MicroRNAs in the Diagnosis of Malignancy of Supratentorial Brain Gliomas and Prognosis of Disease Progression.

Introduction: The study of brain tumors has shown that microRNAs can act as both oncogenes and tumor suppressors and, consequently, can be used as biomarkers for the diagnosis and prognosis of such tumors. Thus, big interest arises in the role of microRNA and its part in oncogenesis in the human brain to find key molecules that can act as tumor markers for diagnostic and prognostic purposes, as well as potential therapeutic agents.

Study Aim: The sim of this study was to assess histological, molecular, and genetic metrics in patients with supratentorial gliomas, and indicate diagnostic and prognostic abilities of microRNA usage as biomarkers of the grade of malignancy of the tumor.

Discovering Glioma Tissue through Its Biomarkers' Detection in Blood by Raman Spectroscopy and Machine Learning.

The most commonly occurring malignant brain tumors are gliomas, and among them is glioblastoma multiforme. The main idea of the paper is to estimate dependency between glioma tissue and blood serum biomarkers using Raman spectroscopy. We used the most common model of human glioma when continuous cell lines, such as U87, derived from primary human tumor cells, are transplanted intracranially into the mouse brain.

Selection of reference genes for quantitative analysis of microRNA expression in three different types of cancer.

MicroRNAs (miRNAs) are promising biomarkers in cancer research. Quantitative PCR (qPCR), also known as real-time PCR, is the most frequently used technique for measuring miRNA expression levels. The use of this technique, however, requires that expression data be normalized against reference genes.

Investigation of the backflows and outlet boundary conditions for computations of the patient-specific aortic valve flows.

Background: Simulation divergence due to the backflow through the outlet boundary is a common, but not fully addressed challenge in patient-specific simulations of the aortic valve flows.

Objective: The purpose of this study is to develop the outlet boundary conditions aiming to improve convergence of the patient-specific aortic valve computations and to control the backflow in the case of partial reversal of the flow through the outlet.

Methods: Haemodynamic analysis of the aortic valve flows governed by the Navier-Stokes equations is performed by using the finite volume method.

[Cyclic digene system as a control element of a bacterial biosensor].

The Escherichia coil JC1 58(pCIA12/pG FK5) strain carrying a cyclic digene system with a negative feedback on the pCIA12 plasmid reacting to the DNA damage by changing the synthesis level of reporter genes-GFP and beta-galactosidase-was tested. The acquired phenotype was inherited by the next generations after the removal of the genotoxic action when the concentration of the DNA-damaging compounds was above the threshold level. A potential has been shown for the application of bacterial biosensors to monitor the presence of genotoxicants in the environment and to test the consequences of short-term exposures to toxic compounds.