimating key parameters such as allele frequencies, multiplicity of infection (MOI), and within-host relatedness from genetic data is challenging, particularly in the presence of multiple related coinfecting strains. Existing methods often rely on single nucleotide polymorphism (SNP) data and do not account for within-host relatedness. ResultsWe present MOIRE (Multiplicity Of Infection and allele frequency REcovery), a Bayesian approach to estimate allele frequencies, MOI, and within-host relatedness from genetic data subject to experimental error. MOIRE accommodates both polyallelic and SNP data, making it applicable to diverse genotyping panels. We also introduce a novel metric, the effective MOI (eMOI), which integrates MOI and within-host relatedness, providing a robust and interpretable measure of genetic diversity. Extensive simulations and real-world data from a malaria study in Namibia demonstrate the superior performance of MOIRE over naive estimation methods, accurately estimating MOI up to 7 with moderate sized panels of diverse loci (e.g. microhaplotypes). MOIRE also revealed substantial heterogeneity in population mean MOI and mean relatedness across health districts in Namibia, suggesting detectable differences in transmission dynamics. Notably, eMOI emerges as a portable metric of within-host diversity, facilitating meaningful comparisons across settings when allele frequencies or genotyping panels differ. Compared to existing software, MOIRE enables more comprehensive insights into within-host diversity and population structure. AvailabilityMOIRE is available as an R package at https://eppicenter.github.io/moire/. Contactmm@maxmurphy.dev Supplementary informationSupplementary data are available at Bioinformatics online.

genetics↗

bioRxiv2023

Dissecting components of the Campylobacter jejuni fetMP-fetABCDEF gene cluster in iron scavenging

Campylobacter jejuni is a leading cause of bacterial gastroenteritis worldwide. Acute infection can be antecedent to highly debilitating long-term sequelae. Expression of iron acquisition systems is vital for C. jejuni to survive the low iron availability within the human gut. The C. jejuni fetMP-fetABCDEF gene cluster is known to be upregulated during human infection and under iron limitation. While FetM and FetP have been functionally linked to iron transport in prior work, here we assess the contribution by each of the downstream genes (fetABCDEF) to C. jejuni growth during both iron-depleted and iron-replete conditions. Significant growth impairment was observed upon disruption of fetA, fetB, fetC, and fetD, suggesting a role in iron acquisition for each encoded protein. FetA expression was modulated by iron-availability but not dependent on the presence of FetB, FetC, FetD, FetE or FetF. Functions of the putative thioredoxins FetE and FetF were redundant in iron scavenging, requiring a double deletion ({Delta}fetEF) to exhibit a growth defect. C. jejuni FetE was expressed and the structure solved to 1.50 [A], revealing structural similarity to thiol-disulfide oxidases. Functional characterization in biochemical assays showed that FetE reduced insulin at a slower rate than E. coli Trx and that together, FetEF promoted substrate oxidation in cell extracts, suggesting that FetE (and presumably FetF) are oxidoreductases that can mediate oxidation in vivo. This study advances our understanding of the contributions by the fetMP-fetABCDEF gene cluster to virulence at a genetic and functional level, providing foundational knowledge towards mitigating C. jejuni-related morbidity and mortality.

microbiology↗

bioRxiv2023

Antigen spacing on protein nanoparticles influences antibody responses to vaccination

Immunogen design approaches aim to control the specificity and quality of antibody responses to enable the creation of next-generation vaccines with improved potency and breadth. However, our understanding of the relationship between immunogen structure and immunogenicity is limited. Here we use computational protein design to generate a self-assembling nanoparticle vaccine platform based on the head domain of influenza hemagglutinin (HA) that enables precise control of antigen conformation, flexibility, and spacing on the nanoparticle exterior. Domain-based HA head antigens were presented either as monomers or in a native-like closed trimeric conformation that prevents exposure of trimer interface epitopes. These antigens were connected to the underlying nanoparticle by a rigid linker that was modularly extended to precisely control antigen spacing. We found that nanoparticle immunogens with decreased spacing between closed trimeric head antigens elicited antibodies with improved hemagglutination inhibition (HAI) and neutralization potency as well as binding breadth across diverse HAs within a subtype. Our "trihead" nanoparticle immunogen platform thus enables new insights into anti-HA immunity, establishes antigen spacing as an important parameter in structure-based vaccine design, and embodies several design features that could be used to generate next-generation vaccines against influenza and other viruses. HIGHLIGHTSO_LIComputational design of a closed trimeric HA head ("trihead") antigen platform. C_LIO_LIDesign of a rigid, extendable linker between displayed antigen and underlying protein nanoparticle enables precise variation of antigen spacing. C_LIO_LIDecreased antigen spacing of triheads elicits antibodies with the highest HAI, neutralizing activity, and cross-reactivity. C_LIO_LIChanges to antigen spacing alter epitope specificities of vaccine-elicited antibodies. C_LI

immunology↗

bioRxiv2022

A novel model of multicellular communication through extracellular matrix microstructure

Extracellular matrix (ECM) is a key component of the cellular microenvironment and critical in multiple disease and developmental processes. Representing ECM and cell-ECM interactions is a challenging multiscale problem as they span molecular-level details to tissue-level dynamics. While several computational frameworks exist for ECM modeling, they often focus on very detailed modeling of individual ECM fibers or represent only a single aspect of the ECM. Using the PhysiCell agent-based modeling platform, we developed a framework of intermediate detail with the ability to capture bidirectional cell-ECM interactions. We represent a small region of ECM, an ECM element, with three variables describing its local microstructure: anisotropy, density, and overall fiber orientation. To spatially model the ECM, we use an array of ECM elements. Cells remodel local ECM microstructure and in turn, local microstructure impacts cellular motility. We demonstrate the utility of this framework and reusability of its core cell-ECM interaction model through examples in cellular invasion, wound healing, basement membrane degradation, and leader-follower collective migration. Despite the relative simplicity of the framework, it is able to capture a broad range of cell-ECM interactions of interest to the modeling community. Furthermore, variables representing the ECM microstructure are accessible through simple programming interfaces. This allows them to impact cell behaviors, such as proliferation and death, without requiring custom code for each interaction, particularly through PhysiCells modeling grammar, enabling rapid modeling of a diverse range of cell-matrix biology. We make this framework available as a free and open source software package at https://github.com/PhysiCell-Models/collective-invasion.

systems biology↗

bioRxiv2022

Bias in group-level EEG microstate analysis

Microstate analysis is a promising technique for analyzing high-density electroencephalographic data, but there are multiple questions about methodological best practices. Between and within individuals, microstates can differ both in terms of characteristic topographies and temporal dynamics, which leads to analytic challenges as the measurement of microstate dynamics is dependent on assumptions about their topographies. Here we focus on the analysis of group differences, using simulations seeded on real data from healthy control subjects to compare approaches that derive separate sets of maps within subgroups versus a single set of maps applied uniformly to the entire dataset. In the absence of true group differences in either microstate maps or temporal metrics, we found that using separate subgroup maps resulted in substantially inflated type I error rates. On the other hand, when groups truly differed in their microstate maps, analyses based on a single set of maps confounded topographic effects with differences in other derived metrics. We propose an approach to alleviate both classes of bias, based on a paired analysis of all subgroup maps. We illustrate the qualitative and quantitative impact of these issues in real data by comparing waking versus non-rapid eye movement sleep microstates. Overall, our results suggest that even subtle chance differences in microstate topography can have profound effects on derived microstate metrics and that future studies using microstate analysis should take steps to mitigate this large source of error.

neuroscience↗