Investigation of the usefulness of liver-specific deconvolution method toward legacy data utilization
Deconvolution is a methodology for estimating the immune cell proportions from the transcriptome. It is mainly applied to blood-derived samples and tumor tissues. However, the influence of tissue-specific modeling on the estimation results has rarely been investigated. In this study, we constructed a system to evaluate the performance of the deconvolution method on liver transcriptome data. Correspondence: Tadahaya Mizuno Overall design: To evaluate and optimize the reference-based deconvolution method against liver tissue samples, RNA-seq analysis was performed on a total of 57 samples extracted from various mouse liver injury models.