Biology subjects

Fuchs, H.

Publications and source records attributed to Fuchs, H..

At least 19 recordsLinked to original sources

bioRxiv2026

Clonogenic survival and relative biological effectiveness of pancreatic ductal adenocarcinoma under pristine and spread-out Bragg peak irradiation with protons and carbon ions.

Biological effectiveness in ion therapy varies with radiation quality and biological context, yet cancer cell response data acquired under well-characterized physical conditions remain limited. We investigated clonogenic survival and relative biological effectiveness (RBE) in PANC-1 and BxPC-3 pancreatic ductal adenocarcinoma (PDAC) cells irradiated at four positions along pristine 180.1 MeV proton and 352.4 MeV/u carbon ion Bragg curves, with 4 cm spread-out Bragg peak (SOBP) irradiation included as a clinically relevant comparison. Cell plane positioning and dose were verified in a water-tank system using an Advanced Markus ionization chamber, and Monte Carlo simulations using TOPAS provided dose-averaged linear energy transfer (LETD) and microdosimetric quantities. RBE was calculated relative to 200 kVp X-rays using the linear-quadratic survival model. Across the sampled pristine beam positions, spanning LETD values of approximately 1-9 keV/m for protons and 12-163 keV/m for carbon ions, RBE increased with LETD. Proton RBE10 exceeded the conventional clinical value of 1.1 at distal positions, whereas carbon ion RBE10 increased from 2.3 to 5.2 in PANC-1 and from 1.3 to 3.7 in BxPC-3, with larger differences between cell lines observed near the Bragg peak. SOBP measurements showed different biological responses across field conditions despite comparable LETD. These physically characterized survival data provide PDAC-relevant benchmarks for evaluating whether RBE models reproduce biological responses across pristine and SOBP irradiation conditions, supporting the future integration of radiation-quality-dependent effects into ion planning.

cancer biology↗

bioRxiv2026

A proteomic and phosphoproteomic comparison of mouse spermatogonial stem cells and progenitor spermatogonia

In this manuscript, we used an Id4-eGfp mouse line to produce the first proteomic and phosphoproteomic database for mouse spermatogonial stem cells (SSCs) and progenitor spermatogonia. Our proteomic analyses identified 8,464 proteins in spermatogonia, superseding the depth of previously published spermatogonia datasets by >2000 proteins. While the comparison of SSCs and progenitors revealed few unique proteins (18 and 3, respectively), 532 proteins exhibited significantly different abundance (FC {+/-} 1.5, p-value [≤] 0.05) between these sub-populations. Interestingly, in overlaying the proteome with transcriptomic data, correlation was poor (R2 = 0.236), re-iterating discordance between transcript and protein abundance in the testis. In our phosphoproteomic analyses, phosphosites were identified in 19.5% of proteins (3,604 total phosphosites). Unique protein phosphorylation was substantially more common than unique protein expression when comparing SSCs and progenitors, with 38 and 191 unique phosphosites identified, respectively, in addition to significant differences in abundance at 60 and 257 phosphosites. In identifying a wave of phosphorylation that accompanies the progenitor transition, we performed predictive analyses to identify three potential master kinases for follow up validation studies (PAK1, BUB1, ABL2). The inhibition of these kinases resulted in a significant reduction in the capacity for progenitor spermatogonia to differentiate, and caused elevated apoptosis and DNA damage. Finally, we explored the testis phenotype of 42 knockout mouse lines for proteins that were either differentially expressed (26) or differentially phosphorylated (15) in our dataset. Of these lines, 21 exhibited a testis phenotype in at least one of two biological replicates observed (severity score [≥] 1, compared to 0.15 for controls), with increased numbers of Sertoli-only tubules being evident in four of these lines. This manuscript provides a comprehensive roadmap to understand the multifaceted layers of regulation over fate decisions in undifferentiated spermatogonia. These data have been provided in an accessible platform via our ShinySpermatogoniaCells app to encourage future progress in the field.

cell biology↗

bioRxiv2026

Implementing considered elements of standardisation for Time Kill Curve experiments across multiple sites: A European collaboration perspective

SynopsisO_ST_ABSBackgroundC_ST_ABSThe main advantages of Time Kill Curves (TKCs) in antimicrobial drug development are the ability to track bacterial kill and regrowth over time and with varying drug concentrations. Whilst there are guideline documents in place, such as M26-A in CLSI, there remains scope for individual laboratory differences in practice. Here we evaluated several factors which potentially influenced data generated in TKCs. MethodsFirstly, E. coli ATCC 25922 was used to determine optimum sampling volume, culture vessel volume, CFU enumeration variance factors and static versus agitated cultures in a single laboratory. Secondly, a ring test comprising of TKCs was performed by six laboratories focusing on: standardised inoculum, static culture and two culture vessel sizes 10 mL and 200 {micro}L. Data analysis was performed to determine consistency within centres and between them. ResultsConsistently accurate inocula could be achieved by use of: larger sampling volumes between 100 {micro}L > 20 mL; larger culture vessels volumes (10 mL > 100 {micro}L) and higher inocula (10 8 > 1.5x10 5 CFU). Culture agitation during the TKC experiment resulted in reduced killing compared to static cultures. Reproducibility of TKCs was best between centres when they were performed in 10 mL culture vessels. There was more variability per site when performing TKC in 96 well trays. ConclusionsTechnical factors such as preparation of inocula, agitation, vessel size and enumeration of cultures are important variables in performing TKCs that need to be standardised in drug development programmes involving multiple laboratory centres.

microbiology↗

bioRxiv2026

Is there a need to implement standardisation into in vitro antimicrobial evaluation systems? A European collaboration perspective

SynopsisO_ST_ABSBackgroundC_ST_ABSTime kill curve (TKC) assessments are an essential step in the study of an antimicrobials pharmacodynamic characteristics. Surprisingly TKCs have not be formally standardised, therefore there remain concerns that different testing centres/methodologies may produce different results. Six centres participating in Gram-negative-Antibiotics NOW (GNA-NOW) consortium measured a series of TKCs with meropenem against E. coli to establish: Same-day (SD) vs different-day (DD) replication per centre (intra-site), and centre to centre (inter-site) correlations. MethodsMeropenem was tested against three strains of E. coli (ATCC 25922; ESBL producer C1.55; OXA-48 producer C1.62). An inoculum of 1.5x106 CFU was specified with meropenem concentrations of x0, x1 to x16 MIC; and sampling assessment of bacterial density was determined at 0-24h. Experiments were performed in triplicate, aerobically at 37{degrees}C. Centre-specific methodology was collected. Meropenem, media, bacterial strains, were shipped from one central laboratory to participating laboratories. ANOVA and Friedman tests were used to assess SD, DD and between centre replications. ResultsAssessment of the methodologies between centres revealed many differences, including bacterial inoculum, meropenem preparation, volume of TKC vessel, vessel materials, agitation vs static cultures and sampling volumes. Intra-centre SD and DD analysis for all strains were generally associated with P>0.05 suggesting consistency. Inter-centre SD and DD comparisons resulted in P<0.05, indicating variable total bacterial load measurement between centres. ConclusionsTKC methodologies varied between different centres, and while intra-centre comparison of SD and DD were generally consistent, inter-centre comparisons were not. Standardisation of TKC methodologies is required.

microbiology↗

bioRxiv2026

Beyond seed counts: divergent climatic windows shape seed mass and viability in European beech

Mast seeding research has documented climate-driven changes in seed quantity, but tells us little about whether the seeds being counted are physiologically capable of germinating. The widespread practice of treating filled seeds as viable seeds has rarely been tested at scales adequate to detect divergent responses. Using a nationwide, 20-year dataset of 13,349 European beech (Fagus sylvatica L.) seed lots subjected to laboratory viability testing, we show that among filled seeds, mass and viability are only weakly correlated (Spearmans {rho} = 0.15) and respond to entirely different seasonal climatic windows. Viability tracked previous summer and harvest-year spring temperatures, while mass tracked neither yet declined markedly between 2009 and 2019, most steeply at northern latitudes. Pre-harvest climate also left lasting legacy effects on viability during storage. Together, these results reveal two independent dimensions of reproductive quality eroding under contemporary environmental change, invisible to count- or mass-based monitoring.

plant biology↗

bioRxiv2025

The functional maturation of mouse spermatozoa is underpinned by global remodeling of the cellular phosphoproteome

The functional maturation of mammalian spermatozoa is driven by modification of their intrinsic proteome as the cells transit the male (epididymal sperm maturation) and female reproductive tracts (capacitation). Here, high-resolution mass spectrometry was used to interrogate the central role that phosphoproteomic changes play in the functional remodeling of mouse spermatozoa. This strategy identified 14,586 site-specific phosphorylation events, including the phosphorylation of 573 proteins and dephosphorylation of 426 during epididymal maturation and additional phosphorylation changes in 211 proteins linked to capacitation. We identified over 300 kinases that putatively govern these events, including three novel kinases (STK33, HIPK4, and PAK1) implicated in acrosomal exocytosis. The functional relevance of these data was confirmed via the use of knockout mouse models, which demonstrated several phosphoproteins as being essential for sperm motility and fertilization capacity. These findings illustrate that large-scale phosphorylation remodeling occurs during sperm maturation with implications extending to novel means of fertility regulation. HIGHLIGHTSO_LISperm phosphoproteome is dramatically remodeled during post-testicular maturation C_LIO_LIIdentification of >14,000 site-specific phosphorylation events providing comprehensive insight into sperm cell signaling events associated with functional maturation C_LIO_LIMajor changes in the sperm phosphoproteome coincide with epididymal maturation whereas capacitation results in more modest changes C_LIO_LIIdentification of 343 novel kinases potentially important for conferring functional maturity to spermatozoa and demonstrated role for STK33, HIPK4 and PAK1 kinases C_LIO_LIKnockout mouse models of 23 genes provided in vivo validation, with loss of these proteins leading to pronounced defects in sperm motility and fertilization capacity C_LIO_LIAll data is available via our interactive ShinySpermPhospho application - https://reproproteomics.shinyapps.io/ShinySpermPhospho/ C_LI

cell biology↗

bioRxiv2025

Rethinking ratio-based normalization: A guide towards model-based approaches in heart weight analysis

Heart weight is a critical parameter in cardiology and mouse research, reflecting structural and functional changes linked to cardiac size or hypertrophy and pathophysiological conditions. Normalizing heart weight (HW) to body weight (BW) or tibia length (TL) is a common practice; however, the validity of these ratios has been questioned due to non-proportional relationships between parameters, and this becomes particularly problematic when comparing distinct populations based on such normalized values. Using data from over 25,000 C57BL/6N wildtype mice provided by the International Mouse Phenotyping Consortium (IMPC), we investigated the limitations of ratio-based normalization when comparing different groups, aiming to propose a robust framework for HW analysis. Our findings reveal negligible to weak correlations between HW, BW, and TL across age and sex groups, undermining the validity of ratio-based methods. A modelling study using simulated data demonstrated that ratios could produce misleading results, including reversed or false group differences, when scaling assumptions are violated. Ratios yield accurate and interpretable results only when a truly proportional relationship exists between the variables--specifically, when the regression line passes through the origin--conditions under which ratio-based normalization aligns with outcomes obtained from more robust modelling approaches. These results underscore the superiority of linear models with covariate adjustment and allometric scaling for organ weight analysis, as they more accurately capture biologically relevant scaling relationships. By leveraging the IMPCs large-scale wildtype dataset, we establish the necessity of reassessing normalization practices in quantitative biology traits and propose that ratios should be avoided when comparing normalized values across distinct populations unless key mathematical assumptions are met. This study advances the analytical rigor in phenotyping research, enabling more accurate interpretations of organ mass and function across biological contexts.

physiology↗

bioRxiv2025

Establishing Comprehensive Transthoracic Echocardiography Reference Ranges for Mouse Models: Insights into the Impact of Anesthesia, Sex, and Age

Mouse models play a critical role in cardiology research, offering valuable insights into the molecular mechanisms, genetics, and potential treatments for cardiovascular diseases. However, the ability to transfer findings in mice between studies is limited by the absence of standardized protocols and valid reference values for the assessment of normal cardiac function in mice. This study aims to establish comprehensive transthoracic echocardiography (TTE) reference ranges for mice, particularly focusing on C57BL/6N wildtype controls. The study, which includes data from over 15,000 mice through the International Mouse Phenotyping Consortium (IMPC), highlights how variables such as sex, age, body weight, and anesthesia affect TTE parameters. The findings showed that anesthesia is the primary predictor of variability in cardiac function. Isoflurane and tribromoethanol anesthetized mice presented with modified cardiac function compared to conscious mice. Additionally, we observed minimal sex differences in cardiac morphology and function, except for small variations influenced by anesthesia. The effects of aging on cardiac function were modest, characterized by a decrease in heart rate and subtle changes in ventricular dimensions without evidence of pathological remodeling, likely attributable to disease-free cardiovascular aging. Validation of the reference ranges across multiple mouse strains showed that these values provide a reliable baseline for experiments involving cardiac function in mice. The data underscore the importance of using anesthesia-specific reference values when interpreting TTE results, ensuring robust comparisons in genetic and pharmacological studies. These reference ranges serve as quality assurance tools for future cardiac studies in mice, offering insights into typical TTE parameter values, supporting the detection of experimental perturbations, and contributing to more effective translation of findings from mouse to human.

genetics↗

bioRxiv2025

Towards a Kingdom of Reproductive Life - the Core Sperm Proteome

Reproductive biology is often considered in three siloed research areas; humans, agriculture and wildlife. Yet, each demand solutions for treatment of subfertility, fertility biomarkers, development of assisted reproductive technologies and effective contraception. To efficiently develop solutions applicable to all species, we must improve our understanding of the common biology underpinning reproductive processes. Accordingly, we integrate proteomic data from 29 publicly available datasets (>2 TB of data) to characterize mature sperm proteomes spanning 12 vertebrate species, identifying 13,853 proteins. Although human and mouse have relatively well-annotated sperm proteomes, many non-model species rely heavily on predicted or homology-inferred identifications. Despite variation in proteome size, composition and reproductive strategies, comparative analyses revealed that vertebrates share a fundamental molecular framework essential for sperm function. A core set of 45 species-level and 135 order-level conserved proteins mapped to critical processes, including energy generation, acrosome function, as well as novel signalling pathways (BAG2 and FAT10). Knockout mouse models further validate the significance of these conserved proteins, demonstrating that their disruption impairs sperm motility and fertilization capacity. Moreover, we discovered loss-of-function variants of two additional core sperm proteins in clinical samples, linking them to severe sperm defects. Intriguingly, in-silico analysis reveals function-driven, context-dependent diversity surpassing evolutionary patterns. Collectively, these results highlight the value of integrating publicly available datasets and underscore the need for improved genome/proteome annotation in non-model species in mammals. This work provides a foundation for developing cross-species strategies to enhance fertility treatments, assisted reproductive technologies, and conservation efforts. All data is available via ShinySpermKingdom (https://reproproteomics.shinyapps.io/ShinySpermKingdom/). IN BRIEFSperm function is essential for fertility across humans, agriculture, and wildlife, yet comparative studies remain limited. This study integrates multi-species proteomic data to identify a core sperm proteome, uncovering conserved molecular pathways and validating novel sperm proteins critical for motility and fertilization.

cell biology↗

bioRxiv2024

Characterization of liver-pancreas crosstalk following beta-cell loss reveals a role for the molybdenum cofactor in beta-cell regeneration

Regeneration of insulin-producing {beta}-cells is an alternative avenue to manage diabetes, and it is crucial to unravel this process in vivo during physiological responses to the lack of {beta}-cells. Here, we aimed to characterize how hepatocytes can contribute to {beta}-cell regeneration in a zebrafish model of {beta}-cell ablation. Using lineage-tracing, we show that hepatocytes do not directly convert into {beta}-cells even under extreme {beta}-cell ablation conditions. A transcriptomics analysis of isolated hepatocytes following {beta}-cell ablation displayed altered lipid- and glucose-related processes. Based on the transcriptomics, we performed a genetic screen that uncovers a potential role for the molybdenum cofactor (Moco) biosynthetic pathway in {beta}-cell regeneration and glucose metabolism in zebrafish. Consistently, Mocs2 haploinsufficiency in mice indicated dysregulated glucose metabolism and liver function. Together, our study sheds light on the liver-pancreas crosstalk and suggests that the molybdenum cofactor biosynthesis pathway should be further studied in relation to glucose metabolism and diabetes.

developmental biology↗

bioRxiv2024

A heterogenous pharmaco-transcriptomic landscape induced by targeting a single oncogenic kinase

Over-activation of the epidermal growth factor receptor (EGFR) is a hallmark of glioblastoma. However, EGFR-targeted therapies have led to minimal clinical response. While delivery of EGFR inhibitors (EGFRis) to the brain constitutes a major challenge, how additional drug-specific features alter efficacy remains poorly understood. We introduce SCHEMATIC, which integrates multiplex single-cell chemical transcriptomics with deep-generative classification to resolve chemotype-specific and shared programs and apply it to to define the molecular response of glioblastoma to EGFRis. We identify programs that differ by the chemical properties of EGFRis, including induction of adaptive transcription and modulation of immunogenic gene expression. We find that induction of an adaptive transcriptional program is associated with persistence of surviving cells after EGFR inhibition, and that concurrent EGFR/PI3K inhibition attenuates this program. We also find that pro-immunogenic expression changes associated with a subset of tyrphostin-family EGFR inhibitors are accompanied by enhanced antigen-specific cytotoxic T-cell killing in vitro. Our study provides a framework that considers each agents unique and often unknown poly-pharmacology to prioritize compounds pre-clinically that induce favorable molecular responses.

genomics↗

bioRxiv2024

Early body weight gain in TALLYHO/JngJ mice predicts adult diabetic phenotype, mimicking childhood obesity

Childhood obesity and type 2 diabetes are two emerging health issues worldwide. To analyze their underlying causes and develop prevention strategies, mouse models are urgently needed. We present novel insights into the polygenic TALLYHO/JngJ mouse model for diabetes. By precisely analyzing our original phenotypic data, we discovered that body weight at weaning age is the main predictor of the adult phenotype in TALLYHO/JngJ mice. The higher the weaning weight of male mice, the more likely they are to develop diabetes later in life. In contrast, a low weaning weight protected against the development of the diabetic phenotype in adults. In females, we found that high weaning body weights led to a constant higher body weight throughout life. We also showed that specifically the suckling period, rather than the in utero period, is crucial for the development of the metabolic phenotype in later life. We observed an earlier onset of diabetes when the mice had higher body weights at weaning, aligning with metabolic histories observed in humans. Therefore, we recommend TALLYHO/JngJ mice as a model to investigate childhood obesity and to develop prevention strategies. HighlightsO_LIThe polygenic TALLYHO/JngJ mouse model is used to investigate type 2 diabetes, but the penetrance of the phenotype is highly variable. C_LIO_LIWe deeply analyzed our phenotype data and find that body weight at the age of weaning (BWW) is the main predictor for the obese and diabetic phenotype in TALLYHO/JngJ male mice later in life. C_LIO_LIWe suggest that TALLYHO/JngJ male mice are an excellent and urgently needed model to study childhood obesity. C_LIO_LIOur data help the relevant scientific community to better control the penetrance of the diabetic phenotype in male TALLYHO/JngJ mice. C_LI

physiology↗

bioRxiv2023

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↗

bioRxiv2023

Canonical and noncanonical contribution of thyroid hormone receptor isoforms alpha and beta to cardiac hypertrophy and heart rate in male mice

BackgroundStimulation of ventricular hypertrophy and heart rate are two major cardiac effects of thyroid hormone (TH). Aim of this study was to determine in vivo which TH receptor (TR), or {beta}, and which mode of TR action, canonical gene expression or DNA-binding independent noncanonical action, mediate these effects. Material and methodsWe compared global TR and TR{beta} knockout mice (TRKO; TR{beta}KO) with WT mice to determine the TR isoform responsible for T3 effects. The relevance of TR DNA- binding was studied in mice with a mutation in the DNA-binding domain that selectively abrogates DNA binding and canonical TR action (TRGS; TR{beta}GS). Hearts were studied with echocardiography at baseline and after seven weeks T3-treatment. Gene expression was measured with real-time PCR. Heart rate was recorded with radiotelemetry transmitters for seven weeks in untreated, hypothyroid and T3-treated mice. ResultsT3 induced ventricular hypertrophy in WT and TR{beta}KO mice, but not in TRKO mice. Hypertrophy was also induced in TRGS mice. Thus, hypertrophy is mostly mediated by noncanonical TR action. Similarly, repression of Mhy7 occurred in WT and TRGS mice. Basal heart rate was largely dependent on canonical TR action. But responsiveness to hypothyroidism and T3-treatment as well as expression of pacemaker gene Hcn2 were still preserved in TRKO mice, demonstrating that TR{beta} could compensate for absence of TR. ConclusionT3-induced cardiac hypertrophy could be attributed to noncanonical TR action, whereas heart rate regulation was mediated by canonical TR action. TR{beta} could substitute for canonical, but not noncanonical TR action.

physiology↗

bioRxiv2023

TRPS1 maintains luminal progenitors in the mammary gland by repressing SRF/MRTF activity

The transcription factor TRPS1 is a context-dependent oncogene in breast cancer [1] [2] [3] [4] [5]. In the mammary gland, TRPS1 activity is restricted to the luminal population and is critical during puberty and pregnancy [2]. Its function in the resting state remains however unclear. To evaluate whether it could be a target for cancer therapy, we investigated TRPS1 function in the healthy adult mammary gland using a conditional ubiquitous depletion mouse model where long-term depletion does not affect fitness. We show that TRPS1 activity is essential to maintain a functional luminal progenitor compartment. This requires the repression of both YAP/TAZ and SRF/MRTF activities, TRPS1 represses SRF/MRTF activity indirectly by modulating RhoA activity. Our work uncovers a hitherto undisclosed function of TRPS1 in luminal progenitors intrinsically linked to mechanotransduction in the mammary gland. It also provides new insights into the oncogenic functions of TRPS1 as luminal progenitors are likely the cells of origin of many breast cancers. Significance statementThe transcription factor TRPS1 is a context-dependent oncogene in breast cancer. It is unclear how TRPS1 contributes to cancer development and whether it could be a target for therapy. Here we established a mouse model mimicking the systemic effect of TRPS1 drug targeting. With this model, we can show that TRPS1 depletion does not impact the fitness of the animals and that the role of TRPS1 is to maintain a functional luminal progenitor pool in the mammary gland. Mechanistically, TRPS1 represses a mechano-transduction program preventing their commitment to an alveolar fate. Because there is growing evidence that breast cancer originates from the expansion of altered luminal progenitors, our work provides valuable insights into the understanding of breast cancer initiation.

cell biology↗

bioRxiv2022

New C3H KitN824K/WT cancer mouse model develops late-onset malignant mammary tumors with high penetrance

Gastro-intestinal stromal tumors and acute myeloid leukemia induced by activating stem cell factor receptor tyrosine kinase (KIT) mutations are highly malignant. Less clear is the role of KIT-mutations in the context of breast cancer. Treatment success of KIT-induced cancers is still unsatisfactory because of primary or secondary resistance to therapy. Mouse models offer essential platforms for studies on molecular disease mechanisms in basic cancer research. In the course of the Munich N-ethyl-N-nitrosourea (ENU) mutagenesis program a mouse line with inherited polycythemia was established. It carries a base-pair exchange in the Kit gene leading to an amino acid exchange at position 824 in the activation loop of KIT. This KIT-variant corresponds to the N822K mutation found in human cancers, which is associated with imatinib-resistance. C3H KitN824K/WT mice develop hyperplasia of interstitial cells of Cajal and retention of ingesta in the cecum. In contrast to previous KIT-mutant models, we observe a benign course of gastrointestinal pathology associated with prolonged survival. Female mutants develop mammary carcinomas at late onset and subsequent lung metastasis. The disease model complements existing oncology research platforms. It allows for addressing the role of KIT mutations in breast cancer and identifying genetic and environmental modifiers of disease progression.

cancer biology↗

bioRxiv2022

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↗

bioRxiv2021

Insights into energy balance dysregulation from a mouse model of methylmalonic aciduria

Inherited disorders of mitochondrial metabolism, including isolated methylmalonic aciduria (MMAuria), present unique challenges to energetic homeostasis by disrupting energy producing pathways. To better understand global responses to energy shortage, we investigated a hemizygous mouse model of methylmalonyl-CoA mutase (Mmut) type MMAuria. We found Mmut mutant mice to have reduced appetite, energy expenditure and body mass compared to littermate controls, along with a relative reduction in lean mass but increase in fat mass. Brown adipose tissue showed a process of whitening, in line with lower body surface temperature and lesser ability to cope with cold challenge. Mutant mice had dysregulated plasma glucose, delayed glucose clearance and a lesser ability to regulate energy sources when switching from the fed to fasted state, while liver investigations indicated metabolite accumulation and altered expression of peroxisome proliferator-activated receptor and Fgf21-controlled pathways. Together, these indicate hypometabolism, energetic inflexibility and increased stores at the expense of active tissue as energy shortage consequences.

physiology↗