Application of a RiboTag-based approach to generate and analyze mRNA from enteric neural cells

Background Transcriptional profiling of specific intestinal cell populations under health and disease is generally based on traditional sorting approaches followed by gene expression analysis. Therein, specific cell populations are identified either by expressing reporter genes under a cell type-specific promotor or by specific surface antigens. This method provides adequate results for blood-derived and tissue-resident immune cells. However, in stromal cell analysis, cellular stress due to digestion often results in degraded RNA. Particularly, ramified cells integrated into the tissue, such as enteric neurons and glial cells, suffer from these procedures. These cell types are involved in various intestinal processes, including a prominent immune-regulatory role, which requires suitable approaches to generate cell-specific transcriptional profiles. Methods Sox10(iCreERT2) and choline acetyltransferase (ChAT(Cre)) mice were crossed with mice labeling the ribosomal Rpl22 protein upon Cre activity with a hemagglutinin tag (Rpl22-HA, termed RiboTag). This approach enabled cellular targeting of enteric glia and neurons and the immediate isolation of cell-specific mRNA from tissue lysates without the need for cell sorting. Key results We verified the specific expression of Rpl22-HA in enteric glia and neurons and provided gene expression data demonstrating a successful enrichment of either Sox-10(+) glial or ChAT(+) neuronal mRNAs by the RiboTag-mRNA procedure using qPCR and RNA-Seq analysis. Conclusions and inferences We present a robust and selective protocol that allows the generation of cell type-specific transcriptional in vivo snapshots of distinct enteric cell populations that will be especially useful for various intestinal disease models involving peripheral neural cells. Funding Agencies|Cluster of Excellence - ImmunoSensation2 [EXC2151-190873048]; Deutsche ForschungsgemeinschaftGerman Research Foundation (DFG) [388159768, WE4205/3-1]