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We report the existence of deterministic patterns in statistical plots of single-cell transcriptomic data. We develop a theory showing that the patterns are neither artifacts introduced by the measurement process nor due to underlying biological mechanisms. Rather they naturally emerge from finite sample size effects. The theory precisely predicts the patterns in data from multiplexed error-robust fluorescence in situ hybridization and five different types of single-cell sequencing platforms.
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http://dx.doi.org/10.1038/s41540-025-00490-5 | DOI Listing |
PLoS One
September 2025
Instituto de Ensino e Pesquisa, Hospital Sírio-Libanês, São Paulo, São Paulo, Brazil.
Background: Reinfections with SARS-CoV-2 have gained increasing relevance in the context of emerging immune-evasive variants and waning population immunity. Understanding their frequency and distribution is essential to guide public health strategies, particularly in middle-income countries. This study investigates the epidemiological patterns of SARS-CoV-2 reinfections in Espírito Santo, Brazil, using integrated notification and vaccination databases.
View Article and Find Full Text PDFFront Comput Neurosci
August 2025
Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States.
Artificial neural networks are limited in the number of patterns that they can store and accurately recall, with capacity constraints arising from factors such as network size, architectural structure, pattern sparsity, and pattern dissimilarity. Exceeding these limits leads to recall errors, eventually leading to catastrophic forgetting, which is a major challenge in continual learning. In this study, we characterize the theoretical maximum memory capacity of single-layer feedforward networks as a function of these parameters.
View Article and Find Full Text PDFCogn Neurodyn
December 2025
NeuroHeuristic Research Group, University of Lausanne, UNIL Chamberonne Internef 138.1, 1015 Lausanne, VD Switzerland.
This paper introduces the concept of -a novel transdisciplinary paradigm designed to advance cognitive neurodynamics by integrating insights from molecular biology, computing, behavioral science, and clinical neuroscience. Contrasted with the traditional reductionist approach rooted in classical determinism, neuroheuristics emphasizes a flexible, problem-solving methodology for investigating brain function across multiple levels of complexity. The paper explores the epistemological interplay among genetic, epigenetic, and environmental factors in brain development and pathology.
View Article and Find Full Text PDFJ Am Chem Soc
September 2025
State Key Laboratory of Common Mechanism Research for Major Diseases, Department of Biophysics and Structural Biology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, P. R. China.
Emerging evidence underscores the regulatory roles of nonamyloidogenic regions in controlling the aggregation dynamics and cytotoxicity of amyloidal proteins, but the mechanism remains unclear. Herein we investigated how flanking sequences modulate the conformational heterogeneity in the p53 238-262 amyloid segment using scanning tunneling microscopy (STM). By comparing the wild-type (wt) and three pathogenic mutations (R248W, R248Q, R249S) in the noncore regions, we reveal that flanking alterations remodel β-sheet aggregates and induce conformational plasticity in β-strand ensembles through the generation of novel conformational substates and selective elimination of existing conformational substates.
View Article and Find Full Text PDFBiology (Basel)
July 2025
Xi'an Botanical Garden of Shaanxi Province, Institute of Botany of Shaanxi Province, Xi'an 710061, China.
To investigate the characteristics of rhizosphere soil microbial communities associated with across different altitudinal gradients and to reveal the driving factors of microbial community dynamics, this study collected rhizosphere soil samples at four elevations: 900 m (HB1), 1100 m (HB2), 1300 m (HB3), and 1500 m (HB4). High-throughput sequencing and molecular ecological network analysis were employed to analyze the microbial community composition and species interactions. A null model was applied to elucidate community assembly mechanisms.
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