Biology subjects

Lopez, J. L.

Publications and source records attributed to Lopez, J. L..

5 recordsLinked to original sources

bioRxiv2025

Ex Vivo Expanded Regulatory T Cells Inhibit AAA Progression by Limiting CD4+ and CD8+ T Cell Accumulation in Aortic Tissue

BackgroundRegulatory T cells (Tregs) play a crucial role in the pathophysiology of abdominal aortic aneurysms (AAA), a chronic inflammatory condition with few treatment options for patients with early-stage disease. Treg therapy for AAA is potentially beneficial but its specific mechanism requires further investigation for clinical applications. MethodsAfter identifying the critical role of T-cells in AAA using human and mouse AAA single-cell RNA sequencing data, we investigated the influence of Tregs on immune cell infiltration within mouse AAA--specifically CD3+ T cells--using congenic transfer of Thy1.1 allelic donor mice Tregs into AAA-induced wild-type C57BL/6J mice. AAA progression was quantified with ultrasound and image micrometry. Tissues obtained on postoperative days 7-42 were analyzed with flow cytometry, qRT-PCR, Verhoeff-van Gieson staining, hematoxylin-eosin staining, and immunohistochemistry. ResultsCD3+ T cell population was profoundly elevated in the elastase induced AAA mouse model which was further used in the study. The AAA mice that received Treg cell therapy had less elastin degradation and aortic wall enlargement than their control counterparts. Donor Tregs were detected in draining lymph nodes even after five weeks, with characteristic expression of FOXP3 and CD25. Although donor Tregs were not detected in the aortic microenvironment, the pro-inflammatory cell population including CD4 and CD8 cells was reduced, compared to control mice. ConclusionElevated T cell population aggravates inflammation and promotes AAA progression. Treg therapy impedes the recruitment of T cells into AAA tissue by colonizing the draining lymph nodes, thereby mitigating AAA progression. This study deepens our understanding of Treg stability, function, and potential as a promising therapy for early-stage aneurysms.

immunology↗

bioRxiv2024

Bacterial family-specific enrichment and functions of secretion systems in the rhizosphere

The plant rhizosphere is a highly selective environment where bacteria have developed traits to establish themselves or outcompete other microbes. These traits include bacterial secretion systems (SSs) that range from Type I (T1SS) to Type IX (T9SS) and can play diverse roles. The best known functions are to secrete various proteins or other compounds into the extracellular space or into neighbouring cells, including toxins to attack other microbes or effectors to suppress plant host immune responses. Here, we aimed to determine which bacterial SSs were associated with the plant rhizosphere. We utilised paired metagenomic datasets of rhizosphere and bulk soil samples from five different plant species grown in a wide variety of soil types, amounting to ten different studies. The T3SS and T6SS were generally enriched in the rhizosphere, as observed in studies of individual plant-associated genera. We also identified additional SSs that have received less attention thus far, such as the T2SS, T5SS and Bacteroidetes-specific T6SSiii and T9SS. The predicted secreted proteins of some of these systems (T3SS, T5SS and T6SS) could be linked to functions such as toxin secretion, adhesion to the host and facilitation of plant-host interactions (such as root penetration). The most prominent bacterial taxa with rhizosphere- or soil-enriched SSs included Xanthomonadaceae, Oxalobacteraceae, Comamonadaceae, Caulobacteraceae, and Chitinophagaceae, broadening the scope of known plant-associated taxa that use these systems. We anticipate that the SSs and taxa identified in this study may be utilised for the optimisation of bioinoculants to improve plant productivity.

microbiology↗

bioRxiv2023

The tetrapeptide sequence of IL-1β regulates its recruitment and activation by inflammatory caspases

The mammalian innate immune system uses germline-encoded cytosolic pattern-recognition receptors (PRRs) to detect intracellular danger signals. At least six of these PRRs are known to form multiprotein complexes called inflammasomes which activate cysteine proteases known as caspases. Canonical inflammasomes recruit and activate caspase-1 (CASP1), which in turn cleaves and activates inflammatory cytokines such as IL-1{beta} and IL-18, as well as the pore forming protein, gasdermin D (GSDMD), to induce pyroptotic cell death. In contrast, non-canonical inflammasomes, caspases-4/-5 (CASP4/5) in humans and caspase-11 (CASP11) in mice, are activated by intracellular LPS to cleave GSDMD, but their role in direct processing of inflammatory cytokines has not been established. Here we show that active CASP4/5 directly cleave IL-18 to generate the active species. Surprisingly, we also discovered that CASP4/5/11 cleave IL-1{beta} at D27 to generate a 27 kDa fragment that is predicted to be inactive and cannot signal to the IL-1 receptor. Mechanistically, we discovered that the sequence identity of the P4-P1 tetrapeptide sequence adjacent to the caspase cleavage site (D116) regulates the recruitment and processing of IL-1{beta} by inflammatory caspases to generate the bioactive species. Thus, we have identified new substrates of the non-canonical inflammasomes and reveal key mechanistic details regulating inflammation.

immunology↗

bioRxiv2022

Copiotrophs dominate rhizosphere microbiomes and growth rate potential is a major factor explaining the rhizosphere effect

The structure and function of the root microbial community is shaped by plant root activity, enriching specific microbial taxa and functions from the surrounding soil as the plant root grows. Knowledge of bacterial rhizosphere competence traits are important for predictive microbiome modeling and the development of viable bioinoculants for sustainable agriculture solutions. In this work we compared growth rate potential, a complex trait that recently became predictable from bacterial genome sequences, to functional traits encoded by proteins. We analyzed 84 paired rhizosphere- and soil-derived 16S rRNA metabarcoding datasets from 18 different plants and soil types, performed differential abundance analyses and estimated growth rates for each bacterial genus. This analysis revealed that bacteria with a high growth rate potential consistently dominated the rhizosphere. Next, we analyzed the genome sequences of 3270 bacterial isolates and 6707 MAGs from 1121 plant- and soil-associated metagenomes, confirming this trend in different bacterial phyla. We next investigated which functional traits were enriched in the rhizosphere, expanding the catalog of rhizosphere-associated traits with hundreds of new functions. When we compared the importance of different functional categories to the predicted growth rate potential using a machine learning model, we found that growth rate potential was the main feature for differentiating rhizosphere and soil bacteria, revealing the broad importance of this factor for explaining the rhizosphere effect. Together, we contribute new understanding of the bacterial traits needed for rhizosphere competence. As this trait may be inferred from (meta-) genome data, our work has implications for understanding bacterial community assembly in the rhizosphere, where many uncultivated bacteria reside.

microbiology↗

bioRxiv2020

Codon-usage optimization in the prokaryotic tree of life: How synonymous codons are differentially selected in sequence domains with different expression levels and degrees of conservation.

Prokaryote genomes exhibit a wide range of GC contents and codon usages, both resulting from an interaction between mutational bias and natural selection. In order to investigate the basis underlying specific codon changes, we performed a comprehensive analysis of 29-different prokaryote families. The analysis of core-gene sets with increasing ancestries in each family lineage revealed that the codon usages became progressively more adapted to the tRNA pools. While, as previously reported, highly-expressed genes presented the more optimized codon usage, the singletons contained the less selectively-favored codons. Results showed that usually codons with the highest translational adaptation were preferentially enriched. In agreement with previous reports, a C-bias in 2- to 3-fold codons, and a U-bias in 4-fold codons occurred in all families, irrespective of the global genomic-GC content. Furthermore, the U-biases suggested that U3-mRNA-U34-tRNA interactions were responsible for a prominent codon optimization in both the more ancestral core and the highly expressed genes. A comparative analysis of sequences that encode conserved-(cr) or variable-(vr) translated products, with each one being under high- (HEP) and low- (LEP) expression levels, demonstrated that the efficiency was more relevant (by a factor of 2) than accuracy to modelling codon usage. Finally, analysis of the third position of codons (GC3) revealed that, in genomes of global-GC contents higher than 35-40%, selection favored a GC3 increase; whereas in genomes with very low-GC contents, a decrease in GC3 occurred. A comprehensive final model is presented where all patterns of codon usage variations are condensed in five-distinct behavioral groups. IMPORTANCEThe prokaryotic genomes--the current heritage of the more ancient life forms on earth-- are comprised of diverse gene sets; all characterized by varied origins, ancestries, and spatial-temporal-expression patterns. Such genetic diversity has for a long time raised the question of how cells shape their coding strategies to optimize protein demands (i.e., product abundance) and accuracy (i.e., translation fidelity) through the use of the same genetic code in genomes with GC-contents that range from less than 20 to over 80%. In this work, we present evidence on how codon usage is adjusted in the prokaryote tree of life, and on how specific biases have operated to improve translation. Through the use of proteome data, we characterized conserved and variable sequence domains in genes of either high- or low-expression level, and quantitated the relative weight of efficiency and accuracy--as well as their interaction--in shaping codon usage in prokaryotes.

microbiology↗