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Garcia, J.

Publications and source records attributed to Garcia, J..

At least 55 records · Page 3Linked to original sources

Comparative pangenomic insights into the distinct evolution of virulence factors among grapevine trunk pathogens

The permanent organs of grapevines (V. vinifera L.), like other woody perennials, are colonized by various unrelated pathogenic ascomycete fungi secreting cell wall-degrading enzymes and phytotoxic secondary metabolites that contribute to host damage and disease symptoms. Trunk pathogens differ in the symptoms they induce and the extent and speed of damage. Isolates of the same species often display a wide virulence range, even within the same vineyard. This study focuses on Eutypa lata, Neofusicoccum parvum, and Phaeoacremonium minimum, causal agents of Eutypa dieback, Botryosphaeria dieback, and Esca, respectively. We sequenced fifty isolates from viticulture regions worldwide and built nucleotide-level, reference-free pangenomes for each species. Through examining genomic diversity and pangenome structure, we analyzed intraspecific conservation and variability of putative virulence factors, focusing on functions under positive selection, and recent gene-family dynamics of contraction and expansion. Our findings reveal contrasting distributions of putative virulence factors in the core, dispensable, and private genomes of each pangenome. For example, CAZymes were prevalent in the core genomes of each pangenome, whereas biosynthetic gene clusters were prevalent in the dispensable genomes of E. lata and P. minimum. The dispensable fractions were also enriched in Gypsy transposable elements and virulence factors under positive selection (polyketide synthases genes in E. lata and P. minimum glycosyltransferases in N. parvum). Our findings underscore the complexity of the genomic architecture in each species and provide insights into their adaptive strategies, enhancing our understanding of the underlying mechanisms of virulence.

genomics↗

Species composition determines bioplastics production in photosynthetic microbiomes: strategy to enrich cyanobacteria PHB-producers

The aim of this study was to set the operating mode in regards to nutrients, temperature and light to use as a strategy to enrich a microbiome rich in cyanobacteria in polyhidroxybutyrate (PHB)-producers in order to enhance this biopolymer production. Alternate growth and accumulation phases were conducted for 179 days in a 3 L photobioreactor. Although, presence of green microalgae potentially reduced PHB production, the microbiome produced up to 22 % dry cell weight (dcw) PHB. Results suggested that this methodology could be applied to a robust microbiome rich in cyanobacteria to boost PHB production.

bioengineering↗

New strategy for bioplastic and exopolysaccharides production: Enrichment of field microbiomes with cyanobacteria

Seven photosynthethic microbiomes were collected from field environmental samples to test their potential in polyhydroxybutirate (PHB) and exopolysaccharides (EPS) production, two alternatives to chemical-based polymers. Microscope observations together with microbial sequence analysis revealed the microbiome enrichment in cyanobacteria after culture growth under phosphorus limitation. PHB and EPS production were studied under three culture factors (phototrophy, mixotrophy and heterotrophy) by evaluating and optimizing the effect of three parameters (organic and inorganic carbon and days under light:dark cycles) by Box-Behnken design. Results showed that optimal conditions for both biopolymers synthesis were microbiome-dependent; however, the addition of organic carbon boosted PHB production in all the tested microbiomes, producing up to 14%dcw PHB with the addition of 1.2 g acetate{middle dot}L-1 and seven days under light:dark photoperiods. The highest EPS production was 59 mg{middle dot}L-1 with the addition of 1.2 g acetate{middle dot}L-1 and four days under light:dark photoperiods. The methodology used in this article is suitable for enriching microbiomes in cyanobacteria, and for testing the best conditions for bioproducts synthesis for further scale up.

bioengineering↗

Kinetic stabilization of translation-repression condensates by a neuron-specific microexon

The inclusion of microexons by alternative splicing is frequent in neuronal proteins. The roles of these sequences are in most cases unknown, but changes in their degree of inclusion are associated with neurodevelopmental diseases. We recently found that the decreased inclusion of a 24-nucleotide neuron-specific microexon in CPEB4, an RNA-binding protein that regulates translation through cytoplasmic changes in poly(A) tail length, is linked to idiopathic autism spectrum disorder (ASD). Why this microexon is required and how small changes in its degree of inclusion generate a dominant-negative effect on the expression of ASD-linked genes is not clear. Here we show that neuronal CPEB4 forms condensates that dissolve upon depolarization, a transition associated with a switch from translational repression to activation. Heterotypic intermolecular interactions between the microexon and a cluster of histidine residues kinetically stabilize the condensates by competing with homotypic interactions between clusters, that otherwise lead to the irreversible aggregation of CPEB4. We conclude that the microexon is required in neuronal CPEB4 to preserve the reversible regulation of CPEB4-mediated gene expression in response to neuronal stimulation.

biophysics↗

Direct visualization of emergent metastatic features within an ex vivo model of the tumor microenvironment

Metabolic conditions such as hypoxia, nutrient starvation, and media acidification, together with interactions with stromal cells are critical drivers of metastasis. Since these conditions arise deep within tumor tissues with poor access to the bloodstream, the observation of nascent metastases in vivo is exceedingly challenging. On the other hand, conventional cell culture studies cannot capture the complex nature of metastatic processes. We thus designed and implemented an ex vivo model of the tumor microenvironment to study the emergence of metastatic features in tumor cells in their native 3-dimensional (3D) context. In this system, named 3MIC, tumor cells spontaneously create ischemic-like conditions, and it allows the direct visualization of tumor-stroma interactions with high spatial and temporal resolution. We studied how 3D tumor spheroids evolve in the 3MIC when cultured under different metabolic environments and in the presence or absence of stromal cells. Consistent with previous experimental and clinical data, we show that ischemic environments increase cell migration and invasion. Importantly, the 3MIC allowed us to directly observe the emergence of these pro-metastatic features with single-cell resolution allowing us to track how changes in tumor motility were modulated by macrophages and endothelial cells. With these tools, we determined that the acidification of the extracellular media was more important than hypoxia in the induction of pro-metastatic tumor features. We also illustrate how the 3MIC can be used to test the effects of anti-metastatic drugs on cells experiencing different metabolic conditions. Overall, the 3MIC allows us to directly observe the emergence of metastatic tumor features in a physiologically relevant model of the tumor microenvironment. This simple and cost-effective system can dissect the complexity of the tumor microenvironment to test perturbations that may prevent tumors from becoming metastatic.

cancer biology↗

Self-assembly of cellular neighborhoods converts stochastic signaling into sustained olfactory neurogenesis

Olfactory neurogenesis occurs continuously throughout the lives of vertebrates, including in humans, and relies on the rapid, unceasing differentiation and integration of neurons into a complex multicellular network. The system-wide regulation of this intricate choreography is poorly understood; in particular, it is unclear how progenitor cells convert stochastic fluctuations in cell-cell signaling, over both space and time, into streamlined fate decisions. Here, we track single-cell level multicellular dynamics in the developing zebrafish olfactory epithelium, perturb signaling pathways with temporal specificity, and find that the continuous generation of neurons is driven by the spatially-restricted self-assembly of transient groups of progenitor cells, i.e. cellular neighborhoods. Stochastic modeling and validation of the underlying genetic circuit reveals that neighborhood self-assembly is driven by a tightly regulated bistable toggle switch between Notch signaling and the transcription factor Insulinoma-associated 1a that is responsive to inter-organ retinoic acid signaling. Newly differentiating neurons emerge from neighborhoods and, in response to brain-derived neurotrophic factor signaling, migrate across the olfactory epithelium to take up residence as apically-located, mature sensory neurons. After developmental olfactory neurogenesis is complete, inducing injury results in a robust expansion of neighborhoods, followed by neuroregeneration. Taken together, these findings provide new insights into how stochastic signaling networks spatially pattern and regulate a delicate balance between progenitors and their neuronal derivatives to drive sustained neurogenesis during both development and regeneration.

developmental biology↗

Androgen receptor condensates as drug targets

Transcription factors are among the most attractive therapeutic targets but are considered largely undruggable due to the intrinsically disordered nature of their activation domains. Here we show that the aromatic character of the activation domain of the androgen receptor, a therapeutic target for castration resistant prostate cancer, is key for its activity as a transcription factor by allowing it to partition into transcriptional condensates. Based on this knowledge we optimized the structure of a small molecule inhibitor, previously identified by phenotypic screening, that targets a specific transactivation unit within the domain that is partially folded and rich in aromatic residues. The optimized compounds had more affinity for their target, inhibited androgen receptor-dependent transcriptional programs, and had antitumorigenic effect in models of castration-resistant prostate cancer in cells and in vivo. These results establish a generalizable framework to target small molecules to the activation domains of oncogenic transcription factors and other disease-associated proteins with therapeutic intent.

biochemistry↗

A glutamine-based single α-helix scaffold to target globular proteins

The binding of intrinsically disordered proteins to globular ones often requires the folding of motifs into [a]-helices. These interactions offer opportunities for therapeutic intervention but their modulation with small molecules is challenging because they bury large surfaces. Linear peptides that display the residues that are key for binding can be targeted to globular proteins when they form stable helices, which in most cases requires their chemical modification. Here we present rules to design peptides that fold into single [a]-helices by instead concatenating glutamine side chain to main chain hydrogen bonds recently discovered in polyglutamine helices. The resulting peptides are uncharged, contain only natural amino acids, and their sequences can be optimized to interact with specific targets. Our results provide design rules to obtain single [a]-helices for a wide range of applications in protein engineering and drug design.

biophysics↗

Vitamin D deficiency increases prostatic megalin expression and globulin-bound testosterone import, increasing prostatic androgens in African American men

Vitamin D deficiency is associated with an increased risk of prostate cancer (PCa) mortality and is hypothesized to contribute to PCa aggressiveness and disparities in African American populations. The prostate epithelium was recently shown to express megalin, an endocytic receptor that internalizes globulin-bound hormones, which suggests regulation of prostate hormone levels, in contrast to the free hormone hypothesis. Here, we demonstrated that megalin imports testosterone bound to sex hormone-binding globulin into prostate cells. Prostatic loss of Lrp2 (megalin) in a mouse model resulted in reduced prostate testosterone and dihydrotestosterone (DHT) levels. Megalin expression was regulated and suppressed by 25-hydroxyvitamin D (25D) in cell lines, patient-derived prostate epithelial cells, and prostate tissue explants, indicating a negative feedback loop. In patent samples, the relationships between hormones support this feedback mechanism, as prostatic DHT levels are higher in African American men and are inversely correlated with serum 25D status. Megalin levels are reduced in localized PCa by the Gleason grade and in patients with future disease recurrence. Our findings suggest that the free hormone hypothesis should be revisited for testosterone and highlight the impact of vitamin D deficiency on prostate androgen levels, which are known drivers of PCa. Thus, we revealed a mechanistic link between vitamin D and PCa disparities observed in African Americans.

cancer biology↗

"Understanding Cortical Arousals during Sleep from Leg Movements: A Pilot Study."

Leg movements during sleep occur in patients with sleep pathology and healthy individuals. Some (but not all) leg movements during sleep are related to cortical arousals which occur without conscious awareness of the patient but have a significant effect of sleep fragmentation. Detecting leg movements during sleep that are associated with cortical arousals can provide unique insight into the nature and quality of sleep in both health and disease. In this study, a novel leg movement monitor is used in conjunction with polysomnography to better understand the relationship between leg movement and electroencephalogram (EEG) defined cortical arousals. In an approach that we call neuro-extremity analysis, graph theoretic, directed connectivity metrics are used to interrogate the causal links between neural activity measured by EEG and leg movements measured by the sensors within the leg movement monitor. The leg movement monitor in this study utilizes novel capacitive displacement sensors, and a 9-axis inertial measurement unit to characterize leg and foot movements. First, the capacitive displacement measures more closely related to EEG-defined cortical arousals than inertial measurements. Second, the neuro-extremity analysis reveals a temporally evolving connectivity pattern that is consistent with a model of cortical arousals in which brainstem dysfunction leads to near-instantaneous leg movements and a delayed, filtered signal to the cortex. Neuro-extremity analysis reveals causal relationships between EEG and leg movement sensor time-series data that may aid researchers to better understand the pathophysiology of cortical arousals associated with leg movements during sleep.

neuroscience↗

Strong and opponent contributions of dorsomedial striatal pathways to behavior depends on cognitive demands and task strategy

A classic view of the striatum holds that activity in direct and indirect pathways oppositely modulates motor output. Whether this involves direct control of movement, or reflects a cognitive process underlying movement, remains unresolved. Here we find that strong, opponent control of behavior by the two pathways of the dorsomedial striatum (DMS) depends on the cognitive requirements of a task. Furthermore, a latent state model (a hidden markov model with generalized linear model observations) reveals that--even within a single task--the contribution of the two pathways to behavior is state-dependent. Specifically, the two pathways have large contributions in one of two states associated with a strategy of evidence accumulation, compared to a state associated with a strategy of repeating previous choices. Thus, both the demands imposed by a task, as well as the internal state of mice when performing a task, determine whether DMS pathways provide strong and opponent control of behavior.

neuroscience↗

Pooled screening of CAR T cells identifies non-native signaling domains for next- generation immunotherapies

Chimeric antigen receptors (CARs) repurpose natural signaling components to retarget T cells to refractory cancers, but have shown limited efficacy against solid tumors. Here, we introduce CAR Pooling, a multiplexed approach to rapidly identify CAR designs with clinical potential. Forty CARs with diverse immune costimulatory domains were assessed in pooled assays for their ability to stimulate critical T cell effector functions during repetitive stimulation that mimics long-term tumor antigen exposure. Several non-native domains from the TNF receptor family exhibited enhanced proliferation (CD40) or cytotoxicity (BAFF-R and TACI) relative to clinical benchmarks, and fell into distinct states of memory, cytotoxicity, and metabolism. BAFF-R CAR T cells were enriched for a highly cytotoxic and NK-cell-like innate phenotype previously associated with positive clinical outcomes. CAR Pooling enables efficient exploration of how CAR design affects cell activity and can be applied to optimize receptors across a range of applications and cell types.

immunology↗

Neuronal activity drives pathway-specific depolarization of astrocyte distal processes

Astrocytes are glial cells that interact with neuronal synapses via their distal processes, where they remove glutamate and potassium (K+) from the extracellular space following neuronal activity. Astrocyte clearance of both glutamate and K+ is voltage-dependent, but astrocyte membrane potential (Vm) has been thought to be largely invariant. As a result, these voltage-dependencies have not been considered relevant to astrocyte function. Using genetically encoded voltage indicators enabling the measurement of Vm at distal astrocyte processes (DAPs), we report large, rapid, focal, and pathway-specific depolarizations in DAPs during neuronal activity. These activity-dependent astrocyte depolarizations are driven by action potential-mediated presynaptic K+ efflux and electrogenic glutamate transporters. We find that DAP depolarization inhibits astrocyte glutamate clearance during neuronal activity, enhancing neuronal activation by glutamate. This represents a novel class of sub-cellular astrocyte membrane dynamics and a new form of astrocyte-neuron interaction. One Sentence SummaryGenetically encoded voltage imaging of astrocytes shows that presynaptic neuronal activity drives focal astrocyte depolarization, contributing to activity-dependent inhibition of glutamate uptake.

neuroscience↗

Phylogenomics of plant-associated Botryosphaeriaceae species

The Botryosphaeriaceae is a fungal family that includes many destructive vascular pathogens of woody plants (e.g., Botryosphaeria dieback of grape, Panicle blight of pistachio). Species in the genera Botryosphaeria, Diplodia, Dothiorella, Lasiodiplodia, Neofusicoccum, and Neoscytalidium attack a range of horticultural crops, but they vary in virulence and in their abilities to infect their hosts via different infection courts (flowers, green shoots, woody twigs). Isolates of seventeen species, originating from symptomatic apricot, grape, pistachio, and walnut were tested for pathogenicity to grapevine wood after four months of incubation in potted plants in the greenhouse. Results revealed significant variation in virulence in terms of the length of the internal wood lesions caused by these seventeen species. Phylogenomic comparisons of the seventeen species of wood-colonizing fungi revealed clade-specific expansion of gene families representing putative virulence factors involved in toxin production and mobilization, wood degradation, and nutrient uptake. Statistical analyses of the evolution of the size of gene families revealed expansions of secondary metabolism and transporter gene families in Lasiodiplodia and of secreted cell wall degrading enzymes (CAZymes) in Botryosphaeria and Neofusicoccum genomes. In contrast, Diplodia, Dothiorella, and Neoscytalidium generally showed a contraction in the number of members of these gene families. Overall, species with expansions of gene families, such as secreted CAZymes, secondary metabolism, and transporters, were the most virulent (i.e., were associated with the largest lesions), based on our pathogenicity tests and published reports. This study represents the first comparative phylogenomic investigation into the evolution of possible virulence factors from diverse, cosmopolitan members of the Botryosphaeriaceae.

genomics↗

Variant pathogenic prediction by locus variability, the importance of the last picture of evolution.

Accurate pathogenic detection for single nucleotide variants (SNVs) is a key problem to perform variant ranking in whole exome sequencing studies. Several in silico tools have been developed to identify deleterious variants. Locus variability, computed as Shannon entropy from gnomAD/helixMTdb variant allele frequencies can be used as pathogenic variants predictor. In this study we evaluate the use of Shannon entropy in non-coding mitochondrial DNA and also in coding regions with an additional selective pressure other than that imposed by the genetic code, as are splice-sites. To benchmark this functionality in non-coding mitochondrial variants, Shannon entropy was compared with HmtVar disease score, outperforming it in non-coding SNVs (AUCH=0.99 in ROC curve and PR-AUCH=1.00 in Precision-recall curve). In the same way, for splice-sites variants, Shannon entropy was compared against two state-of-the-art ensemble predictors ada score and rf score, matching their overall performance both in ROC curves (AUCH=0.95) and Precision-recall curves (PR-AUC=0.97). Therefore, locus variability could aid in variant ranking process for these specific types of SNVs. Contactjlcabreraa@cnic.es; fscabo@cnic.es

bioinformatics↗

Quantifying the dynamics of viral recombination during free virus and cell-to-cell transmission in HIV-1 infection

Recombination has been shown to contribute to HIV-1 evolution in vivo, but the underlying dynamics are extremely complex, depending on the nature of the fitness landscapes and of epistatic interactions. A less well-studied determinant of recombinant evolution is the mode of virus transmission in the cell population. HIV-1 can spread by free virus transmission, resulting largely in singly infected cells, and also by direct cell-to-cell transmission, resulting in the simultaneous infection of cells with multiple viruses. We investigate the contribution of these two transmission pathways to recombinant evolution, by applying mathematical models to in vitro experimental data on the growth of fluorescent reporter viruses under static conditions (where both transmission pathways operate), and under gentle shaking conditions, where cell-to-cell transmission is largely inhibited. The parameterized mathematical models are then used to extrapolate the viral evolutionary dynamics beyond the experimental settings. Assuming a fixed basic reproductive ratio of the virus (independent of transmission pathway), we find that recombinant evolution is fastest if virus spread is driven only by cell-to-cell transmission, and slows down if both transmission pathways operate. Recombinant evolution is slowest if all virus spread occurs through free virus transmission. This is due to cell-to-cell transmission (i) increasing infection multiplicity, (ii) promoting the co-transmission of different virus strains from cell to cell, and (iii) increasing the rate at which point mutations are generated as a result of more reverse transcription events. This work further resulted in the estimation of various parameters that characterize these evolutionary processes. For example, we estimate that during cell-to-cell transmission, an average of 3 viruses successfully integrated into the target cell, which can significantly raise the infection multiplicity compared to free virus transmission. In general, our study points towards the importance of infection multiplicity and cell-to-cell transmission for HIV-evolution.

evolutionary biology↗

Lethality of SARS-CoV-2 infection in K18 human angiotensin converting enzyme 2 transgenic mice

ABSTRACTVaccine and antiviral development against SARS-CoV-2 infection or COVID-19 disease currently lacks a validated small animal model. Here, we show that transgenic mice expressing human angiotensin converting enzyme 2 (hACE2) by the human cytokeratin 18 promoter (K18 hACE2) represent a susceptible rodent model. K18 hACE2-transgenic mice succumbed to SARS-CoV-2 infection by day 6, with virus detected in lung airway epithelium and brain. K18 ACE2-transgenic mice produced a modest TH1/2/17 cytokine storm in the lung and spleen that peaked by day 2, and an extended chemokine storm that was detected in both lungs and brain. This chemokine storm was also detected in the brain at day 4. K18 hACE2-transgenic mice are, therefore, highly susceptible to SARS-CoV-2 infection and represent a suitable animal model for the study of viral pathogenesis, and for identification and characterization of vaccines (prophylactic) and antivirals (therapeutics) for SARS-CoV-2 infection and associated severe COVID-19 disease.

microbiology↗

Distinct Long-term Effects of Precision X-Radiation on Reflex Saliva Flow Rate and Tissue Integrity in a Preclinical Model of Chronic Hyposalivation

Chronic salivary hypofunction and xerostomia are common side effects of radiation therapy which is an essential component in the curative management in patients with head & neck cancers. Over the years, improvements in delivery techniques such as image-guided intensity modulated radiation therapy have led to improvement in cancer management but chronic hyposalivation continues to be a challenge that causes long-term health implications resulting in compromised quality of life. Recent advances in salivary stem cell research promise new frontier in the treatment of radiation-induced hyposalivation by initiating regeneration of radiation-damaged salivary parenchymal cells. Lack of a standard preclinical immunodeficient model to assess radiation-induced changes objectively and quantitatively in salivary flow rates will impede rapid progress towards the development of cellular therapies for chronic salivary dysfunction and attendant xerostomia. Herein, we report the first fully characterized novel cone-beam computed tomography (CBCT)-guided precision ionizing radiation (IR) induced chronic hyposalivation model in radiosensitive, immunodeficient transgenic NSG-SGM3 mice expressing three human cytokines including c-KIT ligand/stem cell factor. Additionally, we also report a novel and instantaneous method to objectively assess the kinetics of pilocarpine-stimulated salivary flowrate. Comprehensive structural and functional characterization of salivary glands revealed previously unknown and highly complex gender, age, IR dose and salivary gland subtype-specific effects of salivary-ablative precision IR.Competing Interest StatementThe authors have declared no competing interest.View Full Text

pathology↗