The pancreatic islets of Langerhans are critical for the management of glucose tolerance throughout the lifespan. Failure to properly tune blood glucose levels via the glucose-lowering hormone, insulin, or the glucose-raising hormone, glucagon results in Diabetes Mellitus1. Modifiable risk factors to minimize diabetes risk include exercise and diet. In addition, it is becoming clear that maternal diet during pregnancy also has an effect on offspring susceptibility to diabetes in adulthood2,3. Thus, methods are needed to analyze the effects of maternal diet and other exposures, such as medications used during pregnancy, on the insulin-producing beta cells in model organisms during development. For example, islets from fetal non-human primate (NHP) offspring can be evaluated for the effects of developmental exposures. Similar to humans, NHPs typically have singleton births and vary in their physiological response to Western-style diet feeding4. While the gestation and fetal development of NHPs shares many similarities with humans, making them a highly relevant species for metabolic programming studies, challenges to performing comparative bioinformatic assays on NHP offspring include a restricted mating season and intermittent sample collection. Therefore, approaches that allow for long-term storage prior to sample processing and analysis are ideal. This protocol describes the preparation of samples for single nucleus RNA-sequencing, ATAC-sequencing, and bulk cytoplasmic metabolomics.
Studies by others in the islet biology field have demonstrated overlap in the genetic signatures observed in samples prepared via single-cell RNA Sequencing and single-nucleus RNA sequencing5,6. Both methods allow for the identification of transcripts that contribute to distinguishing features amongst various cell types within the islet population. Through the use of gentle detergents on flash-frozen tissue, intact nuclei can simultaneously be used for ATAC sequencing, which allows for the determination of accessible chromatin regions. Combining single-nucleus RNA-sequencing with ATAC-sequencing allows for better characterization of gene regulatory networks7.
The preparation of samples for metabolomics has traditionally been limited by the need for a high sample volume input for liquid chromatography. In addition, careful consideration must be given to the buffers used during sample preparation to avoid false NMR peaks in mass spectrometric data. Given the low number of samples that are challenging and costly to acquire in primate studies, allocation of islets from different offspring toward transcriptomic versus metabolomic experiments can be difficult. Thus, this protocol makes use of the normally discarded cytosolic fraction generated during cellular fractionation for single-nucleus experiments. This method allows for the simultaneous characterization of transcripts and open chromatin regions that define cellular subsets in fetal islets while quantitatively measuring the metabolites produced within islets (Figure 1). This protocol is adapted from a demonstrated protocol published by 10x genomics for the isolation of nuclei from flash-frozen embryonic mouse brain tissue (version CG000366 Rev D8)7.