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Mercado, C.

Publications and source records attributed to Mercado, C..

4 recordsLinked to original sources

TREM2 deficiency causes region-specific brain effects in a mouse model of cerebral amyloid angiopathy

Cerebral amyloid angiopathy (CAA), a major vascular contributor to cognitive decline, is present in 85-95% of Alzheimers disease (AD) patients. Despite its high prevalence, the mechanisms by which CAA contributes to neurodegeneration remain poorly understood. Triggering receptor expressed on myeloid cells 2 (TREM2), an innate immune receptor expressed exclusively by microglia, regulates activation, phagocytosis, and amyloid clearance, thereby shaping neuroinflammation. Loss-of-function mutations in TREM2 markedly increase AD risk, but its role in CAA pathology remains unknown. To investigate this, we crossed the Familial Danish Dementia (Tg-FDD) mouse model, which accumulates robust vascular amyloid, with TREM2 knockout (TREM2KO) mice to generate Tg-FDD/TREM2KO animals. Histological and transcriptomic analyses revealed region-specific effects of TREM2 deficiency. In the cortex, TREM2 loss markedly reduced vascular amyloid deposition, accompanied by decreased tau pathology. In contrast, in the cerebellum, TREM2 deletion exacerbated vascular amyloid accumulation, promoted astrogliosis, and enhanced tau pathology. Transcriptomic profiling further identified distinct neuroinflammatory signatures between cortex and cerebellum, particularly in cytokine signaling, matrix remodeling, and lipid metabolism. Together, these findings demonstrate that TREM2 deficiency leads to region-specific effects on CAA, revealing extensive regional variability in vascular amyloid pathology and underscoring the importance of considering these differences when developing TREM2-based therapies.

neuroscience↗

Sex-specific chemosensory gene expression in the whitelined sphinx moth (Lepidoptera: Hyles lineata) suggests a role for odorant-binding proteins in host plant choice

The whitelined sphinx moth, Hyles lineata, is a generalist during both the larval and adult stages with a broad geographic range extending across North and Central America. Within the genus Hyles there have been multiple transitions to a narrower host plant range, making Hyles an ideal group to study the evolution and mechanisms of host plant selection. We characterize sex- and appendage-specific chemosensory gene expression in H. lineata, the oldest extant member of the genus. We also describe female-specific gene expression in appendages used to sense plant surfaces as a means of identifying candidate genes involved in host plant choice. Sensilla on these appendages house sensory neurons and support cells that express chemosensory genes, receptors, and small proteins that bind, shuttle, and transport small molecules to allow detection of odorants and other small molecules. We considered genes detected more frequently in the female leg and ovipositor samples to be candidate oviposition-relevant genes. Most chemosensory genes of interest were detected in both sexes, while several odorant receptors were only detected in females. We identified 18 putative chemosensory genes that were specific to female legs, ovipositors, or both body parts. However, most of these genes did not reach statistical criteria to be considered differentially expressed. Instead, a set of OBPs show statistically significant female-biased expression in legs and ovipositors. These genes may serve as candidates for future study of the evolution and mechanisms of oviposition behavior in this species and its relatives. SummaryThe sphinx moth genus Hyles contains both generalist and specialized feeders, making it an ideal system to study the evolution of host plant breadth. The whitelined sphinx moth (Hyles lineata) is a generalist feeder at both adult and larval stages and is the oldest lineage of the genus. In this analysis of sex-specific gene expression, Godfrey and colleagues identify several odorant binding proteins as being more frequently detected in female appendages used to assess host plants. These genes could play a role in host plant selection and can be targets for future mechanistic studies on this species.

evolutionary biology↗

Mapping protein-metabolite interactions in E. coli by integrating chromatographic techniques and co-fractionation mass spectrometry.

In our pursuit of understanding the protein-metabolite interactome, we introduced PROMIS, a co-fractionation mass spectrometry (CF-MS) technique focusing on biosynthetic and regulatory processes. However, the challenge lies in distinguishing true interactors from coincidental co-elution when a metabolite co-fractionates with numerous proteins. To address this, we integrated two chromatographic techniques-- size exclusion and ion exchange--to enhance the mapping of protein-metabolite interactions (PMIs) in Escherichia coli. This integration aims to refine the PMI network by considering size and charge characteristics, resulting in 994 interactions involving 51 metabolites and 465 proteins. The PMI network is enriched for known and predicted interactions validating our approachs efficacy. Furthermore, the analysis of protein targets for different metabolites revealed novel functional insights, such as the connection between proteinogenic dipeptides and fatty acid biosynthesis. Notably, we uncovered an inhibitory interaction between the riboflavin degradation product lumichrome and orotate phosphoribosyltransferase (PyrE), a key enzyme in de novo pyrimidine synthesis. Lumichrome supplementation mimicked the biofilm formation inhibition observed in a{Delta} pyrE mutant strain, suggesting lumichrome role in integrating pyrimidine and riboflavin metabolism with quorum sensing and biofilm formation. In summary, our integrated chromatographic approach significantly advances PMI mapping, offering novel insights into functional associations and potential regulatory mechanisms in E. coli.

biochemistry↗

Variability in drought gene expression datasets highlight the need for community standardization

Physiologically relevant drought stress is difficult to apply consistently, and the heterogeneity in experimental design, growth conditions, and sampling schemes make it challenging to compare water deficit studies in plants. Here, we re-analyzed hundreds of drought gene expression experiments across diverse model and crop species and quantified the variability across studies. We found that drought studies are surprisingly uncomparable, even when accounting for differences in genotype, environment, drought severity, and method of drying. Many studies, including most Arabidopsis work, lack high-quality phenotypic and physiological datasets to accompany gene expression, making it impossible to assess the severity or in some cases the occurrence of water deficit stress events. From these datasets, we developed supervised learning classifiers that can accurately predict if RNA-seq samples have experienced a physiologically relevant drought stress, and suggest this can be used as a quality control for future studies. Together, our analyses highlight the need for more community standardization, and the importance of paired physiology data to quantify stress severity for reproducibility and future data analyses.

plant biology↗