Journal of Biological ChemistryGenomicsPeer-reviewed journal article
Functional transcriptomics in diverse intestinal epithelial cell types reveals robust gut microbial sensitivity of microRNAs in intestinal stem cells
Bailey C. E. PeckiD, Amanda T. MahiD, Wendy A. Pitman, Shengli DingiD, P. Kay Lund, Praveen SethupathyiD
Abstract
Gut microbiota play an important role in regulating the development of the host immune system, metabolic rate, and at times, disease pathogenesis. The factors and mechanisms that mediate communication between microbiota and the intestinal epithelium are poorly understood. We provide novel evidence that microbiota may control intestinal epithelial stem cell (IESC) proliferation in part through microRNAs (miRNAs). We demonstrate that miRNA profiles differ dramatically across functionally distinct cell types of the mouse jejunal intestinal epithelium and that miRNAs respond to microbiota in a highly cell-type specific manner. Importantly, we also show that miRNAs in IESCs are more prominently regulated by microbiota compared to miRNAs in any other intestinal epithelial cell (IEC) subtype. We identify miR-375 as one miRNA that is significantly suppressed by the presence of microbiota in IESCs. Using a novel method to knockdown gene and miRNA expression ex vivo enteroids, we demonstrate that we can knockdown gene expression in Lgr5+ IESCs. Furthermore, when we knockdown miR-375 in IESCs, we observe significantly increased proliferative capacity. Understanding the mechanisms by which microbiota regulate miRNA expression in IESCs and other IEC subtypes will elucidate a critical molecular network that controls intestinal homeostasis and, given the heightened interest in miRNA-based therapies, may offer novel therapeutic strategies in the treatment of gastrointestinal diseases associated with altered IESC function.
- organism: mouse
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: drug response / drug discovery
- approach: experimental assay
- Citations
- 133
- FWCI
- 4.68
- Field percentile
- top 3%
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