Project description:Alzheimer’s Disease (AD) is an age-related neurodegenerative disorder characterized by progres-sive memory loss and cognitive impairment, affecting 35 million individuals worldwide. Intracer-ebroventricular (ICV) injection of low to moderate doses of STZ in adult male Wistar rats can re-produce classical physiopathological hallmarks of AD. This biological model is known as ICV-STZ. Most studies are focused on the description of behavioral and morphological aspects of the ICV-STZ model. However, the knowledge regarding the molecular aspects of the ICV-STZ model is still in-cipient. Therefore, this work is a first attempt to provide a wide proteome description of the ICV-STZ model based on Mass spectrometry (MS). To achieve that, samples from pre-frontal cortex (PFC) and hippocampus (HPC) of the ICV-STZ model and control (wild-type) were used. Differ-ential protein abundance, pathway, and network analysis was performed based on the protein identification and quantification of the samples. Our analysis revealed dysregulated biological pathways implicated in early stages of Late-Onset Alzheimer’s Disease (LOAD) based on differen-tially abundant proteins (DAPs). Some of these DAPs had their mRNA expression further inves-tigated through qRT-PCR. Our results shed light on the AD onset and demonstrate the ICV-STZ as a valid model for LOAD proteome description.
Project description:Intervention 1: Intervention group: Roy follow-up care model. Intervention 2: Control group: Chemotherapy and routine nursing and medical care that are applied on a daily basis, and does not receive a training program based on the Roy adaptation pattern.
Primary outcome(s): The severity of depression, anxiety and stress. Timepoint: First and 2 months after the intervention. Method of measurement: Roy review And recognition form and anxiety scale, depression, stress DASS-21.
Study Design: Randomization: Randomized, Blinding: Single blinded, Placebo: Not used, Assignment: Other, Purpose: Education/Guidance, Randomization description: Blocks randomization method was used to allocate individuals to groups, Blinding description: the allocation of patients to the groups was done by a nurse in the department that have no information about the treatment of A or B group. (Hiding random allocation and staying out of the intervention group).
Project description:Mosaic Analysis with Double Markers (MADM) based glioma mouse model, which homozygously lacks Tp53 and Nf1, spontaneously developed gliomas at the post-natal 90-120 days. Tp53 and Nf1 are among the most frequently mutated genes in human glioma patients. Investigating the expression changes of genes induced by inactivation of Tp53 and Nf1 can be a clue to clarify the mechanism of gliomagenesis. We examined the expressions of glioma in MADM mouse at post-natal 150 days (n=3) and of normal brain in Tp53 and Nf1 wild type mouse at post-natal 150 days (n=2). We used SurePrint G3 Mouse GE 8×60K array slides (G4858A, Agilent Technologies).
Project description:Mosaic Analysis with Double Markers (MADM) based glioma mouse model, which homozygously lacks Tp53 and Nf1, spontaneously developed gliomas at the post-natal 90-120 days. Tp53 and Nf1 are among the most frequently mutated genes in human glioma patients. Investigating the changes of histone modifications induced by inactivation of Tp53 and Nf1 can be a clue to clarify the mechanism of gliomagenesis. We examined the histone modifications of glioma in MADM mouse at post-natal 150 days (n=3) and post-natal 8 days (n=1) and NSC, astrocyte derived from normal mice brain (both n=1) ). We used customized SurePrint G3 Mouse GE 2×400K array slides (G4858A, Agilent Technologies).
Project description:High-density oligonucleotide tiling-microarrays are currently providing a powerful tool for genome-wide in vivo DNA footprinting assays, yielding unprecedented insights into tissuespecific protein-DNA interactions and chromatin structure. Despite the impressive advances, however, the technology still suffers from numerous complications caused by background noise and probespecific effects. A few computational methods modeling sequencerelated probe effects are now available for Affymetrix tiling arrays, but no counterpart is yet available for two-color arrays. A novel normalization method based on the GC content of probes is developed for two-color tiling-arrays. The proposed method, together with robust estimates of the model parameters, is shown to perform superbly on published data sets. Accompanying the normalization method, a robust algorithm for detecting peak regions is formulated and also shown to perform well compared to other approaches. The tools presented herein have been implemented for NimbleGen tiling arrays as a stand-alone Java program, which can also display various plots of statistical analysis for quality control of experiments. Upon changing the file format, the program also works on Agilent data. Keywords: ChIP-chip