|ZHANG, WEI - Case Western Reserve University (CWRU)|
|QU, YAN - Case Western Reserve University (CWRU)|
|LIN, MEIHUA - Case Western Reserve University (CWRU)|
|DATTA, AMIT - Case Western Reserve University (CWRU)|
|Liu, Ge - George|
|LI, BIAORU - Augusta University|
Submitted to: Book Chapter
Publication Type: Book / Chapter
Publication Acceptance Date: 11/3/2020
Publication Date: 11/3/2020
Citation: Zhang, W., Qu, Y., Lin, M., Datta, A., Liu, G., Li, B. 2020. Immune cells signaling-pathway and genomic profiles for personalized immunotherapy (Chapter 2). In: Li, B., Larson, A., Li, S. editors. Personalized Immunotherapy for Tumor Diseases and Beyond. Singapore, Singapore: Bentham Science Publishers Pte. Ltd. p. 20-42.
Interpretive Summary: Comprehensive analyses of different lymphocytes will benefit our understanding of genetic bases for complex diseases and health traits. We provided an overview of the genomic profiles of lymphocytes. These results fill our knowledge gaps and provide the foundation for incorporating new biological insights into the future animal breeding program. Farmers, scientist, and policy planners who need improve animal health and production based on genome-enabled animal selection will benefit from this study.
Technical Abstract: Lymphocytes play important roles in body defense for a few diseases, such as tumor diseases, autoimmune diseases, allergic inflammation. The genomic profiles with their analyses for body defense of lymphocytes have been applied to identify and verify disease-associated and disease-specific biomarkers. The genomic profiles of lymphocytes also can provide more information to understand their functions and roles in the development of tumor diseases, although genomic profiles from lymphocytes are still not completed for different tumor diseases. The chapter first reviews subtypes/functions and signaling/pathways of different lymphocytes and then introduce genomic profiles with their networks on these types of lymphocytes to highlight the genomic profiles of lymphocytes in tumor diseases. The genomic profiles are going to produce clinical potentials of precision medicine such as tumor prediction, tumor prevention, and prognostic estimation and personalized therapy of lymphocytes so that, here, we will more focus on study of genomic expression and network of personalized immunotherapy because the profiles of gene expression with their network in lymphocytes will start a new chance to develop personalized immunotherapy soon.