Publications by authors named "M E Atifi"
Our objective was to study NMR relaxometry of glioma invasion/migration at very low field (<2 mT) by fast-field-cycling NMR (FFC-NMR) and to decipher the pathophysiological processes of glioma that are responsible for relaxation changes in order to open a new diagnostic method that can be extended to imaging. The phenotypes of two new glioma mouse models, Glio6 and Glio96, were characterized by T -MRI, HE histology, Ki-67 immunohistochemistry (IHC) and CXCR4 RT-qPCR, and were compared with the U87 model. R dispersions of glioma tissues were acquired at low field (0.
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- Macrophages are versatile immune cells that respond to various environmental signals, influencing their roles in both maintaining tissue health and contributing to diseases.
- The study aimed to create a detailed molecular profile of different macrophage activation states, identifying over 5,100 proteins through advanced techniques.
- Environmental oxygen levels significantly impact macrophage polarization, leading to the discovery of specific markers and highlighting oxygen as a crucial factor in understanding macrophage functions.
Article Synopsis
- The study investigates whether duplication of the ARID1A gene is linked to a new syndrome, analyzing four patients with a specific microduplication on chromosome 1p36.11.
- Researchers used advanced techniques, including RNA sequencing and cell cycle analysis, to understand the effects of this genetic duplication on patient cells.
- Findings indicate that the patients exhibited similar symptoms, such as intellectual disability and microcephaly, with altered gene expression related to these conditions, suggesting a significant link between ARID1A gene duplication and developmental disorders.
In vivo quantification of magnetically labelled cells by MRI relaxometry.
Contrast Media Mol Imaging
November 2016
Article Synopsis
- U937 cells were successfully labelled with a special nanoparticle without affecting their viability and were tested to develop a method for measuring cell concentration through relaxation rate metrics.
- The study validated this method in a mouse model, showing that MRI can accurately map concentrations of labelled U937 cells over time, providing a reliable way to monitor therapeutic cell distribution.
Monitoring glioma cell infiltration in the brain is critical for diagnosis and therapy. Using a new glioma Glio6 mouse model derived from human stem cells we show how diffusion tensor imaging (DTI) may predict glioma cell migration/invasion. In vivo multiparametric MRI was performed at one, two and three months of Glio6 glioma growth (Glio6 (n = 6), sham (n = 3)).
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