Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Further Pushing the Boundaries of Possibility Read chapter Read first chapter

2019 | OriginalPaper | Chapter

6. Integrating Modern Immunology into Medicine

Authors : Mark M. Davis, Robert M. DiFazio

Published in: Curious2018

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The field of immunology is undergoing a seismic shift, from a predominant focus on inbred mice, and relatively poorly predictive models of human diseases, to new paradigms and methods to analyze human diseases directly. Thus, it should become a much more significant factor in medical practice, where it is currently not considered seriously outside of a few specialities such as oncology and rheumatology.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now
previous chapter The Darmstadt Science Declaration—Make Science not War
next chapter The Changing Landscape for New Drug Development: Medical Countermeasures (MCMs) as a Case Study
Literature
1.
von Herrath M, Nepom GT. Animal models of human type 1 diabetes. Nat Immunol. 2009;10(2):129–32.CrossRef
2.
Mak IW, Evaniew N, Ghert M. Lost in translation: animal models and clinical trials in cancer treatment. Am J Transl Res. 2014;6(2):114–8.PubMedPubMedCentral
3.
Page DB, et al. Immune modulation in cancer with antibodies. Annu Rev Med. 2014;65:185–202.CrossRef
4.
Wagar LE, DiFazio RM, Davis MM. Advanced model systems and tools for basic and translational human immunology. Genome Med. 2018;10(1):73.CrossRef
5.
Furman D, Davis MM. New approaches to understanding the immune response to vaccination and infection. Vaccine. 2015;33(40):5271–81.CrossRef
6.
Brodin P, Davis MM. Human immune system variation. Nat Rev Immunol. 2017;17(1):21–9.CrossRef
7.
Davis MM, Tato CM, Furman D. Systems immunology: just getting started. Nat Immunol. 2017;18(7):725–32.CrossRef
8.
Wrammert J, et al. Rapid cloning of high-affinity human monoclonal antibodies against influenza virus. Nature. 2008;453(7195):667–71.CrossRef
9.
Han A, et al. Dietary gluten triggers concomitant activation of CD4+ and CD8+ alphabeta T cells and gammadelta T cells in celiac disease. Proc Natl Acad Sci USA. 2013;110(32):13073–8.CrossRef
10.
Brinkmann V, et al. Fingolimod (FTY720): discovery and development of an oral drug to treat multiple sclerosis. Nat Rev Drug Discov. 2010;9(11):883–97.CrossRef
11.
Roy Chowdhury R, et al. A multi-cohort study of the immune factors associated with M. tuberculosis infection outcomes. Nature, 2018;560(7720):644–48.
12.
Sweeney TE, et al. A comprehensive time-course-based multicohort analysis of sepsis and sterile inflammation reveals a robust diagnostic gene set. Sci Transl Med. 2015;7(287):287ra71.
13.
Team, HCSP, Consortium HI. Multicohort analysis reveals baseline transcriptional predictors of influenza vaccination responses. Sci Immunol. 2017;2(14).
14.
Verso ML. The evolution of blood-counting techniques. Med Hist. 1964;8:149–58.CrossRef
15.
Newell EW, et al. Cytometry by time-of-flight shows combinatorial cytokine expression and virus-specific cell niches within a continuum of CD8+ T cell phenotypes. Immunity. 2012;36(1):142–52.CrossRef
16.
Shen-Orr SS, et al. Defective signaling in the JAK-STAT pathway tracks with chronic inflammation and cardiovascular risk in aging humans. Cell Syst. 2016;3(4):374–84 e4.
17.
Furman D, et al. Expression of specific inflammasome gene modules stratifies older individuals into two extreme clinical and immunological states. Nat Med. 2017;23(2):174–84.CrossRef
18.
Irvine DJ, et al. Direct observation of ligand recognition by T cells. Nature. 2002;419(6909):845–9.CrossRef
19.
Huang J, et al. A single peptide-major histocompatibility complex ligand triggers digital cytokine secretion in CD4(+) T cells. Immunity. 2013;39(5):846–57.CrossRef
20.
Hulett HR, et al. Cell sorting: automated separation of mammalian cells as a function of intracellular fluorescence. Science. 1969;166(3906):747–9.CrossRef
21.
Bendall SC, et al. Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum. Science. 2011;332(6030):687–96.CrossRef
22.
Newell EW, et al. Combinatorial tetramer staining and mass cytometry analysis facilitate T-cell epitope mapping and characterization. Nat Biotechnol. 2013;31(7):623–9.CrossRef
23.
Horowitz A, et al. Genetic and environmental determinants of human NK cell diversity revealed by mass cytometry. Sci Transl Med. 2013;5(208):208ra145.
24.
Bendall SC, et al. Single-cell trajectory detection uncovers progression and regulatory coordination in human B cell development. Cell. 2014;157(3):714–25.CrossRef
25.
Sade-Feldman M, et al. Defining T cell states associated with response to checkpoint immunotherapy in melanoma. Cell. 2018;175(4):998–1013 e20.
26.
Azizi E, et al. Single-cell map of diverse immune phenotypes in the breast tumor microenvironment. Cell. 2018;174(5):1293–1308 e36.
27.
Han A, et al. Linking T-cell receptor sequence to functional phenotype at the single-cell level. Nat Biotechnol. 2014;32(7):684–92.CrossRef
28.
Robinson WH. Sequencing the functional antibody repertoire–diagnostic and therapeutic discovery. Nat Rev Rheumatol. 2015;11(3):171–82.CrossRef
29.
Birnbaum ME, et al. Deconstructing the peptide-MHC specificity of T cell recognition. Cell. 2014;157(5):1073–87.CrossRef
30.
Gee MH, et al. Antigen identification for orphan T cell receptors expressed on tumor-infiltrating lymphocytes. Cell. 2018;172(3):549–63 e16.
31.
Glanville J, et al. Identifying specificity groups in the T cell receptor repertoire. Nature. 2017;547(7661):94–8.CrossRef
32.
Dash P, et al. Quantifiable predictive features define epitope-specific T cell receptor repertoires. Nature. 2017;547(7661):89–93.CrossRef
33.
Aghaeepour N, et al. An immune clock of human pregnancy. Sci Immunol. 2017;2(15).
Metadata
Title
Integrating Modern Immunology into Medicine
Authors
Mark M. Davis
Robert M. DiFazio
Copyright Year
2019
Book
Curious2018

Print ISBN: 978-3-030-16060-9

Electronic ISBN: 978-3-030-16061-6

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-16061-6_6

Premium Partners

    Image Credits