I am working on rare diseases, therefore I have a very limited number of samples. The study that I am working on now has 2 samples. Sample 1 comes from a child with the disease and Sample 2 is from the father of the child and he has healthy. The setup is explained in detail below:
Dataset: RNA-seq data from 2 samples
- Sample 1: child, diseased, RNA-seq data is from peripheral blood lymphocytes
- Sample 2: father, healthy, RNA-seq data is from peripheral blood endothelial cells
I have completed the differential gene expression analysis and obtained differentially expressed gene list (DEGs). Because of lack of samples, I have to use Sample 2 as the control of Sample 1. I try to decrease the variance as much as possible. Therefore, I would like to find endothelial cell-specific genes and lymphocyte-specific genes to extract them from DEGs.
Is there a database giving a list of cell-type specific genes? Or could you suggest me an alternative solution?