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SANCHEZ, L.

Publications and source records attributed to SANCHEZ, L..

5 recordsLinked to original sources

Dynamic regulation of single-cell contractile heterogeneity in the human trabecular meshwork

Altered trabecular meshwork (TM) mechanics contribute to increased aqueous humor outflow resistance and elevated intraocular pressure in glaucoma, yet how contractility is regulated across individual TM cells remains poorly understood. Using a high-throughput single-cell contractility assay, we quantified time-resolved contractile behavior in primary human TM cells under defined extracellular matrix (ECM) compositions, substrate stiffnesses, and pharmacologic perturbations, and related functional mechanical behavior to intracellular protein abundance. Single-cell analyses revealed that TM contractility is not a uniform population property but a context-dependent contractile state shaped by both extracellular and intracellular regulation. ECM composition established distinct contractile programs, with collagen IV promoting rapid convergence toward a highly contractile state, collagen I supporting a slower but similar response, and fibronectin maintaining a persistently heterogeneous low-contractility state. In contrast, the intracellular perturbation dexamethasone (DEX) did not uniformly increase contractility but selectively prolonged contractile activity within the most mechanically active cells, thereby sustaining highly contractile states. This response was progressively constrained as ECM stiffness increased and was absent on pathologically stiff substrates, demonstrating that extracellular mechanical context conditions glucocorticoid responsiveness. Conversely, ROCK inhibition overrode both basal and DEX-induced contractile programs, collapsing the heterogeneous population into a uniformly low-contractility state. Finally, intracellular protein abundance poorly predicted functional mechanical behavior, with weak pooled associations reflecting divergent donor-specific relationships rather than consistent molecular-mechanical coupling. Together, these findings show that TM contractility emerges from integrating intrinsic cellular state and the extracellular mechanical environment rather than from either alone. More broadly, they identify single-cell contractile state as a functional dimension of TM cell identity that cannot be inferred from static molecular marker abundance or population-averaged mechanical measurements.

cell biology↗

Quantitative microinjection of Candida albicans in zebrafish embryos for infection monitoring and survival analysis

This protocol describes a versatile in vivo zebrafish embryo infection model with Candida albicans that enables precise microinjection and monitoring of defined infection readouts to compare experimental conditions (e.g., injection site and incubation temperature). The core workflow consists of quantitative microinjection of DiI-labeled C. albicans into the hindbrain ventricle of 30-48 hpf embryos, incubation at 23 deg C, and daily survival scoring to evaluate condition-dependent mortality. We calibrate the inoculum by hemocytometer counts and by plating the same injection suspension to determine colony-forming units (CFU) per pulse, allowing CFU per embryo to be reported and experiments to be compared across laboratories. Survival is analyzed with Kaplan-Meier curves and, when groups are compared, Cox models. DiI fluorescence verifies successful delivery, excludes mis-injections, and permits semi-quantitative burden comparisons between injection sites and temperatures at 24-48 hpi; beyond [~]48 hpi, signal becomes unreliable due to dye dilution and redistribution. The protocol is designed to be reproducible without transgenic reporters or confocal microscopy and includes practical guidance on randomization, blinding, sample-size planning, and reporting.

microbiology↗

Drought-Induced Epigenetic Memory in the cambium of Poplar Trees persists and primes future stress responses

Understanding how perennial plants such as trees perceive, integrate and memorize repeated environmental stresses like water deficit is crucial in the context of climate change. We investigated short-term and trans-annual memory of water deficit in cambium derived tissues of poplars (Populus spp.) using two contrasting genotypes and four genetically modified epitypes with altered DNA methylation machinery. We found persistent changes in hormone profiles, gene expression and DNA methylation one week after stress relief, consistent with the definition of a multi-layered molecular short-term stress memory. These signatures revealed distinct adaptive strategies between genotypes and marked variability between epitypes, demonstrating that both genetic and epigenetic backgrounds drive stress memory. Trees exposed to water deficit in Year 1 displayed distinct physiological and molecular responses upon re-exposure in Year 2. The more sensitive genotype showed greater molecular plasticity, whereas the more tolerant genotype exhibited higher stability. A limited set of candidate genes was reactivated upon re-exposure together with persistent drought-induced CG methylation changes, supporting a role in long-term stress imprinting and potential priming. Our findings highlight the vascular cambium as a key persistent reservoir for short- to trans-annual stress memory in trees. They suggest that mitotically stable CG DNA methylation dynamics, shaped by genetic predisposition and acting through cis- and trans-regulatory routes, help fine-tune growth-survival strategies over longer time frames. This contrasts with the predominantly short-term stress memory described in annual species. These insights open perspectives for harnessing epigenetic variation in tree breeding and management under increasing drought frequency.

plant biology↗

An in vivo drug screen reveals that cyclooxygenase 2-derived prostaglandin D2 promotes spinal cord neurogenesis.

The study of neurogenesis is essential to understand fundamental developmental processes and for the development of cell replacement therapies for central nervous system disorders. Here, we designed an in vivo drug screening protocol in developing zebrafish to find new molecules and signalling pathways regulating neurogenesis in the ventral spinal cord. This unbiased drug screen revealed that 4 cyclooxygenase (COX) inhibitors reduce the generation of serotonergic interneurons in the developing spinal cord. These results fitted very nicely with available single cell RNAseq data revealing that the floor plate cells show differential expression of 1 of the 2 COX2 zebrafish genes (ptgs2a). Indeed, several selective COX2 inhibitors and 2 different morpholinos against ptgs2a also caused a significant reduction in the number of serotonergic neurons in the ventral spinal cord and led to locomotor deficits. Single cell RNAseq data and different pharmacological manipulations further revealed that COX2-floor plate-derived prostaglandin D2 promotes neurogenesis in the developing spinal cord by promoting mitotic activity in progenitor cells. Rescue experiments using a phosphodiesterase-4 inhibitor suggest that intracellular changes in cAMP levels underlie the effects of COX inhibitors on neurogenesis and locomotion. Our study provides compelling in vivo evidence showing that prostaglandin signalling promotes neurogenesis in the ventral spinal cord.

developmental biology↗

Mate selection: a useful approach to maximize genetic gain and control inbreeding in genomic and conventional oil palm (Elaeis guineensis Jacq.) hybrid breeding

Genomic selection (GS) is the most effective method of marker-assisted selection for the genetic improvement of complex traits in plants and animals. Optimization approaches could be used in conjunction with GS to further increase its efficiency and to limit inbreeding, which can increase faster with GS. Mate selection (MS) typically uses a metaheuristic optimization algorithm, simulated annealing, to optimize the selection of individuals and their matings. However, in species with long breeding cycles, this cannot be studied empirically. Here, we investigated this aspect with forward genetic simulations on a high-performance computing cluster and massively parallel computing, considering the oil palm hybrid breeding example. We compared MS and simple methods of inbreeding management (limitation of the number of individuals selected per family, prohibition of self-fertilization and combination of these two methods), in terms of parental inbreeding and genetic progress over four generations of genomic selection and phenotypic selection. The results showed that, compared to the conventional method without optimization, MS could lead to significant decreases in inbreeding and increases in annual genetic progress, with the magnitude of the effect depending on MS parameters and breeding scenarios. The optimal solution retained by MS differed by five breeding characteristics from the conventional solution: selected individuals covering a broader range of genetic values, fewer individuals selected per full-sib family, decreased percentage of selfings, selfings preferentially made on the best individuals and unbalanced number of crosses among selected individuals, with the better an individual, the higher the number of times he is mated. Stronger slowing-down in inbreeding could be achieved with other methods but they were associated with a decreased genetic progress. We recommend that breeders use MS, with preliminary analyses to identify the proper parameters to reach the goals of the breeding program in terms of inbreeding and genetic gain. Author summaryOil palm is a tropical perennial plant and the world main source of vegetable fats. Oil palm breeding requires the estimation of the additive genetic value of the selection candidates to identify the best hybrid crosses, that will be released as commercial varieties. Genomic selection (GS) is a marker-assisted selection method that has the potential of boosting the rate of genetic progress for quantitative traits. However, GS could also be used in conjunction with approaches to optimize selection and mating, in order to maximize genetic progress while limiting inbreeding, which can increase faster with GS and can have negative consequences (inbreeding depression detrimental for seed production, loss of favorable alleles). This study compared several strategies to reach this goal. In particular, we considered mate selection (MS), a method that uses an algorithm optimizing the selection of individuals and their crosses. Our results showed that MS reduced inbreeding in parental populations and increased annual genetic progress. The originality of this work resides in the fact that, despite the high computational burden of MS, we applied it in a large simulated dataset and showed its efficiency in the context of genomic and conventional selection. Also, this is the first study to characterize, in terms of breeding rules, the optimized solution (i.e. the set of selected individuals and their mating design) retained by MS.

genetics↗