Literatura científica selecionada sobre o tema "Fève – Teneur en protéines – Transformation"
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Artigos de revistas sobre o assunto "Fève – Teneur en protéines – Transformation"
OUHAYOUN, J. "La composition corporelle du lapin. Facteurs de variation". INRAE Productions Animales 2, n.º 3 (10 de julho de 1989): 215–26. http://dx.doi.org/10.20870/productions-animales.1989.2.3.4415.
Texto completo da fonteAssad-Bustillos, Melissa, Carole Tournier, Hubert Chiron, Sofiane Guessasma, Chantal Septier, Guy Della Valle e Gilles Feron. "Impact de l’incorporation en protéines de légumineuses (pois et fève) dans des produits céréaliers (brioche et génoise) à destination de personnes âgées sur la transformation orale et la digestibilité in vitro des protéines". Cahiers de Nutrition et de Diététique 55, n.º 6 (dezembro de 2020): 317–24. http://dx.doi.org/10.1016/j.cnd.2020.08.002.
Texto completo da fonteShaahu, D. T., L. Abah e J. A. Ayoade. "The effect of dietary replacement of maize with spent sorghum residue-cassava peel composite meal on growth performance and feed cost analysis in the diet of growing rabbits". Nigerian Journal of Animal Production 49, n.º 1 (25 de fevereiro de 2022): 215–23. http://dx.doi.org/10.51791/njap.v49i1.3420.
Texto completo da fonteAdewoye, Ezekiel Doyin. "Growth Comparison and Feed Content Analysis of Broiler". Nigerian Journal of Animal Production 50, n.º 1 (6 de dezembro de 2023): 13–20. http://dx.doi.org/10.51791/njap.v50i1.3900.
Texto completo da fonteTeses / dissertações sobre o assunto "Fève – Teneur en protéines – Transformation"
Borkowski, Olivier. "Growth-rate-dependent protein production in bacteria". Thesis, Paris 5, 2013. http://www.theses.fr/2013PA05T004.
Texto completo da fonteCurrent theories suggest that translation efficiency (i.e. number of proteins produced permRNA) remains invariant with increasing growth rate, which is inconsistent with the scanty correlation between mRNAs and cognate proteins abundances at the genome-scale level. We tackled this apparent paradox using a systems biology approach. We developed a knowledgebased, nonlinear mathematical model of translation. The in-depth analysis of the model led us to reassess experimentally, using high-throughput and genome-wide technologies, each measurable RNA entity at different growth rates. In contrast to the current knowledge, the total mRNA abundance was not constant but linearly increased with respect to the growth rate. A model-driven integration of genome-wide and molecular experimental datasets demonstrated that the drop in abundance of a constitutively expressed protein with increasing growth rate is not only due to the dilution but also to an unexpected up to 4-fold decrease of translation efficiency. Our model revealed that this drop relies on a drastic decrease in free (untranslating) ribosomes, a non-measurable entity. Using a set of 18 Bacillus subtilis strains combining 9 synthetic translation initiation regions (TIRs) and 2 constitutive promoters, we show that TIRs together with free ribosome abundance strongly contribute to a nonlinear modulation of single proteins as a function of the growth rate. The nonlinearity accounted for the loss of correlation between mRNAs and cognate proteins abundances. Altogether, our results evidenced a unique, hard-coded and global growth-rate-dependent regulation of single bacterial proteins without dedicated regulators