Biophysics reviews最新文献

The drug resistance feature of acute myeloid leukemia is related to the cell stiffness. 急性髓系白血病的耐药特点与细胞硬度有关。

IF 2.9

Biophysics reviews Pub Date : 2025-06-25 eCollection Date: 2025-06-01 DOI: 10.1063/5.0244619

Yu Wang, Hao Jiang, Zhenwei Su, Ran Wang, Xinyuan Luo, Lingxiao Zhang, Zhi Ping Xu, Fenfang Li, Chao He

{"title":"The drug resistance feature of acute myeloid leukemia is related to the cell stiffness.","authors":"Yu Wang, Hao Jiang, Zhenwei Su, Ran Wang, Xinyuan Luo, Lingxiao Zhang, Zhi Ping Xu, Fenfang Li, Chao He","doi":"10.1063/5.0244619","DOIUrl":"10.1063/5.0244619","url":null,"abstract":"Acute myeloid leukemia (AML) is a hematologic cancer. Cytarabine-based chemotherapy is the primary treatment. However, drug resistance presents a significant challenge leading to treatment failure. Our study explores the underlying correlation between AML stiffness and its drug resistance feature. We employed microfluidic technology to measure AML cell deformability, demonstrating that drug-resistant cells exhibit increased stiffness compared to their drug-sensitive counterparts. Transcriptomic analysis revealed that enhanced stiffness in drug-resistant cells is associated with upregulated cytoskeletal protein expression and increased lipid metabolism, particularly the peroxisome proliferators-activated receptor (PPAR) signaling pathway. Mechanistically, we found that knocking down PLIN2 at the genetic level and increasing the cholesterol level promoted the deformation of drug-resistant cells, indicating that intracellular lipid levels are involved in the regulation of cell softness. Our findings suggest that AML cell stiffness could serve as a potential biomarker for drug resistance, providing new insights into the mechanisms underlying AML drug resistance and offering potential therapeutic targets.","PeriodicalId":72405,"journal":{"name":"Biophysics reviews","volume":"6 2","pages":"021402"},"PeriodicalIF":2.9,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12201995/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144531333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Neural circuit mechanisms underlying dominance traits and social competition. 支配特征与社会竞争的神经回路机制。

IF 2.9

Biophysics reviews Pub Date : 2025-06-25 eCollection Date: 2025-06-01 DOI: 10.1063/5.0221909

Han Yan, Jin Wang

{"title":"Neural circuit mechanisms underlying dominance traits and social competition.","authors":"Han Yan, Jin Wang","doi":"10.1063/5.0221909","DOIUrl":"10.1063/5.0221909","url":null,"abstract":"The survival of animals often hinges on their dominance status, established through repeated social competitions. The dorsomedial prefrontal cortex (dmPFC) plays a pivotal role in regulating these competitions, yet the formation of intrinsic traits like grit and aggressiveness, crucial for competitive outcomes, remains poorly understood. In this study, we constructed a dmPFC circuit model based on experimental recordings to replicate the characteristic activities of dmPFC neurons during various behavioral patterns observed in the dominance tube test. Our findings reveal that the dmPFC circuit supports bistable behavior states-effortful and passive-depending on external conditions. This bistability is essential for understanding how animals adapt their behaviors in social competitions, thereby influencing the establishment of social hierarchies. Our results indicate that increased self-excitation in pyramidal neurons within the dmPFC enhances the robustness of effortful behaviors, akin to perseverance, but reduces flexibility in responding to rapid external changes. This suggests that dominance status benefits more from perseverance than from increased aggression. Additionally, our study shows that when rapid responses to external signals are necessary, the basal activity in dmPFC neurons can be reconfigured to enhance flexibility, albeit at higher energy costs. This research advances our understanding of the neural basis of social behavior and provides a framework for further exploration into how neural circuits contribute to complex behavioral traits, offering insights into the neural dynamics underlying social dominance. This research also opens avenues for investigating psychiatric and neurological disorders where these mechanisms may be disrupted.","PeriodicalId":72405,"journal":{"name":"Biophysics reviews","volume":"6 2","pages":"021401"},"PeriodicalIF":2.9,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12201996/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144531332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Managing surface energy dynamics for enhanced axonal growth: An overview of present and future challenges. 管理增强轴突生长的表面能量动力学：当前和未来挑战的概述。

IF 2.9

Biophysics reviews Pub Date : 2025-04-30 eCollection Date: 2025-06-01 DOI: 10.1063/5.0237085

Océane Sénépart, Claire Legay, Ahmed Hamraoui

{"title":"Managing surface energy dynamics for enhanced axonal growth: An overview of present and future challenges.","authors":"Océane Sénépart, Claire Legay, Ahmed Hamraoui","doi":"10.1063/5.0237085","DOIUrl":"10.1063/5.0237085","url":null,"abstract":"To create functional neuronal circuit units during nervous system development and/or regeneration, axons are subjected to guidance signals. Expression of these signals occurs in spatiotemporal variations and is translated by the growth cone into a pathway to reach the connecting target which can be a neuron or a non-neuronal cell such as a muscle cell. This path is generated by interactions with the surrounding environment such as cells or the extracellular matrix, a complex molecular substrate. Understanding the interactions with this last component is essential to stimulate nerve regeneration in the context of motor peripheral nerve trauma, the most common source of disabilities, increasing with aging. The goal is to mimic its composition and specific characteristics using innovative biomaterials and/or implants. This review highlights some aspects of the recent findings in nerve repair. After an introduction to the peripheral nervous system, we present an overview of nerve degeneration and regeneration mechanisms before detailing the strategies used nowadays to optimize nerve (re)growth with a specific focus on the use of electric field. We discuss the advantages and limits of each option in terms of therapeutic applications.","PeriodicalId":72405,"journal":{"name":"Biophysics reviews","volume":"6 2","pages":"021301"},"PeriodicalIF":2.9,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12045649/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144060606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The mechanobiology of biomolecular condensates. 生物分子凝聚物的力学生物学。

IF 2.9

Biophysics reviews Pub Date : 2025-03-25 eCollection Date: 2025-03-01 DOI: 10.1063/5.0236610

Neus Sanfeliu-Cerdán, Michael Krieg

{"title":"The mechanobiology of biomolecular condensates.","authors":"Neus Sanfeliu-Cerdán, Michael Krieg","doi":"10.1063/5.0236610","DOIUrl":"10.1063/5.0236610","url":null,"abstract":"The central goal of mechanobiology is to understand how the mechanical forces and material properties of organelles, cells, and tissues influence biological processes and functions. Since the first description of biomolecular condensates, it was hypothesized that they obtain material properties that are tuned to their functions inside cells. Thus, they represent an intriguing playground for mechanobiology. The idea that biomolecular condensates exhibit diverse and adaptive material properties highlights the need to understand how different material states respond to external forces and whether these responses are linked to their physiological roles within the cell. For example, liquids buffer and dissipate, while solids store and transmit mechanical stress, and the relaxation time of a viscoelastic material can act as a mechanical frequency filter. Hence, a liquid-solid transition of a condensate in the force transmission pathway can determine how mechanical signals are transduced within and in-between cells, affecting differentiation, neuronal network dynamics, and behavior to external stimuli. Here, we first review our current understanding of the molecular drivers and how rigidity phase transitions are set forth in the complex cellular environment. We will then summarize the technical advancements that were necessary to obtain insights into the rich and fascinating mechanobiology of condensates, and finally, we will highlight recent examples of physiological liquid-solid transitions and their connection to specific cellular functions. Our goal is to provide a comprehensive summary of the field on how cells harness and regulate condensate mechanics to achieve specific functions.","PeriodicalId":72405,"journal":{"name":"Biophysics reviews","volume":"6 1","pages":"011310"},"PeriodicalIF":2.9,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11952833/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143756204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mesoscopic p53-rich clusters represent a new class of protein condensates. 介观富含p53的团簇代表了一类新的蛋白质凝聚体。

IF 2.9

Biophysics reviews Pub Date : 2025-03-20 eCollection Date: 2025-03-01 DOI: 10.1063/5.0243722

David S Yang, Alexander Tilson, Michael B Sherman, Navin Varadarajan, Peter G Vekilov

{"title":"Mesoscopic p53-rich clusters represent a new class of protein condensates.","authors":"David S Yang, Alexander Tilson, Michael B Sherman, Navin Varadarajan, Peter G Vekilov","doi":"10.1063/5.0243722","DOIUrl":"10.1063/5.0243722","url":null,"abstract":"The protein p53 is an important tumor suppressor, which transforms, after mutation, into a potent cancer promotor. Both mutant and wild-type p53 form amyloid fibrils, and fibrillization is considered one of the pathways of the mutants' oncogenicity. p53 incorporates structured domains, essential to its function, and extensive disordered regions. Here, we address the roles of the ordered (where the vast majority of oncogenic mutations localize) and disordered (implicated in aggregation and condensation of numerous other proteins) domains in p53 aggregation. We show that in the cytosol of model breast cancer cells, the mutant p53 R248Q reproducibly forms fluid aggregates with narrow size distribution centered at approximately 40 nm. Similar aggregates were observed in experiments with purified p53 R248Q, which identified the aggregates as mesoscopic protein-rich clusters, a unique protein condensate. Direct TEM imaging demonstrates that the mesoscopic clusters host and facilitate the nucleation of amyloid fibrils. We show that in solutions of stand-alone ordered domain of WT p53 clusters form and support fibril nucleation, whereas the disordered N-terminus domain forms common dense liquid and no fibrils. These results highlight two unique features of the mesoscopic protein-rich clusters: their role in amyloid fibrillization that may have implications for the oncogenicity of p53 mutants and the defining role of the ordered protein domains in their formation. In a broader context, these findings demonstrate that mutations in the DBD domain, which underlie the loss of cancer-protective transcription function, are also responsible for fibrillization and, thus, the gain of oncogenic function of p53 mutants.","PeriodicalId":72405,"journal":{"name":"Biophysics reviews","volume":"6 1","pages":"011308"},"PeriodicalIF":2.9,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11928095/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143694502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sticking together: Polymerization of sickle hemoglobin drives the multiscale pathophysiology of sickle cell disease. 粘在一起：镰状血红蛋白的聚合驱动镰状细胞病的多尺度病理生理。

IF 2.9

Biophysics reviews Pub Date : 2025-03-20 eCollection Date: 2025-03-01 DOI: 10.1063/5.0238698

Dillon C Williams, Hannah M Szafraniec, David K Wood

引用次数: 0

Toward universal models for collective interactions in biomolecular condensates. 迈向生物分子凝聚体集体相互作用的通用模型。

IF 2.9

Biophysics reviews Pub Date : 2025-03-07 eCollection Date: 2025-03-01 DOI: 10.1063/5.0244227

Edoardo Milanetti, Karan K H Manjunatha, GianCarlo Ruocco, Amos Maritan, Monika Fuxreiter

引用次数: 0

Decoding the effects of mutation on protein interactions using machine learning. 利用机器学习解码突变对蛋白质相互作用的影响。

IF 2.9

Biophysics reviews Pub Date : 2025-02-21 eCollection Date: 2025-03-01 DOI: 10.1063/5.0249920

Wang Xu, Anbang Li, Yunjie Zhao, Yunhui Peng

{"title":"Decoding the effects of mutation on protein interactions using machine learning.","authors":"Wang Xu, Anbang Li, Yunjie Zhao, Yunhui Peng","doi":"10.1063/5.0249920","DOIUrl":"10.1063/5.0249920","url":null,"abstract":"Accurately predicting mutation-caused binding free energy changes (ΔΔGs) on protein interactions is crucial for understanding how genetic variations affect interactions between proteins and other biomolecules, such as proteins, DNA/RNA, and ligands, which are vital for regulating numerous biological processes. Developing computational approaches with high accuracy and efficiency is critical for elucidating the mechanisms underlying various diseases, identifying potential biomarkers for early diagnosis, and developing targeted therapies. This review provides a comprehensive overview of recent advancements in predicting the impact of mutations on protein interactions across different interaction types, which are central to understanding biological processes and disease mechanisms, including cancer. We summarize recent progress in predictive approaches, including physicochemical-based, machine learning, and deep learning methods, evaluating the strengths and limitations of each. Additionally, we discuss the challenges related to the limitations of mutational data, including biases, data quality, and dataset size, and explore the difficulties in developing accurate prediction tools for mutation-induced effects on protein interactions. Finally, we discuss future directions for advancing these computational tools, highlighting the capabilities of advancing technologies, such as artificial intelligence to drive significant improvements in mutational effects prediction.","PeriodicalId":72405,"journal":{"name":"Biophysics reviews","volume":"6 1","pages":"011307"},"PeriodicalIF":2.9,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11857871/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143517540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Biomembrane structure at the molecular level and its application in precision medicine. 分子水平生物膜结构及其在精准医学中的应用。

IF 2.9

Biophysics reviews Pub Date : 2025-02-18 eCollection Date: 2025-03-01 DOI: 10.1063/5.0213964

Zicheng Wang, Zhiyuan Tian, Jing Gao, Hongda Wang

{"title":"Biomembrane structure at the molecular level and its application in precision medicine.","authors":"Zicheng Wang, Zhiyuan Tian, Jing Gao, Hongda Wang","doi":"10.1063/5.0213964","DOIUrl":"10.1063/5.0213964","url":null,"abstract":"Biomembranes are fundamental to our understanding of the cell, the basic building block of all life. They form important barriers between the cytoplasm and the microenvironment of the cell and separate organelles within cells. Despite substantial advances in the study of cell membrane structure models, they are still in the stage of model hypothesis due to the high complexity of the components, structures, and functions of membranes. In this review, we summarized the progresses on membrane structure, properties, and functions at the molecular level using newly developed technologies and discussed some challenges and future directions in biomembrane research from our perspective. Moreover, we demonstrated the dynamic functions of membrane proteins and their role in achieving early detection, precise diagnosis, and the development of personalized treatment strategies at the molecular level. Overall, this review aims to engage researchers in related fields and multidisciplinary readers to understand and explore biomembranes for the accurate and effective development of membrane-targeting therapeutic agents.","PeriodicalId":72405,"journal":{"name":"Biophysics reviews","volume":"6 1","pages":"011306"},"PeriodicalIF":2.9,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11839234/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143470259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advancing biohybrid robotics: Innovations in contraction models, control techniques, and applications. 推进生物混合机器人：收缩模型、控制技术和应用的创新。

IF 2.9

Biophysics reviews Pub Date : 2025-02-12 eCollection Date: 2025-03-01 DOI: 10.1063/5.0246194

Tingyu Li, Shoji Takeuchi

引用次数: 0