Pub Date : 2025-11-01Epub Date: 2025-09-18DOI: 10.1016/j.semcdb.2025.103658
Xuecheng Li , Qingqing Liu , Junmin Pan
Chlamydomonas is a haploid, unicellular green alga that serves as an excellent model system for studying ciliary biology. It possesses two motile cilia of equal length, making it ideal for investigating both ciliogenesis and ciliary motility, as well as cilia-based signaling. The organism's ease of cultivation, the simplicity of cilia isolation, and the availability of well-established experimental systems for rapid and synchronous cilia regeneration and disassembly contribute to its utility in laboratory research. Furthermore, Chlamydomonas is highly amenable to a variety of genetic approaches, enhancing its value as a model organism. Due to the high degree of conservation in the core mechanisms governing ciliary structure and function, discoveries made in Chlamydomonas have significantly advanced our understanding of cilia across species and have provided important insights into cilia-related human disorders. In this overview, we summarize the key cellular features, life cycle stages, ciliary architecture and dynamics, ciliary behavior, biochemical and genetic advantages of Chlamydomonas as a model organism. Our goal is to provide a foundational perspective for those new to ciliary research in Chlamydomonas - including early-career scientists, experienced researchers transitioning from other fields, and cilia experts working with alternative model systems.
{"title":"Chlamydomonas as a model system for the study of cilia and eukaryotic flagella","authors":"Xuecheng Li , Qingqing Liu , Junmin Pan","doi":"10.1016/j.semcdb.2025.103658","DOIUrl":"10.1016/j.semcdb.2025.103658","url":null,"abstract":"<div><div><em>Chlamydomonas</em> is a haploid, unicellular green alga that serves as an excellent model system for studying ciliary biology. It possesses two motile cilia of equal length, making it ideal for investigating both ciliogenesis and ciliary motility, as well as cilia-based signaling. The organism's ease of cultivation, the simplicity of cilia isolation, and the availability of well-established experimental systems for rapid and synchronous cilia regeneration and disassembly contribute to its utility in laboratory research. Furthermore, <em>Chlamydomonas</em> is highly amenable to a variety of genetic approaches, enhancing its value as a model organism. Due to the high degree of conservation in the core mechanisms governing ciliary structure and function, discoveries made in <em>Chlamydomonas</em> have significantly advanced our understanding of cilia across species and have provided important insights into cilia-related human disorders. In this overview, we summarize the key cellular features, life cycle stages, ciliary architecture and dynamics, ciliary behavior, biochemical and genetic advantages of <em>Chlamydomonas</em> as a model organism. Our goal is to provide a foundational perspective for those new to ciliary research in <em>Chlamydomonas</em> - including early-career scientists, experienced researchers transitioning from other fields, and cilia experts working with alternative model systems.</div></div>","PeriodicalId":21735,"journal":{"name":"Seminars in cell & developmental biology","volume":"175 ","pages":"Article 103658"},"PeriodicalIF":6.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145092394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01Epub Date: 2025-10-18DOI: 10.1016/j.semcdb.2025.103657
David I. Kaplan , Xiang Guo , Sasuni D. Hirimuthugoda , Lachlan Cain , Sirui Weng , David Le , James Comben , Anna S. Trigos
Spatial transcriptomics (ST) has emerged as a powerful tool in cancer research, significantly expanding our capacity to study the complexity of tumour ecosystems. Together with the diversity of ST platforms, a plethora of analysis approaches and tools have been developed with the goal of extracting distinct aspects of biological information contained in the data. From visualizing gene expression in the context of tissue structure and cell morphology, to the exploitation of machine learning and spatial statistics to identify cell neighbourhoods, quantify tumour heterogeneity and map cell-cell signalling networks, there is a current explosion of novel analyses techniques. Unfortunately, this makes it challenging to develop workflows and strategies for data analysis, especially for those new to the field. This review serves to offer a path to cancer researchers who recognise the potential of ST and would like to start their data analysis journey. We cover the main analysis approaches used to address common research questions associated with ST data in cancer, highlighting commonly used tools, as well as discuss emerging analysis techniques that hold the potential to leverage the richness of the data at an unprecedented scale. Finally, we end by highlighting considerations when designing ST projects, from experimental design, to assembling teams and managing the rapid flux of ST technologies. We anticipate this review will be useful resource for researchers to not just seek analysis strategies to answer their current research questions, but also provide inspiration to further take advantage of the wealth of information provided by ST data.
{"title":"How to get the most out of your cancer spatial transcriptomics data","authors":"David I. Kaplan , Xiang Guo , Sasuni D. Hirimuthugoda , Lachlan Cain , Sirui Weng , David Le , James Comben , Anna S. Trigos","doi":"10.1016/j.semcdb.2025.103657","DOIUrl":"10.1016/j.semcdb.2025.103657","url":null,"abstract":"<div><div>Spatial transcriptomics (ST) has emerged as a powerful tool in cancer research, significantly expanding our capacity to study the complexity of tumour ecosystems. Together with the diversity of ST platforms, a plethora of analysis approaches and tools have been developed with the goal of extracting distinct aspects of biological information contained in the data. From visualizing gene expression in the context of tissue structure and cell morphology, to the exploitation of machine learning and spatial statistics to identify cell neighbourhoods, quantify tumour heterogeneity and map cell-cell signalling networks, there is a current explosion of novel analyses techniques. Unfortunately, this makes it challenging to develop workflows and strategies for data analysis, especially for those new to the field. This review serves to offer a path to cancer researchers who recognise the potential of ST and would like to start their data analysis journey. We cover the main analysis approaches used to address common research questions associated with ST data in cancer, highlighting commonly used tools, as well as discuss emerging analysis techniques that hold the potential to leverage the richness of the data at an unprecedented scale. Finally, we end by highlighting considerations when designing ST projects, from experimental design, to assembling teams and managing the rapid flux of ST technologies. We anticipate this review will be useful resource for researchers to not just seek analysis strategies to answer their current research questions, but also provide inspiration to further take advantage of the wealth of information provided by ST data.</div></div>","PeriodicalId":21735,"journal":{"name":"Seminars in cell & developmental biology","volume":"175 ","pages":"Article 103657"},"PeriodicalIF":6.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145318449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01Epub Date: 2025-09-01DOI: 10.1016/j.semcdb.2025.103646
Rob Phillips
Is a herd of wildebeest better thought of as a series of individual animals, each with its own glorious and unmanageable volition, or as a field of moving arrows? Are the morphogen gradients that set up the coordinate systems for embryonic anterior–posterior patterning a smooth and continuous concentration field or instead a chaotic collection of protein molecules each jiggling about in the haphazard way first described by Robert Brown in his microscopical observations of pollen? Is water, the great liquid ether of the living world, a collection of discrete molecules or instead a perfectly continuous medium with a density of 1000 kg/m? In this article, I will argue that these questions pose a false dichotomy since there are many different and powerful representations of the world around us. Different representations suit us differently at different times and it is often useful to be able to hold these seemingly contradictory notions in our heads simultaneously. Indeed, mathematics is not only the language of representation, but often is also the engine of reconciliation of such disparate views. In a letter to Alfred Russel Wallace on 14 April 1869, Charles Darwin noted that Lord Kelvin’s “views on the recent age of the world have been for some time one of my sorest troubles”. Here, I will argue that one of the highest attainments of the scientific enterprise is a coherent picture of the world, a picture in which our stories about the geological age of the Earth are coherent with our stories of how whales populated the oceans, our understanding of the living jibes with our understanding of the inanimate, our insights into the dynamics of genes and molecular structures are consonant with our physical understanding of the laws of statistical physics. The underpinnings of such coherency are often best revealed when viewed through the lens of mathematics.
{"title":"Approximating the living","authors":"Rob Phillips","doi":"10.1016/j.semcdb.2025.103646","DOIUrl":"10.1016/j.semcdb.2025.103646","url":null,"abstract":"<div><div>Is a herd of wildebeest better thought of as a series of individual animals, each with its own glorious and unmanageable volition, or as a field of moving arrows? Are the morphogen gradients that set up the coordinate systems for embryonic anterior–posterior patterning a smooth and continuous concentration field or instead a chaotic collection of protein molecules each jiggling about in the haphazard way first described by Robert Brown in his microscopical observations of pollen? Is water, the great liquid ether of the living world, a collection of discrete molecules or instead a perfectly continuous medium with a density of <span><math><mo>≈</mo></math></span>1000 kg/m<span><math><msup><mrow></mrow><mrow><mn>3</mn></mrow></msup></math></span>? In this article, I will argue that these questions pose a false dichotomy since there are many different and powerful representations of the world around us. Different representations suit us differently at different times and it is often useful to be able to hold these seemingly contradictory notions in our heads simultaneously. Indeed, mathematics is not only the language of representation, but often is also the engine of reconciliation of such disparate views. In a letter to Alfred Russel Wallace on 14 April 1869, Charles Darwin noted that Lord Kelvin’s “views on the recent age of the world have been for some time one of my sorest troubles”. Here, I will argue that one of the highest attainments of the scientific enterprise is a coherent picture of the world, a picture in which our stories about the geological age of the Earth are coherent with our stories of how whales populated the oceans, our understanding of the living jibes with our understanding of the inanimate, our insights into the dynamics of genes and molecular structures are consonant with our physical understanding of the laws of statistical physics. The underpinnings of such coherency are often best revealed when viewed through the lens of mathematics.</div></div>","PeriodicalId":21735,"journal":{"name":"Seminars in cell & developmental biology","volume":"175 ","pages":"Article 103646"},"PeriodicalIF":6.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144922768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01Epub Date: 2025-08-11DOI: 10.1016/j.semcdb.2025.103640
Ankita Dash , Mabel Maria Mathew , Kalika Prasad
Mechanical forces are instrumental to shaping lifeforms, influencing development from the subcellular scale to the organismal scale. Here, we explore how mechanical forces manifest themselves in plants, driving deformations such as tissue folding, buckling, undulating patterns, and edge curving. These deformations result from modulations in fundamental cellular processes such as cell division, cell expansion, cell wall mechanics, and cytoskeletal organization. Cytoskeletal structure like microtubules, actin filaments respond to mechanical cues by generating localized stress patterns that shape cell structure and function. Mechanical forces can also regulate gene expression and gate mechanosensitive channels to regulate ion fluxes, thereby integrating physical forces with biochemical properties. We draw parallels between plant and animal kingdoms to show how these two kingdoms utilize mechanochemical effects to drive growth and morphogenesis.
{"title":"The mechanics of shaping organs in plants","authors":"Ankita Dash , Mabel Maria Mathew , Kalika Prasad","doi":"10.1016/j.semcdb.2025.103640","DOIUrl":"10.1016/j.semcdb.2025.103640","url":null,"abstract":"<div><div>Mechanical forces are instrumental to shaping lifeforms, influencing development from the subcellular scale to the organismal scale. Here, we explore how mechanical forces manifest themselves in plants, driving deformations such as tissue folding, buckling, undulating patterns, and edge curving. These deformations result from modulations in fundamental cellular processes such as cell division, cell expansion, cell wall mechanics, and cytoskeletal organization. Cytoskeletal structure like microtubules, actin filaments respond to mechanical cues by generating localized stress patterns that shape cell structure and function. Mechanical forces can also regulate gene expression and gate mechanosensitive channels to regulate ion fluxes, thereby integrating physical forces with biochemical properties. We draw parallels between plant and animal kingdoms to show how these two kingdoms utilize mechanochemical effects to drive growth and morphogenesis.</div></div>","PeriodicalId":21735,"journal":{"name":"Seminars in cell & developmental biology","volume":"175 ","pages":"Article 103640"},"PeriodicalIF":6.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144813846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01Epub Date: 2025-09-29DOI: 10.1016/j.semcdb.2025.103656
Sanjeev S. Ranade
Congenital heart defects (CHD) are present in nearly 1 % of live births and are a leading cause of infant mortality. Despite advances in genome sequencing technologies and an increased understanding of the genes necessary for heart development, the etiology of a majority of CHD cases remains undefined. Recent breakthroughs in single-cell genomics, lineage tracing, and live imaging in animal models of cardiogenesis have revealed the precise spatiotemporal dynamics of discrete cell types in heart development. Here, I review how these findings have informed the development of new human pluripotent stem cell methods to generate a diverse range of cells in cardiogenesis. A key unifying theme is that multipotent cardiac progenitor cells are extraordinarily responsive to slight changes to signaling factors administered at various stages of cardiac differentiation. I highlight how the ability to make a range of cardiac cell types can be used to define context specific mechanisms of CHD. I then describe how in vitro human models of cardiogenesis are especially important in cases of severe forms of CHD, such as single ventricle disorders, for which the complex genetic underlying mechanisms are poorly defined and animal models are lacking.
{"title":"In vitro modeling of cell types in cardiogenesis and congenital heart disease","authors":"Sanjeev S. Ranade","doi":"10.1016/j.semcdb.2025.103656","DOIUrl":"10.1016/j.semcdb.2025.103656","url":null,"abstract":"<div><div>Congenital heart defects (CHD) are present in nearly 1 % of live births and are a leading cause of infant mortality. Despite advances in genome sequencing technologies and an increased understanding of the genes necessary for heart development, the etiology of a majority of CHD cases remains undefined. Recent breakthroughs in single-cell genomics, lineage tracing, and live imaging in animal models of cardiogenesis have revealed the precise spatiotemporal dynamics of discrete cell types in heart development. Here, I review how these findings have informed the development of new human pluripotent stem cell methods to generate a diverse range of cells in cardiogenesis. A key unifying theme is that multipotent cardiac progenitor cells are extraordinarily responsive to slight changes to signaling factors administered at various stages of cardiac differentiation. I highlight how the ability to make a range of cardiac cell types can be used to define context specific mechanisms of CHD. I then describe how <em>in vitro</em> human models of cardiogenesis are especially important in cases of severe forms of CHD, such as single ventricle disorders, for which the complex genetic underlying mechanisms are poorly defined and animal models are lacking.</div></div>","PeriodicalId":21735,"journal":{"name":"Seminars in cell & developmental biology","volume":"175 ","pages":"Article 103656"},"PeriodicalIF":6.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145200934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01Epub Date: 2025-10-15DOI: 10.1016/j.semcdb.2025.103662
Ronan Bouzignac, Magali Suzanne
Mechanical forces play essential roles during morphogenesis, enabling cells to change shape or reorganize to form new structures. Recent questions in the field of mechanobiology focus on how these locally generated forces propagate and the extent of their propagation. This phenomenon can be observed at multiple scales (across tissues, where supracellular actomyosin structures interconnected at cell–cell junctions transmit forces, or within individual cells, where mechanical cues can influence the nucleus). In the first part of this review, we highlight recent advances in our understanding of force propagation along epithelial apical surfaces, including factors that facilitate it, such as tissue curvature and polarity. In the second part, we examine how mechanical forces affect nuclear shape and integrity at the single-cell level, beginning with in vitro studies of nuclear responses to mechanical stress and extending to the less-explored mechanical behavior of nuclei in more complex, integrated model systems.
{"title":"Mechanics of force transmission in epithelia: From cell-to-cell propagation to nuclear response","authors":"Ronan Bouzignac, Magali Suzanne","doi":"10.1016/j.semcdb.2025.103662","DOIUrl":"10.1016/j.semcdb.2025.103662","url":null,"abstract":"<div><div>Mechanical forces play essential roles during morphogenesis, enabling cells to change shape or reorganize to form new structures. Recent questions in the field of mechanobiology focus on how these locally generated forces propagate and the extent of their propagation. This phenomenon can be observed at multiple scales (across tissues, where supracellular actomyosin structures interconnected at cell–cell junctions transmit forces, or within individual cells, where mechanical cues can influence the nucleus). In the first part of this review, we highlight recent advances in our understanding of force propagation along epithelial apical surfaces, including factors that facilitate it, such as tissue curvature and polarity. In the second part, we examine how mechanical forces affect nuclear shape and integrity at the single-cell level, beginning with <em>in vitro</em> studies of nuclear responses to mechanical stress and extending to the less-explored mechanical behavior of nuclei in more complex, integrated model systems.</div></div>","PeriodicalId":21735,"journal":{"name":"Seminars in cell & developmental biology","volume":"175 ","pages":"Article 103662"},"PeriodicalIF":6.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145308365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01Epub Date: 2025-08-11DOI: 10.1016/j.semcdb.2025.103642
Kosei Tomida , Huan Ting Ong , Jennifer L. Young , Chii Jou Chan
In recent years, tissue mechanics has been recognized not as a passive outcome of development but may function as upstream regulators to guide cellular functions such as proliferation, migration, and differentiation. In mammalian ovaries, cross-scale mechanical signals arising from tissue deformation, extracellular matrix architecture, and intrafollicular pressure dynamically evolve over the reproductive lifespan, contributing to a complex biomechanical landscape. Despite increasing recognition of their role in regulating follicle development, mechanical signals from ovarian microenvironment are still often considered separately from changes in gene expression and metabolic pathways. In addition, comprehensive mapping of the ovarian mechano-microenvironment remains lacking, in part due to challenges in assessing mechanical information in ovaries. Here we discuss how emerging biophysical techniques, including the latest advancement in various omics technologies, allow us to probe ovarian mechanics across multiple length scales. Such an integrated approach will provide new insights on how force transmission, matrix remodeling, and cellular signaling intersect within defined spatial niches to regulate ovarian dynamics, paving the way for future understanding of the mechanobiological basis of reproductive disorders.
{"title":"Capturing ovarian dynamics through spatial profiling of the mechano-microenvironment","authors":"Kosei Tomida , Huan Ting Ong , Jennifer L. Young , Chii Jou Chan","doi":"10.1016/j.semcdb.2025.103642","DOIUrl":"10.1016/j.semcdb.2025.103642","url":null,"abstract":"<div><div>In recent years, tissue mechanics has been recognized not as a passive outcome of development but may function as upstream regulators to guide cellular functions such as proliferation, migration, and differentiation. In mammalian ovaries, cross-scale mechanical signals arising from tissue deformation, extracellular matrix architecture, and intrafollicular pressure dynamically evolve over the reproductive lifespan, contributing to a complex biomechanical landscape. Despite increasing recognition of their role in regulating follicle development, mechanical signals from ovarian microenvironment are still often considered separately from changes in gene expression and metabolic pathways. In addition, comprehensive mapping of the ovarian mechano-microenvironment remains lacking, in part due to challenges in assessing mechanical information in ovaries. Here we discuss how emerging biophysical techniques, including the latest advancement in various omics technologies, allow us to probe ovarian mechanics across multiple length scales. Such an integrated approach will provide new insights on how force transmission, matrix remodeling, and cellular signaling intersect within defined spatial niches to regulate ovarian dynamics, paving the way for future understanding of the mechanobiological basis of reproductive disorders.</div></div>","PeriodicalId":21735,"journal":{"name":"Seminars in cell & developmental biology","volume":"175 ","pages":"Article 103642"},"PeriodicalIF":6.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144813799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01Epub Date: 2025-08-21DOI: 10.1016/j.semcdb.2025.103638
Megha Maria Jacob, Muriel Grammont
The formation and the development of the Drosophila egg involves multiple mechanical cross-talks between germline cells, somatic cells and the surrounding basement membrane. In this review, we discuss several development stages when the sources, as well as the roles, of mechanical forces in egg shape establishment are well defined. The examples described here illustrate the diversity of these forces as well as of the tools used to measure them and of the outcome each of them generates. We examine their contributions and their integration to morphogenesis. We discuss the limitations of our current knowledge, the importance of developing novel approaches and the support that modelling could bring to tackle some issues. One major future challenge is to understand how robustness in shaping the egg is achieved when the contributors act in different cell types and at different times. Studying Drosophila egg formation thus remains an exciting model in developmental biology as it must integrate a variety of biomechanical inputs from its environment, in addition of the biochemical signals discovered in the past.
{"title":"The mechanics behind the Drosophila egg","authors":"Megha Maria Jacob, Muriel Grammont","doi":"10.1016/j.semcdb.2025.103638","DOIUrl":"10.1016/j.semcdb.2025.103638","url":null,"abstract":"<div><div>The formation and the development of the <em>Drosophila</em> egg involves multiple mechanical cross-talks between germline cells, somatic cells and the surrounding basement membrane. In this review, we discuss several development stages when the sources, as well as the roles, of mechanical forces in egg shape establishment are well defined. The examples described here illustrate the diversity of these forces as well as of the tools used to measure them and of the outcome each of them generates. We examine their contributions and their integration to morphogenesis. We discuss the limitations of our current knowledge, the importance of developing novel approaches and the support that modelling could bring to tackle some issues. One major future challenge is to understand how robustness in shaping the egg is achieved when the contributors act in different cell types and at different times. Studying <em>Drosophila</em> egg formation thus remains an exciting model in developmental biology as it must integrate a variety of biomechanical inputs from its environment, in addition of the biochemical signals discovered in the past.</div></div>","PeriodicalId":21735,"journal":{"name":"Seminars in cell & developmental biology","volume":"175 ","pages":"Article 103638"},"PeriodicalIF":6.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144878521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01Epub Date: 2025-09-27DOI: 10.1016/j.semcdb.2025.103655
Yicheng Dong , Spandan Maiti , Lance A. Davidson
Viscoelasticity is a fundamental feature of biological tissues and plays a vital role in cells and tissues. This review explores the role of viscoelasticity in mechanobiology, emphasizing its impact on morphogenesis and organogenesis during embryonic development. We discuss the viscoelastic behavior of cells and tissues and its role in how cells and tissues absorb, dissipate, and transmit mechanical energy. We summarize experimental techniques such as Atomic Force Microscopy (AFM), Micropipette Aspiration (MA), and Tissue Stretchers, that have been used to quantify or observe the effects of viscoelasticity. Mathematical models of viscoelasticity, such as the Standard Linear Solid (SLS) model and advanced fractional models are introduced and discussed for their ability to capture the complexity of the viscoelastic behavior of biological systems. The role of subcellular complexes, including the cytoskeleton, extracellular matrix, and nucleus, are also reviewed for their contributions to tissue viscoelastic behavior. We also identify and discuss knowledge gaps, particularly in understanding how dynamic mechanical cues influence viscoelastic responses across cellular and tissue scales. A deeper exploration of these mechanisms, particularly those that determine viscoelastic behavior of cells and tissues, is needed for advancing our understanding of embryonic development and tissue morphogenesis.
{"title":"Viscoelasticity during development: What is it? and why should you care?","authors":"Yicheng Dong , Spandan Maiti , Lance A. Davidson","doi":"10.1016/j.semcdb.2025.103655","DOIUrl":"10.1016/j.semcdb.2025.103655","url":null,"abstract":"<div><div>Viscoelasticity is a fundamental feature of biological tissues and plays a vital role in cells and tissues. This review explores the role of viscoelasticity in mechanobiology, emphasizing its impact on morphogenesis and organogenesis during embryonic development. We discuss the viscoelastic behavior of cells and tissues and its role in how cells and tissues absorb, dissipate, and transmit mechanical energy. We summarize experimental techniques such as Atomic Force Microscopy (AFM), Micropipette Aspiration (MA), and Tissue Stretchers, that have been used to quantify or observe the effects of viscoelasticity. Mathematical models of viscoelasticity, such as the Standard Linear Solid (SLS) model and advanced fractional models are introduced and discussed for their ability to capture the complexity of the viscoelastic behavior of biological systems. The role of subcellular complexes, including the cytoskeleton, extracellular matrix, and nucleus, are also reviewed for their contributions to tissue viscoelastic behavior. We also identify and discuss knowledge gaps, particularly in understanding how dynamic mechanical cues influence viscoelastic responses across cellular and tissue scales. A deeper exploration of these mechanisms, particularly those that determine viscoelastic behavior of cells and tissues, is needed for advancing our understanding of embryonic development and tissue morphogenesis.</div></div>","PeriodicalId":21735,"journal":{"name":"Seminars in cell & developmental biology","volume":"175 ","pages":"Article 103655"},"PeriodicalIF":6.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145157801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01Epub Date: 2025-10-08DOI: 10.1016/j.semcdb.2025.103660
Dheeraj Rayamajhi , Sudipto Roy
Multiciliated cells (MCCs) differentiate numerous motile cilia on their apical surface. Beating of these ciliary arrays drive organismal locomotion in fluid medium and function to promote fluid flow over epithelia in various tissues. Besides these mechanical functions, MCC cilia are also sensory organelles, capable of transducing a variety of environmental and intercellular signals. Defective form and functioning of these cells can lead to a variety of clinical manifestations in humans, ranging from severe airway disease to infertility. This review gives an overview of multiple aspects of the biology of MCCs such as their distribution in plants and animals, the gene regulatory networks that organize their specification and differentiation, particularly the latest insights into the fascinating ability of post-mitotic MCC precursor cells to generate hundreds of centrioles for multiciliation. We also discuss how disruption to MCC formation or abnormalities in their ciliary motility cause ciliopathies, affecting multiple organs of the human body, and current status of treatment for these diseases.
{"title":"Multiciliated cells: Development, functions and disease relevance","authors":"Dheeraj Rayamajhi , Sudipto Roy","doi":"10.1016/j.semcdb.2025.103660","DOIUrl":"10.1016/j.semcdb.2025.103660","url":null,"abstract":"<div><div>Multiciliated cells (MCCs) differentiate numerous motile cilia on their apical surface. Beating of these ciliary arrays drive organismal locomotion in fluid medium and function to promote fluid flow over epithelia in various tissues. Besides these mechanical functions, MCC cilia are also sensory organelles, capable of transducing a variety of environmental and intercellular signals. Defective form and functioning of these cells can lead to a variety of clinical manifestations in humans, ranging from severe airway disease to infertility. This review gives an overview of multiple aspects of the biology of MCCs such as their distribution in plants and animals, the gene regulatory networks that organize their specification and differentiation, particularly the latest insights into the fascinating ability of post-mitotic MCC precursor cells to generate hundreds of centrioles for multiciliation. We also discuss how disruption to MCC formation or abnormalities in their ciliary motility cause ciliopathies, affecting multiple organs of the human body, and current status of treatment for these diseases.</div></div>","PeriodicalId":21735,"journal":{"name":"Seminars in cell & developmental biology","volume":"175 ","pages":"Article 103660"},"PeriodicalIF":6.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145259013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}