Transplant Rejection and Tolerance: Advancing the Field through Integration of Computational and Experimental Investigations
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 destro...
Saved in:
Superior document: | Frontiers Research Topics |
---|---|
: | |
Year of Publication: | 2017 |
Language: | English |
Series: | Frontiers Research Topics
|
Physical Description: | 1 electronic resource (130 p.) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
993543746304498 |
---|---|
ctrlnum |
(CKB)4100000002484697 (oapen)https://directory.doabooks.org/handle/20.500.12854/61247 (EXLCZ)994100000002484697 |
collection |
bib_alma |
record_format |
marc |
spelling |
Alan S. Perelson auth Transplant Rejection and Tolerance: Advancing the Field through Integration of Computational and Experimental Investigations Transplant Rejection and Tolerance Frontiers Media SA 2017 1 electronic resource (130 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Frontiers Research Topics 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. English systems biology theoretical modeling transplant immunology biomarkers big data and bioinformatics transplant rejection transplant tolerance mechanistic models 2-88945-292-1 Kathryn J. Wood auth Giorgio Raimondi auth Julia C. Arciero auth |
language |
English |
format |
eBook |
author |
Alan S. Perelson |
spellingShingle |
Alan S. Perelson Transplant Rejection and Tolerance: Advancing the Field through Integration of Computational and Experimental Investigations Frontiers Research Topics |
author_facet |
Alan S. Perelson Kathryn J. Wood Giorgio Raimondi Julia C. Arciero |
author_variant |
a s p asp |
author2 |
Kathryn J. Wood Giorgio Raimondi Julia C. Arciero |
author2_variant |
k j w kjw g r gr j c a jca |
author_sort |
Alan S. Perelson |
title |
Transplant Rejection and Tolerance: Advancing the Field through Integration of Computational and Experimental Investigations |
title_full |
Transplant Rejection and Tolerance: Advancing the Field through Integration of Computational and Experimental Investigations |
title_fullStr |
Transplant Rejection and Tolerance: Advancing the Field through Integration of Computational and Experimental Investigations |
title_full_unstemmed |
Transplant Rejection and Tolerance: Advancing the Field through Integration of Computational and Experimental Investigations |
title_auth |
Transplant Rejection and Tolerance: Advancing the Field through Integration of Computational and Experimental Investigations |
title_alt |
Transplant Rejection and Tolerance |
title_new |
Transplant Rejection and Tolerance: Advancing the Field through Integration of Computational and Experimental Investigations |
title_sort |
transplant rejection and tolerance: advancing the field through integration of computational and experimental investigations |
series |
Frontiers Research Topics |
series2 |
Frontiers Research Topics |
publisher |
Frontiers Media SA |
publishDate |
2017 |
physical |
1 electronic resource (130 p.) |
isbn |
2-88945-292-1 |
illustrated |
Not Illustrated |
work_keys_str_mv |
AT alansperelson transplantrejectionandtoleranceadvancingthefieldthroughintegrationofcomputationalandexperimentalinvestigations AT kathrynjwood transplantrejectionandtoleranceadvancingthefieldthroughintegrationofcomputationalandexperimentalinvestigations AT giorgioraimondi transplantrejectionandtoleranceadvancingthefieldthroughintegrationofcomputationalandexperimentalinvestigations AT juliacarciero transplantrejectionandtoleranceadvancingthefieldthroughintegrationofcomputationalandexperimentalinvestigations AT alansperelson transplantrejectionandtolerance AT kathrynjwood transplantrejectionandtolerance AT giorgioraimondi transplantrejectionandtolerance AT juliacarciero transplantrejectionandtolerance |
status_str |
n |
ids_txt_mv |
(CKB)4100000002484697 (oapen)https://directory.doabooks.org/handle/20.500.12854/61247 (EXLCZ)994100000002484697 |
carrierType_str_mv |
cr |
hierarchy_parent_title |
Frontiers Research Topics |
is_hierarchy_title |
Transplant Rejection and Tolerance: Advancing the Field through Integration of Computational and Experimental Investigations |
container_title |
Frontiers Research Topics |
author2_original_writing_str_mv |
noLinkedField noLinkedField noLinkedField |
_version_ |
1796649053010788352 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04575nam-a2200409z--4500</leader><controlfield tag="001">993543746304498</controlfield><controlfield tag="005">20231214133057.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">202102s2017 xx |||||o ||| 0|eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)4100000002484697</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/61247</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)994100000002484697</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Alan S. Perelson</subfield><subfield code="4">auth</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Transplant Rejection and Tolerance: Advancing the Field through Integration of Computational and Experimental Investigations</subfield></datafield><datafield tag="246" ind1=" " ind2=" "><subfield code="a">Transplant Rejection and Tolerance</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="b">Frontiers Media SA</subfield><subfield code="c">2017</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 electronic resource (130 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Frontiers Research Topics</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">systems biology</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">theoretical modeling</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">transplant immunology</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">biomarkers</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">big data and bioinformatics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">transplant rejection</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">transplant tolerance</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">mechanistic models</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">2-88945-292-1</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kathryn J. Wood</subfield><subfield code="4">auth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Giorgio Raimondi</subfield><subfield code="4">auth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Julia C. Arciero</subfield><subfield code="4">auth</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-12-15 05:42:09 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2018-03-10 17:16:05 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5337436510004498&Force_direct=true</subfield><subfield code="Z">5337436510004498</subfield><subfield code="b">Available</subfield><subfield code="8">5337436510004498</subfield></datafield></record></collection> |