Dataset for the project "Identifying disease signatures of neurodegenerative dementias: a focus on autoimmunity and inflammation" Italian Ministry of Health, Italy, Ricerca Finalizzata (Grant RF-2019-12369272)

<p><strong><span>Dataset for the project &ldquo;Identifying disease signatures of neurodegenerative dementias: a focus on autoimmunity and inflammation&rdquo; Italian Ministry of Health, Italy, Ricerca Finalizzata (Grant RF-2019-12369272)</span></strong></p> <p><strong><span>Specific Aim 1</span></strong></p> <p><span>To identify an immune-system genetic profile associated with disease onset, clinical phenotype and progression in AD and FTLD patients</span></p> <p><strong><span>Specific Aim 2</span></strong></p> <p><span>To identify an inflammatory/autoimmune biochemical signature associated with disease onset, clinical phenotype and progression in AD and FTLD patients</span></p> <p><strong><span>Specific Aim 3</span></strong></p> <p><span>To study the molecular mechanism involved in anti-GluA3 mediated synaptic, cellular and functional dysfunctions leading to neurodegeneration</span></p> <p><span>The present dataset contains the following folders:</span></p> <ul> <li><strong><span>Aim1:</span></strong><span> </span></li> <ul> <li><span>gVCF: a folder containing all gVCF files for each sample sequenced</span></li> <li><span>Correspondence: a dataset (excel file) containing sample name, group and corresponding g.vcf file name</span></li> <li><span>Gene selected for panel design: an excel file with the 50 genes included in the NGS panel</span></li> <li><span>RawData-RF2019_variants: an excel file containing results included in an article published in IJMS (Int J Mol Sci. 2024; 25(13):7457. doi: 10.3390/ijms25137457) already openly available in the Zenodo Data Repository at doi: 10.5281/zenodo.11659282.</span></li> </ul> </ul> <ul> <li><strong><span>Aim2</span></strong><span>: </span></li> <ul> <li><span>NTA_file: a folder containing Raw NTA file for each sample (from these files we extracted EV concentration and size)</span></li> <li><span>Anti-GluA3_analyses: a dataset (excel file) containing ID sample, diagnosis, group, Anti-GluA3 values from ELISA assay</span></li> <li><span>Biochemical_analyses_UO1: a dataset (excel file) containing sample, group, Raw NTA File name and MHC-II levels from ELISA assay</span></li> <li><span>Biochemical_analyses_UO2: a dataset (excel file) containing sample, group, cytokine/chemokine (Eotaxin, Eotaxin-3, IFN gamma, IL-1 beta, IL-6, IL-8, IL-10, IL-12p70, IP-10, MCP-1, MIP-1 beta, TARC, TNF alpha and IL-17A) levels from Luminex assay</span></li> </ul> </ul> <ul> <li><strong><span>Aim3:</span></strong><span> Results from aim 3 have been included in an article published in Brain, Behavior and Immunity (</span><span>Brain Behav Immun. 2024 May;118:380-397. doi: 10.1016/j.bbi.2024.03.018</span><span>).</span></li> <ul> <li><span>Behaviour: a folder containing datasets and raw data regarding different batches of behavioural analyses</span></li> <li><span>Biochemistry: a folder containing raw data regarding different western blot analyses</span></li> <li><span>Spine_Morphology</span><span>:</span><span> a folder containing datasets and raw data regarding spine morphology</span><span> analyses</span></li> </ul> </ul> <p><span>Users must clarify how they intend to use data here uploaded and whether the research protocol has been approved by an Ethics committee. Data on unpublished results will be available, under the same restrictions, after publication.</span></p>