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Alzheimers FTD Microglial Biomarker Panel
Mental Health & Wellness
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About
This dataset presents a microglial activity state biomarker panel, derived from a T-test comparing symptomatic GRN variant carriers with a control group. It is highly relevant for research into Alzheimer's and Frontotemporal Dementia (FTD), offering insights into protein quantification associated with microglial activity. The dataset was authored by Ida Pesämaa, Stephan A. Müller, Sophie Robinson, Alana Darcher, Dominik Paquet, Henrik Zetterberg, Stefan F. Lichtenthaler, and Christian Haass, and received funding from Ludwig-Maximilians-Universität München.
Columns
- Gene name: Identifies specific genes.
- Discovery?: Indicates whether a gene passed FDR criteria (Yes/No).
- P value: The p-value from a two-sided Student's t-test, comparing log2 transformed label-free quantification intensities between symptomatic GRN variant carriers and the control group.
- Mean of CON: The average log2 transformed label-free quantification intensities for the control group.
- Mean of FTD-GRN: The average log2 transformed label-free quantification intensities for symptomatic GRN variant carriers.
- Difference: The difference in average log2 transformed label-free quantification intensities between the control group and symptomatic GRN variant carriers.
- SE of difference: The standard error of the difference between the average log2 transformed label-free quantification intensities of the control group and symptomatic GRN variant carriers.
- t ratio: The 'Difference' divided by the 'SE of difference'.
- df: Degrees of freedom.
- q value: The q-value from a two-sided Student's t-test, comparing log2 transformed label-free quantification intensities of symptomatic GRN variant carriers to the control group.
- Log2 FC (FTD-GRN/CON): Log2 transformed average protein abundance ratios of symptomatic GRN variant carriers compared to the control group.
- log10 p value: The minus log10 transformed p-value.
Distribution
The dataset is supplied in CSV format and is approximately 196.65 KB in size. It comprises 12 columns and contains 2380 records for most variables. There are 2378 unique gene names, with 3 missing values. The 'Discovery?' column indicates that no genes passed FDR criteria in this particular dataset (0 true values out of 2380). The 'q value' column has 2319 valid entries, with 61 mismatched entries.
Usage
This dataset is ideal for:
- Biomarker discovery and validation in neurodegenerative diseases.
- Research into the role of microglial activity in Alzheimer's and Frontotemporal Dementia (FTD).
- Investigating the impact of GRN gene variants on protein expression.
- Statistical analysis of differential protein abundance between disease groups and controls.
- Development of diagnostic or prognostic tools for neurodegenerative conditions.
Coverage
The dataset focuses on the comparison between symptomatic GRN variant carriers and a control group, which is relevant to Alzheimer's and Frontotemporal Dementia research. While the funding institution is Ludwig-Maximilians-Universität München, specific geographic, time range, or detailed demographic coverage of the study participants is not provided in the source material. The dataset was posted on 30 September 2023 and is not expected to be updated.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
This dataset is suitable for:
- Neuroscience Researchers: To study microglial function and protein changes in neurodegenerative diseases.
- Geneticists: To understand the phenotypic effects of GRN gene variants.
- Biomarker Developers: To identify and validate novel biomarkers for Alzheimer's and FTD.
- Bioinformaticians and Statisticians: For analysing high-throughput protein quantification data.
- Pharmaceutical Researchers: For drug target identification and understanding disease mechanisms.
Dataset Name Suggestions
- Alzheimer's FTD Microglial Biomarker Panel
- GRN Variant Neurodegeneration Proteomics
- Microglial Activity State Biomarkers in FTD-GRN
- Protein Quantification in Alzheimer's & FTD
Attributes
Original Data Source: Alzheimers FTD Microglial Biomarker Panel
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