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Previous work has demonstrated that the Dpp-Tkv gradients from several models for the embryonic development of a fruit fly wing may not exhibit both the biological robustness and the desired multi-fate profile. This paper explores the implications of introducing non-receptors and negative feedback on receptor production to better understand the numerical findings of previous work that suggest biological robustness with respect to changes in ligand synthesis rate is indeed achievable with such a model. The model is formulated and the existence and uniqueness of a corresponding steady-state solution is established. Some criterion for a robust, multi-fate morphogen gradient is introduced and it is shown that the presence of non-receptors can lead to a biologically feasible or realistic morphogen gradient while concurrent feedback can potentially provide a marginal improvement in robustness as well. Lastly, alternative forms of feedback are considered briefly.
A physicist's guide to the phenomena of life Interactions between the fields of physics and biology reach back over a century, and some of the most significant developments in biology—from the discovery of DNA's structure to imaging of the human brain—have involved collaboration across this disciplinary boundary. For a new generation of physicists, the phenomena of life pose exciting challenges to physics itself, and biophysics has emerged as an important subfield of this discipline. Here, William Bialek provides the first graduate-level introduction to biophysics aimed at physics students. Bialek begins by exploring how photon counting in vision offers important lessons about the opportunities for quantitative, physics-style experiments on diverse biological phenomena. He draws from these lessons three general physical principles—the importance of noise, the need to understand the extraordinary performance of living systems without appealing to finely tuned parameters, and the critical role of the representation and flow of information in the business of life. Bialek then applies these principles to a broad range of phenomena, including the control of gene expression, perception and memory, protein folding, the mechanics of the inner ear, the dynamics of biochemical reactions, and pattern formation in developing embryos. Featuring numerous problems and exercises throughout, Biophysics emphasizes the unifying power of abstract physical principles to motivate new and novel experiments on biological systems. Covers a range of biological phenomena from the physicist's perspective Features 200 problems Draws on statistical mechanics, quantum mechanics, and related mathematical concepts Includes an annotated bibliography and detailed appendixes
Stem cells are the focus of intense interest from a growing, multidisciplinary community of investigators with new tools for isolating and characterizing these elusive cell types. This volume, which features contributions from many of the world's leading laboratories, provides a uniquely broad and authoritative basis for understanding the biology of stem cells and the current excitement about their potential for clinical exploitation. It is an essential work of reference for investigators in embryology, hematology, and neurobiology, and their potential for clinical exploitation. It is an essential work of reference for investigators in embryology, hematology, and neurobiology, and their collaborators in the emerging field of regenerative medicine.
Here is a critical account of the experimental work of German biologist and Nobel laureate Hans Spemann, one of the founders of experimental embryology. The author, a distinguished developmental biologist, spent almost a decade in Spemann's laboratory. He examines Spemann's work and traces the different lines of investigation which emerged from his mentor's seminal research, and laid the foundation for modern cellular and developmental biology.
This book describes human development including sexual reproduction and stem cell research with the development of model organisms that are accessible to genetic and experimental analysis in readily understandable texts and 315 multi-colored graphics. The introductory account of model organisms selected from the entire animal kingdom presents general principles, which are then outlined in subsequent chapters devoted to, for example, sexual development; genes controlling development and their contemporary molecular-analysis methods; production of clones and transgenic animals; development of the nervous and circulatory systems; regenerative medicine and ageing. Finally the evolution of developmental toolkits and novelties is discussed including the genetic basis of the enlargement of the human forebrain. Separate boxes are devoted to controversial questions such as the benefits and problems of prenatal diagnostics or the construction of ancient body plans.
A concise, readable account of the principles underlying embryonic and appendage development in animals and plants, illustrated with colorful artwork and interviews with prominent investigators. Highly recommended for use in undergraduate and graduate courses.
The MD Anderson Solid Tumor Oncology series presents cutting-edge surgical treatment and medical therapy for specific sites. This volume, Pancreatic Cancer, addresses epidemiology and molecular biology, inherited syndromes, staging, surgical techniques, multimodality therapy, and emerging therapies. The individual chapters focus on narrow, specific topics to produce a reference work of value to those interested in pancreatic cancer from a clinical and translational research perspective. A must-have for surgical oncologists and general surgeons.
Current biological research demands the extensive use of sophisticated mathematical methods and computer-aided analysis of experiments and data. This highly interdisciplinary volume focuses on structural, dynamical and functional aspects of cellular systems and presents corresponding experiments and mathematical models. The book may serve as an introduction for biologists, mathematicians and physicists to key questions in cellular systems which can be studied with mathematical models. Recent model approaches are presented with applications in cellular metabolism, intra- and intercellular signaling, cellular mechanics, network dynamics and pattern formation. In addition, applied issues such as tumor cell growth, dynamics of the immune system and biotechnology are included.
Sequence - Evolution - Function is an introduction to the computational approaches that play a critical role in the emerging new branch of biology known as functional genomics. The book provides the reader with an understanding of the principles and approaches of functional genomics and of the potential and limitations of computational and experimental approaches to genome analysis. Sequence - Evolution - Function should help bridge the "digital divide" between biologists and computer scientists, allowing biologists to better grasp the peculiarities of the emerging field of Genome Biology and to learn how to benefit from the enormous amount of sequence data available in the public databases. The book is non-technical with respect to the computer methods for genome analysis and discusses these methods from the user's viewpoint, without addressing mathematical and algorithmic details. Prior practical familiarity with the basic methods for sequence analysis is a major advantage, but a reader without such experience will be able to use the book as an introduction to these methods. This book is perfect for introductory level courses in computational methods for comparative and functional genomics.
The causal analysis of insect embryogenesis; The development of spatial patterns in the integument of insects; The imaginal discs of drosophila; Role of hormones in insect development; The morphogenesis of patterns in drosophila.