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Garrett, L.

Publications and source records attributed to Garrett, L..

10 recordsLinked to original sources

Disruption of the FGFR1-FGF23-Phosphate Axis and Targeted Therapy in a Murine Model of Osteoglophonic Dysplasia

Osteoglophonic Dysplasia (OGD) is an autosomal dominant skeletal dysplasia characterized by impaired bone growth resulting in short stature, severe craniofacial abnormalities, and in some patients FGF23-mediated hypophosphatemia. It is caused by gain-of-function variants in FGFR1, particularly in or near the transmembrane domain of the receptor. We used CRISPR in mice to knock-in the FGFR1 p.N330I variant, chosen based on its association with FGF23 excess. Skeletal phenotyping of this Fgfr1+/N330I model demonstrated markedly reduced body weight and naso-anal length, shortened long bones, and craniosynostosis, all hallmarks of the human disease. Mutant mice exhibited profound microarchitectural changes in cortical bone and severe disorganization of the growth plate and articular cartilage, driven by decreased cell proliferation and increased apoptosis in skeletal tissues. In addition to osteochondrodysplasia, we noted dramatic increases in plasma FGF23 and hypophosphatemia, driven by upregulated Fgf23 expression and protein levels in bone, with consequent undermineralization. An in vivo ossicle assay allowed longitudinal evaluation of mineral metabolism. We modulated the signaling pathway by repurposing an inhibitor of the overactive receptor, infigratinib, resulting in partial restoration of naso-anal length in treated mutant mice. This first model of OGD offers insights into the disease pathogenesis and open avenues for targeted therapeutic strategies.

molecular biology↗

Loss of the Inv(16) Oncogene CBFB::MYH11 Eliminates Leukemia from the Blood and Spleen, but not the Bone Marrow

Inversion of chromosome 16 [inv(16)] generates the fusion gene CBFB::MYH11 (CM) and is one of the most common chromosomal rearrangements in Acute Myeloid Leukemia (AML). Expression of CM is required for leukemia initiation. Patients with inv(16) at diagnosis invariably have the rearrangement at relapse, leading to the assumption that CM is also required after leukemic transformation. However, a role for CM in leukemia maintenance has yet to be shown experimentally. To address this, we used an inducible CM knockdown (KD) mouse model and found that decreased CM eliminated leukemia cells from the peripheral blood and spleen, but not the bone marrow, despite all populations exhibiting significantly decreased CM mRNA and protein. The surviving CM KD cells in the bone marrow showed decreased apoptosis and proliferation, and increased expression of autophagy related genes. Surprisingly, with prolonged KD of CM, [~]40% of mice re-established disease despite maintaining decreased CM. Our work indicates that CM is required for leukemia survival in the spleen and peripheral blood, but in the bone marrow CM KD leukemia cells can survive and re-establish disease independent of the fusion protein. These findings imply that targeting CM alone has potential to reduce leukemic burden but not cure the disease.

cancer biology↗

genomesizeR: An R package for genome size prediction

The genome size of organisms present in an environment can provide many insights into evolutionary and ecological processes at play in that environment. The genomic revolution has enabled a rapid expansion of our knowledge of genomes in many living organisms, and most of that knowledge is classified and readily available in the databases of the National Center for Biotechnology Information (NCBI). The genomesizeR tool leverages the wealth of taxonomic and genomic information present in NCBI databases to infer the genome size of Archeae, Bacteria, or Eukaryote organisms identified at any taxonomic level. This R package uses statistical modelling on data from the most up-to-date NCBI databases and provides three statistical methods for genome size prediction of a given taxon, or group of taxa. A straightforward weighted mean method identifies the closest taxa with available genome size information in the taxonomic tree, and averages their genome sizes using weights based on taxonomic distance. A frequentist random effect model uses nested genus and family information to output genome size estimates. Finally a third option provides predictions from a distributional Bayesian multilevel model which uses taxonomic information from genus all the way to superkingdom, therefore providing estimates and uncertainty bounds even for under-represented taxa. All three methods use: O_LIA list of queries; a query being a taxon or a list of several taxa. The package was designed to make it easy to use with data coming from environmental DNA experiments, but works with any table of taxa. C_LIO_LIA reference database containing all the known genome sizes, built from the NCBI databases, with associated taxa, provided in an archive to download. C_LIO_LIA taxonomic tree structure as built by the NCBI, provided in the same archive. C_LI genomesizeR retrieves the taxonomic classification of input queries, estimates the genome size of each query, and provides 95% confidence intervals for each estimate.

bioinformatics↗

A humanized knock-in Col6a1 mouse recapitulates a deep-intronic splice-activating variant

Antisense therapeutics such as splice-modulating antisense oligonucleotides (ASOs) are promising tools to treat diseases caused by splice-altering intronic variants. However, their testing in animal models is hampered by the generally poor sequence conservation of the intervening sequences between human and other species. Here we aimed to model in the mouse a recurrent, deep-intronic, splice-activating, COL6A1 variant, associated with a severe form of Collagen VI-related muscular dystrophies (COL6-RDs), for the purpose of testing human-ready antisense therapeutics in vivo. The variant, c.930+189C>T, creates a donor splice site and inserts a 72-nt-long pseudoexon, which, when translated, acts in a dominant-negative manner, but which can be skipped with ASOs. We created a unique humanized mouse allele (designated as "h"), in which a 1.9 kb of the mouse genomic region encoding the amino-terminus (N-) of the triple helical (TH) domain of collagen 1(VI) was swapped for the human orthologous sequence. In addition, we also created an allele that carries the c.930+189C>T variant on the same humanized knock-in sequence (designated as "h+189T"). We show that in both models, the human exons are spliced seamlessly with the mouse exons to generate a chimeric mouse-human collagen 1(VI) protein. In homozygous Col6a1 h+189T/ h+189T mice, the pseudoexon is expressed at levels comparable to those observed in heterozygous patients muscle biopsies. While Col6a1h/h mice do not show any phenotype compared to wild-type animals, Col6a1 h/ h+189T and Col6a1 h+189T/ h+189T mice have smaller muscle masses and display grip strength deficits detectable as early as 4 weeks of age. The pathogenic h+189T humanized knock-in mouse allele thus recapitulates the pathogenic splicing defects seen in patients biopsies and allows testing of human-ready precision antisense therapeutics aimed at skipping the pseudoexon. Given that the COL6A1 N-TH region is a hot-spot for COL6-RD variants, the humanized knock-in mouse model can be utilized as a template to introduce other COL6A1 pathogenic variants. This unique humanized mouse model thus represents a valuable tool for the development of antisense therapeutics for COL6-RDs.

genetics↗

Comparative phenotyping of mice reveals canonical and noncanonical physiological functions of TRα and TRβ

Thyroid hormone (TH) effects are mediated through TH receptors (TRs) TR1, TR{beta}1, and TR{beta}2. The TRs bind to thyroid hormone responsive elements on the DNA and regulate expression of TH target genes as ligand dependent transcription factors (canonical signaling). In addition, the TRs and {beta} mediate activation of signaling pathways, e.g. the PI3K/AKT and MAPK/ERK pathways (noncanonical signaling). Whether such DNA-binding independent TR action contributes to the spectrum of physiological TH effects is largely unknown. The aim of this study was to attribute physiological effects to the two TR isoforms and {beta} and their canonical and noncanonical signaling. We conducted multi-parameter phenotyping in male and female TR knockout mice (TRKO, TR{beta}KO), mice with disrupted canonical signaling due to a mutation in the TR DNA-binding domain (TRGS, TR{beta}GS) and their respective wild-type littermates. Perturbations in senses, especially hearing (mainly TR{beta} with a lesser impact of TR), visual acuity and retinal thickness (TR and TR{beta}), in muscle metabolism (TR) and in heart rate (TR) highlighted the role of canonical TR action. Strikingly, selective abrogation of canonical TR action often had little to no phenotypic consequence, suggesting that noncanonical TR action sufficed to maintain the wild-type phenotype for specific effects. For instance, macrocytic anemia, reduced retinal vascularization or increased anxiety related behavior were only observed in TRKO, but not TRGS mice. Noncanonical TR action increased the efficiency of energy utilization and prevented hyperphagia observed in TRKO mice. In summary, by examining the phenotypes of TR and TR{beta} knockout models alongside their DNA-binding-deficient GS mutants and wildtype counterparts, we could establish that the independent noncanonical actions of TR and TR{beta} play a crucial role in modulating sensory, behavioral, and metabolic functions. This comparison underscores the significance of the TRs in orchestrating a spectrum of physiological processes beyond their traditional genomic pathways.

physiology↗

Deep Phenotyping and Lifetime Trajectories Reveal Limited Effects of Longevity Regulators on the Aging Process in C57BL/6J Mice

Current concepts regarding the biology of aging are based on studies aimed at identifying factors regulating natural lifespan. However, lifespan as a sole proxy measure for aging can be of limited value because it may be restricted by specific sets of pathologies, rather than by general physiological decline. Here, we employed large-scale phenotyping to analyze hundreds of phenotypes and thousands of molecular markers across tissues and organ systems in a single study of aging male C57BL/6J mice. For each phenotype, we established lifetime profiles to determine when age-dependent phenotypic change is first detectable relative to the young adult baseline. We examined central genetic and environmental lifespan regulators (putative anti-aging interventions, PAAIs; the following PAAIs were examined: mTOR loss-of-function, loss-of-function in growth hormone signaling, dietary restriction) for a possible countering of the signs and symptoms of aging. Importantly, in our study design, we included young treated groups of animals, subjected to PAAIs prior to the onset of detectable age-dependent phenotypic change. In parallel to our studies in mice, we assessed genetic variants for their effects on age-sensitive phenotypes in humans. We observed that, surprisingly, many PAAI effects influenced phenotypes long before the onset of detectable age-dependent changes, rather than altering the rate at which these phenotypes developed with age. Accordingly, this subset of PAAI effects does not reflect a targeting of age-dependent phenotypic change. Overall, our findings suggest that comprehensive phenotyping, including the controls built in our study, is critical for the investigation of PAAIs as it facilitates the proper interpretation of the mechanistic mode by which PAAIs influence biological aging. HighlightsO_LIPhenotyping at scale defines lifetime trajectories of age-dependent changes in C57BL/6J mice C_LIO_LICentral genetic and environmental lifespan regulators (putative anti-aging interventions; PAAIs) influence age-sensitive phenotypes (ASPs) often long before the appearance of age-dependent changes in these ASPs C_LIO_LICorresponding genetic variants in humans also have age-independent effects C_LIO_LIMany PAAI effects shift the baseline of ASPs rather than slowing their rate of change C_LI

physiology↗

Soft Windowing Application to Improve Analysis of High-throughput Phenotyping Data

MotivationHigh-throughput phenomic projects generate complex data from small treatment and large control groups that increase the power of the analyses but introduce variation over time. A method is needed to utlize a set of temporally local controls that maximises analytic power while minimising noise from unspecified environmental factors.\n\nResultsHere we introduce \"soft windowing\", a methodological approach that selects a window of time that includes the most appropriate controls for analysis. Using phenotype data from the International Mouse Phenotyping Consortium (IMPC), adaptive windows were applied such that control data collected proximally to mutants were assigned the maximal weight, while data collected earlier or later had less weight. We applied this method to IMPC data and compared the results with those obtained from a standard non-windowed approach. Validation was performed using a resampling approach in which we demonstrate a 10% reduction of false positives from 2.5 million analyses. We applied the method to our production analysis pipeline that establishes genotype-phenotype associations by comparing mutant versus control data. We report an increase of 30% in significant p-values, as well as linkage to 106 versus 99 disease models via phenotype overlap with the soft windowed and non-windowed approaches, respectively, from a set of 2,082 mutant mouse lines. Our method is generalisable and can benefit large-scale human phenomic projects such as the UK Biobank and the All of Us resources.\n\nAvailability and ImplementationThe method is freely available in the R package SmoothWin, available on CRAN http://CRAN.R-project.org/package=SmoothWin.

bioinformatics↗

Hemozoin produced by mammals confers heme tolerance

Free heme is cytotoxic as exemplified by hemolytic diseases and genetic deficiencies in heme recycling and detoxifying pathways. Thus, intracellular accumulation of heme has not been observed in mammalian cells to date. Here we show that mice deficient for the heme transporter HRG1 accumulate over ten-fold excess heme in reticuloendothelial macrophage lysosomes that are 10 to 100 times larger than normal. Macrophages tolerate these high concentrations of heme by polymerizing them into crystalline hemozoin, which heretofore has only been found in blood-feeding parasites. HRG1 deficiency results in impaired erythroid maturation and an inability to systemically respond to iron deficiency. Complete heme tolerance requires a fully-operational heme degradation pathway as haploinsufficiency of HMOX1 combined with HRG1 inactivation causes perinatal lethality demonstrating synthetic lethal interactions between heme transport and degradation. Our studies establish the formation of hemozoin by mammals as a previously unsuspected heme tolerance pathway.

pathology↗

Impaired hematopoiesis and leukemia development in mice with a \"knock-in\" allele of U2af1(S34F)

Mutations affecting the spliceosomal protein U2AF1 are commonly found in myelodysplastic syndromes (MDS) and secondary acute myeloid leukemia (sAML). We have generated mice that carry Cre-dependent \"knock-in\" alleles of U2af1(S34F), the murine version of the most common mutant allele of U2AF1 encountered in human cancers. Cre-mediated recombination in murine hematopoietic lineages caused changes in RNA splicing, as well as multilineage cytopenia, macrocytic anemia, decreased hematopoietic stem and progenitor cells, low-grade dysplasias, and impaired transplantability, but without lifespan shortening or leukemia development. In an attempt to identify U2af1(S34F)-cooperating changes that promote leukemogenesis, we combined U2af1(S34F) with Runx1 deficiency in mice and further treated the mice with a mutagen, N-Ethyl-N-Nitrosourea (ENU). Overall, three of sixteen ENU-treated compound transgenic mice developed AML. However, AML did not arise in mice with other genotypes or without ENU treatment. Sequencing DNA from the three AMLs revealed somatic mutations homologous to those considered to be drivers of human AML, including predicted loss-or gain-of-function mutations in Tet2, Gata2, Idh1, and Ikzfl. However, the engineered U2af1(S34F) missense mutation reverted to wild type (WT) in two of the three AML cases, implying that U2af1(S34F) is dispensable, or even selected against, once leukemia is established.\n\nSIGNIFICANCE STATEMENTSomatic mutations in four splicing factor genes (U2AF1, SRSF2, SF3B1, and ZRSR2) are found in MDS and MDS-related AML, blood cancers with few effective treatment options. However, the pathophysiological effects of these mutations remain poorly characterized, in part due to the paucity of disease-relevant models. Here, we report the establishment of mouse models to study the most common U2AF1 mutation, U2af1(S34F). Production of the mutant protein specifically in the murine hematopoietic compartment disrupts hematopoiesis in ways resembling human MDS. We further identified deletion of the Runx1 gene and other known oncogenic mutations as changes that might collaborate with U2af1(S34F) to give rise to frank AML in mice.

cancer biology↗

Highly-efficient Cpf1-mediated gene targeting in mice following high concentration pronuclear injection

Cpf1 has emerged as an alternative to the Cas9 RNA-guided nuclease. Here we show that gene targeting rates in mice using Cpf1 can meet or even surpass Cas9 targeting rates (approaching 100% targeting) but require higher concentrations of mRNA and guide. We also demonstrate that co-injecting two guides with close targeting sites can result in synergistic genomic cutting, even if one of the guides has minimal cutting activity.

genetics↗