Biology subjects

da Silva-Buttkus, P.

Publications and source records attributed to da Silva-Buttkus, P..

5 recordsLinked to original sources

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↗

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

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↗

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↗