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1.
BMC Bioinformatics ; 25(1): 121, 2024 Mar 21.
Artículo en Inglés | MEDLINE | ID: mdl-38515063

RESUMEN

BACKGROUND: With the generation of vast compendia of biological datasets, the challenge is how best to interpret 'omics data alongside biochemical and other small-scale experiments to gain meaningful biological insights. Key to this challenge are computational methods that enable domain-users to generate novel hypotheses that can be used to guide future experiments. Of particular interest are flexible modeling platforms, capable of simulating a diverse range of biological systems with low barriers of adoption to those with limited computational expertise. RESULTS: We introduce Cell4D, a spatial-temporal modeling platform combining a robust simulation engine with integrated graphics visualization, a model design editor, and an underlying XML data model capable of capturing a variety of cellular functions. Cell4D provides an interactive visualization mode, allowing intuitive feedback on model behavior and exploration of novel hypotheses, together with a non-graphics mode, compatible with high performance cloud compute solutions, to facilitate generation of statistical data. To demonstrate the flexibility and effectiveness of Cell4D, we investigate the dynamics of CEACAM1 localization in T-cell activation. We confirm the importance of Ca2+ microdomains in activating calmodulin and highlight a key role of activated calmodulin on the surface expression of CEACAM1. We further show how lymphocyte-specific protein tyrosine kinase can help regulate this cell surface expression and exploit spatial modeling features of Cell4D to test the hypothesis that lipid rafts regulate clustering of CEACAM1 to promote trans-binding to neighbouring cells. CONCLUSIONS: Through demonstrating its ability to test and generate hypotheses, Cell4D represents an effective tool to help integrate knowledge across diverse, large and small-scale datasets.


Asunto(s)
Calmodulina , Fenómenos Fisiológicos Celulares , Simulación por Computador , Membrana Celular
2.
Gut Microbes ; 14(1): 2104087, 2022.
Artículo en Inglés | MEDLINE | ID: mdl-35912530

RESUMEN

Invariant Natural Killer T (iNKT) cells are unconventional T cells that respond to glycolipid antigens found in microbes in a CD1d-dependent manner. iNKT cells exert innate-like functions and produce copious amounts of cytokines, chemokines and cytotoxic molecules within only minutes of activation. As such, iNKT cells can fuel or dampen inflammation in a context-dependent manner. In addition, iNKT cells provide potent immunity against bacteria, viruses, parasites and fungi. Although microbiota-iNKT cell interactions are not well-characterized, mounting evidence suggests that microbiota colonization early in life impacts iNKT cell homeostasis and functions in disease. In this study, we showed that CD1d-/- and Vα14 Tg mice, which lack and have increased numbers of iNKT cells, respectively, had no significant alterations in gut microbiota composition compared to their littermate controls. Furthermore, specific iNKT cell activation by glycolipid antigens only resulted in a transient and minimal shift in microbiota composition when compared to the natural drift found in our colony. Our findings demonstrate that iNKT cells have little to no influence in regulating commensal bacteria at steady state.Abbreviations: iNKT: invariant Natural Killer T cell; αGC: α-galactosylceramide.


Asunto(s)
Microbioma Gastrointestinal , Microbiota , Células T Asesinas Naturales , Animales , Citocinas , Glucolípidos , Ratones
3.
Gut Microbes ; 13(1): 1994832, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-34751631

RESUMEN

Escherichia coli Nissle (EcN), a probiotic bacterium, has been employed in treating inflammatory bowel disease, but the nature of its therapeutic effect is not fully understood. Intestinal inflammation alters the environment, exposing the microbial population to new stresses and eliciting transcriptional responses. We administered EcN to germ-free mice and then compared its transcriptional response between DSS-treated and untreated conditions using RNA-seq analysis to identify 187 differentially expressed genes (119 upregulated, 68 downregulated) and verifying a subset with qRT-PCR. The upregulated genes included many involved in flagella biosynthesis and motility, as well as several members of the formate hydrogenlyase complex. Despite prior evidence that these pathways are both transcriptionally regulated by nitric oxide, in vitro tests did not establish that nitric oxide exposure alone elicited the transcriptional response. The results provide new information on the transcriptional response of EcN to inflammation and establish a basis for further investigation of its anti-inflammatory activity.


Asunto(s)
Colitis/tratamiento farmacológico , Proteínas de Escherichia coli/genética , Escherichia coli/genética , Flagelos/genética , Formiato Deshidrogenasas/genética , Hidrogenasas/genética , Complejos Multienzimáticos/genética , Probióticos/administración & dosificación , Animales , Colitis/inducido químicamente , Colitis/microbiología , Sulfato de Dextran/efectos adversos , Escherichia coli/enzimología , Escherichia coli/metabolismo , Proteínas de Escherichia coli/metabolismo , Femenino , Flagelos/metabolismo , Formiato Deshidrogenasas/metabolismo , Humanos , Hidrogenasas/metabolismo , Masculino , Ratones , Ratones Endogámicos C57BL , Complejos Multienzimáticos/metabolismo
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