Biophysics reviews最新文献_第2页

Decoding physical principles of cell migration under controlled environment using microfluidics. 利用微流体技术解码细胞在受控环境下迁移的物理原理。

IF 2.9

Biophysics reviews Pub Date : 2024-07-29 eCollection Date: 2024-09-01 DOI: 10.1063/5.0199161

Young Joon Suh, Alan T Li, Mrinal Pandey, Cassidy S Nordmann, Yu Ling Huang, Mingming Wu

{"title":"Decoding physical principles of cell migration under controlled environment using microfluidics.","authors":"Young Joon Suh, Alan T Li, Mrinal Pandey, Cassidy S Nordmann, Yu Ling Huang, Mingming Wu","doi":"10.1063/5.0199161","DOIUrl":"10.1063/5.0199161","url":null,"abstract":"Living cells can perform incredible tasks that man-made micro/nano-sized robots have not yet been able to accomplish. One example is that white blood cells can sense and move to the site of pathogen attack within minutes. The robustness and precision of cellular functions have been perfected through billions of years of evolution. In this context, we ask the question whether cells follow a set of physical principles to sense, adapt, and migrate. Microfluidics has emerged as an enabling technology for recreating well-defined cellular environment for cell migration studies, and its ability to follow single cell dynamics allows for the results to be amenable for theoretical modeling. In this review, we focus on the development of microfluidic platforms for recreating cellular biophysical (e.g., mechanical stress) and biochemical (e.g., nutrients and cytokines) environments for cell migration studies in 3D. We summarize the basic principles that cells (including bacteria, algal, and mammalian cells) use to respond to chemical gradients learned from microfluidic systems. We also discuss about novel biological insights gained from studies of cell migration under biophysical cues and the need for further quantitative studies of cell function under well-controlled biophysical environments in the future.","PeriodicalId":72405,"journal":{"name":"Biophysics reviews","volume":"5 3","pages":"031302"},"PeriodicalIF":2.9,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11290890/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141876856","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

Engineered heart tissue: Design considerations and the state of the art. 工程心脏组织：设计考虑因素和最新技术。

IF 2.9

Biophysics reviews Pub Date : 2024-06-20 eCollection Date: 2024-06-01 DOI: 10.1063/5.0202724

Ilhan Gokhan, Thomas S Blum, Stuart G Campbell

引用次数: 0

Macrophages on the wrinkle: Exploring microscale interactions with substrate topography. 皱纹上的巨噬细胞：探索微观尺度上与基底形貌的相互作用。

Biophysics reviews Pub Date : 2024-06-11 eCollection Date: 2024-06-01 DOI: 10.1063/5.0215563

Francesca Cecilia Lauta, Luca Pellegrino, Roberto Rusconi

引用次数: 0

How cytoskeletal crosstalk makes cells move: Bridging cell-free and cell studies. 细胞骨架串联如何使细胞运动：无细胞研究与细胞研究的桥梁

Biophysics reviews Pub Date : 2024-06-03 eCollection Date: 2024-06-01 DOI: 10.1063/5.0198119

James P Conboy, Irene Istúriz Petitjean, Anouk van der Net, Gijsje H Koenderink

引用次数: 0

The magnetocardiogram. 磁心动图

Biophysics reviews Pub Date : 2024-05-29 eCollection Date: 2024-06-01 DOI: 10.1063/5.0201950

Bradley J Roth

引用次数: 0

Deep learning from latent spatiotemporal information of the heart: Identifying advanced bioimaging markers from echocardiograms. 从潜在的心脏时空信息中进行深度学习：从超声心动图中识别高级生物成像标记。

IF 2.9

Biophysics reviews Pub Date : 2024-03-27 eCollection Date: 2024-03-01 DOI: 10.1063/5.0176850

Amanda Chang, Xiaodong Wu, Kan Liu

{"title":"Deep learning from latent spatiotemporal information of the heart: Identifying advanced bioimaging markers from echocardiograms.","authors":"Amanda Chang, Xiaodong Wu, Kan Liu","doi":"10.1063/5.0176850","DOIUrl":"10.1063/5.0176850","url":null,"abstract":"A key strength of echocardiography lies in its integration of comprehensive spatiotemporal cardiac imaging data in real-time, to aid frontline or bedside patient risk stratification and management. Nonetheless, its acquisition, processing, and interpretation are known to all be subject to heterogeneity from its reliance on manual and subjective human tracings, which challenges workflow and protocol standardization and final interpretation accuracy. In the era of advanced computational power, utilization of machine learning algorithms for big data analytics in echocardiography promises reduction in cost, cognitive errors, and intra- and inter-observer variability. Novel spatiotemporal deep learning (DL) models allow the integration of temporal arm information based on unlabeled pixel echocardiographic data for convolution of an adaptive semantic spatiotemporal calibration to construct personalized 4D heart meshes, assess global and regional cardiac function, detect early valve pathology, and differentiate uncommon cardiovascular disorders. Meanwhile, data visualization on spatiotemporal DL prediction models helps extract latent temporal imaging features to develop advanced imaging biomarkers in early disease stages and advance our understanding of pathophysiology to support the development of personalized prevention or treatment strategies. Since portable echocardiograms have been increasingly used as point-of-care imaging tools to aid rural care delivery, the application of these new spatiotemporal DL techniques show the potentials in streamlining echocardiographic acquisition, processing, and data analysis to improve workflow standardization and efficiencies, and provide risk stratification and decision supporting tools in real-time, to prompt the building of new imaging diagnostic networks to enhance rural healthcare engagement.","PeriodicalId":72405,"journal":{"name":"Biophysics reviews","volume":"5 1","pages":"011304"},"PeriodicalIF":2.9,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10978053/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140337882","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 thermodynamics of neurodegenerative disease. 神经退行性疾病的热力学。

IF 2.9

Biophysics reviews Pub Date : 2024-03-20 eCollection Date: 2024-03-01 DOI: 10.1063/5.0180899

Georg Meisl

引用次数: 0

Mechanoregulation and function of calponin and transgelin. 钙调蛋白和转铁蛋白的机制调节和功能。

IF 2.9

Biophysics reviews Pub Date : 2024-03-19 eCollection Date: 2024-03-01 DOI: 10.1063/5.0176784

Monica Rasmussen, J-P Jin

{"title":"Mechanoregulation and function of calponin and transgelin.","authors":"Monica Rasmussen, J-P Jin","doi":"10.1063/5.0176784","DOIUrl":"10.1063/5.0176784","url":null,"abstract":"It is well known that chemical energy can be converted to mechanical force in biological systems by motor proteins such as myosin ATPase. It is also broadly observed that constant/static mechanical signals potently induce cellular responses. However, the mechanisms that cells sense and convert the mechanical force into biochemical signals are not well understood. Calponin and transgelin are a family of homologous proteins that participate in the regulation of actin-activated myosin motor activity. An isoform of calponin, calponin 2, has been shown to regulate cytoskeleton-based cell motility functions under mechanical signaling. The expression of the calponin 2 gene and the turnover of calponin 2 protein are both under mechanoregulation. The regulation and function of calponin 2 has physiological and pathological significance, as shown in platelet adhesion, inflammatory arthritis, arterial atherosclerosis, calcific aortic valve disease, post-surgical fibrotic peritoneal adhesion, chronic proteinuria, ovarian insufficiency, and tumor metastasis. The levels of calponin 2 vary in different cell types, reflecting adaptations to specific tissue environments and functional states. The present review focuses on the mechanoregulation of calponin and transgelin family proteins to explore how cells sense steady tension and convert the force signal to biochemical activities. Our objective is to present a current knowledge basis for further investigations to establish the function and mechanisms of calponin and transgelin in cellular mechanoregulation.","PeriodicalId":72405,"journal":{"name":"Biophysics reviews","volume":"5 1","pages":"011302"},"PeriodicalIF":2.9,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10954348/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140186430","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

Biosignal-integrated robotic systems with emerging trends in visual interfaces: A systematic review. 视觉界面新趋势下的生物信号集成机器人系统：系统综述。

IF 2.9

Biophysics reviews Pub Date : 2024-02-21 eCollection Date: 2024-03-01 DOI: 10.1063/5.0185568

Jaeho Lee, Sina Miri, Allison Bayro, Myunghee Kim, Heejin Jeong, Woon-Hong Yeo

{"title":"Biosignal-integrated robotic systems with emerging trends in visual interfaces: A systematic review.","authors":"Jaeho Lee, Sina Miri, Allison Bayro, Myunghee Kim, Heejin Jeong, Woon-Hong Yeo","doi":"10.1063/5.0185568","DOIUrl":"10.1063/5.0185568","url":null,"abstract":"Human-machine interfaces (HMI) are currently a trendy and rapidly expanding area of research. Interestingly, the human user does not readily observe the interface between humans and machines. Instead, interactions between the machine and electrical signals from the user's body are obscured by complex control algorithms. The result is effectively a one-way street, wherein data is only transmitted from human to machine. Thus, a gap remains in the literature: how can information be effectively conveyed to the user to enable mutual understanding between humans and machines? Here, this paper reviews recent advancements in biosignal-integrated wearable robotics, with a particular emphasis on \"visualization\"-the presentation of relevant data, statistics, and visual feedback to the user. This review article covers various signals of interest, such as electroencephalograms and electromyograms, and explores novel sensor architectures and key materials. Recent developments in wearable robotics are examined from control and mechanical design perspectives. Additionally, we discuss current visualization methods and outline the field's future direction. While much of the HMI field focuses on biomedical and healthcare applications, such as rehabilitation of spinal cord injury and stroke patients, this paper also covers less common applications in manufacturing, defense, and other domains.","PeriodicalId":72405,"journal":{"name":"Biophysics reviews","volume":"5 1","pages":"011301"},"PeriodicalIF":2.9,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10903439/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140177979","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

A life off the beaten track in biomechanics: Imperfect elasticity, cytoskeletal glassiness, and epithelial unjamming 偏离轨道的生物力学生活：不完美的弹性、细胞骨架玻璃化和上皮松动

Biophysics reviews Pub Date : 2023-12-01 DOI: 10.1063/5.0179719

Lior Atia, J. Fredberg

{"title":"A life off the beaten track in biomechanics: Imperfect elasticity, cytoskeletal glassiness, and epithelial unjamming","authors":"Lior Atia, J. Fredberg","doi":"10.1063/5.0179719","DOIUrl":"https://doi.org/10.1063/5.0179719","url":null,"abstract":"Textbook descriptions of elasticity, viscosity, and viscoelasticity fail to account for certain mechanical behaviors that typify soft living matter. Here, we consider three examples. First, strong empirical evidence suggests that within lung parenchymal tissues, the frictional stresses expressed at the microscale are fundamentally not of viscous origin. Second, the cytoskeleton (CSK) of the airway smooth muscle cell, as well as that of all eukaryotic cells, is more solid-like than fluid-like, yet its elastic modulus is softer than the softest of soft rubbers by a factor of 104–105. Moreover, the eukaryotic CSK expresses power law rheology, innate malleability, and fluidization when sheared. For these reasons, taken together, the CSK of the living eukaryotic cell is reminiscent of the class of materials called soft glasses, thus likening it to inert materials such as clays, pastes slurries, emulsions, and foams. Third, the cellular collective comprising a confluent epithelial layer can become solid-like and jammed, fluid-like and unjammed, or something in between. Esoteric though each may seem, these discoveries are consequential insofar as they impact our understanding of bronchospasm and wound healing as well as cancer cell invasion and embryonic development. Moreover, there are reasons to suspect that certain of these phenomena first arose in the early protist as a result of evolutionary pressures exerted by the primordial microenvironment. We have hypothesized, further, that each then became passed down virtually unchanged to the present day as a conserved core process. These topics are addressed here not only because they are interesting but also because they track the journey of one laboratory along a path less traveled by.","PeriodicalId":72405,"journal":{"name":"Biophysics reviews","volume":"184 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139014327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0