کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6125864 | 1221035 | 2013 | 15 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Vaccinomics, adversomics, and the immune response network theory: Individualized vaccinology in the 21st century
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کلمات کلیدی
vaccinomicsadaptive immunity - ایمنی سازگاریImmunogenetics - ایمونوگنیکBiotechnology - بیوتکنولوژیIndividualized medicine - دارو فرداSystems biology - زیست شناسی سامانه ها یا سیستم بیولوژی یا زیستشناسی دستگاههاComputational biology - زیستشناسی محاسباتیModeling - مدلسازیPredictive equation - معادله پیش بینیVaccines - واکسنVaccination - واکسیناسیونProteomics - پروتئومیکسGenomics - ژنومیک
موضوعات مرتبط
علوم زیستی و بیوفناوری
ایمنی شناسی و میکروب شناسی
ایمونولوژی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Vaccinomics, adversomics, and the immune response network theory: Individualized vaccinology in the 21st century Vaccinomics, adversomics, and the immune response network theory: Individualized vaccinology in the 21st century](/preview/png/6125864.png)
چکیده انگلیسی
Vaccines, like drugs and medical procedures, are increasingly amenable to individualization or personalization, often based on novel data resulting from high throughput “omics” technologies. As a result of these technologies, 21st century vaccinology will increasingly see the abandonment of a “one size fits all” approach to vaccine dosing and delivery, as well as the abandonment of the empiric “isolate-inactivate-inject” paradigm for vaccine development. In this review, we discuss the immune response network theory and its application to the new field of vaccinomics and adversomics, and illustrate how vaccinomics can lead to new vaccine candidates, new understandings of how vaccines stimulate immune responses, new biomarkers for vaccine response, and facilitate the understanding of what genetic and other factors might be responsible for rare side effects due to vaccines. Perhaps most exciting will be the ability, at a systems biology level, to integrate increasingly complex high throughput data into descriptive and predictive equations for immune responses to vaccines. Herein, we discuss the above with a view toward the future of vaccinology.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Seminars in Immunology - Volume 25, Issue 2, April 2013, Pages 89-103
Journal: Seminars in Immunology - Volume 25, Issue 2, April 2013, Pages 89-103
نویسندگان
Gregory A. Poland, Richard B. Kennedy, Brett A. McKinney, Inna G. Ovsyannikova, Nathaniel D. Lambert, Robert M. Jacobson, Ann L. Oberg,