Genetic techniques and circuit analysis

Genetic techniques and circuit analysis

Author: William Wisden

Publisher: Frontiers E-books

Published:

Total Pages: 150

ISBN-13: 2889190269

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How new genetic techniques are revolutionizing the study of neural circuits for both invertebrate and vertebrate systems. Understanding how specific types of neurons contribute to behaviour is an ambitious goal. For invertebrate model systems (e.g. worms, flies), neurons in the brain are often too small to be studied routinely by electrophysiological approaches. For vertebrates, large ensembles of cells have to be studied, and these cells are often distributed over considerable volumes e.g. GABAergic interneurons in neocortex. Cell type-selective manipulations may be a way forward for treating illness. Before such aims can be realized, or even appreciated as feasible, the brain circuitry in experimental animals has to be known by both establishing the connections between cell types and reversibly manipulating the activity of the cells subtype-selectively. Methods that have all appeared in just the last couple of years to tackle this include: retrograde tracing of circuitry using viruses, ligand-receptor combinations that make subtypes of neurons uniquely sensitive to a drug (e.g. zolpidem, allatostatin, serotonin ligands or ivermectin), and light-activated channels and pumps for stimulation and inhibition. This collection of methods promises much, forming the new subdisciplines of “pharmacogenetics” and “opticogenetics”. These methods are revolutionizing the study of brain circuitry for both invertebrates and vertebrate systems.


Engineering Genetic Circuits

Engineering Genetic Circuits

Author: Chris J. Myers

Publisher: CRC Press

Published: 2016-04-19

Total Pages: 302

ISBN-13: 1420083252

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This text presents the modeling, analysis, and design methods for systems biology. It discusses how to examine experimental data to learn about mathematical models, develop efficient abstraction and simulation methods to analyze these models, and use analytical methods to design new circuits. The author reviews basic molecular biology and biochemistry principles, covers several methods for modeling and analyzing genetic circuits, and uses phage lambda as an example throughout to help illustrate the methods. He also explores the emerging area of synthetic biology. iBioSim software, lecture slides, and a password-protected solutions manual are available on the author's website.


Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research

Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research

Author: Robert T. Gerlai

Publisher: Academic Press

Published: 2018-04-24

Total Pages: 710

ISBN-13: 0128041161

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Molecular-Genetic and Statistical Techniques for Behavioral and Neural Research presents the most exciting molecular and recombinant DNA techniques used in the analysis of brain function and behavior, a critical piece of the puzzle for clinicians, scientists, course instructors and advanced undergraduate and graduate students. Chapters examine neuroinformatics, genetic and neurobehavioral databases and data mining, also providing an analysis of natural genetic variation and principles and applications of forward (mutagenesis) and reverse genetics (gene targeting). In addition, the book discusses gene expression and its role in brain function and behavior, along with ethical issues in the use of animals in genetics testing. Written and edited by leading international experts, this book provides a clear presentation of the frontiers of basic research as well as translationally relevant techniques that are used by neurobehavioral geneticists. - Focuses on new techniques, including electrocorticography, functional mapping, stereo EEG, motor evoked potentials, optical coherence tomography, magnetoencephalography, laser evoked potentials, transmagnetic stimulation, and motor evoked potentials - Presents the most exciting molecular and recombinant DNA techniques used in the analysis of brain function and behavior - Written and edited by leading international experts


Synthetic Gene Circuits

Synthetic Gene Circuits

Author: Filippo Menolascina

Publisher: Humana

Published: 2022-01-21

Total Pages: 353

ISBN-13: 9781071610343

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This volume provides clear and direct protocols to implement automated Design-Build-Test-Learn (DBTL) into synthetic biology research. Chapters detail techniques to model and simulate biological systems, redesign biological systems, setting up of an automated biolaboratory, step-by-step guide on how to perform computer aided design, RNA sequencing, microfluidics -using bacterial cell free extracts, live mammalian cells, computational and experimental procedures, metabolic burden, computational techniques to predict such burden from models, and how DNA parts can be engineered in mammalian cells to sense, and respond to, and intracellular signals in general. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Synthetic Gene Circuits: Methods and Protocols aims to ensure successful results in the further study of this vital field.


The Science and Applications of Synthetic and Systems Biology

The Science and Applications of Synthetic and Systems Biology

Author: Institute of Medicine

Publisher: National Academies Press

Published: 2011-12-30

Total Pages: 570

ISBN-13: 0309219396

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Many potential applications of synthetic and systems biology are relevant to the challenges associated with the detection, surveillance, and responses to emerging and re-emerging infectious diseases. On March 14 and 15, 2011, the Institute of Medicine's (IOM's) Forum on Microbial Threats convened a public workshop in Washington, DC, to explore the current state of the science of synthetic biology, including its dependency on systems biology; discussed the different approaches that scientists are taking to engineer, or reengineer, biological systems; and discussed how the tools and approaches of synthetic and systems biology were being applied to mitigate the risks associated with emerging infectious diseases. The Science and Applications of Synthetic and Systems Biology is organized into sections as a topic-by-topic distillation of the presentations and discussions that took place at the workshop. Its purpose is to present information from relevant experience, to delineate a range of pivotal issues and their respective challenges, and to offer differing perspectives on the topic as discussed and described by the workshop participants. This report also includes a collection of individually authored papers and commentary.


The lac Operon

The lac Operon

Author: Benno Müller-Hill

Publisher: Walter de Gruyter

Published: 2011-05-12

Total Pages: 221

ISBN-13: 3110879476

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Weighted Network Analysis

Weighted Network Analysis

Author: Steve Horvath

Publisher: Springer Science & Business Media

Published: 2011-04-30

Total Pages: 433

ISBN-13: 144198819X

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High-throughput measurements of gene expression and genetic marker data facilitate systems biologic and systems genetic data analysis strategies. Gene co-expression networks have been used to study a variety of biological systems, bridging the gap from individual genes to biologically or clinically important emergent phenotypes.


Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications

Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications

Author: Management Association, Information Resources

Publisher: IGI Global

Published: 2019-12-06

Total Pages: 2071

ISBN-13: 1799812057

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Advancements in data science have created opportunities to sort, manage, and analyze large amounts of data more effectively and efficiently. Applying these new technologies to the healthcare industry, which has vast quantities of patient and medical data and is increasingly becoming more data-reliant, is crucial for refining medical practices and patient care. Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications is a vital reference source that examines practical applications of healthcare analytics for improved patient care, resource allocation, and medical performance, as well as for diagnosing, predicting, and identifying at-risk populations. Highlighting a range of topics such as data security and privacy, health informatics, and predictive analytics, this multi-volume book is ideally designed for doctors, hospital administrators, nurses, medical professionals, IT specialists, computer engineers, information technologists, biomedical engineers, data-processing specialists, healthcare practitioners, academicians, and researchers interested in current research on the connections between data analytics in the field of medicine.