This detailed book collects methodologies exploring mechanobiology, the involvement of mechanical forces in cell fate specification and in controlling single and collective cell behaviors such as directed migration, morphogenesis, wound healing, and the immune response. The volume features methods to quantify the mechanical properties of cells and adhesion proteins, to expose cells to external mechanical forces, to quantitatively characterize mechano-responses at various scales, to measure forces applied by cells on the extracellular matrix, as well as chapters on force measurement inside cells, probing cell signaling and gene expression in response to force, and biophysical modeling of cell shape and protein dynamics. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary material and reagents, step-by-step and readily reproducible protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Mechanobiology: Methods and Protocols aims to provide meaningful tools for cell and developmental biologists approaching the study of cell and tissue dynamics from a mechanobiological perspective, molecular biologists interested in the effects of force on proteins, as well as for cancer biologists and biophysicists.

The laws of nature encompass the small, the large, the few, and the many. In this book, we are concerned with classical (i.e., not quantum) many-body systems, which refers to any microscopic or macroscopic system that contains a large number of interacting entities. The nearest-neighbor Ising model, originally developed in 1920 by Wilhelm Lenz, forms a cornerstone in our theoretical understanding of collective effects in classical many-body systems and is to date a paradigm in statistical physics. Despite its elegant and simplistic description, exact analytical results in dimensions equal and larger than two are difficult to obtain. Therefore, much work has been done to construct methods that allow for approximate, yet accurate, analytical solutions. One of these methods is the Bethe-Guggenheim approximation, originally developed independently by Hans Bethe and Edward Guggenheim in 1935. This approximation goes beyond the well-known mean field approximation and explicitly accounts for pair correlations between the spins in the Ising model. In this book, we embark on a journey to exploit the full capacity of the Bethe-Guggenheim approximation, in non-uniform and non-equilibrium settings. Throughout we unveil the non-trivial and a priori non-intuitive effects of pair correlations in the classical nearest-neighbor Ising model, which are taken into account in the Bethe-Guggenheim approximation and neglected in the mean field approximation.

This book covers the recently developed understanding of Electro-Mechano-Biology (EMB) in which the focus is primarily on the couplings between the electric and mechanical fields. The emphasis lies on the analytical and computational aspects of EMB at the cellular level. The book is divided into two parts. In the first part, the author starts by defining and discussing the relevant basic aspects of the electrical and mechanical properties of cell membranes. He provides an overview of some of the ways analytical modelling of cell membrane electrodeformation (ED) and electroporation (EP) appears in a variety of contexts as well as a contemporary account of recent developments in computational approaches that can feature in the theory initiative, particularly in its attempt to describe the cohort of activities currently underway. Intended to serve as an introductory text and aiming to facilitate the understanding of the field to non-experts, this part does not dwell on the set of topics, such as cellular mechanosensing and mechanotransduction, irreversible EP, and atomistic molecular dynamics modelling of membrane EP. The second (and larger) part of the book is devoted to a presentation of the necessary analytical and computational tools to illustrate the ideas behind EMB and illuminate physical insights. Brief notes on the history of EMB and its many applications describing the variety of ideas and approaches are also included. In this part, the background of the first principles and practical calculation methods are discussed to highlight aspects that cannot be found in a single volume.

Engineering and Physical Approaches to Cancer addresses the newest research at this interface between cancer biology and the physical sciences. Several chapters address the mechanobiology of collective and individual cell migration, including experimental, theoretical, and computational perspectives. Other chapters consider the crosstalk of biological, chemical, and physical cues in the tumor microenvironment, including the role of senescence, polyploid giant cells, TGF-beta, metabolism, and immune cells. Further, chapters focus on circulating tumor cells and metastatic colonization, highlighting both bioengineered models as well as diagnostic technologies. Further, this book features the work of emerging and diverse investigators in this field, who have already made impressive cross-disciplinary scientific contributions. This book is designed for a general audience, particularly researchers conversant in cancer biology but less familiar with engineering (and vice-versa). Thus, we envision that this book will be suitable for faculty, postdoctoral fellows, and advanced graduate students across medicine, biological sciences, and engineering. We also anticipate this book will be of interest to medical professionals and trainees, as well as researchers in the pharmaceutical and biomedical device industry. Describes physical aspects of cancer, including collective cell migration, the aberrant tumor microenvironment, circulating tumor cells, and metastatic colonization. First volume available on the topic of physical aspects of cancer

Aimed at postgraduate students in a variety of biology-related disciplines, this volume presents a collection of mathematical and computational single-cell-based models and their application. The main sections cover four general model groupings: hybrid cellular automata, cellular potts, lattice-free cells, and viscoelastic cells. Each section is introduced by a discussion of the applicability of the particular modelling approach and its advantages and disadvantages, which will make the book suitable for students starting research in mathematical biology as well as scientists modelling multicellular processes.