A mathematical modeling framework to simulate and analyze cell type transitions

A mathematical modeling framework to simulate and analyze cell type transitions PDF Author: Daniella Schittler
Publisher: Logos Verlag Berlin GmbH
ISBN: 3832539352
Category : Mathematics
Languages : en
Pages : 192

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Book Description
The quantitative understanding of changes in cell types, referred to as cell type transitions, is fundamental to advance fields such as stem cell research, immunology, and cancer therapies. This thesis provides a mathematical modeling framework to simulate and analyze cell type transitions. The novel methodological approaches and models presented here address diverse levels which are essential in this context: Gene regulatory network models represent the cell type-determining gene expression dynamics. Here, a novel construction method for gene regulatory network models is introduced, which allows to transfer results from generic low-dimensional to realistic high-dimensional gene regulatory network models. For populations of cells, a generalized model class is proposed that accounts for multiple cell types, division numbers, and the full label distribution. Analysis and solution methods are presented for this new model class, which cover common cell population experiments and allow to exploit the full information from data. The modeling and analysis methods presented here connect formerly isolated approaches, and thereby contribute to a holistic framework for the quantitative understanding of cell type transitions.

A mathematical modeling framework to simulate and analyze cell type transitions

A mathematical modeling framework to simulate and analyze cell type transitions PDF Author: Daniella Schittler
Publisher: Logos Verlag Berlin GmbH
ISBN: 3832539352
Category : Mathematics
Languages : en
Pages : 192

Get Book Here

Book Description
The quantitative understanding of changes in cell types, referred to as cell type transitions, is fundamental to advance fields such as stem cell research, immunology, and cancer therapies. This thesis provides a mathematical modeling framework to simulate and analyze cell type transitions. The novel methodological approaches and models presented here address diverse levels which are essential in this context: Gene regulatory network models represent the cell type-determining gene expression dynamics. Here, a novel construction method for gene regulatory network models is introduced, which allows to transfer results from generic low-dimensional to realistic high-dimensional gene regulatory network models. For populations of cells, a generalized model class is proposed that accounts for multiple cell types, division numbers, and the full label distribution. Analysis and solution methods are presented for this new model class, which cover common cell population experiments and allow to exploit the full information from data. The modeling and analysis methods presented here connect formerly isolated approaches, and thereby contribute to a holistic framework for the quantitative understanding of cell type transitions.

Multiscale Modeling of Cancer

Multiscale Modeling of Cancer PDF Author: Vittorio Cristini
Publisher: Cambridge University Press
ISBN: 1139491504
Category : Technology & Engineering
Languages : en
Pages : 299

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Book Description
Mathematical modeling, analysis and simulation are set to play crucial roles in explaining tumor behavior, and the uncontrolled growth of cancer cells over multiple time and spatial scales. This book, the first to integrate state-of-the-art numerical techniques with experimental data, provides an in-depth assessment of tumor cell modeling at multiple scales. The first part of the text presents a detailed biological background with an examination of single-phase and multi-phase continuum tumor modeling, discrete cell modeling, and hybrid continuum-discrete modeling. In the final two chapters, the authors guide the reader through problem-based illustrations and case studies of brain and breast cancer, to demonstrate the future potential of modeling in cancer research. This book has wide interdisciplinary appeal and is a valuable resource for mathematical biologists, biomedical engineers and clinical cancer research communities wishing to understand this emerging field.

Dynamical Systems, PDEs and Networks for Biomedical Applications: Mathematical Modeling, Analysis and Simulations

Dynamical Systems, PDEs and Networks for Biomedical Applications: Mathematical Modeling, Analysis and Simulations PDF Author: André H. Erhardt
Publisher: Frontiers Media SA
ISBN: 2832514588
Category : Science
Languages : en
Pages : 209

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Book Description


Mathematics for Healthcare

Mathematics for Healthcare PDF Author: Krasimira Tsaneva-Atanasova
Publisher: Frontiers Media SA
ISBN: 2889455777
Category :
Languages : en
Pages : 284

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Book Description
In 1996, and with extraordinary prescience, Panfilov and Holden had highlighted in their seminal book 'Computational Biology of the Heart' that biology was, potentially, the most mathematical of all sciences. Fast-forward 20 years and we have seen an explotion of applications of mathematics in not only biology, but healthcare that has already produced significant breakthroughs not imaginable more than 20 years ago. Great strides have been made in explaining through quantitative methods the underlying mechanisms of human disease, not without considerable ingenuity and effort. Biological mechanisms are bewildering: complex, ever evolving, multi-scale, variable, difficult to fully access and understand. This poses immense challenges to the computational physiology community that, nevertheless, has developed an impressive arsenal of tools and methods in a vertiginous race to combat disease with the tall order of improving human healthcare. Mechanistic models are now contending with the advent of machine learning in healthcare and the hope is that both approaches will be used synergistically since the complexity of human patophysiology and the difficulty of acquiring human datasets will require both, deductive and inductive methods. This Research Topic presents work that is currently at the frontier in computational physiology with a striking range of applications, from diabetes to graft failure and using a multitude of mathematical tools. This collection of articles represents a snapshot in a field that is moving a dizzying speed, bringing understanding of fundamental mechanism and solutions to healthcare problems experienced by healthcare systems all over the world.

Computational Biology for Stem Cell Research

Computational Biology for Stem Cell Research PDF Author: Pawan Raghav
Publisher: Elsevier
ISBN: 0443132216
Category : Science
Languages : en
Pages : 568

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Book Description
Computational Biology for Stem Cell Research is an invaluable guide for researchers as they explore HSCs and MSCs in computational biology. With the growing advancement of technology in the field of biomedical sciences, computational approaches have reduced the financial and experimental burden of the experimental process. In the shortest span, it has established itself as an integral component of any biological research activity. HSC informatics (in silico) techniques such as machine learning, genome network analysis, data mining, complex genome structures, docking, system biology, mathematical modeling, programming (R, Python, Perl, etc.) help to analyze, visualize, network constructions, and protein-ligand or protein-protein interactions. This book is aimed at beginners with an exact correlation between the biomedical sciences and in silico computational methods for HSCs transplantation and translational research and provides insights into methods targeting HSCs properties like proliferation, self-renewal, differentiation, and apoptosis. - Modeling Stem Cell Behavior: Explore stem cell behavior through animal models, bridging laboratory studies to real-world clinical allogeneic HSC transplantation (HSCT) scenarios. - Bioinformatics-Driven Translational Research: Navigate a path from bench to bedside with cutting-edge bioinformatics approaches, translating computational insights into tangible advancements in stem cell research and medical applications. - Interdisciplinary Resource: Discover a single comprehensive resource catering to biomedical sciences, life sciences, and chemistry fields, offering essential insights into computational tools vital for modern research.

Cancer Immunology

Cancer Immunology PDF Author: Nima Rezaei
Publisher: Springer
ISBN: 3662440067
Category : Medical
Languages : en
Pages : 633

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Book Description
Cancer Immunology is intended as an up-to-date, clinically relevant review of cancer immunology and immunotherapy. This volume is focused on immunopathology of cancers. The interactions between cancerous cells and various components of the innate and adaptive immune system are fully described. The principal focus, however, is very much on clinical aspects, the aim being to educate clinicians in the clinical implications of the most recent research and new developments in the field. Over the past decade, understanding of the interactions between the immune system and cancerous cells has increased markedly, leading to the development of combinatorial immunotherapeutic strategies to combat cancer. This translational, clinically oriented book will be of special value to clinical immunologists, hematologists and oncologists.

Model-informed decision making in the preclinical stages of pharmaceutical research and development

Model-informed decision making in the preclinical stages of pharmaceutical research and development PDF Author: Rui Li
Publisher: Frontiers Media SA
ISBN: 2832514766
Category : Science
Languages : en
Pages : 181

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Book Description


Selected Water Resources Abstracts

Selected Water Resources Abstracts PDF Author:
Publisher:
ISBN:
Category : Hydrology
Languages : en
Pages : 952

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Book Description


Biomarkers of Radiation in the Environment

Biomarkers of Radiation in the Environment PDF Author: Michael D. Wood
Publisher: Springer Nature
ISBN: 9402421017
Category : Medical
Languages : en
Pages : 333

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Book Description
This proceedings volume results from the NATO Advanced Research Workshop on 'Biomarkers of Radiation in the Environment: Robust Tools for Risk Assessment (BRITE)’. The BRITE workshop discussed insights from cancer research, epigenetics, non-human and human risk assessment, since many of the state-of-the-art biomarkers being developed for humans deserve consideration for environmental applications and vice versa. Sessions were very wide-ranging covering methods, mechanisms, cross disciplinary application and regulation. The chapters in this book have been grouped into five major themes that were covered by the BRITE workshop: · Techniques for biomarker development · Low-dose effect mechanisms · Biomarkers for risk evaluation · Biomarkers in wildlife · Biomarker use and responses Each chapter has been written independently and reflects the views of the chapter author(s). Therefore, the readers can form their own balanced view of the different perspectives on biomarkers of radiation in the environment. Given the breadth of topics covered and the state-of-the-art perspectives shared by leading experts in their respective fields, this book should form a valuable resource for anyone with an interest in how biomarkers can be used to improve our understanding of radiation in the environment and its potential impacts.

Integrative Computational Systems Biology Approaches in Immunology and Medicine

Integrative Computational Systems Biology Approaches in Immunology and Medicine PDF Author: Lars Kaderali
Publisher: Frontiers Media SA
ISBN: 2889458016
Category :
Languages : en
Pages : 290

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Book Description