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  • Books  (8)
  • Medicine Research.  (8)
  • Cham :Springer International Publishing :  (8)
  • Berlin ; Heidelberg : Springer
  • Cambridge [u.a.] : Cambridge Univ. Press
  • Washington, DC : United States Gov. Print. Off.
Collection
  • Books  (8)
Publisher
  • Cham :Springer International Publishing :  (8)
  • Berlin ; Heidelberg : Springer
  • Cambridge [u.a.] : Cambridge Univ. Press
  • Washington, DC : United States Gov. Print. Off.
Language
Years
DDC
  • 1
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Medicine Research. ; Biology Research. ; Molecular biology. ; Metabolism. ; Genetics. ; Cytology. ; Biomedical Research. ; Molecular Biology. ; Metabolism. ; Genetics and Genomics. ; Cell Biology.
    Description / Table of Contents: Introduction (Moray J Campbell & Charlotte L Bevan) -- Overview (Jason Carroll) -- Part I: Reproduction and Development -- Chapter 1. Nuclear receptors in pregnancy and outcomes: clinical perspective (Luiza Borges Manna & Catherine Williamson) -- Chapter 2. Female Reproductive Systems: hormone dependence and receptor expression (Philippa TK Saunders) -- Chapter 3. Nuclear receptors in ovarian function (Darryl Russell & Doan Thao Dinh) -- Part II: Metabolism -- Chapter 4. Nuclear receptors in energy metabolism (Alina Walth, Stephan Herzig & Maria Rohm) -- Chapter 5. Nuclear Receptors and lipid sensing (James L Thorne and Giorgia Cioccoloni) -- Part III: Central Systems -- Chapter 6. Corticosteroid receptors in Cardiac health and disease (Jessica Ivy, Gillian Gray, Megan Holmes, Martin Denvir, Karen Chapman) -- Chapter 7. Physiological convergence and antagonism between GR and PPARγ in inflammation and metabolism (Marija Dacic, Gayathri Shibu and Inez Rogatsky) -- Chapter 8. Circadian Rhythm and Nuclear Receptors (David W Ray) -- Chapter 9. Vitamin D and gut health (James C Fleet) -- Part IV: Cancer -- Chapter 10. Estrogen Receptor alpha and ESR1 Mutations in Breast Cancer (Jaymin Patel & Rinath Jeselsohn) -- Chapter 11. AR structural variants and prostate cancer (Laura Cato) -- Chapter 12. ERβ and inflammation (Linnea Hases, Amena Archer & Cecilia Williams) -- Chapter 13. Genomic insights into non-steroidal nuclear receptors in prostate and breast cancer (Sajad A Wani & Moray Campbell) -- Part V: New developments in transcriptional control by nuclear receptors -- Chapter 14. Protein condensation in the nuclear receptor family; implications for transcriptional output (Monique Appelman, Elle Hollaar, Jurian Schuijers & Saskia WC van Mil) -- Chapter 15. Prostate cancer epigenetic plasticity and enhancer heterogeneity: molecular causes, consequences and clinical implications (Jeroen Kneppers, Andries M Bergman & Wilbert Zwart) -- Chapter 16. Epigenetic coregulation of androgen receptor signaling (Rayzel Fernandes, Damien A. Leach & Charlotte Bevan) -- Part VI: Clinical Translation -- Chapter 17. Cllnical Translation: Targeting the Estrogen Receptor (Jennifer O. Lauchle & Ciara Metcalfe) -- Chapter 18. Drugging the undruggable: targeting the N-terminal domain of nuclear hormone receptors (Marianne Sadar) -- Chapter 19. Genetic Variation and Mendelian Randomization approaches (Mojgan Yazdanpanah, Nahid Yazdanpanah & Despoina Manousaki) -- Index.
    Abstract: This book addresses and dissects the roles and crosstalk mechanisms for the 48 human nuclear receptors (NR) in human health and disease. After a State-of-the-Art introduction by an undisputed and celebrated field leader to provide an overview of the field and its significance, chapters are organized into six sections. The first three sections discuss NR roles in Reproduction & Development, Metabolism and Central Systems. These present to the reader our current understanding of NR signaling in the development and functioning of the reproductive system; the roles in the regulation of energy metabolism; and how NR signaling is more widely integrated into systemic functions from calcium flux to circadian rhythm. The subsequent three sections dissect how aberrant NR functions drive Cancer; how new insights into Genomic Interaction are helping to reveal how NR disruption drives disease; and finally, how Translational Efforts are exploiting this understanding from developing novel NR ligands to establishing how underlying genetic variation impacts NR function. Within these sections the chapters also illustrate emerging understanding of how the epigenome and non-coding genome combine to regulate NR function and impact dysfunction. Increasingly these insights cross-fertilize over cell and disease boundaries and it is unsurprising that NR are being explored in novel and new arenas such as the context of neurological disorders and depression. Thus, there is wide scope for re-purposing of licensed drugs and development of new NR-targeting therapies for a host of conditions and diseases. This unique book brings together many of the leading figures in NR research from across the globe, to discuss emerging roles and their implications for human health and disease. It summarizes the state of the art and shows signposts for future research to further shape this influential field.
    Type of Medium: Online Resource
    Pages: XII, 346 p. 1 illus. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783031118364
    Series Statement: Advances in Experimental Medicine and Biology, 1390
    DDC: 610.72
    Language: English
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  • 2
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Life sciences. ; Medicine Research. ; Biology Research. ; Science History. ; Science Philosophy. ; Life Sciences. ; Biomedical Research. ; History of Science. ; Philosophy of Science.
    Description / Table of Contents: Foreword -- Preface -- Chapter 1. The Year 1975 -- Chapter 2. The Effects of the Social and Behavioral Sciences -- Chapter 3. Little Biology and Biology of the Little -- Chapter 4. The Big End of the Spectrum -- Chapter 5. A Second “Time of Tumult” and A New Home for Biology -- Chapter 6. Technology and the “Fearless Biologists” -- Chapter 7. Genes and Beyond -- Chapter 8. Integrating Biology -- Chapter 9. Expanding Big Bio -- Epilogue -- Index.
    Abstract: National Science Foundation (NSF) is a unique federal agency because it supports scientific research financially, but does not engage in scientific work itself. Its history is known only in part because the NSF is a vibrant, expanding, and living entity that makes the final telling of its story impossible. Much can be learned from its beginning as well as its component parts. If the founding of the NSF in 1950 was couched in an era of physics, especially atomic physics, certainly by the end of the 20th century and the beginning of the 21st, biology was, and remains, the queen of sciences for the predictable future. This book highlights the elite status of America’s biological sciences as they were funded, affected, and, to a very real degree, interactively guided by the NSF. It examines important events in the earlier history of the Foundation because they play strongly upon the development of the various biology directorates. Issues such as education, applied research, medical science, the National Institutes of Health, the beginnings of biotechnology, and other matters are also discussed.
    Type of Medium: Online Resource
    Pages: XLI, 611 p. 37 illus., 1 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9783030563677
    DDC: 570
    Language: English
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  • 3
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Medicine Research. ; Biology Research. ; Medical sciences. ; Statistics . ; Social sciences. ; Humanities. ; Biomedical Research. ; Health Sciences. ; Statistics. ; Humanities and Social Sciences.
    Description / Table of Contents: Preface -- Section I Cluster and Classification Models -- Hierarchical Clustering and K-means Clustering to Identify Subgroups in Surveys (50 Patients) -- Density-based Clustering to Identify Outlier Groups in Otherwise Homogeneous Data (50 Patients) -- Two Step Clustering to Identify Subgroups and Predict Subgroup Memberships in Individual Future Patients (120 Patients) -- Nearest Neighbors for Classifying New Medicines (2 New and 25 Old Opioids) -- Predicting High-Risk-Bin Memberships (1445 Families) -- Predicting Outlier Memberships (2000 Patients) -- Data Mining for Visualization of Health Processes (150 Patients) -- Trained Decision Trees for a More Meaningful Accuracy (150 Patients) -- Typology of Medical Data (51 Patients) -- Predictions from Nominal Clinical Data (450 Patients) -- Predictions from Ordinal Clinical Data (450 Patients) -- Assessing Relative Health Risks (3000 Subjects) -- Measurement Agreements (30 Patients) -- Column Proportions for Testing Differences between Outcome Scores (450 Patients) -- Pivoting Trays and Tables for Improved Analysis of Multidimensional Data (450 Patients) -- Online Analytical Procedure Cubes for a More Rapid Approach to Analyzing Frequencies (450 Patients) -- Restructure Data Wizard for Data Classified the Wrong Way (20 Patients) -- Control Charts for Quality Control of Medicines (164 Tablet Desintegration Times) -- Section II (Log) Linear Models -- Linear, Logistic, and Cox Regression for Outcome Prediction with Unpaired Data (20, 55, and 60 Patients) -- Generalized Linear Models for Outcome Prediction with Paired Data (100 Patients and 139 Physicians) -- Generalized Linear Models for Predicting Event-Rates (50 Patients) -- Factor Analysis and Partial Least Squares (PLS) for Complex-Data Reduction (250 Patients) -- Optimal Scaling of High-sensitivity Analysis of Health Predictors (250 Patients) -- Discriminant Analysis for Making a Diagnosis from Multiple Outcomes (45 Patients) -- Weighted Least Squares for Adjusting Efficacy Data with Inconsistent Spread (78 Patients) -- Partial Correlations for Removing Interaction Effects from Efficacy Data (64 Patients) -- Canonical Regression for Overall Statistics of Multivariate Data (250 Patients) -- Multinomial Regression for Outcome Categories (55 Patients) -- Various Methods for Analyzing Predictor Categories (60 and 30 Patients) -- Random Intercept Models for Both Outcome and Predictor Categories (55 Patients) -- Automatic Regression for Maximizing Linear Relationships (55 Patients) -- Simulation Models for Varying Predictors (9000 Patients) -- Generalized Linear Mixed Models for Outcome Prediction from Mixed Data (20 Patients) -- Two Stage Least Squares for Linear Models with Problematic Predictors (35 Patients) -- Autoregressive Models for Longitudinal Data (120 Monthly Population Records) -- Variance Components for Assessing the Magnitude of Random Effects (40 Patients) -- Ordinal Scaling for Clinical Scores with Inconsistent Intervals (900 Patients) -- Loglinear Models for Assessing Incident Rates with Varying Incident Risks (12 Populations) -- Loglinear Models for Outcome Categories (445 Patients) -- More on Polytomous Outcome Regressions (450 Patients) -- Heterogeneity in Clinical Research: Mechanisms Responsible (20 Studies) -- Performance Evaluation of Novel Diagnostic Tests (650 and 588 Patients) -- Quantile - Quantile Plots, a Good Start for Looking at Your Medical Data (50 Cholesterol Measurements and 52 Patients) -- Rate Analysis of Medical Data Better than Risk Analysis (52 Patients) -- Trend Tests Will Be Statistically Significant if Traditional Tests Are not (30 and 106 Patients) -- Doubly Multivariate Analysis of Variance for Multiple Observations from Multiple Outcome Variables (16 Patients) -- Probit Models for Estimating Effective Pharmacological Treatment Dosages (14 Tests) -- Interval Censored Data Analysis for Assessing Mean Time to Cancer Relapse (51 Patients) -- Structural Equation Modeling with SPSS Analysis of Moment Structures (Amos) for Cause Effect Relationships I (35 Patients) -- Structural Equation Modeling with SPSS Analysis of Moment Structures (Amos) for Cause Effect Relationships II (35 Patients) -- Firth's Bias-adjusted Estimates for Biased Logistic Data Models (23 Challenger launchings) -- Omics Research (125 Patients, 24 Predictor Variables) -- Sparse Canonical Correlation Analysis (12209 Genes in 45 Glioblastoma Carriers) -- Eigenvalues, Eigenvectors and Eigenfunctions (45 and 250 Patients) -- Section III Rules Models -- Neural Networks for Assessing Relationships that are Typically Nonlinear (90 Patients) -- Complex Samples Methodologies for Unbiased Sampling (9,678 Persons) -- Correspondence Analysis for Identifying the Best of Multiple Treatments in Multiple Groups (217 Patients) -- Decision Trees for Decision Analysis (1004 and 953 Patients) -- Multidimensional Scaling for Visualizing Experienced Drug Efficacies (14 Pain-killers and 42 Patients) -- Stochastic Processes for Long Term Predictions from Short Term Observations -- Optimal Binning for Finding High Risk Cut-offs (1445 Families) -- Conjoint Analysis for Determining the Most Appreciated Properties of Medicines to Be Developed (15 Physicians) -- Item Response Modeling for Analyzing Quality of Life with Better Precision (1000 Patients) -- Survival Studies with Varying Risks of Dying (50 and 60 Patients) -- Fuzzy Logic for Improved Precision of Pharmacological Data Analysis (9 Induction Dosages) -- Automatic Data Mining for the Best Treatment of a Disease (90 Patients) -- Pareto Charts for Identifying the Main Factors of Multifactorial Outcomes (2000 Admissions to Hospital) -- Radial Basis Neural Networks for Multidimensional Gaussian Data (90 persons) -- Automatic Modeling for Drug Efficacy Prediction (250 Patients) -- Automatic Modeling for Clinical Event Prediction (200 Patients) -- Automatic Newton Modeling in Clinical Pharmacology (15 Alfentanil dosages, 15 Quinidine time-concentration relationships) -- Spectral Plots for High Sensitivity Assessment of Periodicity (6 Years’ Monthly C Reactive Protein Levels) -- Runs Test for Identifying Best Analysis Models (21 Estimates of Quantity and Quality of Patient Care) -- Evolutionary Operations for Health Process Improvement (8 Operation Room Settings) -- Bayesian Networks for Cause Effect Modeling (600 Patients) -- Support Vector Machines for Imperfect Nonlinear Data (200 Patients) -- Multiple Response Sets for Visualizing Clinical Data Trends (811 Patient Visits) -- Protein and DNA Sequence Mining -- Iteration Methods for Crossvalidation (150 Patients) -- Testing Parallel-groups with Different Sample Sizes and Variances (5 Parallel-group Studies) -- Association Rules between Exposure and Outcome (50 and 60 Patients) -- Confidence Intervals for Proportions and Differences in Proportions (100 and 75 Patients) -- Ratio Statistics for Efficacy Analysis of New Drugs 50 Patients) -- Fifth Order Polynomes of Circadian Rhythms (1 Patient) -- Gamma Distribution for Estimating the Predictors of Medical Outcomes (110 Patients) -- Index.
    Abstract: Adequate health and health care is no longer possible without proper data supervision from modern machine learning methodologies like cluster models, neural networks, and other data mining methodologies. The current book is the first publication of a complete overview of machine learning methodologies for the medical and health sector, and it was written as a training companion, and as a must-read, not only for physicians and students, but also for any one involved in the process and progress of health and health care. In this second edition the authors have removed the textual errors from the first edition. Also, the improved tables from the first edition, have been replaced with the original tables from the software programs as applied. This is, because, unlike the former, the latter were without error, and readers were better familiar with them. The main purpose of the first edition was, to provide stepwise analyses of the novel methods from data examples, but background information and clinical relevance information may have been somewhat lacking. Therefore, each chapter now contains a section entitled "Background Information". Machine learning may be more informative, and may provide better sensitivity of testing than traditional analytic methods may do. In the second edition a place has been given for the use of machine learning not only to the analysis of observational clinical data, but also to that of controlled clinical trials. Unlike the first edition, the second edition has drawings in full color providing a helpful extra dimension to the data analysis. Several machine learning methodologies not yet covered in the first edition, but increasingly important today, have been included in this updated edition, for example, negative binomial and Poisson regressions, sparse canonical analysis, Firth's bias adjusted logistic analysis, omics research, eigenvalues and eigenvectors. .
    Type of Medium: Online Resource
    Pages: XXX, 667 p. 548 illus., 131 illus. in color. , online resource.
    Edition: 2nd ed. 2020.
    ISBN: 9783030339708
    DDC: 610.72
    Language: English
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  • 4
    Keywords: Medical genetics. ; Stem cells. ; Medicine Research. ; Biology Research. ; Biotechnology. ; Medical Genetics. ; Stem Cell Biology. ; Biomedical Research. ; Biotechnology.
    Description / Table of Contents: Chapter 1: Introduction: a decade teaching stem cell biology -- Chapter 2: Preimplantation development: from germ cells to blastocyst -- Chapter 3: Origins of pluripotency: from stem cells to germ cells -- Chapter 4: Human induced pluripotent stem (hiPS) cells: generation and applications -- Chapter 5: Cellular reprogramming and aging -- Chapter 6: Cloning -- Chapter 7: Stem cells in plant development -- Chapter 8: Axial stem cells and the formation of the vertebrate body -- Chapter 9: Skeletal muscle development - from stem cells to body movement -- Chapter 10: Cardiac regeneration and repair: from mechanisms to therapeutic strategies -- Chapter 11: Reproducing human brain development in vitro: generating cerebellar neurons for modelling cerebellar ataxias -- Chapter 12: Neurotoxicology and disease modelling -- Chapter 13: Mesenchymal stem cells for cutaneous wound healing.
    Abstract: This textbook will support graduate students with learning materials rich in the basic concepts of stem cell biology, in its most widespread and updated perspective. The chapters are conceived in a way for students to understand the meaning of pluripotency, the definition of embryonic stem cells and the formation of multicellular structures such as organoids together with the underlying principles of their epigenetic. This textbook also discusses adult stem cells and the potential use of these cells, in particular neural, mesenchymal, and several types of muscular cells, in biomedical research and clinical applications. This textbook represents a vital complement to the text on Essential Current Concepts of Stem Cell Biology, also published in the Learning Materials in Biosciences textbook series.
    Type of Medium: Online Resource
    Pages: XXII, 267 p. 85 illus., 79 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030439392
    Series Statement: Learning Materials in Biosciences,
    DDC: 616.042
    Language: English
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  • 5
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Medicine Research. ; Biology Research. ; Regenerative medicine. ; Biomedical engineering. ; Biomaterials. ; Biomedical Research. ; Regenerative Medicine and Tissue Engineering. ; Biomedical Engineering and Bioengineering. ; Biomaterials.
    Description / Table of Contents: Microfluidic devices and three dimensional-printing strategies for in vitro models of bone -- Microfluidics for Processing of biomaterials -- Organ-on-a-chip -- Body-on-a-chip: Current challenges -- Biomaterials and microfluidics for liver models -- Microfluidics for CNS research -- Biomaterials and microfluidics for angiogenesis research -- Biomaterials and microfluidics for drug discovery and development -- Microfluidics for diagnostics -- Nanoparticles and Microfluidic devices in cancer research.
    Abstract: This contributed volume reviews the latest advances on relevant 3D tissue engineered in vitro models of disease making use of biomaterials and microfluidics. The main focus of this book is on advanced biomaterials and microfluidics technologies that have been used in in vitro mimetic 3D models of human diseases and show great promise in revolutionizing personalized medicine. Readers will discover important topics involving biomaterials and microfluidics design, advanced processing techniques, and development and validation of organ- and body-on-a-chip models for bone, liver, and cancer research. An in depth discussion of microfabrication methods for microfluidics development is also provided. This work is edited by two truly multidisciplinary scientists and includes important contributions from well-known experts in their fields. The work is written for both early stage and experienced researchers, and well-established scientists enrolled in the fields of biomaterials, microfluidics, and tissue engineering, and is especially suited to those who wish to become acquainted with the principles and latest developments of in vitro models of diseases, such as professionals working in pharma, medicine, and engineering.
    Type of Medium: Online Resource
    Pages: VII, 175 p. 42 illus., 40 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030365882
    Series Statement: Advances in Experimental Medicine and Biology, 1230
    DDC: 610.72
    Language: English
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  • 6
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Cardiovascular system. ; Physiology. ; Biophysics. ; Cell interaction. ; Medicine Research. ; Biology Research. ; Regenerative medicine. ; Cardiovascular Physiology. ; Mechanobiological Cell Signaling. ; Biomedical Research. ; Regenerative Medicine and Tissue Engineering.
    Description / Table of Contents: Foreword -- Cardiac mechanoperception and mechanotransduction - Mechanisms of stretch sensing in cardiomyocytes and implications for cardiomyopathy -- Mechanotransduction in heart development -- Mechanobiology of cardiac growth in health and disease -- The role of mechanosensitive signaling cascades in repair and fibrotic remodeling of the infarcted heart -- Mechanobiology of cardiac fibroblasts in cardiac remodelling -- Mechanobiology of cardiac remodelling in cardiomyopathy -- Biophysical Stretch Induced Differentiation and Maturation of Induced Pluripotent Stem Cell-derived Cardiomyocytes -- Mechanical Considerations of Myocardial Tissue and Cardiac Regeneration -- Mechanobiology of Exercise-Induced Cardiac Remodeling in Health and Disease -- Cardiac microvascular endothelial cells and pressure overload-induced cardiac fibrosis -- Cellular and Subcellular Mechanisms of Ventricular Mechano-Arrhythmogenesis -- Computational biomechanics of ventricular dyssynchrony and resynchronization therapy -- Therapeutic innovations for heart failure.
    Abstract: This book presents the latest findings in the field of cardiac mechanobiology in health and disease. Cardiac mechanobiology provides knowledge of all aspects of mechanobiology of the heart. Cardiomyogenesis is discussed as well as the mechanobiology of cardiac remodeling and regeneration. The molecular mechanisms of mechanoperception and mechanotransduction in cardiomyocytes are explained, as well as stretch induced differentiation of cardiomyocytes derived from induced pluripotent stem cells. This volume of the series Cardiac and Vascular Biology complements the volume Vascular Mechanobiology in Physiology and Disease (volume 8) published in this series. The book is aimed at clinicians as well as researchers in cardiovascular biology, bioengineering and biophysics, and also represents an educational resource for young researchers and students in these fields.
    Type of Medium: Online Resource
    Pages: VIII, 353 p. 1 illus. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9783031239656
    Series Statement: Cardiac and Vascular Biology, 9
    DDC: 573.1
    Language: English
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  • 7
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Mental health. ; Vocational guidance. ; Medicine Research. ; Biology Research. ; Mental Health. ; Career Counseling. ; Biomedical Research.
    Description / Table of Contents: Part I: Defining The Problem -- Chapter 1: Introduction -- Chapter 2: Challenging Perceptions - What is mental health anyway? -- Chapter 3: Setting the Scene - Understanding the PhD Mental Health Crisis -- Part II: Mindset Matters -- Chapter 4: Self-Care: Without you there is no PhD -- Chapter 5: Not another yoga session - University Wellbeing programs and why they so often miss the mark -- Chapter 6: “I’ll read it later” and other lies we tell ourselves – Managing Expectations and Guilt -- Chapter 7: Why you earned it – Fighting the Impostor -- Part III: Environmental Stressors -- Chapter 8: Dismantling the Ivory Tower – Systemic Issues that Might Impact your Mental Health -- Chapter 9: Perhaps it’s not you it’s them: PhD Student-Supervisor relationships -- Chapter 10: Publish or Perish – On the Myth of Meritocracy -- Chapter 11: The High-Walled Rose Garden: Understanding there is life outside the academy -- Part IV: Seeking Help -- Chapter 12: Thriving, not just surviving.
    Abstract: This book explores the PhD experience as never before and provides a “survival guide” for current and prospective PhD students. The book investigates why mental health issues are so common among the postgraduate population, going beyond the statistics, looking at lived experience of both the author and as well as current PhD students, who have found balancing mental wellness with the PhD endeavour challenging. The author discusses tips and tricks she wished she had known at the start of her PhD process for managing mental health, such as managing imposter feelings, prioritizing workload, and self-care strategies to help others throughout their own journey. The book goes beyond typical mental health discussions (where the focus for improving mental health is placed on PhD students to become “more resilient”) and explores some of the often unspoken environmental factors that can impact mental health. These include the PhD student-supervisor relationship, the pressure to publish, and deep systemic problems in academia, such as racism, bullying and harassment. Finally, the book is a call to action, providing tangible improvements from the author’s perspective that university institutions can make to ensure that academia is a place for all to thrive.
    Type of Medium: Online Resource
    Pages: XIX, 199 p. 1 illus. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783031141942
    DDC: 616.89
    Language: English
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  • 8
    Keywords: Medicine Research. ; Biology Research. ; Biology Technique. ; Physiology. ; Evolution (Biology). ; Cytology. ; Vertebrates. ; Biomedical Research. ; Experimental Organisms. ; Animal Physiology. ; Evolutionary Biology. ; Cell Biology. ; Vertebrate Zoology.
    Description / Table of Contents: Dedication -- About the editors -- Preface (Jarvis JUM) -- Chapter 1. Social evolution in African mole-rats - a comparative overview (Faulkes CG & Bennett NC) -- Chapter 2. Social behavior in naked mole-rats: individual differences in phenotype and proximate mechanisms of mammalian eusociality (Holmes MM & Goldman BD) -- Chapter 3. Neuropeptidergic and neuroendocrine systems underlying eusociality and the concomitant social regulation of reproduction in naked mole-rats: a comparative approach (Coen CW, Bennett N, Holmes MM, & Faulkes CG) -- Chapter 4. Adult neural plasticity in naked mole-rats: implications of fossoriality, longevity and sociality on the brain’s capacity for change (Mooney SJ, Forger NG, & Holmes MM) -- Chapter 5. Sensory Systems of the African Naked Mole-Rat (Vice EN, Lagestee S, Browe BM, Deb D, Smith ESJ, Park TJ) -- Chapter 6. Hearing and vocalizations in the naked mole-rat (Barker AJ, Koch, U, Lewin GR, Pyott, SJ) -- Chapter 7. The somatosensory world of the African naked mole-rat (Lewin GR, Smith ESJ, Reznick J, Debus K, Barker A, and Park TJ) -- Chapter 8. The idiosyncratic physiological traits of the naked mole-rat; a resilient animal model of aging, longevity, and healthspan (Buffenstein R and Craft W) -- Chapter 9. African Naked Mole-Rats Demonstrate Extreme Tolerance to Hypoxia and Hypercapnia (Park TJ, Smith ESJ, Reznick J, Bennett NC, Applegate DT, Larson J, Lewin GR) -- Chapter 10. A sweet story of metabolic innovation in the naked mole-rat (Reznick J, Park TJ, and Lewin GR) -- Chapter 11. Insights into the molecular basis of genome stability and pristine proteostasis in naked mole-rats (Narayan V, McMahon M, O’Brien J, McAllister F and Buffenstein R) -- Chapter 12. The Unusual Immune System of the Naked Mole-Rat (Lin TD and Buffenstein R) -- Chapter 13 -- Induced Pluripotent Stem Cells from Cancer-Resistant Naked Mole-rats (Miura. K, Oiwa Y, and Kawamura Y) -- Chapter 14. Naked mole-rats: resistant to developing cancer or good at avoiding it? (Hadi F, Smith ESJ and Khaled WT) -- Chapter 15. Spontaneous Disease and Pathology of Naked Mole-rats (Delaney MA, Imai DM, Buffenstein R) -- Chapter 16. Managed Care of Naked Mole-rats (Smith M, and Buffenstein¬ R) -- Chapter 17. Some exciting future directions for work on naked mole-rats (Smith ESJ, ParkTJ, Holmes MM and Buffenstein R).
    Abstract: This volume focuses on the huge advances in the last 25 years on the use of this animal model for biomedical research (cancer, heart disease and neurodegeneration), fundamental neuroscience and basic subterranean biology. In 2013, Science magazine named the naked mole-rat as the Vertebrate of the Year. This was partly due to research carried out documenting its extreme longevity, negligible senescence, and prolonged maintenance of cancer free, good health well into old age as well as seminal work on mechanisms involved in these processes, pain and hypoxia resistance. In addition to this research focus on longevity and chronic diseases such as cancer and cardiovascular disease, the naked mole-rat has also made a substantial contribution to the fields of ecophysiology, neuroscience and behavior. With international contributions, this book provides a valuable text for zoological students, behavioral scientists and biomedical researchers.
    Type of Medium: Online Resource
    Pages: XIV, 445 p. 188 illus., 139 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9783030659431
    Series Statement: Advances in Experimental Medicine and Biology, 1319
    DDC: 610.72
    Language: English
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