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Growth - BioRxiv

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Last Updated: 05 July 2022

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Nanoparticle-mediated transgene expression of insulin-like growth factor 1 in the growth restricted guinea pig placenta increases placenta nutrient transporter expression and fetal glucose concentrations

After administration, a Sustained hIGF-1 antibody was found in the placenta five days after treatment. Whilst gene therapy did not increase fetal weight, circulating fetal glucose levels were 37 percent higher. Overall, our results, which show that gene therapy intervention has resulted in changes to glucose transporter expression and elevated fetal glucose levels within a short time span, highlight the translational promise that this therapy may have in correcting impaired placental nutrient transport in human pregnancies complicated by FGR.

Source link: https://doi.org/10.1101/2021.06.24.449769


The coordination of replication initiation with growth rate in Escherichia coli

Escherichia coli coordinates replication and division cycles by launching replication at about the same size per chromosome at all growth rates. We have identified wild-type cells grown under different conditions, as well as several mutants related to the origins and binding states of the initiator protein DnaA. The replication initiation size control is not largely dependent on the absolute concentration of DnaA, nor does it require active dnaA expression, as shown by Table 1. Cell division or replication termination is also not directly triggered by replication termination, which is also not triggered by replication termination.

Source link: https://doi.org/10.1101/2021.10.11.463968


Universal Ontogenetic Growth without Fitting Parameters: Implications for Life History Invariants & Population Growth

Many models have been developed that tie ontogenetic growth trajectories for living organisms and collapse them into a single universal curve since Von Bertalanffy's work. We find that ontogenetic growth can also be described by a universal growth curve for all tested species using a Bertalanffy-type ontogenetic growth equation, but without the assistance of any fitting parameters. Furthermore, our model also forecasts a generation time and lifespan that reveal several Life History Invariants' origins and estimate that the Malthusian parameter should be inversely proportional to both the generation time and lifespan, which is in agreement with the literature's results.

Source link: https://doi.org/10.1101/2021.10.10.463814


Estimating the maximal growth rates of eukaryotic microbes from cultures and metagenomes via codon usage patterns

Moreover, our methods for determining the functional capabilities of eukaryotic microbes in the environment are rather limited because many microbes have yet to be grown in culture. Maximum growth rate is a basic determinant of a microbial lifestyle that provides critical information about an organism's roles in a community. We found that, unlike prokaryotes, culture collections of microbial eukaryotes are only marginally biased in terms of growth prospects, only marginally biased in terms of growth potential. We then extended our system to make community-wide estimates of growth potential from over 500 marine metagenomes, mapping growth potential across the global oceans. Prokaryotic and eukaryotic populations have high growth potentials near the ocean surface, according to our findings, but that this association fades even more in the water column.

Source link: https://doi.org/10.1101/2021.10.15.464604

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions