Ontology highlight
ABSTRACT:
PROVIDER: PRJNA532952 | ENA |
REPOSITORIES: ENA
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Project description:The possibility of establishing a Clostridium-based biorefinery is an attractive and viable alternative, due to the wide metabolic versatility of these microorganisms. The Bioprocesses and Bioprospecting group of the Universidad Nacional de Colombia has obtained the genome of Clostridium sp. IBUN13A, which has shown the ability to produce solvents from various substrates and postulated the need to expand the knowledge of the physiology of the bacteria, so, this study establishes the differences in the transcriptomic profile of the strain when it is cultivated in glycerol respect to glucose after 24 hours of fermentation. For this, a RNA-seq study was carried out, and some of the genes that increased its expression on glycerol were related to the oxidative route of its consumption. The enrichment analysis of Gene Ontology terms showed that the biological phenomena with the highest representation within the differentially expressed genes correspond to oxidation-reduction processes. This first approach to the global transcriptomic study of glycerol fermentation allows the understanding of the metabolism of the microorganism with the purpose of choosing targets for genetic modification.
2021-06-27 | GSE178968 | GEO
Project description:'Catharanthus roseus' aster yellows phytoplasma strain:De Villa Genome sequencing
| PRJNA522055 | ENA
Project description:A fractional mathematical model of breast cancer competition model
Author links open overlay panelJ.E.Solís-PérezaJ.F.Gómez-Aguilar
bA.Atanganac
a
Tecnológico Nacional de México/CENIDET. Interior Internado Palmira S/N, Col. Palmira, C.P. 62490, Cuernavaca, Morelos, México
b
CONACyT-Tecnológico Nacional de México/CENIDET. Interior Internado Palmira S/N, Col. Palmira, C.P. 62490, Cuernavaca, Morelos, México
c
Institute for Groundwater Studies, Faculty of Natural and Agricultural Sciences, University of the Free State, Bloemfontein 9300, South Africa
Abstract
In this paper, a mathematical model which considers population dynamics among cancer stem cells, tumor cells, healthy cells, the effects of excess estrogen and the body’s natural immune response on the cell populations was considered. Fractional derivatives with power law and exponential decay law in Liouville–Caputo sense were considered. Special solutions using an iterative scheme via Laplace transform were obtained. Furthermore, numerical simulations of the model considering both derivatives were obtained using the Atangana–Toufik numerical method. Also, random model described by a system of random differential equations was presented. The use of fractional derivatives provides more useful information about the complexity of the dynamics of the breast cancer competition model.
2024-09-02 | BIOMD0000000903 | BioModels
Project description:GenomeTrakr Project: Administración Nacional de Laboratorios e Institutos de Salud Dr. Carlos G. MALBRAN | Argentina
| PRJNA514305 | ENA
Project description:Villa cingulata (downland villa beefly) genome assembly, idVilCing2
| PRJEB62012 | ENA
Project description:Villa cingulata (downland villa beefly), genomic and transcriptomic data
| PRJEB57893 | ENA