A recent network-based transcriptome study based on mouse models noted strong overlap between genes regulated during cerebral malaria and genes regulated during M. tb infections [ 50].
In a study based on mouse macrophages it was shown that M. tb activates a nucleic acid sensing pathway [ 52].
Finally, in order to reconcile parts of this study based on mouse and human analyses, we have tested JunD expression pattern in breast cancers.
To this end, we present a case report study based on a mouse model for epilepsy and analyze longitudinal intracranial electroencephalography data of epilepsy to calculate FC across three stages: 1, the initial insult (status epilepticus); 2, the latent period, when epileptogenic networks emerge; and 3, chronic epilepsy, when unprovoked seizures occur as spontaneous events.
Given that our initial study based on five mice indicated a significant impairment of cognitive function at 12 months of age, we reasoned that there might be an age-dependent cognitive impairment due to Dnmt1 haploinsufficiency.
Phylogeographic studies based on house mouse mitochondrial genome (mtDNA) sequences link patterns of house mouse phylogeography and human historical movements, e.g. during the Iron Age and Viking Age [ 8, 9].
In addition, the promising results concerning the potential effectiveness of SDs based on P 188 for improvement of ABZ Bd and the utility of pharmacokinetic studies based on mice model for preliminary screen studies are worthy instead of using superior species (dogs).
A large part of the knowledge on TLR expression in NK cells from both human or mouse subjects has been acquired in studies based on mRNA detection, and remains controversial [ 22- 24, 39, 40] However, mRNA detection is not equivalent to protein expression, which depends on translational and post-translational events that will confer the functionality and the right cellular localization.
We used six mice per group for in vivo studies based on a calculation of 80% power to detect any tumor size difference greater than 18% with a 5% type I error rate, based on tumor size variability (9.8%) in PANC1 tumors.
In this respect, great knowledge can be obtained from tendon developmental studies based on gene knockout and reporter mouse strains (Dex et al. 2016).
