Biology subjects

Francisco, A.

Publications and source records attributed to Francisco, A..

8 recordsLinked to original sources

bioRxiv2026

Coenzyme A is a redox sensing cofactor for malic enzyme 2 regulating oxidative stress and mitochondrial metabolism

Coenzyme A (CoA) is an essential cofactor required for numerous metabolic reactions, yet its ability to bind and regulate proteins remains poorly defined. Using a proteomic approach, we identified malic enzyme 2 (ME2) as a CoA-binding protein. ME2 uses NAD(P)+ to convert malate to pyruvate, generating NAD(P)H to support energy production and redox homeostasis. ME2 binds CoA at an allosteric site previously thought to bind NAD(P)+. Reduced CoA has minimal effect on ME2 activity, but the oxidized form, CoA disulfide, strongly activates ME2 by promoting ME2 tetramerization and a catalytically efficient closed conformation. Under oxidative stress, ME2 facilitates CoA disulfide formation, enhancing NADPH production and cellular defense against reactive oxygen species (ROS). Mice with ME2 mutation that cannot bind CoA show impaired muscle performance, elevated ROS, and mitochondrial dysfunction. These findings establish CoA as a redox-sensing cofactor, allowing cells to respond to ROS and promote mitochondrial metabolism, and expanding the function of this essential cofactor.

biochemistry↗

bioRxiv2026

The PMADS Project: A Longitudinal Multimodal Cohort Study to Understand Risk for Perinatal Mood and Anxiety Disorders

BackgroundPerinatal mood and anxiety disorders (PMADs) are among the most common and consequential complications of pregnancy. The perinatal period is also characterized by profound hormonal fluctuations and large-scale brain plasticity. However, the mechanisms linking these neurobiological changes to psychiatric risk are poorly understood. Prospective, clinically informed studies are needed to identify quantitative biomarkers and clarify pathways linking perinatal neurobiology to PMADs risk. MethodsThis report describes the design of a prospective, longitudinal cohort study integrating multimodal neuroimaging, biofluid sampling, and deep clinical phenotyping to enable precision characterization of neurobiological trajectories of PMADs risk. Twenty-five individuals at elevated risk for PMADs will be recruited prior to conception and followed across six in-person timepoints spanning the menstrual cycle, pregnancy, and early postpartum, with additional remote follow-ups through the first postpartum year. Data collection includes high-resolution structural MRI, functional brain mapping using multi-echo resting-state fMRI, diffusion MRI, arterial spin labeling, ultra-high field MR-based techniques for measuring glutamate (GluCEST and 1HMRS), biofluid sampling, and comprehensive clinical, behavioral, and cognitive assessments. Structured clinical interviews assess categorical diagnoses while dimensional symptom measures capture heterogeneity and transdiagnostic features of perinatal psychopathology. Longitudinal analyses will model nonlinear trajectories of brain and symptom change across the perinatal period as well as evaluate whether preconception network features and menstrual cycle-related brain changes are associated with subsequent perinatal symptom emergence. DiscussionThis cohort study establishes a longitudinal, multimodal framework for investigating neurobiological changes across the transition to pregnancy in individuals at elevated risk for PMADs. By anchoring pregnancy-related brain changes to preconception and menstrual cycle-related variability within the same individuals, this study is designed to evaluate associations between preconception hormone sensitivity, pregnancy-induced neuroplasticity, and PMADs risk. The resulting dataset will provide a deeply phenotyped longitudinal resource for investigating brain-behavior relationships across the perinatal period. Findings are expected to inform future larger-scale studies aimed at advancing mechanistic understanding of PMADs, improving individualized risk stratification, and supporting development of personalized preventive and neuromodulatory interventions.

neuroscience↗

bioRxiv2026

Microbial communities in Ornithodoros phacochoerus ticks: spatial structure and influence of African swine fever virus infectious status

AO_SCPLOWBSTRACTC_SCPLOWOrnithodoros phacochoerus are nidicolous soft ticks of the Ornithodoros moubata complex of species known to be vectors of the African swine fever (ASF) virus. These Ornithodoros ticks depend on endosymbionts to produce essential nutrients necessary for their development. However, endosymbionts are only a part of the complex microbiota hosted by the tick. This microbiota often includes primary or secondary endosymbionts, commensal species from the environment, and, most of the time, some pathogens. The present study was performed to understand the organization and spatial distribution of the microbiota of O. phacochoerus. One of the objectives was to investigate if the pathogen of interest (ASF virus) is involved in the organization of the microbiota through pathogen-induced dysbiosis or other interactions. For this purpose, 704 O. phacochoerus ticks were collected from two conservation areas in Mozambique. Sequencing was performed targeting the V3-V4 region of the 16S rRNA gene, and the resulting dataset was processed using FROGS to characterize the bacterial microbiota hosted by the ticks. The results indicate that the microbiota of Ornithodoros phacochoerus contains very low bacterial diversity, with one primary endosymbiont (Francisella-like endosymbiont), one potential secondary endosymbiont (Rickettsiella), and very few environmental or pathogenic bacterial species. We found a clear spatial structure of the microbiota, with ticks from the same sampling site showing similar patterns. On the contrary, no association with the infectious status for African swine fever virus was detected, suggesting that this pathogen does not shape Ornithodoros microbial communities. Our results on tick - microbiota - pathogen - environment interactions in nidicolous soft ticks, showed patterns that differ from most hard tick studies.

microbiology↗

bioRxiv2025

Population genetics of the nidicolous soft tick Ornithodoros phacochoerus in the context of African swine fever sylvatic cycle

Ticks of the species Ornithodoros phacochoerus are endophilic soft ticks which infest warthog burrows. Like other Ornithodoros of the O. moubata species complex, O. phacochoerus is a vector of the African swine fever virus and participates in the maintenance of the virus among warthogs in the sylvatic cycle in Southern and Eastern African countries. In this study, the population genetic structure of O. phacochoerus was investigated using sixteen microsatellite markers. After sampling campaigns that took place between 2020 and 2022, we analyzed 684 ticks from 21 warthog burrows and resting sites from Coutada 9 Game Reserve, Macossa District, Mozambique, and 138 ticks from 3 warthog burrows and resting sites from Gorongosa National Park, Gorongosa District, Mozambique. Burrows and resting sites are regularly used by the common warthog Phacochoerus africanus which is thought to be responsible for the movements of O. phacochoerus between sites. After genotyping, the observed genetic variation followed a model of isolation by distance with a structure at the level of the sampling sites (burrows and resting sites). Gorongosa National Park and Coutada 9 Game Reserve appeared to be completely isolated from each other in terms of gene flow, and Coutada 9 Game Reserve showed a clear signature of a bottleneck effect. Effective population sizes within sampling sites were quite low (4.1 individuals), with an estimated migration rate of 35% and a mean dispersal distance of 209 meters per tick generation. These results suggested frequent tick movements between burrows at a small geographic scale, due to warthog movements between the burrows. As both wildlife conservation areas are positive for African swine fever virus, these results reinforce the suspected role of the ticks in the sylvatic cycle of the virus, as infected ticks could be moved from one burrow to another, maintaining the presence of the virus in several sites of the conservation areas. This confirms the importance of maintaining buffer zones around conservation areas, buffer zones that should remain free of any domestic pigs to prevent vector spillover from the sylvatic cycle to the domestic cycle.

ecology↗

bioRxiv2024

Reproducible Sex Differences in Personalized Functional Network Topography in Youth

BackgroundA key step towards understanding psychiatric disorders that disproportionately impact female mental health is delineating the emergence of sex-specific patterns of brain organization at the critical transition from childhood to adolescence. Prior work suggests that individual differences in the spatial organization of functional brain networks across the cortex are associated with psychopathology and differ systematically by sex. AimsWe aimed to evaluate the impact of sex on the spatial organization of person-specific functional brain networks. MethodWe leveraged person-specific atlases of functional brain networks defined using non-negative matrix factorization in a sample of n = 6437 youths from the Adolescent Brain Cognitive Development Study. Across independent discovery and replication samples, we used generalized additive models to uncover associations between sex and the spatial layout ("topography") of personalized functional networks (PFNs). Next, we trained support vector machines to classify participants sex from multivariate patterns of PFN topography. Finally, we leveraged transcriptomic data from the Allen Human Brain Atlas to evaluate spatial correlations between sex differences in PFN topography and gene expression. ResultsSex differences in PFN topography were greatest in association networks including the fronto-parietal, ventral attention, and default mode networks. Machine learning models trained on participants PFNs were able to classify participant sex with high accuracy. Brain regions with the greatest sex differences in PFN topography were enriched in expression of X-linked genes as well as genes expressed in astrocytes and excitatory neurons. ConclusionsSex differences in PFN topography are robust, replicate across large-scale samples of youth, and are associated with expression patterns of X-linked genes. These results suggest a potential contributor to the female-biased risk in depressive and anxiety disorders that emerge at the transition from childhood to adolescence.

neuroscience↗

bioRxiv2023

IF1 controls UCP1-dependent mitochondrial bioenergetics in brown adipocytes

While mechanisms controlling mitochondrial uncoupling protein-1 (UCP1) expression and function in thermogenic adipocytes play a pivotal role in non-shivering thermogenesis (NST), it remains unclear whether F1Fo-ATP synthase function is regulated during NST. Here, we show that Inhibitory Factor 1 (IF1, encoded by Atp5if1), an inhibitor of ATP synthase hydrolytic activity, is a critical negative regulator of brown adipocyte energy metabolism. In mice, IF1 protein content is markedly diminished in brown adipose tissue (BAT) after 5 days of cold exposure. Additionally, the capacity of ATP synthase to generate mitochondrial membrane potential through ATP hydrolysis (the so-called "reverse mode" of ATP synthase) is higher in mitochondria isolated from cold- adapted mice compared to mice housed at room temperature. In vitro, IF1 overexpression results in an inability of mitochondria to sustain mitochondrial membrane potential upon adrenergic stimulation and this occurs in a UCP1-dependent manner. In brown adipocytes, IF1 silencing is sufficient to increase mitochondrial lipid oxidation and the cellular dependency on glycolysis to produce ATP. Conversely, IF1 overexpression blunts mitochondrial respiration without causing cellular energetic stress, leading to a quiescent-like phenotype in brown adipocytes. In mice, adeno-associated virus- mediated IF1 overexpression in BAT suppresses adrenergic-stimulated thermogenesis and decreases mitochondrial respiration in this tissue. Taken together, our data shows that the downregulation of IF1 upon cold serves to facilitate the reverse mode of ATP synthase to enable energetic adaptation and effectively support NST in BAT. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=85 SRC="FIGDIR/small/550888v2_ufig1.gif" ALT="Figure 1"> View larger version (37K): org.highwire.dtl.DTLVardef@16146faorg.highwire.dtl.DTLVardef@17afc1corg.highwire.dtl.DTLVardef@13da476org.highwire.dtl.DTLVardef@1f86fd3_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2021

Chemical, molecular, and single cell analysis reveal chondroitin sulfate proteoglycan aberrancy in fibrolamellar carcinoma

Fibrolamellar carcinoma (FLC) is an aggressive liver cancer with no effective therapeutic options. The extracellular environment of FLC tumors is poorly characterized and may contribute to cancer growth and/or metastasis. To bridge this knowledge gap, we assessed pathways relevant to proteoglycans, a major component of the extracellular matrix. We first analyzed gene expression data from FLC and non-malignant liver tissue (n=27) to identify changes in glycosaminoglycan (GAG) biosynthesis pathways and found that genes associated with production of chondroitin sulfate, but not other GAGs, are significantly increased by 8-fold. We then implemented a novel LC-MS/MS based method to quantify the abundance of different types of GAGs in patient tumors (n=16) and found that chondroitin sulfate is significantly more abundant in FLC tumors by 6-fold. Upon further analysis of GAG-associated proteins we found that versican (VCAN) expression is significantly up-regulated at the mRNA and protein levels, the latter of which was validated by immunohistochemistry. Finally, we performed single-cell assay for transposon-accessible chromatin-sequencing on FLC tumors (n=3), which revealed for the first time the different cell types in FLC tumors and also showed that VCAN is likely produced not only from FLC tumor epithelial cells but also activated stellate cells. Our results reveal a pathologic aberrancy in chondroitin (but not heparan) sulfate proteoglycans in FLC and highlight a potential role for activated stellate cells. SignificanceThis study leverages a multi-disciplinary approach, including state-of-the-art chemical analyses and cutting-edge single-cell genomic technologies, to identify for the first time a marked chondroitin sulfate aberrancy in fibrolamellar carcinoma (FLC) that could open novel therapeutic avenues in the future.

cancer biology↗

bioRxiv2017

An Experiment in Learning the Language of Sequence Motifs: Sequence Logos vs. Finite-State Machines

Position weight matrices (PWMs) are the standard way to model binding site affinities in bioinformatics. However, they assume that symbol occurrences are position independent and, hence, they do not take into account symbols co-occurrence at different sequence positions. To address this problem, we propose to construct finite-state machines (FSMs) instead. A modified version of the Evidence-Driven State Merging (EDSM) heuristic is used to reduce the number of states as FSMs grow too quickly as a function of the number of sequences to reveal any useful structure. We tested our approach on sequence data for the transcription factor HNF4 and found out that the constructed FSMs provide small representations and an intuitive visualization. Furthermore, the FSM was better than PWMs at discriminating the positive and negative sequences in our data set.

bioinformatics↗