markers_df_brain

<p>Top 1000 marker genes from each of the six major brain cell types (ie astrocytes, endothelial cells, microglia, neurons, oligodendrocytes, and OPCs) estimated from a meta-analysis of brain cell gene expression data from both humans and mice.</p>

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Analysis of relative cell type proportions in bulk gene expression data. Provides a well-validated set of brain cell type-specific marker genes derived from multiple types of experiments, as described in McKenzie (2018) <doi:10.1038/s41598-018-27293-5>. For brain tissue data sets, there are marker genes available for astrocytes, endothelial cells, microglia, neurons, oligodendrocytes, and oligodendrocyte precursor cells, derived from each of human, mice, and combination human/mouse data sets. However, if you have access to your own marker genes, the functions can be applied to bulk gene expression data from any tissue. Also implements multiple options for relative cell type proportion estimation using these marker genes, adapting and expanding on approaches from the 'CellCODE' R package described in Chikina (2015) <doi:10.1093/bioinformatics/btv015>. The number of cell type marker genes used in a given analysis can be increased or decreased based on your preferences and the data set. Finally, provides functions to use the estimates to adjust for variability in the relative proportion of cell types across samples prior to downstream analyses.

Andrew McKenzie

BRETIGEA

Brain Cell Type Specific Gene Expression Analysis

markers_df_brain function

<p>An object of class <code>data.frame</code> with 6000 rows and 2 columns.</p>

markers_df_brain: Marker genes estimated from a meta-analysis of brain cell gene expression data from both humans and mice.

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