When evolution leads to differences in body size, organs generally scale along. A well-known example of the tight relationship between organ and body size is the scaling of mammalian molar teeth. To investigate how teeth scale during development and evolution, we compared molar development from initiation through final size in the mouse and the rat. Whereas the linear dimensions of the rat molars are twice that of the mouse molars, their shapes are largely the same. Here, we focus on the first lower molars that are considered the most reliable dental proxy for size-related patterns due to their low within-species variability. We found that scaling of the molars starts early, and that the rat molar is patterned equally as fast but in a larger size than the mouse molar. Using transcriptomics, we discovered that a known regulator of body size, insulin-like growth factor 1 (), is more highly expressed in the rat molars compared to the mouse molars. Ex vivo and in vivo mouse models demonstrated that modulation of the IGF pathway reproduces several aspects of the observed scaling process. Furthermore, analysis of IGF1-treated mouse molars and computational modeling indicate that IGF signaling scales teeth by simultaneously enhancing growth and by inhibiting the cusp-patterning program, thereby providing a relatively simple mechanism for scaling teeth during development and evolution. Finally, comparative data from shrews to elephants suggest that this scaling mechanism regulates the minimum tooth size possible, as well as the patterning potential of large teeth.
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http://dx.doi.org/10.1073/pnas.2300374120 | DOI Listing |
J Chem Phys
January 2025
Department of Applied Physics, Aalto University, P.O. Box 11000, FI-00076 Aalto, Finland.
Active learning (AL) has shown promise to be a particularly data-efficient machine learning approach. Yet, its performance depends on the application, and it is not clear when AL practitioners can expect computational savings. Here, we carry out a systematic AL performance assessment for three diverse molecular datasets and two common scientific tasks: compiling compact, informative datasets and targeted molecular searches.
View Article and Find Full Text PDFDevelopment
January 2025
Department of Genetics, University of Cambridge, Cambridge, CB2 3EH, UK.
Early embryos display a remarkable ability to regulate tissue patterning in response to changes in tissue size. However, it is not clear whether this ability continues into post-gastrulation stages. Here, we performed targeted removal of dorsal progenitors in the zebrafish tailbud using multiphoton ablation.
View Article and Find Full Text PDFEnviron Sci Technol
January 2025
School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China.
Diquat (DQ), a contact herbicide extensively utilized in both agricultural and nonagricultural domains, exhibits a high correlation with neuronal disorders. Nevertheless, the toxicity and underlying mechanisms associated with exposure to environmental concentrations of DQ remain ambiguous. Here, we report dose-dependent cellular neurotoxicity of DQ in .
View Article and Find Full Text PDFFront Public Health
January 2025
Department of Physical Education, Anhui University of Technology, Ma'anshan, China.
Objective: This study aimed to investigate the impact of underweight, overweight, and obesity on the growth and development of preschoolers by comparing body shape characteristics across different weight statuses.
Methods: A total of 729 preschoolers (5.2 ± 0.
Asia Ocean J Nucl Med Biol
January 2025
Department of Radiology, Faculty of Medicine, Shimane University, Izumo, Japan.
Objectives: We investigated image quality and standardized uptake values (SUVs) for different lesion sizes using clinical data generated by F-FDG-prone breast silicon photomultiplier (SiPM)-based positron emission tomography/computed tomography (PET/CT).
Methods: We evaluated the effect of point-spread function (PSF) modeling and Gaussian filtering (Gau) and determined the optimal reconstruction conditions. We compared the signal-to-noise ratio (SNR), contrast, %coefficient of variation (%CV), SUV, and Likert scale score between ordered-subset expectation maximization (OSEM) time-of-flight (TOF) and OSEM+TOF+PSF in phantom and clinical studies.
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