Dear all, i have a question ,which have bother me for a long time, i have a group of bulk rna-seq data, which were from whole testis , contain control and treated samples, after i was running DEG pipeline , i have got many DEGs ,but when i use IHC to test some of those genes (cell type marker gene ), i found there were significant cell proportion change in different cell types between control and treatment groups ( testes are highly heterogeneous tissue). Are those DEGs represent the proportion change of those different cell types? or the different RNA expression level in specific cell type ? if those "DEGs" were not real DEGs between same cell types, do i have a way to correct the result ? i have exact cell counting of those marked cells, normalized to 1 mm2.
Can you elaborate a bit on this? I.e. how trust-worthy is that assessment?
Some of the genes may well show differential gene expression due to changes in the cell type population frequencies.
Only if you have the full range of population differences represented in both treatment and control conditions. If all of your control samples show the same frequencies and all of your treatment samples have a different cell type distribution then there's no way to correct for, i.e. the population frequencies would be confounded with the actual treatment of interest.
I used TissueFAXS Plus system to scan whole testis section , this technic can count all cell(by scanning cell nucleus which are hematoxylin positive) and specific marker antibody positive cells. I marked three major spermatogenic cell types, which were spermatogonia , spermatocyte and sperm, those cell marker i found were from two single-cell data set published in Development Cell and a paper from Cell Research. What really shock me was that in the treatment group, the absolute number of the three types of cells were decreased and the proportion changed significantly, compared to the control group. So I'm not sure these DEGs were reliable,and the biological meaning of it. For example, i found the expression levels of marker genes in spermatogonia cells were significantly different between the control and treatment groups. Is this due to a change in the proportion of different type of cells or the real spermatogonia transcriptome changes? or both? I have the proportion of major spermatogenic cell types and counting number of them, both in control and treatment group. I dont know if i can correct this mess.