Article
Biochemistry & Molecular Biology
Valentin Larzilliere, Florence de Fouchecour, Chrystelle Bureau, Theodore Bouchez, Roman Moscoviz
Summary: This study aimed to evaluate the long-term influence of inoculation strategies on bioelectrochemical systems for wastewater treatment and found that different strategies did not have a significant long-term impact on system performance and microbial compositions after three batches.
BIOELECTROCHEMISTRY
(2024)
Article
Biochemistry & Molecular Biology
Kamal Asadipour, Maisoun Bani Hani, Lucas Potter, Brittney L. Ruedlinger, Nicola Lai, Stephen J. Beebe
Summary: This study demonstrates that nanosecond pulsed electric fields (nsPEFs) can modulate cellular redox functions and metabolism by regulating trans-plasma membrane electron transport and mitochondrial electron transport system. The effects of nsPEFs on cells are dose-dependent, with low levels being beneficial and high levels causing damage.
BIOELECTROCHEMISTRY
(2024)
Article
Astronomy & Astrophysics
Jun Ge, Hong-Yun Nie, Kai-Ge Liu, Hao Li, Hai-Guan Lin, Tao Zhang, Hong-Wei Sun, Hong-Feng Yan, Jian-Wu Yang, Jin-Lian Zhou, Yan Cui
Summary: The study found that Kupffer cells (KCs) are sensitive to simulated microgravity (SMG). After 3 days of SMG treatment, transcriptome sequencing showed that 631 genes were upregulated while 801 genes were downregulated in KCs. GO analysis indicated that the proliferation of KCs was affected by SMG exposure for 3 days. CCK-8 assay confirmed that KC proliferation was inhibited on the third day under SMG. Furthermore, 8 key genes and 2 transcription factors that regulate these genes were identified.
LIFE SCIENCES IN SPACE RESEARCH
(2024)
Article
Biology
Erika Machtinger, Karen C. Poh, Risa Pesapane, Danielle M. Tufts
Summary: Vector-borne diseases, transmitted by insects, are a significant threat to global human and animal health. Their emergence is influenced by factors such as environmental changes, host characteristics, and human behavior. The One Health approach is necessary to comprehensively investigate tick-borne diseases and understand the complex interactions between environmental, animal, and human health.
CURRENT OPINION IN INSECT SCIENCE
(2024)
Article
Biology
Dequn Teng, Wei Zhang
Summary: Butterfly wings, with their rich phenotypic diversity and complex biological functions, serve as a crucial system for studying the genetic basis and evolution of phenotypic diversification. Recent studies have revealed the complex functions and genetic and environmental factors involved in determining wing patterns. These factors lead to inter-specific divergence, genetic polymorphism, and phenotypic plasticity, often controlled by key genes. Gene co-option has also been identified as an important mechanism for functional complexity and evolutionary novelty. However, further research is needed for a systematic and comprehensive understanding.
CURRENT OPINION IN INSECT SCIENCE
(2024)
Article
Biology
Beatrix Rahnsch, Leila Taghizadeh
Summary: This study forecasts the evolution of the COVID-19 pandemic in Germany using a network-based inference method and compares it with other approaches. The results show that the network-inference based approach outperforms other methods in short-to mid-term predictions, even with limited information about the new disease. Furthermore, predictions based on the estimation of the reproduction number in Germany can yield more reliable results with increasing data availability, but still cannot surpass the network-inference based algorithm.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Jason W. Olejarz, Martin A. Nowak
Summary: Gene drive technology shows potential for population control, but its release may have unpredictable consequences. The study suggests that the failure of suppression is a natural outcome, and there are complex dynamics among wild populations.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Haruto Tomizuka, Yuuya Tachiki
Summary: Batesian mimicry is a strategy in which palatable prey species resemble unpalatable prey species to avoid predation. The evolution of this mimicry plays a crucial role in protecting the unpalatable species from extinction.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Rongsheng Huang, Qiaojun Situ, Jinzhi Lei
Summary: Maintaining tissue homeostasis requires appropriate regulation of stem cell differentiation. Random inheritance of epigenetic states plays a pivotal role in stem cell differentiation. This computational model provides valuable insights into the intricate mechanism governing stem cell differentiation and cell reprogramming, offering a promising path for enhancing the field of regenerative medicine.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Patrick Vincent N. Lubenia, Eduardo R. Mendoza, Angelyn R. Lao
Summary: This study compares insulin signaling in healthy and type 2 diabetes states using reaction network analysis. The results show similarities and differences between the two conditions, providing insights into the mechanisms of insulin resistance, including the involvement of other complexes, less restrictive interplay between species, and loss of concentration robustness in GLUT4.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Hamid Ravaee, Mohammad Hossein Manshaei, Mehran Safayani, Javad Salimi Sartakhti
Summary: Gene expression analysis is valuable for cancer classification and phenotype identification. IP3G, based on Generative Adversarial Networks, enhances gene expression data and discovers phenotypes in an unsupervised manner. By converting gene expression profiles into images and utilizing IP3G, new phenotype profiles can be generated, improving classification accuracy.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Thomas F. Pak, Joe Pitt-Francis, Ruth E. Baker
Summary: Cell competition is a process where cells interact in multicellular organisms to determine a winner or loser status, with loser cells being eliminated through programmed cell death. The winner cells then populate the tissue. The outcome of cell competition is context-dependent, as the same cell type can win or lose depending on the competing cell type. This paper proposes a mathematical framework to study the emergence of winner or loser status, highlighting the role of active cell death and identifying the factors that drive cell competition in a cell-based modeling context.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Andy Gardner
Summary: Fisher's geometric model is a useful tool for predicting key properties of Darwinian adaptation, and here it is applied to predict differences between the evolution of altruistic versus nonsocial phenotypes. The results suggest that the effect size maximizing probability of fixation is smaller in the context of altruism and larger in the context of nonsocial phenotypes, leading to lower overall probability of fixation for altruism and higher overall probability of fixation for nonsocial phenotypes.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Armindo Salvador
Summary: Michael Savageau's Biochemical Systems Analysis papers have had a significant impact on Systems Biology, generating core concepts and tools. This article provides a brief summary of these papers and discusses the most relevant developments in Biochemical Systems Theory since their publication.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Iain Hunter, Raz Leib
Summary: Natural movement is related to health, but it is difficult to measure. Existing methods cannot capture the full range of natural movement. Comparing movement across different species helps identify common biomechanical and computational principles. Developing a system to quantify movement in freely moving animals in natural environments and relating it to life quality is crucial. This study proposes a theoretical framework based on movement ability and validates it in Drosophila.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Nuverah Mohsin, Heiko Enderling, Renee Brady-Nicholls, Mohammad U. Zahid
Summary: Mathematical modeling is crucial in understanding radiobiology and designing treatment approaches in radiotherapy for cancer. This study compares three tumor volume dynamics models and analyzes the implications of model selection. A new metric, the point of maximum reduction of tumor volume (MRV), is introduced to quantify the impact of radiotherapy. The results emphasize the importance of caution in selecting models of response to radiotherapy due to the artifacts imposed by each model.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Oleg Gaidai, Vladimir Yakimov, Yuhao Niu, Zirui Liu
Summary: This study presents a new methodology for assessing pandemic risks in a national health system. The suggested approach addresses the highdimensionality and complex cross-correlations between regional observations, enabling accurate epidemiological risk forecasts for multi-regional biological and health systems.
Article
Biology
Kaicheng Yu, Qiang Gao, Zexue Lin, Fei Wang, Peng Zhang, Yongdan Liu, Lihua Lu
Summary: Material extrusion has shown promise in tissue engineering, but the shape of 3D structures is currently uncontrollable. This study proposes a method to regulate the temperature gradient in the printing space by varying the height and internal diameter of the enclosure, which successfully avoids collapse and improves the height of scaffolds.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Biology
Qing Yan, Deqiang Xiao, Yaosong Jia, Danni Ai, Jingfan Fan, Hong Song, Cheng Xu, Yining Wang, Jian Yang
Summary: This study introduces a multi-dimensional CFD framework that improves the accuracy and efficiency of FFR prediction. The framework estimates 0D patient-specific boundary conditions and generates 3D initial conditions to enhance the prediction. The study demonstrates a strong correlation between the predicted FFR and the invasive FFR, with high accuracy and sensitivity.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
Article
Biology
Kaja Gutowska, Piotr Formanowicz
Summary: The primary aim of this research is to propose algorithms for identifying significant reactions and subprocesses within biological system models constructed using classical Petri nets. These solutions enable two analysis methods: importance analysis for identifying critical individual reactions to the model's functionality and occurrence analysis for finding essential subprocesses. The utility of these methods has been demonstrated through analyses of an example model related to the DNA damage response mechanism. It should be noted that these proposed analyses can be applied to any biological phenomenon represented using the Petri net formalism. The presented analysis methods extend classical Petri net-based analyses, enhancing our comprehension of the investigated biological phenomena and aiding in the identification of potential molecular targets for drugs.
COMPUTERS IN BIOLOGY AND MEDICINE
(2024)
