GSE129240
Complete deconvolution of cellular mixtures based on linearity of transcriptional signatures
Difference in RNA content of different cell types introduces bias to gene expression deconvolution methods. If ERCC spike-ins are introduced into samples, predicted proportions of deconvolution methods can be corrected Overall design: Two cell types of distinctly different sizes and RNA per cell content: HEK cells and Jurkat cells were mixed in different proportions ensuring that each mixture contained total of one million cells. We sequenced RNA of the samples (including ERCC spike-in controls to 382 be able to control for the absolute RNA-concentration).