Biology subjects

Sullivan, G.

Publications and source records attributed to Sullivan, G..

10 recordsLinked to original sources

bioRxiv2025

Volitional Attention to Color: Breaking Willed Attention out of the Spatial Domain

Attention can be guided by either voluntary (top-down) or involuntary (bottom-up) influences. In real-world vision, voluntary attention can be directed by a wide range of influences such as reward, priming, meaning, experience, selection history, and volition. Laboratory studies of voluntary attention have commonly used attention-directing cues to induce or instruct human subjects to attend one class of stimuli while ignoring others. In recent years, free choice conditions of attention have been introduced, where self-generated volitional shifts of attention (willed attention) are possible (for a review, see Nadra & Mangun, 2023). Prior willed attention studies have focused on mechanisms of covert spatial attention, investigating the neurophysiological correlates of willed attention related to both post-decision processing, and the pre-decision brain activity patterns that predict participants free choices about where to attend. Much less work, however, has been done on willed non-spatial attention. In this study, in a fashion similar to prior willed spatial attention studies, we investigated willed attention to stimulus color. In a trial-by-trial cueing design, subjects were either cued what color to attend or were allowed to freely choose what color to attend, in order to subsequently discriminate visual features of the cued or willfully chosen target. Behavioral measures showed that the subjects were selectively attending the cued or willed color. Using support vector machine decoding on EEG alpha (8-12 Hz) signals, we found significant post-decision differences in alpha-band power and broadband EEG voltage when participants chose to attend to orange versus purple. However, in contrast to the findings in prior work on willed spatial attention, no pre-decision EEG signals could be identified that predicted which color participants would choose to attend to.

neuroscience↗

bioRxiv2022

Feature similarity gradients detect alterations in the neonatal cortex associated with preterm birth

The early life environment programmes cortical architecture and cognition across the life course. A measure of cortical organisation that integrates information from multi-modal MRI and is unbound by arbitrary parcellations has proven elusive, which hampers efforts to uncover the perinatal origins of cortical health. Here, we use the Vogt-Bailey index to provide a fine-grained description of regional homogeneities and sharp variations in cortical microstructure based on feature gradients, and we investigate the impact of being born preterm on cortical development. Preterm infants have a homogeneous microstructure in temporal and occipital lobes, and the medial parietal, cingulate, and frontal cortices, compared with term infants. These observations replicated across two independent datasets and were robust to differences that remain in the data after matching samples and alignment of processing and quality control strategies. We conclude that cortical microstructural architecture is altered in preterm infants in a spatially distributed rather than localised fashion.

neuroscience↗

bioRxiv2021

General factors of white matter microstructure from DTI and NODDI in the developing brain

Preterm birth is closely associated with diffuse white matter dysmaturation inferred from diffusion MRI and neurocognitive impairment in childhood. Diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) are distinct dMRI modalities, yet metrics derived from these two methods share variance across tracts. This raises the hypothesis that dimensionality reduction approaches may provide efficient whole-brain estimates of white matter microstructure that capture (dys)maturational processes. To investigate the optimal model for accurate classification of generalised white matter dysmaturation in preterm infants we assessed variation in DTI and NODDI metrics across 16 major white matter tracts using principal component analysis and structural equation modelling, in 79 term and 141 preterm infants at term equivalent age. We used logistic regression models to evaluate performances of single-metric and multimodality general factor frameworks for efficient classification of preterm infants based on variation in white matter microstructure. Single-metric general factors from DTI and NODDI capture substantial shared variance (41.8-72.5%) across 16 white matter tracts, and two multimodality factors captured 93.9% of variance shared between DTI and NODDI metrics themselves. General factors associate with preterm birth and a single model that includes all seven DTI and NODDI metrics provides the most accurate prediction of microstructural variations associated with preterm birth. This suggests that despite global covariance of dMRI metrics in neonates, each metric represents information about specific (and additive) aspects of the underlying microstructure that differ in preterm compared to term subjects. HighlightsO_LIWe measured variation of 7 DTI and NODDI metrics across 16 major tracts C_LIO_LIGeneral factors for DTI and NODDI capture substantial shared variance across tracts C_LIO_LIGeneral factors also capture substantial shared variance between DTI and NODDI C_LIO_LISingle-metric and multimodality factors associate with gestational age at birth C_LIO_LIThe best preterm prediction model contains all 7 single-metric g-factors C_LI

neuroscience↗

bioRxiv2021

Distinct mitochondrial remodeling during early cardiomyocyte development in a human-based stem cell model

Given the considerable interest in using stem cells for modelling and treating disease, it is essential to understand what regulates self-renewal and differentiation. Remodeling of mitochondria and metabolism, with the shift from glycolysis to oxidative phosphorylation (OXPHOS), play a fundamental role in maintaining pluripotency and stem cell fate. It has been suggested that metabolic switch from glycolysis to OXPHOS is germ-layer specific as during early ectoderm commitment, glycolysis remains active while during the transition to mesoderm and endoderm lineages, it is downregulated. How mitochondria adapt during these metabolic changes and whether mitochondria remodeling is tissue specific remains unclear. Here we address the question of mitochondrial adaption by examining the differentiation of human pluripotent stem cells to cardiac progenitors and further to functional cardiomyocytes. Contrary to recent findings in neuronal differentiation, we found that mitochondrial content decreases continuously during mesoderm differentiation, despite clear mitochondrial remodeling giving increased mitochondrial activity and higher levels of ATP-linked respiration. Thus, our work both highlights similarities in mitochondrial remodeling during the transition from pluripotent to multipotent state in ectodermal and mesodermal lineages, while at the same time demonstrating cell-lineage-specific adaptions upon further differentiation. Our results improve understanding of how mitochondria remodeling and the metabolism interact during differentiation and show that it is erroneous to assume that increased OXPHOS activity during differentiation requires a simultaneous expansion of mitochondrial content. Summary statementWe found that mitochondrial content decreases continuously during mesoderm differentiation, despite clear mitochondrial remodeling giving increased mitochondrial activity and higher levels of ATP-linked respiration during mesoderm differentiation.

cell biology↗

bioRxiv2020

Organoid-in-a-column coupled on-line with liquid chromatography-mass spectrometry

Organoids, i.e. laboratory-grown organ models developed from stem cells, are emerging tools for studying organ physiology, disease modeling and drug development. On-line analysis of organoids with mass spectrometry would provide analytical versatility and automation. To achieve these features with robust hardware, we have loaded liquid chromatography column housings with induced pluripotent stem cell (iPSC) derived liver organoids and coupled the "organ-in-a-column" units on-line with liquid chromatography-mass spectrometry (LC-MS). Liver organoids were co-loaded with glass beads to achieve an even distribution of organoids throughout the column while preventing clogging. The liver organoids were interrogated "on column" with heroin, followed by on-line monitoring of the drugs phase 1 metabolism. Enzymatic metabolism of heroin produced in the "organ-in-a-column" units was detected and monitored using a triple quadrupole MS instrument, serving as a proof-of-concept for on-line coupling of liver organoids and mass spectrometry. Taken together, the technology allows direct integration of liver organoids with LC-MS, allowing selective and automated tracking of drug metabolism over time.

bioengineering↗

bioRxiv2020

Maternal hair cortisol is associated with neonatal amygdala microstructure and connectivity in a sexually dimorphic manner

The mechanisms linking maternal stress in pregnancy with infant neurodevelopment in a sexually dimorphic manner are poorly understood. We tested the hypothesis that maternal hypothalamic-pituitary-adrenal axis activity, measured by hair cortisol concentration, is associated with microstructure, structural connectivity and volume of the infant amygdala. In 78 human mother-infant dyads, maternal hair was sampled postnatally, and infants underwent magnetic resonance imaging at term-equivalent age. Higher hair cortisol concentration was associated with higher left amygdala fractional anisotropy ({beta}=0.677, p=0.010), lower left amygdala orientation dispersion index ({beta}=-0.597, p=0.034), and higher fractional anisotropy in connections between the right amygdala and putamen ({beta}=0.475, p=0.007) in girls compared to boys. Maternal cortisol during pregnancy is related to newborn amygdala architecture and connectivity in a sexually dimorphic manner. Given the fundamental role of the amygdala in the emergence of emotion regulation, these findings offer new insights into mechanisms linking maternal stress with adverse neuropsychiatric outcomes of children. Impact StatementPrenatal stress is transmitted to infant development through cortisol, which imparts sex-specific effects on the development and connectivity of the amygdalae.

neuroscience↗

bioRxiv2020

Hierarchical complexity of the macro-scale neonatal brain

The human adult structural connectome has a rich nodal hierarchy, with highly diverse connectivity patterns aligned to the diverse range of functional specializations in the brain. The emergence of this hierarchical complexity in human development is unknown. Here, we substantiate the hierarchical tiers and hierarchical complexity of brain networks in the newborn period; assess correspondences with hierarchical complexity in adulthood; and investigate the effect of preterm birth, a leading cause of atypical brain development and later neurocognitive impairment, on hierarchical complexity. We report that neonatal and adult structural connectomes are both composed of distinct hierarchical tiers, and that hierarchical complexity is greater in term born neonates than in preterms. This is due to diversity of connectivity patterns of regions within the intermediate tiers, which consist of regions that underlie sensorimotor processing and its integration with cognitive information. For neonates and adults, the highest tier (hub regions) is ordered, rather than complex, with more homogeneous connectivity patterns in structural hubs. This suggests that the brain develops first a more rigid structure in hub regions allowing for the development of greater and more diverse functional specialization in lower level regions, while connectivity underpinning this diversity is dysmature in infants born preterm.

neuroscience↗

bioRxiv2019

Neonatal morphometric similarity mapping for predicting brain age and characterizing neuroanatomic variation associated with preterm birth

Multi-contrast MRI captures information about brain macro- and micro-structure which can be combined in an integrated model to obtain a detailed "fingerprint" of the anatomical properties of an individuals brain. Inter-regional similarities between features derived from structural and diffusion MRI, including regional volumes, diffusion tensor metrics, neurite orientation dispersion and density imaging measures, can be modelled as morphometric similarity networks (MSNs). Here, individual MSNs were derived from 105 neonates (59 preterm and 46 term) who were scanned between 38 and 45 weeks postmenstrual age (PMA). Inter-regional similarities were used as predictors in a regression model of age at the time of scanning and in a classification model to discriminate between preterm and term infant brains. When tested on unseen data, the regression model predicted PMA at scan with a mean absolute error of 0.70 {+/-} 0.56 weeks, and the classification model achieved 92% accuracy. We conclude that MSNs predict chronological brain age accurately; and they provide a data-driven approach to identify networks that characterise typical maturation and those that contribute most to neuroanatomic variation associated with preterm birth. HighlightsO_LIMultiple MRI features are integrated in a single model to study brain maturation in newborns. C_LIO_LIMorphometric similarity networks (MSNs) provide a whole-brain description of the structural properties of neonatal brain. C_LIO_LIThe information encoded in MSNs is predictive of chronological brain age in the perinatal period. C_LIO_LIMSNs provide a novel data-driven method for investigating neuroanatomic variation associated with preterm birth. C_LI

neuroscience↗

bioRxiv2019

Identification of novel mobilized colistin resistance gene mcr-9 in a multidrug-resistant, colistin-susceptible Salmonella enterica serotype Typhimurium isolate using a combination of high-throughput, in silico screening and functional analysis

Mobilized colistin resistance (mcr) genes are plasmid-borne genes that confer resistance to colistin, an antibiotic used to treat severe bacterial infections. To date, eight known mcr homologues have been described (mcr-1 to -8). Here, we describe mcr-9, a novel mcr homologue, detected in a Salmonella enterica serotype Typhimurium (S. Typhimurium) genome using an in silico approach, followed by experimental functional analysis. The amino acid sequence of mcr-9, detected in a multidrug resistant (MDR) S. Typhimurium strain isolated from a human patient in Washington State in 2010, most closely resembled mcr-3, aligning with 64.5% amino acid identity and 99.5% coverage using translated nucleotide blast. The S. Typhimurium strain was tested for phenotypic resistance to colistin and was found to be sensitive at the 2 mg/L European Committee on Antimicrobial Susceptibility Testing breakpoint under the tested conditions. To determine whether it was capable of conferring resistance to colistin when expressed in a heterologous host, mcr-9 was cloned in colistin-susceptible Escherichia coli NEB5 under an IPTG-induced promoter. Expression of mcr-9 conferred resistance to colistin in E. coli NEB5 at 1, 2, and 2.5 mg/L colistin, albeit at a lower level when compared to mcr-3. Pairwise comparisons of the predicted protein structures associated with all nine mcr homologues (Mcr-1 to -9) revealed that Mcr-9, Mcr-3, and Mcr-7 share a high degree of similarity at the structural level. The results of our approach indicate that mcr-9 is capable of conferring phenotypic resistance to colistin in Enterobacteriaceae and should be immediately considered when monitoring plasmid-mediated colistin resistance. Importance: Colistin is a last-resort antibiotic that is used to treat severe infections caused by MDR and extensively drug resistant (XDR) bacteria. The World Health Organization (WHO) has designated colistin as a Highest Priority Critically Important Antimicrobial for human medicine (WHO, Critically Important Antimicrobials for Human Medicine, 5th Revision, 2017), as it is often one of the only therapies available for treating serious bacterial infections in critically ill patients. Plasmid-borne mcr genes that confer resistance to colistin pose a threat to public health at an international scale, as they can be transmitted via horizontal gene transfer and have the potential to spread globally. Therefore, the establishment of a complete reference of mcr genes that can be used to screen for plasmid-mediated colistin resistance is essential for developing effective control strategies.

microbiology↗

bioRxiv2018

iTAP, a novel iRhom interactor, controls TNF secretion by policing the stability of iRhom/TACE

The apical inflammatory cytokine TNF regulates numerous important biological processes including inflammation and cell death, and drives inflammatory diseases. TNF secretion requires ADAM17/TACE, which cleaves TNF from its transmembrane tether, releasing it for signalling. The trafficking of ADAM17/TACE to the cell surface, and stimulation of its proteolytic activity, depends on membrane proteins, called iRhoms. To delineate how the TNF/TACE/iRhom axis is regulated, we performed an immunoprecipitation/mass spectrometry screen to identify iRhom-binding proteins. Here we report a novel protein, that we name iTAP (iRhom tail-associated protein) that binds to iRhoms, enhancing the stability of iRhoms and TACE, preventing their degradation in lysosomes. iTAP-null primary human macrophages, or tissues from iTAP KO mice, are dramatically depleted in the levels of iRhom2 and active TACE, and are, consequently, profoundly impaired in TNF production. Our work illustrates iTAP as a physiological rheostat controlling TNF signalling and a novel target for the control of inflammation.

biochemistry↗