Biophysics reviews最新文献

Decoding chaperone complexes: Insights from NMR spectroscopy. 解码伴侣复合物：来自核磁共振光谱的见解。

IF 2.9

Biophysics reviews Pub Date : 2024-12-10 eCollection Date: 2024-12-01 DOI: 10.1063/5.0233299

Shreya Ghosh, G Marius Clore

{"title":"Decoding chaperone complexes: Insights from NMR spectroscopy.","authors":"Shreya Ghosh, G Marius Clore","doi":"10.1063/5.0233299","DOIUrl":"10.1063/5.0233299","url":null,"abstract":"Molecular chaperones play a key role in protein homeostasis by preventing misfolding and aggregation, assisting in proper protein folding, and sometimes even disaggregating formed aggregates. Chaperones achieve this through a range of transient weak protein-protein interactions, which are difficult to study using traditional structural and biophysical techniques. Nuclear magnetic resonance (NMR) spectroscopy, however, is well-suited for studying such dynamic states and interactions. A wide range of NMR experiments have been particularly valuable in understanding the mechanisms of chaperone function, as they can characterize disordered protein structures, detect weak and nonspecific interactions involving sparsely populated states, and probe the conformational dynamics of proteins and their complexes. Recent advances in NMR have significantly enhanced our knowledge of chaperone mechanisms, especially chaperone-client interactions, despite the inherent challenges posed by the flexibility and complexity of these systems. In this review, we highlight contributions of NMR to the chaperone field, focusing on the work carried out in our laboratory, which have provided insights into how chaperones maintain function within the cellular environment and interact with various protein substrates.","PeriodicalId":72405,"journal":{"name":"Biophysics reviews","volume":"5 4","pages":"041308"},"PeriodicalIF":2.9,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11637561/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142831116","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

Regulation of cytoskeleton dynamics and its interplay with force in plant cells. 植物细胞的细胞骨架动力学调控及其与力的相互作用

IF 2.9

Biophysics reviews Pub Date : 2024-11-25 eCollection Date: 2024-12-01 DOI: 10.1063/5.0201899

Zhenping Sun, Xueqing Wang, Chaoyong Peng, Liufeng Dai, Ting Wang, Yi Zhang

引用次数: 0

Spatially defined microenvironment for engineering organoids. 空间限定的有机体工程微环境

IF 2.9

Biophysics reviews Pub Date : 2024-10-18 eCollection Date: 2024-12-01 DOI: 10.1063/5.0198848

Yilan Zhang, Fukang Qi, Peng Chen, Bi-Feng Liu, Yiwei Li

{"title":"Spatially defined microenvironment for engineering organoids.","authors":"Yilan Zhang, Fukang Qi, Peng Chen, Bi-Feng Liu, Yiwei Li","doi":"10.1063/5.0198848","DOIUrl":"10.1063/5.0198848","url":null,"abstract":"In the intricately defined spatial microenvironment, a single fertilized egg remarkably develops into a conserved and well-organized multicellular organism. This observation leads us to hypothesize that stem cells or other seed cell types have the potential to construct fully structured and functional tissues or organs, provided the spatial cues are appropriately configured. Current organoid technology, however, largely depends on spontaneous growth and self-organization, lacking systematic guided intervention. As a result, the structures replicated in vitro often emerge in a disordered and sparse manner during growth phases. Although existing organoids have made significant contributions in many aspects, such as advancing our understanding of development and pathogenesis, aiding personalized drug selection, as well as expediting drug development, their potential in creating large-scale implantable tissue or organ constructs, and constructing multicomponent microphysiological systems, together with functioning at metabolic levels remains underutilized. Recent discoveries have demonstrated that the spatial definition of growth factors not only induces directional growth and migration of organoids but also leads to the formation of assembloids with multiple regional identities. This opens new avenues for the innovative engineering of higher-order organoids. Concurrently, the spatial organization of other microenvironmental cues, such as physical stresses, mechanical loads, and material composition, has been minimally explored. This review delves into the burgeoning field of organoid engineering with a focus on potential spatial microenvironmental control. It offers insight into the molecular principles, expected outcomes, and potential applications, envisioning a future perspective in this domain.","PeriodicalId":72405,"journal":{"name":"Biophysics reviews","volume":"5 4","pages":"041302"},"PeriodicalIF":2.9,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11646138/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142831118","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

Capturing the illusive ring-shaped intermediates in Aβ42 amyloid formation. 捕捉 Aβ42 淀粉样蛋白形成过程中虚幻的环形中间体

IF 2.9

Biophysics reviews Pub Date : 2024-08-13 eCollection Date: 2024-09-01 DOI: 10.1063/5.0222349

Yu Yuan, Xiaozhe Dong, Huan Wang, Feng Gai

引用次数: 0

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