Редокс-зависимое изменение экспрессии генов изоформ пероксиредоксина в резистентных к доксорубицину опухолевых клетках
In the internal medicine wide spectrum the gastroenterology is one of the chapters, less enlightened by the scientific evidence. It does not mean that the practice of the grasntroenterology may ot be improved by the systematic use of the approaches of the evidence based medicine
We studied the expression of peroxiredoxin genes (PRDX1, PRDX2, PRDX3, and PRDX6) in human erythroleukemia K652, human breast carcinoma MCF-7, and human ovarian carcinoma SKOV-3 cells during cisplatin resistance development. It was found that drug resistance formation was accompanied by a significant increase in the expression of PRDX1, PRDX2, PRDX3, PRDX6 genes in all cancer cell strains, which confirms the important contribution of redox-dependent mechanisms into the development of cisplatin resistance of cancer cells.
At the moment, for the equalization of reads histogram, which derived from the treatment of the transcriptome of diﬀerent individuals, it is suggested to use a negative binomial distribution. In this paper we analyze the “physical” basis of a broadening of Poisson distribution, and conclude that the true form of the distribution is really compound Poisson distribution (a special case of which is the negative binomial distribution), but the true choice is another special case of this distribution, i.e. n-times convolution (n is a random variable with Poisson distribution) of random variables with the exponential (not logarithmical) distribution. It is shown that a distribution of gene expression intensity in a group of individuals calculated from the published data is described better by the convolution of exponential functions.
Many environmental stimuli present a quasi-rhythmic structure at different timescales that the brain needs to decompose and integrate. Cortical oscillations have been proposed as instruments of sensory de-multiplexing, i.e., the parallel processing of different frequency streams in sensory signals. Yet their causal role in such a process has never been demonstrated. Here, we used a neural microcircuit model to address whether coupled theta–gamma oscillations, as observed in human auditory cortex, could underpin the multiscale sensory analysis of speech. We show that, in continuous speech, theta oscillations can flexibly track the syllabic rhythm and temporally organize the phoneme-level response of gamma neurons into a code that enables syllable identification. The tracking of slow speech fluctuations by theta oscillations, and its coupling to gamma-spiking activity both appeared as critical features for accurate speech encoding. These results demonstrate that cortical oscillations can be a key instrument of speech de-multiplexing, parsing, and encoding.