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020 _a9781071610329
024 7 _a10.1007/978-1-0716-1032-9
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
245 1 0 _aSynthetic Gene Circuits
_bMethods and Protocols
_cedited by Filippo Menolascina.
250 _a1st edition 2021
264 1 _aNew York, NY
_bSpringer International Publising
_c2021
300 _a1 recurso en línea (X, 353 páginas)
_b94 ilustraciones, 87 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aMethods in Molecular Biology
_x1940-6029
_v2229
505 0 _aQualitative Modeling, Analysis and Control of Synthetic Regulatory Circuits -- Stochastic Differential Equations for Practical Simulation of Gene Circuits -- Using Models To (Re-)Design Synthetic Circuits -- Automated bio-circuit design with SYNBADm -- Setting up an Automated Biomanufacturing Laboratory -- Computer-aided Design and Pre-validation of Large Batches of DNA Assemblies -- Computer-aided Planning for the Verification of Large Batches of DNA Constructs -- Characterizing Genetic Parts and Devices using RNA Sequencing -- Steady-State Cell-Free Gene Expression with Microfluidic Chemostats -- A Microfluidic/Microscopy-Based Platform for On-Chip Controlled Gene Expression in Mammalian Cells -- Optimal Experimental Design for Systems and Synthetic Biology Using Amigo -- A Cyber-Physical Platform for Model Calibration -- Prediction of cellular burden with host-circuit models -- A Practical Step-by-Step Guide for Quantifying Retroactivity in Gene Networks -- Engineering Sensors for Gene Expression Burden -- Engineering Protein-based Parts for Genetic Devices in Mammalian Cells.
520 _aThis 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.
700 1 _aMenolascina, Filippo
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9781071610312
776 0 8 _iPrinted edition:
_z9781071610336
776 0 8 _iPrinted edition:
_z9781071610343
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-0716-1032-9
_z(usuarios Universidad Europea de Valencia)
942 _2lcc
_cLE
988 _aSpringer_Protocols_2021
999 _c233466
_d233466