Simonett, S. | bioRxiv Science

bioRxiv2022

Genetic variation in mouse islet Ca2+ oscillations reveals novel regulators of islet function

Insufficient insulin secretion to meet metabolic demand results in diabetes. The intracellular flux of Ca2+ into {beta}-cells triggers insulin release. Since genetics strongly influences variation in islet secretory responses, we surveyed islet Ca2+ dynamics in eight genetically diverse mouse strains. We found high strain variation in response to four conditions: 1) 8 mM glucose; 2) 8 mM glucose plus amino acids; 3) 8 mM glucose, amino acids, plus 10 nM GIP; and 4) 2 mM glucose. These stimuli interrogate {beta}-cell function, -cell to {beta}-cell signaling, and incretin responses. We then correlated components of the Ca2+ waveforms to islet protein abundances in the same strains used for the Ca2+ measurements. To focus on proteins relevant to human islet function, we identified human orthologues of correlated mouse proteins that are proximal to glycemic-associated SNPs in human GWAS. Several orthologues have previously been shown to regulate insulin secretion (e.g. ABCC8, PCSK1, and GCK), supporting our mouse-to-human integration as a discovery platform. By integrating these data, we nominated novel regulators of islet Ca2+ oscillations and insulin secretion with potential relevance for human islet function. We also provide a resource for identifying appropriate mouse strains in which to study these regulators.

biochemistry↗

bioRxiv2022

A protocol for locating and counting transgenic sequences from laboratory animals using a map-then-capture (MapCap) sequencing workflow: procedure and application of results.

Transgenic rodent models for human diseases have been widely used over the past 50 years and are a mainstay of many biomedical research programs. Oftentimes the sequence of the transgenic segment of DNA is carefully designed but incorporation of this DNA into the host genome is less well understood. Structural variation and insertional mutagenesis may occur at transgenic insertion sites. Here, we present a robust workflow including identification of the transgene locus via selective Illumina sequencing followed by Cas9-mediated target DNA enrichment of the locus, which successfully identified beginning and end sites of a large transgenic insertion into a murine model for human amylin-induced type II diabetes. Enriched sequences were mapped via Oxford Nanopore sequencing. Although the insertion was too long for a single mapped genetic sequence to encompass, the method provided multiple insights relevant to the animal model: a minimum number of forward- and reverse-facing transcript copies as well as characterization of an inversion point within the insertion site. The insertion start point containing both murine and human DNA was used to identify and separate animals hemizygous for the transgenic insertion from homozygous animals. This identification could be performed early in the rodent life cycle prior to maturation (i.e. breeding age), thus allowing for management of colony phenotypes and eliminating the need to "genotype by phenotype" later on (onset of amylin-induced type II diabetes does not occur until ~8-10 weeks of age for this model). We further confirmed our homozygous diabetic mice function the same as colonies established in other labs and present full antibody and fluorescent-staining protocols (available in SI). Lastly, we note that, due to our genotyping, a novel animal was identified within our colony: non-diabetic homozygous mice. Indeed, only 37% of homozygous mice bred in our colony became diabetic. AUTHOR SUMMARY (for broad audience)Transgenic rodent models are important to studying human diseases. When creating a new rodent model, one may insert new DNA into a well-characterized background genome. However, it is oftentimes not known where the new DNA was incorporated, how many times it was incorporated, or if any coding sequences or regulatory elements within native DNA were disrupted. Here, we have developed a method to characterize transgenic animals, and have applied it to a popular model for studying human amylin-induced type II diabetes.

genetics↗