Quantitative Biology: Dynamics of Living Systems (Record no. 66952)
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| fixed length control field | 05548naaaa2200481uu 4500 |
| 001 - CONTROL NUMBER | |
| control field | https://directory.doabooks.org/handle/20.500.12854/57439 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220220050742.0 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 978-2-88945-213-2 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9782889452132 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.3389/978-2-88945-213-2 |
| Terms of availability | doi |
| 041 0# - LANGUAGE CODE | |
| Language code of text/sound track or separate title | English |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | dc |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Noriko Hiroi |
| Relationship | auth |
| 245 10 - TITLE STATEMENT | |
| Title | Quantitative Biology: Dynamics of Living Systems |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Name of publisher, distributor, etc. | Frontiers Media SA |
| Date of publication, distribution, etc. | 2017 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 electronic resource (136 p.) |
| 506 0# - RESTRICTIONS ON ACCESS NOTE | |
| Terms governing access | Open Access |
| Source of term | star |
| Standardized terminology for access restriction | Unrestricted online access |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | With the emergence of Systems Biology, there is a greater realization that the whole behavior of a living system may not be simply described as the sum of its elements. To represent a living system using mathematical principles, practical quantities with units are required. Quantities are not only the bridge between mathematical description and biological observations; they often stand as essential elements similar to genome information in genetics. This important realization has greatly rejuvenated research in the area of Quantitative Biology. Because of the increased need for precise quantification, a new era of technological development has opened. For example, spatio-temporal high-resolution imaging enables us to track single molecule behavior in vivo. Clever artificial control of experimental conditions and molecular structures has expanded the variety of quantities that can be directly measured. In addition, improved computational power and novel algorithms for analyzing theoretical models have made it possible to investigate complex biological phenomena. This research topic is organized on two aspects of technological advances which are the backbone of Quantitative Biology: (i) visualization of biomolecules, their dynamics and function, and (ii) generic technologies of model optimization and numeric integration. We have also included articles highlighting the need for new quantitative approaches to solve some of the long-standing cell biology questions. In the first section on visualizing biomolecules, four cutting-edge techniques are presented. Ichimura et al. provide a review of quantum dots including their basic characteristics and their applications (for example, single particle tracking). Horisawa discusses a quick and stable labeling technique using click chemistry with distinct advantages compared to fluorescent protein tags. The relatively small physical size, stability of covalent bond and simple metabolic labeling procedures in living cells provides this type of technology a potential to allow long-term imaging with least interference to protein function. Obien et al. review strategies to control microelectrodes for detecting neuronal activity and discuss techniques for higher resolution and quality of recordings using monolithic integration with on-chip circuitry. Finally, the original research article by Amariei et al. describes the oscillatory behavior of metabolites in bacteria. They describe a new method to visualize the periodic dynamics of metabolites in large scale cultures populations. These four articles contribute to the development of quantitative methods visualizing diverse targets: proteins, electrical signals and metabolites. In the second section of the topic, we have included articles on the development of computational tools to fully harness the potential of quantitative measurements through either calculation based on specific model or validation of the model itself. Kimura et al. introduce optimization procedures to search for parameters in a quantitative model that can reproduce experimental data. They present four examples: transcriptional regulation, bacterial chemotaxis, morphogenesis of tissues and organs, and cell cycle regulation. The original research article by Sumiyoshi et al. presents a general methodology to accelerate stochastic simulation efforts. They introduce a method to achieve 130 times faster computation of stochastic models by applying GPGPU. The strength of such accelerated numerical calculation are sometimes underestimated in biology; faster simulation enables multiple runs and in turn improved accuracy of numerical calculation which may change the final conclusion of modeling study. This also highlights the need to carefully assess simulation results and estimations using computational tools. |
| 540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE | |
| Terms governing use and reproduction | Creative Commons |
| Use and reproduction rights | https://creativecommons.org/licenses/by/4.0/ |
| Source of term | cc |
| -- | https://creativecommons.org/licenses/by/4.0/ |
| 546 ## - LANGUAGE NOTE | |
| Language note | English |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | fluorescence chemistry |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | numerical integration |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | molecular crowding |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | quantum dot |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | cell division |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | data visualization |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | imaging |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | model optimization |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | GPGPU |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Douglas B. Murray |
| Relationship | auth |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Viji M. Draviam |
| Relationship | auth |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Chun-Biu Li |
| Relationship | auth |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Hiroaki Takagi |
| Relationship | auth |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ziya Kalay |
| Relationship | auth |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Tetsuya J. Kobayashi |
| Relationship | auth |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Akira Funahashi |
| Relationship | auth |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Akatsuki Kimura |
| Relationship | auth |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Rinshi S. Kasai |
| Relationship | auth |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Naoki A. Irie |
| Relationship | auth |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Jason Edward Shoemaker |
| Relationship | auth |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Host name | www.oapen.org |
| Uniform Resource Identifier | <a href="http://journal.frontiersin.org/researchtopic/2367/quantitative-biology-dynamics-of-living-systems">http://journal.frontiersin.org/researchtopic/2367/quantitative-biology-dynamics-of-living-systems</a> |
| Access status | 0 |
| Public note | DOAB: download the publication |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Host name | www.oapen.org |
| Uniform Resource Identifier | <a href="https://directory.doabooks.org/handle/20.500.12854/57439">https://directory.doabooks.org/handle/20.500.12854/57439</a> |
| Access status | 0 |
| Public note | DOAB: description of the publication |
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