The Collaborative Cross Consortium reports here on the development of a unique genetic resource population. The Collaborative Cross (CC) is a multiparental recombinant inbred panel derived from eight laboratory mouse inbred strains. Breeding of the CC lines was initiated at multiple international sites using mice from The Jackson Laboratory. Currently, this innovative project is breeding independent CC lines at the University of North Carolina (UNC), at Tel Aviv University (TAU), and at Geniad in Western Australia (GND). These institutions aim to make publicly available the completed CC lines and their genotypes and sequence information. We genotyped, and report here, results from 458 extant lines from UNC, TAU, and GND using a custom genotyping array with 7500 SNPs designed to be maximally informative in the CC and used a novel algorithm to infer inherited haplotypes directly from hybridization intensity patterns. We identified lines with breeding errors and cousin lines generated by splitting incipient lines into two or more cousin lines at early generations of inbreeding. We then characterized the genome architecture of 350 genetically independent CC lines. Results showed that founder haplotypes are inherited at the expected frequency, although we also consistently observed highly significant transmission ratio distortion at specific loci across all three populations. On chromosome 2, there is significant overrepresentation of WSB/EiJ alleles, and on chromosome X, there is a large deficit of CC lines with CAST/EiJ alleles. Linkage disequilibrium decays as expected and we saw no evidence of gametic disequilibrium in the CC population as a whole or in random subsets of the population. Gametic equilibrium in the CC population is in marked contrast to the gametic disequilibrium present in a large panel of classical inbred strains. Finally, we discuss access to the CC population and to the associated raw data describing the genetic structure of individual lines. Integration of rich phenotypic and genomic data over time and across a wide variety of fields will be vital to delivering on one of the key attributes of the CC, a common genetic reference platform for identifying causative variants and genetic networks determining traits in mammals.

Summary Hutchinson-Gilford progeria syndrome (HGPS) is typically caused by a dominant-negative C•G-to-T•A mutation (c.1824 C>T, G608G) in LMNA , the nuclear lamin A gene. This mutation causes RNA mis-splicing that produces progerin, a toxic protein that induces rapid aging and shortens lifespan to ~14 years 1 – 4 . Adenine base editors (ABEs) perform targeted A•T-to-G•C base pair conversion with minimal byproducts and without requiring double-strand DNA breaks or donor DNA templates 5 , 6 . Here, we describe the use of an ABE to directly correct the pathogenic HGPS mutation in cultured progeria patient-derived fibroblasts and in a mouse model of HGPS. Lentiviral delivery of ABE to patient-derived fibroblasts results in ~90% correction of the pathogenic allele, mitigation of RNA mis-splicing, reduced progerin levels, and correction of nuclear abnormalities. Unbiased off-target DNA and RNA analysis did not detect off-target editing activity in treated patient-derived fibroblasts. In transgenic mice homozygous for the human LMNA c.1824 C>T allele, a single retro-orbital injection of adeno-associated virus 9 (AAV9) encoding the ABE resulted in substantial, durable correction of the pathogenic mutation (~20-60% across various organs 6 months post-injection), restoration of normal RNA splicing, and reduction of progerin protein. In vivo base editing rescued vascular pathology, preserving vascular smooth muscle cell counts and preventing adventitial fibrosis. A single ABE AAV9 injection at P14 improved animal vitality and greatly extended median lifespan from 215 to 510 days. These findings support the potential of in vivo base editing to treat HGPS, and other genetic diseases, by directly correcting the root cause of disease.

The authors note that the description of the dosing of farnesyltransferase inhibitor (FTI) tipifarnib was incorrect. The article states that the drug was delivered in mg/kg of mouse total body weight. However, the actual study design was based on the concentration of the FTI drug in the diet (mg of FTI mixed in 1 kg of transgenic mouse dough). This dosing protocol was based on prior pharmacokinetic data, and the biomarker data included in the paper shows the desired drug effects were achieved. This error does not affect the conclusions of the article.www.pnas.org/cgi

Identification of protein-protein interactions is a major goal of biological research. Despite technical advances over the last two decades, important but still largely unsolved challenges include the high-throughput detection of interactions directly from primary tissue and the identification of interactors of insoluble proteins that form higher-order structures. We have developed a novel, proximity-based labeling approach that uses antibodies to guide biotin deposition onto adjacent proteins in fixed cells and primary tissues. We showed our method to be specific and sensitive by labeling a mitochondrial matrix protein. Next, we used this method to profile the dynamic interactome of lamin A/C in multiple cell and tissue types under various treatment conditions. The ability to detect proximal proteins and putative interactors in intact tissues, and to quantify changes caused by different conditions or in the presence of disease mutations, can provide a new window into cell biology and disease pathogenesis.