Biology subjects

Garcia, H.

Publications and source records attributed to Garcia, H..

12 recordsLinked to original sources

bioRxiv2026

Boldine inhibits SARM1 NADase Activity and Preserves Axonal Integrity After Nerve Injury

Wallerian degeneration of anucleated axonal segments is driven by SARM1, which depletes axonal NAD+, disrupting energy metabolism and triggering self-destruction. SARM1 inhibition is an emerging therapeutic target for traumatic nerve injuries. Boldine, a natural aporphine alkaloid from Peumus boldus, modulates connexin hemichannels, oxidative stress, and inflammation. Building on our published work showing boldines neuroprotective effects in nerve injury models, we hypothesized that boldine also inhibits SARM1 directly. A fluorescence polarization assay revealed that boldine inhibits SARM1 NADase activity with an IC50 of approximately 7.5 uM. AI-assisted structural modeling (AlphaFold3-based Boltz-1 with GNINA docking) predicted two boldine binding sites on SARM1: the TIR catalytic site (Kd [~] 13.5 uM) and the ARM-TIR regulatory interface (Kd [~] 12 uM). In a sciatic nerve explant model, boldine preserved the integrity of anucleated axonal segments at 3 and 7 days post-transection relative to vehicle controls. These findings suggest boldine may act as a dual-site SARM1 inhibitor and support its development as a neuroprotective therapy after traumatic axonal injury.

neuroscience↗

bioRxiv2026

Oncogene-driven metabolic regulation of Dihydroceramide Desaturase 1 (DES1) converges on GAPDH in matrix-detached conditions

Deregulation of sphingolipid (SL) metabolism is well-established across many cancers, yet the underlying mechanisms that drive changes in SLs are poorly understood. We previously identified dihydroceramide desaturase 1 (DES1) as a downstream target of HER2 and implicated DES1 as a driver of anchorage-independent survival in breast cancer. In this study, we expand on these results to establish the oncogenic PI3K pathway as a driver of post-translational DES1 activity following cell detachment from the extracellular matrix. PI3K activation of DES1 required glucose uptake and metabolism through both glycolysis and the pentose phosphate pathway. However, it did not require glucose flux into the TCA cycle and was independent of antioxidant capacity of the cell. Moreover, Instead, results identify GAPDH - a point of convergence between glycolysis and PPP - as important for oncogene-driven DES1 activity. Overall, this study defines a novel pathway of DES1 regulation and establishes DES1 as a point of crosstalk between glucose and SL metabolic pathways.

Cancer Biology↗

bioRxiv2026

Informational blueprints reveal condition-dependent gene regulatory architectures

While coding regions in the genome have a direct interpretation in terms of protein products, significant fractions are non-coding and yet control essential biological functions. Unlike the genetic code, there is no "lookup table" that identifies where regulatory proteins, known as transcription factors (TFs), bind. Here, we extract these binding sites by distilling sequences of nucleotide letters into collective coordinates (hyperletters) representing the binding sites that are active under specific environmental conditions. Going beyond local information footprints between individual bases and expression levels, our information blueprint algorithm compresses the global information by optimising filters that simultaneously scan an entire promoter sequence. Inspired by renormalisation-group techniques, we identify TF binding sites as coarse-grained variables combining groups of correlated mutations with the highest collective impact on gene expression. We validate our approach on experimental data for E. coli and discover novel regulatory elements illustrating its deployment at scale across growth conditions.

genomics↗

bioRxiv2025

TMPO promotes cellular dissemination and metastasis in circulating tumor cells

Metastasis--the process by which cancer cells spread beyond the primary tumor to distant organs--accounts for the vast majority of cancer-related deaths. To elucidate mechanisms underlying dissemination and metastasis in prostate cancer, we have investigated circulating tumor cells (CTCs) obtained from genetically engineered mouse models (GEMMs). The phenotypic and molecular properties of the CTCs, and organoids derived from these CTCs, closely model the tumor and metastatic phenotypes of their parental GEMMs. Moreover, organoids derived from individual CTCs exhibit molecular and morphological heterogeneity that is associated with distinct metabolic states as well as differences in human prostate cancer outcome. Using computational systems analyses, we have identified TMPO, encoding the nuclear membrane protein lamina-associated polypeptide 2 (Lap2), as a key driver of this heterogeneity. TMPO activity is upregulated in advanced human prostate tumors, metastases, and CTCs, and is associated with adverse clinical outcome. Our findings indicate that TMPO promotes dissemination and metastasis in vivo by enhancing survival in conditions of metabolic stress, and reveal a novel mechanistic link between CTC heterogeneity, stress adaptation, and metastatic potential.

cell biology↗

bioRxiv2025

A model of transcriptional bursting dynamics based on coupling between chromatin and enhancer states

In recent years, it has become evident that transcription is not always a continuous process. Rather, many genes exhibit bursting behavior characterized by discrete periods of transcriptional activity and inactivity. While transcriptional bursting has been broadly observed across different organisms, from bacteria to mammals, we lack a mechanistic understanding of the molecular events that regulate this widespread process. Specifically, how the expression of a bursty gene is quantitatively determined by different molecular factors such as the concentration of transcription factors (TF) and architecture of the enhancers is not well understood. Here, we introduce a model based on the interplay between chromatin state and TF binding in order to describe bursting dynamics. We leverage the widespread Monod-Wyman-Changeux two-state model to predict the dependence of transcriptional bursting dynamics on TF concentration, binding affinity, and number of TF binding sites. We use the model to qualitatively reproduce the behavior of bursting dynamics observed in the C. elegans gonad. Overall, we provide a tractable model for transcriptional bursting that offers mechanistic insights into the factors regulating transcriptional bursting and generates experimentally testable predictions capable of uncovering the molecular basis of this widespread process.

biophysics↗

bioRxiv2025

A machine-learning-guided hydrogen-bonded organic framework for long-term, ultrasound-triggered pain therapy

Effective treatment of chronic pain remains hindered by the lack of drug delivery systems that simultaneously achieve long-term stability, high spatial precision, and non-invasiveness1,2,3. Here, we utilize a programmable, ultrasound-responsive drug delivery platform based on hydrogen-bonded organic framework (HOF) nanoparticles, enabling on-demand anesthetic release with long-term and durable analgesic efficacy. A machine learning (ML)-guided screening pipeline was developed to evaluate about 250 FDA-approved drugs, spanning both hydrophilic and lipophilic agents, and identified bupivacaine (lipophilic) and lidocaine hydrochloride (hydrophilic) as optimal candidates. These agents were efficiently encapsulated into HOF nanoparticles via diffusion and double-solvent methods. Ultrasound-triggered drug release in vitro transiently suppressed calcium signaling in adeno-associated virus (AAV)-transfected neurons. In vivo, ultrasound-activated release of bupivacaine or lidocaine HCl at the sciatic nerve site significantly elevated mechanical nociceptive thresholds for up to seven days, reduced autotomy (self-mutilaion) behavior, and improved motor function in a rat model of chronic pain. Notably, the machine learning-identified top candidates not only exhibited high loading efficiency, but also demonstrated superior therapeutic outcomes in vivo, establishing a direct link between computational prediction and biological efficacy. This non-invasive, programmable HOF-based system provides a clinically translatable platform for on-demand, spatiotemporally precise pain management.

bioengineering↗

bioRxiv2025

Novel Fluorescent and Photoconvertible Fusions Reveal Dorsal Activator Dynamics

Over the last two decades, new in vivo and in cellulo imaging technologies have uncovered the inherently dynamic nature of transcriptional regulation in embryonic development and, in particular, in the fruit fly D. melanogaster. These technologies have made it possible to characterize the subnuclear and single-molecule dynamics of transcription factors. However, a lack of appropriate fluorescent protein fusions has, until now, limited these studies to only a few of the dozens of important transcription factors in the fruit fly gene regulatory network dictating early development. Here, we report the creation of four new fluorescent protein fusions to Dorsal, a member of the NF-{kappa}B/Rel family that initiates dorsal-ventral patterning. We generated and characterized two bright fluorescent protein fusions for Dorsal, meGFP and mNeonGreen, and two photoconvertible fluorescent protein fusions, mEos4a and Dendra2. We show that removal of the DsRed2 cassette commonly used to mark the CRISPR integration restores endogenous Dorsal mRNA and protein levels and enables the fusion allele to rescue a dorsal null allele, meeting the gold standard for endogenous function of a tagged protein in a fruit fly. We then demonstrate that our bright fluorescent protein fusions can be used to dissect the spatiotemporal dynamics of stable Dorsal clusters that traverse the nucleoplasm and uncovered that these clusters preferentially interact with active sites of Dorsal-modulated transcription. We further demonstrate that our photoconvertible fluorescent protein fusions make it possible to detect individual molecules of Dorsal in the nuclei of developing embryos. These new fluorescent protein fusions constitute a valuable resource for the community to elucidate the role of Dorsal activator dynamics in dictating fruit fly early embryonic development.

developmental biology↗

bioRxiv2024

Predictive Modeling of Gene Expression and Localization of DNA Binding Site Using Deep Convolutional Neural Networks

Despite the sequencing revolution, large swaths of the genomes sequenced to date lack any information about the arrangement of transcription factor binding sites on regulatory DNA. Massively Parallel Reporter Assays (MPRAs) have the potential to dramatically accelerate our genomic annotations by making it possible to measure the gene expression levels driven by thousands of mutational variants of a regulatory region. However, the interpretation of such data often assumes that each base pair in a regulatory sequence contributes independently to gene expression. To enable the analysis of this data in a manner that accounts for possible correlations between distant bases along a regulatory sequence, we developed the Deep learning Adaptable Regulatory Sequence Identifier (DARSI). This convolutional neural network leverages MPRA data to predict gene expression levels directly from raw regulatory DNA sequences. By harnessing this predictive capacity, DARSI systematically identifies transcription factor binding sites within regulatory regions at single-base pair resolution. To validate its predictions, we benchmarked DARSI against curated databases, confirming its accuracy in predicting transcription factor binding sites. Additionally, DARSI predicted novel unmapped binding sites, paving the way for future experimental efforts to confirm the existence of these binding sites and to identify the transcription factors that target those sites. Thus, by automating and improving the annotation of regulatory regions, DARSI generates experimentally actionable predictions that can feed iterations of the theory-experiment cycle aimed at reaching a predictive understanding of transcriptional control.

biophysics↗

bioRxiv2022

Prostaglandin E1 as therapeutic molecule for Nephronophthisis and related ciliopathies

Nephronophthisis (NPH) is an autosomal recessive tubulointerstitial nephropathy belonging to the ciliopathy disorders and known as the most common cause of hereditary end-stage renal disease in children. Yet, no curative treatment is available. The major gene, NPHP1, encodes a protein playing key functions at the primary cilium and cellular junctions. Using an in cellulo medium-throughput drug-screen, we identified 51 FDA-approved compounds and selected 11 for their physicochemical properties, including prostaglandin E1 (PGE1). PGE1 was further validated to rescue ciliogenesis in immortalized patient NPHP1-/- urine-derived renal tubular cells and corroborated by the effects of its analog PGE2. The two molecules reduced pronephric cyst occurrence in vivo in nphp4 zebrafish model, and PGE1 treatment in Nphp1-/- mice led to a significant reduction of renal tubular dilatations, partially restoring cilia length within tubules. Finally, comparative transcriptomics allowed identification of key molecules downstream PGE1. Altogether, our drug-screen strategy led to the identification of PGE1 as the first potential therapeutic molecule for NPH-associated ciliopathies. Significant statementJuvenile nephronophthisis (NPH) is a renal ciliopathy due to a dysfunction of primary cilia and a common genetic cause of end-stage renal disease in children and young adults. No curative treatment is available. This paper describes the identification of Prostaglandin E1 (PGE1) as the first potential therapeutic molecule for NPH-associated ciliopathies. We demonstrated that PGE1 rescues defective ciliogenesis and ciliary composition in NPHP1-/- patient urine-derived renal tubular cells. Furthermore, PGE1 improves ciliary and kidney phenotypes in our NPH zebrafish and Nphp1-/- mouse models. Finally, in vitro experiments as well as transcriptomic analyses pointed out several pathways downstream PGE1 as cAMP, cell-cell/cell-matrix adhesion or actin cytoskeleton. Altogether, our findings provide a new alternative for treatment of NPH.

cell biology↗

bioRxiv2020

Quantitative dissection of transcription in development yields evidence for transcription factor-driven chromatin accessibility

Thermodynamic models of gene regulation can predict transcriptional regulation in bacteria, but in eukaryotes chromatin accessibility and energy expenditure may call for a different framework. Here we systematically tested the predictive power of models of DNA accessibility based on the Monod-Wyman-Changeux (MWC) model of allostery, which posits that chromatin fluctuates between accessible and inaccessible states. We dissected the regulatory dynamics of hunchback by the activator Bicoid and the pioneer-like transcription factor Zelda in living Drosophila embryos and showed that no thermodynamic or non-equilibrium MWC model can recapitulate hunchback transcription. Therefore, we explored a model where DNA accessibility is not the result of thermal fluctuations but is catalyzed by Bicoid and Zelda, possibly through histone acetylation, and found that this model can predict hunchback dynamics. Thus, our theory-experiment dialogue uncovered potential molecular mechanisms of transcriptional regulatory dynamics, a key step toward reaching a predictive understanding of developmental decision-making.

biophysics↗

bioRxiv2019

Ecosystem services at risk from declining taxonomic and interaction diversity in a tropical forest

Reports of biodiversity loss have increasingly focused on the abundance and diversity of insects, but it is still unclear if substantive insect diversity losses are occurring in intact low-latitude forests. We collected 22 years of plant-caterpillar-parasitoid data in a protected tropical forest and found reductions in diversity and density of these insects that appear to be partly driven by a changing climate and weather anomalies. The decline in parasitism represents a reduction in an important ecosystem service: enemy control of primary consumers. The consequences of these changes are in many cases irreversible and are likely to be mirrored in nearby forests; overall declines in the region will have negative consequences for surrounding agriculture. The decline of important tropical taxa and associated ecosystem function illuminates the consequences of numerous threats to global insect diversity and provides additional impetus for research on tropical diversity.

ecology↗

bioRxiv2017

Dense Bicoid Hubs Accentuate Binding along the Morphogen Gradient

Morphogen gradients direct the spatial patterning of developing embryos, however, the mechanisms by which these gradients are interpreted remain elusive. Here we perform in vivo single molecule imaging in early Drosophila melanogaster embryos of the transcription factor Bicoid that forms a gradient and initiates patterning along the anteroposterior axis. We observe that Bicoid binds to DNA with a rapid off-rate, such that its average occupancy at target loci is on-rate dependent, a property required for concentration-sensitive regulation. Surprisingly, we also observe abundant specific DNA binding in posterior nuclei, where Bicoid levels are vanishingly low. Live embryo imaging reveals spatiotemporal \"hubs\" of local high Bicoid concentration that are dependent on the ubiquitous maternal factor Zelda. We propose that localized modulation of transcription factor on-rates via clustering, provides a general mechanism to facilitate binding to low-affinity targets, and that this may be a prevalent feature directing other developmental transcription networks.

developmental biology↗