BioProject

Purpose: The goal of this study is to compare the taste bud transcriptome of fasted and fed mice. More...

Purpose: The goal of this study is to compare the taste bud transcriptome of fasted and fed mice. By doing this we hope to gain more information about the taste bud transcriptome as well as determine transcriptional changes that may be linked with pre or post-ingestive states. Methods: Whole taste bud mRNA profiles of WT adult C57BL/6J mice were generated by Illumina HiSeq 2000 single end RNA sequencing. Prior to taste bud RNA isolation, mice were either food-deprived, fed, or given ad libitum access to standard rodent chow as a control. Sequence read quality was assesed using FastQC, and adapter sequences were trimmed using trimmomatic. Reads were then aligned to the GRCm38.p4 reference genome using Tophat2 followed by Cufflinks analysis, then gene level differential expression was conducted using Cuffdiff, and visualized via cummeRbund. Gene enrichment analysis of differentially expressed genes was performed using DAVID and Panther Gene Ontology. Results: We mapped about 30 million sequence reads per sample to the mouse genome, build GRCm38.p4, and identified 144 differentially expressed genes (FDR of 5%) between the taste buds of food-restricted, fed, and ad libitum control mice. Gene enrichment analysis of differentially expressed genes showed enrichment of pathways associated with cytokines, immunity, cytoskeletal structure, chaperone proteins, and protease inhibitors. Conclusions: Our study represents a detailed analysis of the murine taste bud transcriptome generated using RNA-seq technology. Our results highlight cellular pathways that may be differentially regulated in taste receptor cells during different pre/post-ingestive states. Additionally, as limited transcriptome information is available for taste buds, this dataset can serve as a resource for the discovery of genes novel to the taste bud. Overall design: Whole taste bud mRNA profiles of 20-24 week old WT C57B/6J (fed, fasted, or ad libitum fed) were generated by RNA sequencing using Illumina HiSeq 2000. Less...