Transplant Rejection and Tolerance: Advancing the Field through Integration of Computational and Experimental Investigations (Record no. 65284)
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| fixed length control field | 04810naaaa2200373uu 4500 |
| 001 - CONTROL NUMBER | |
| control field | https://directory.doabooks.org/handle/20.500.12854/61247 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220220043235.0 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 978-2-88945-292-7 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9782889452927 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.3389/978-2-88945-292-7 |
| 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 | Alan S. Perelson |
| Relationship | auth |
| 245 10 - TITLE STATEMENT | |
| Title | Transplant Rejection and Tolerance: Advancing the Field through Integration of Computational and Experimental Investigations |
| 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 (130 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. | Organ transplantation is a life-saving surgical procedure through which the functionality of a failing organ system can be restored. However, without the life-long administration of immunosuppressive drugs, the recipient’s immune system will launch a massive immune attack that will ultimately destroy the graft. Although successful at protecting the graft from an immune attack, long-term use of immunosuppressive drugs leads to serious complications (e.g., increased risk of infection, diabetes, hypertension, cardiovascular disease, and cancer). Moreover, recipients suffer from limited long-term graft survival rates due to the inability of current treatments to establish tolerance to the transplanted tissues. Thus, there is a great medical need to understand the complex network of immune system interactions that lead to transplant rejection so that new strategies of intervention can be determined that will redirect the system toward transplant acceptance while preserving immune competence against offending agents. In the past 20 years, the discovery and growing understanding of the positive and negative regulators of the activation of the immune system have fostered new interventional procedures targeting one or the other. While pre-clinical results proved the validity of these strategies, their clinical implementation has been troublesome. These results underscore the need for additional methods to determine the most effective interventions to prevent long-term transplant rejection. New tools of genomics, proteomics and metabolomics are being implemented in powerful analyses that promise the development of better, safer personalized treatments. In parallel, theoretical modeling has emerged as a tool that transcends investigations of individual mechanistic processes and instead unravels the relevant mechanisms of complex systems such as the immune response triggered by a transplant. In this way, theoretical models can be used to identify important behavior that arises from complex systems and thereby delineate emergent properties of biological systems that could not be identified studying single components. Employing this approach, interdisciplinary collaborations among immunologists, mathematicians, and system biologists will yield novel perspectives in the development of more effective strategies of intervention. The aim of this Research Topic is to demonstrate how new insight and methods from theoretical and experimental studies of the immune response can aid in identifying new research directions in transplant immunology. First, techniques from various theoretical and experimental studies with applications to the immune response will be reviewed to determine how they can be adapted to explore the complexity of transplant rejection. Second, recent advances in the acquisition and mining of large data sets related to transplant genomics, proteomics, and metabolomics will be discussed in the context of their predictive power and potential for optimizing and personalizing patient treatment. Last, new perspectives will be offered on the integration of computational immune modeling with transplant and omics data to establish more effective strategies of intervention that promote transplant tolerance. |
| 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 | systems biology |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | theoretical modeling |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | transplant immunology |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | biomarkers |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | big data and bioinformatics |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | transplant rejection |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | transplant tolerance |
| 653 ## - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | mechanistic models |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Kathryn J. Wood |
| Relationship | auth |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Giorgio Raimondi |
| Relationship | auth |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Julia C. Arciero |
| Relationship | auth |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Host name | www.oapen.org |
| Uniform Resource Identifier | <a href="https://www.frontiersin.org/research-topics/3281/transplant-rejection-and-tolerance-advancing-the-field-through-integration-of-computational-and-expe">https://www.frontiersin.org/research-topics/3281/transplant-rejection-and-tolerance-advancing-the-field-through-integration-of-computational-and-expe</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/20.500.12854/61247">https://directory.doabooks.org/handle/20.500.12854/61247</a> |
| Access status | 0 |
| Public note | DOAB: description of the publication |
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