miRNAseq analyses

Reason: Protection of research data within an ongoing European collaborative project (BBDiag)

6

day(s)

until file(s) become available

PhD thesis "Preclinical and clinical early Alzheimer’s disease (AD) biomarker discovery using proteins and microRNAs carried by small extracellular vesicles (sEVs)"

dataset
posted on 29.04.2021, 14:00 by Soraya Moradi BachillerSoraya Moradi Bachiller
In the context of blood-based biomarker discovery for early dementia, we focused on small extracellular vesicles (sEVs). SEVs contain specific cargoes (proteins and microRNAs) that may reflect brain disease. They can cross the blood-brain barrier and can be isolated from biofluids, which may improve the detection of Alzheimer's disease outside the brain.
The data of this non-book component derived from cognitively normal controls, mild cognitive impaired and demented subjects. We also analysed two publicy available GEO datasets (GSE120584 and GSE63060/1). The methodology for data collection and analysis is fully described within the thesis (chapter V and chapter IX).
The non-book component consists in the following excel files:
- “Alignment_data_RNAseq”. This file contains the alignment data between miRNA reads and miRBase 22 database.
- “diff-exprs-DESeq2-ADvsCtrl_Plasma_sEVs”. This file contains differentially expressed sEVs-miRNAs for the contrast Ctrl vs AD.
- “diff-exprs-DESeq2-MCIvsCtrl_Plasma_sEVs”. This file contains differentially expressed sEVs-miRNAs for the contrast MCI vs Ctrl.
- “GSE120584_gammaCtrl-MCI-AD_10bootstraps_miRNA_in serum”. This file contains gamma values for miRNAs in serum across AD stages.
- “TABLE_11miRNAs-search-x-GeneTargets_440interactions”. This file shows the mRNA-miRNA pairs for network visualization.



Funding

Horizon 2020 MSCA-ITN-2015-ETN - “Blood Biomarker-based Diagnostic Tools for Early Stage Alzheimer’s Disease” [BBDIAG - 721281]

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