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Sugrue JA, Duffy D. Systems vaccinology studies - achievements and future potential. Microbes Infect 2024:105318. [PMID: 38460935 DOI: 10.1016/j.micinf.2024.105318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 02/22/2024] [Accepted: 03/01/2024] [Indexed: 03/11/2024]
Abstract
Human immune responses to vaccination are variable both within and between populations. Systems vaccinology, which is the application of multi-omics technologies to vaccine studies, seeks to understand such variation and predict responses to optimise vaccine strategies. Here, we outline new approaches to systems vaccinology, focusing on the incorporation of additional cohorts, endpoints and technologies.
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Affiliation(s)
- Jamie A Sugrue
- Translational Immunology Unit, Institut Pasteur, Université de Paris Cité, F75015, Paris, France
| | - Darragh Duffy
- Translational Immunology Unit, Institut Pasteur, Université de Paris Cité, F75015, Paris, France.
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2
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Connors J, Cusimano G, Mege N, Woloszczuk K, Konopka E, Bell M, Joyner D, Marcy J, Tardif V, Kutzler MA, Muir R, Haddad EK. Using the power of innate immunoprofiling to understand vaccine design, infection, and immunity. Hum Vaccin Immunother 2023; 19:2267295. [PMID: 37885158 PMCID: PMC10760375 DOI: 10.1080/21645515.2023.2267295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 10/03/2023] [Indexed: 10/28/2023] Open
Abstract
In the field of immunology, a systems biology approach is crucial to understanding the immune response to infection and vaccination considering the complex interplay between genetic, epigenetic, and environmental factors. Significant progress has been made in understanding the innate immune response, including cell players and critical signaling pathways, but many questions remain unanswered, including how the innate immune response dictates host/pathogen responses and responses to vaccines. To complicate things further, it is becoming increasingly clear that the innate immune response is not a linear pathway but is formed from complex networks and interactions. To further our understanding of the crosstalk and complexities, systems-level analyses and expanded experimental technologies are now needed. In this review, we discuss the most recent immunoprofiling techniques and discuss systems approaches to studying the global innate immune landscape which will inform on the development of personalized medicine and innovative vaccine strategies.
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Affiliation(s)
- Jennifer Connors
- Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, USA
- Department of Medicine, Division of Infectious Diseases and HIV Medicine, Drexel University College of Medicine, Philadelphia, PA, USA
| | - Gina Cusimano
- Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, USA
- Department of Medicine, Division of Infectious Diseases and HIV Medicine, Drexel University College of Medicine, Philadelphia, PA, USA
| | - Nathan Mege
- Tower Health, Reading Hospital, West Reading, PA, USA
| | - Kyra Woloszczuk
- Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, USA
- Department of Medicine, Division of Infectious Diseases and HIV Medicine, Drexel University College of Medicine, Philadelphia, PA, USA
| | - Emily Konopka
- Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, USA
- Department of Medicine, Division of Infectious Diseases and HIV Medicine, Drexel University College of Medicine, Philadelphia, PA, USA
| | - Matthew Bell
- Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, USA
- Department of Medicine, Division of Infectious Diseases and HIV Medicine, Drexel University College of Medicine, Philadelphia, PA, USA
| | - David Joyner
- Department of Medicine, Division of Infectious Diseases and HIV Medicine, Drexel University College of Medicine, Philadelphia, PA, USA
- Department of Molecular and Cellular Biology, Drexel University College of Medicine, Philadelphia, PA, USA
| | - Jennifer Marcy
- Department of Molecular and Cellular Biology, Drexel University College of Medicine, Philadelphia, PA, USA
| | - Virginie Tardif
- Department of Medicine, Division of Infectious Diseases and HIV Medicine, Drexel University College of Medicine, Philadelphia, PA, USA
| | - Michele A. Kutzler
- Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, USA
- Department of Medicine, Division of Infectious Diseases and HIV Medicine, Drexel University College of Medicine, Philadelphia, PA, USA
| | - Roshell Muir
- Department of Medicine, Division of Infectious Diseases and HIV Medicine, Drexel University College of Medicine, Philadelphia, PA, USA
- Department of Family, Community, and Preventative Medicine, Drexel University College of Medicine, Philadelphia, PA, USA
| | - Elias K. Haddad
- Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA, USA
- Department of Medicine, Division of Infectious Diseases and HIV Medicine, Drexel University College of Medicine, Philadelphia, PA, USA
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3
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Xiao H, Rosen A, Chhibbar P, Moise L, Das J. From bench to bedside via bytes: Multi-omic immunoprofiling and integration using machine learning and network approaches. Hum Vaccin Immunother 2023; 19:2282803. [PMID: 38100557 PMCID: PMC10730168 DOI: 10.1080/21645515.2023.2282803] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Accepted: 11/09/2023] [Indexed: 12/17/2023] Open
Abstract
A significant surge in research endeavors leverages the vast potential of high-throughput omic technology platforms for broad profiling of biological responses to vaccines and cutting-edge immunotherapies and stem-cell therapies under development. These profiles capture different aspects of core regulatory and functional processes at different scales of resolution from molecular and cellular to organismal. Systems approaches capture the complex and intricate interplay between these layers and scales. Here, we summarize experimental data modalities, for characterizing the genome, epigenome, transcriptome, proteome, metabolome, and antibody-ome, that enable us to generate large-scale immune profiles. We also discuss machine learning and network approaches that are commonly used to analyze and integrate these modalities, to gain insights into correlates and mechanisms of natural and vaccine-mediated immunity as well as therapy-induced immunomodulation.
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Affiliation(s)
- Hanxi Xiao
- Center for Systems Immunology, Departments of Immunology and Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Aaron Rosen
- Center for Systems Immunology, Departments of Immunology and Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Prabal Chhibbar
- Center for Systems Immunology, Departments of Immunology and Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Jishnu Das
- Center for Systems Immunology, Departments of Immunology and Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA, USA
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4
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Drake KA, Talantov D, Tong GJ, Lin JT, Verheijden S, Katz S, Leung JM, Yuen B, Krishna V, Wu MJ, Sutherland AM, Short SA, Kheradpour P, Mumbach MR, Franz KM, Trifonov V, Lucas MV, Merson J, Kim CC. Multi-omic profiling reveals early immunological indicators for identifying COVID-19 Progressors. Clin Immunol 2023; 256:109808. [PMID: 37852344 DOI: 10.1016/j.clim.2023.109808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 09/25/2023] [Accepted: 10/11/2023] [Indexed: 10/20/2023]
Abstract
We sought to better understand the immune response during the immediate post-diagnosis phase of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by identifying molecular associations with longitudinal disease outcomes. Multi-omic analyses identified differences in immune cell composition, cytokine levels, and cell subset-specific transcriptomic and epigenomic signatures between individuals on a more serious disease trajectory (Progressors) as compared to those on a milder course (Non-progressors). Higher levels of multiple cytokines were observed in Progressors, with IL-6 showing the largest difference. Blood monocyte cell subsets were also skewed, showing a comparative decrease in non-classical CD14-CD16+ and intermediate CD14+CD16+ monocytes. In lymphocytes, the CD8+ T effector memory cells displayed a gene expression signature consistent with stronger T cell activation in Progressors. These early stage observations could serve as the basis for the development of prognostic biomarkers of disease risk and interventional strategies to improve the management of severe COVID-19. BACKGROUND: Much of the literature on immune response post-SARS-CoV-2 infection has been in the acute and post-acute phases of infection. TRANSLATIONAL SIGNIFICANCE: We found differences at early time points of infection in approximately 160 participants. We compared multi-omic signatures in immune cells between individuals progressing to needing more significant medical intervention and non-progressors. We observed widespread evidence of a state of increased inflammation associated with progression, supported by a range of epigenomic, transcriptomic, and proteomic signatures. The signatures we identified support other findings at later time points and serve as the basis for prognostic biomarker development or to inform interventional strategies.
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Affiliation(s)
- Katherine A Drake
- Verily Life Sciences, South San Francisco, CA, United States of America
| | - Dimitri Talantov
- Janssen Research & Development, LLC, San Diego, CA, United States of America
| | - Gary J Tong
- Verily Life Sciences, South San Francisco, CA, United States of America
| | - Jack T Lin
- Verily Life Sciences, South San Francisco, CA, United States of America
| | | | - Samuel Katz
- Verily Life Sciences, South San Francisco, CA, United States of America
| | | | - Benjamin Yuen
- Verily Life Sciences, South San Francisco, CA, United States of America
| | - Vinod Krishna
- Janssen Research & Development, LLC, San Diego, CA, United States of America
| | - Michelle J Wu
- Verily Life Sciences, South San Francisco, CA, United States of America
| | | | - Sarah A Short
- Verily Life Sciences, South San Francisco, CA, United States of America
| | - Pouya Kheradpour
- Verily Life Sciences, South San Francisco, CA, United States of America
| | - Maxwell R Mumbach
- Verily Life Sciences, South San Francisco, CA, United States of America
| | - Kate M Franz
- Verily Life Sciences, South San Francisco, CA, United States of America
| | - Vladimir Trifonov
- Janssen Research & Development, LLC, San Diego, CA, United States of America
| | - Molly V Lucas
- Janssen Research & Development, LLC, NJ, United States of America
| | - James Merson
- Janssen Research & Development, LLC, San Francisco, CA, United States of America
| | - Charles C Kim
- Verily Life Sciences, South San Francisco, CA, United States of America.
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Müller S, Schultze JL. Systems analysis of human innate immunity in COVID-19. Semin Immunol 2023; 68:101778. [PMID: 37267758 PMCID: PMC10201327 DOI: 10.1016/j.smim.2023.101778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 05/13/2023] [Accepted: 05/13/2023] [Indexed: 06/04/2023]
Abstract
Recent developments in sequencing technologies, the computer and data sciences, as well as increasingly high-throughput immunological measurements have made it possible to derive holistic views on pathophysiological processes of disease and treatment effects directly in humans. We and others have illustrated that incredibly predictive data for immune cell function can be generated by single cell multi-omics (SCMO) technologies and that these technologies are perfectly suited to dissect pathophysiological processes in a new disease such as COVID-19, triggered by SARS-CoV-2 infection. Systems level interrogation not only revealed the different disease endotypes, highlighted the differential dynamics in context of disease severity, and pointed towards global immune deviation across the different arms of the immune system, but was already instrumental to better define long COVID phenotypes, suggest promising biomarkers for disease and therapy outcome predictions and explains treatment responses for the widely used corticosteroids. As we identified SCMO to be the most informative technologies in the vest to better understand COVID-19, we propose to routinely include such single cell level analysis in all future clinical trials and cohorts addressing diseases with an immunological component.
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Affiliation(s)
- Sophie Müller
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) e.V., Bonn, Germany; Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia; Genomics & Immunoregulation, Life and Medical Sciences (LIMES) Institute, University of Bonn, Bonn, Germany
| | - Joachim L Schultze
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE) e.V., Bonn, Germany; Genomics & Immunoregulation, Life and Medical Sciences (LIMES) Institute, University of Bonn, Bonn, Germany; PRECISE Platform for Single Cell Genomics and Epigenomics, DZNE and University of Bonn, Bonn, Germany.
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Abstract
"The Primate Malarias" book has been a uniquely important resource for multiple generations of scientists, since its debut in 1971, and remains pertinent to the present day. Indeed, nonhuman primates (NHPs) have been instrumental for major breakthroughs in basic and pre-clinical research on malaria for over 50 years. Research involving NHPs have provided critical insights and data that have been essential for malaria research on many parasite species, drugs, vaccines, pathogenesis, and transmission, leading to improved clinical care and advancing research goals for malaria control, elimination, and eradication. Whilst most malaria scientists over the decades have been studying Plasmodium falciparum, with NHP infections, in clinical studies with humans, or using in vitro culture or rodent model systems, others have been dedicated to advancing research on Plasmodium vivax, as well as on phylogenetically related simian species, including Plasmodium cynomolgi, Plasmodium coatneyi, and Plasmodium knowlesi. In-depth study of these four phylogenetically related species over the years has spawned the design of NHP longitudinal infection strategies for gathering information about ongoing infections, which can be related to human infections. These Plasmodium-NHP infection model systems are reviewed here, with emphasis on modern systems biological approaches to studying longitudinal infections, pathogenesis, immunity, and vaccines. Recent discoveries capitalizing on NHP longitudinal infections include an advanced understanding of chronic infections, relapses, anaemia, and immune memory. With quickly emerging new technological advances, more in-depth research and mechanistic discoveries can be anticipated on these and additional critical topics, including hypnozoite biology, antigenic variation, gametocyte transmission, bone marrow dysfunction, and loss of uninfected RBCs. New strategies and insights published by the Malaria Host-Pathogen Interaction Center (MaHPIC) are recapped here along with a vision that stresses the importance of educating future experts well trained in utilizing NHP infection model systems for the pursuit of innovative, effective interventions against malaria.
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Affiliation(s)
- Mary R Galinski
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.
- Emory Vaccine Center, Emory University, Atlanta, GA, USA.
- Emory National Primate Research Center (Yerkes National Primate Research Center), Emory University, Atlanta, GA, USA.
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Xu Q, Yang Y, Zhang X, Cai JJ. Association of pyroptosis and severeness of COVID-19 as revealed by integrated single-cell transcriptome data analysis. Immunoinformatics (Amst) 2022; 6:100013. [PMID: 35434695 PMCID: PMC8994680 DOI: 10.1016/j.immuno.2022.100013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 03/02/2022] [Accepted: 04/07/2022] [Indexed: 02/07/2023]
Abstract
Cytokine storm and inflammatory cytokine release syndrome are often found to be associated with severe instances of the 2019 coronavirus disease (COVID-19). However, factors that contribute to the development of the COVID-19-associated cytokine storm and intensify the hyperinflammatory response are not well known. Here, we integratively analyzed scRNAseq data of 37,607 immune cells of eight different cell types from four studies involving COVID-19 patients in either moderate or severe conditions. Our analysis showed that pyroptosis-a lytic, inflammatory type of programmed cell death-may play a critical role in the SARS-CoV-2-induced cytokine storm. The expression of the key markers of pyroptosis, such as pro-inflammatory cytokine genes IL1B and IL18, is significantly higher in moderate and severe COVID-19 patients than in healthy controls. The pattern is more pronounced in macrophages and neutrophils than in adaptive immune cells such as T cells and B cells. Furthermore, the lack of interferon-gamma (IFN-γ) and overexpression of ninjurin 1 (NINJ1) in macrophages may exacerbate the systemic inflammation, as shown in severe COVID-19 patients. Finally, we developed a scoring metric to quantitatively assess single cell's pyroptotic state and demonstrated the use of this pyroptosis signature score to scRNAseq data. Taken together, our study underscores the importance of the pyroptosis pathway and highlights its clinical relevance, suggesting that pyroptosis is a cellular process that can be a potential target for the treatment of COVID-19 associated diseases.
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Affiliation(s)
- Qian Xu
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX 77845, USA
| | - Yongjian Yang
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77845, USA
| | - Xiuren Zhang
- Department of Biology, Texas A&M University, College Station, Texas 77845, USA
| | - James J Cai
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX 77845, USA
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77845, USA
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Hof A, Geißen S, Singgih K, Mollenhauer M, Winkels H, Benzing T, Baldus S, Hoyer FF. Myeloid leukocytes' diverse effects on cardiovascular and systemic inflammation in chronic kidney disease. Basic Res Cardiol 2022; 117:38. [PMID: 35896846 DOI: 10.1007/s00395-022-00945-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 06/24/2022] [Accepted: 07/11/2022] [Indexed: 01/31/2023]
Abstract
Chronic kidney disease's prevalence rises globally. Whereas dialysis treatment replaces the kidney's filtering function and prolongs life, dreaded consequences in remote organs develop inevitably over time. Even milder reductions in kidney function not requiring replacement therapy associate with bacterial infections, cardiovascular and heart valve disease, which markedly limit prognosis in these patients. The array of complications is diverse and engages a wide gamut of cellular and molecular mechanisms. The innate immune system is profoundly and systemically altered in chronic kidney disease and, as a unifying element, partakes in many of the disease's complications. As such, a derailed immune system fuels cardiovascular disease progression but also elevates the propensity for serious bacterial infections. Recent data further point towards a role in developing calcific aortic valve stenosis. Here, we delineate the current state of knowledge on how chronic kidney disease affects innate immunity in cardiovascular organs and on a systemic level. We review the role of circulating myeloid cells, monocytes and neutrophils, resident macrophages, dendritic cells, ligands, and cellular pathways that are activated or suppressed when renal function is chronically impaired. Finally, we discuss myeloid cells' varying responses to uremia from a systems immunology perspective.
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Soni B, Singh S. COVID-19 co-infection mathematical model as guided through signaling structural framework. Comput Struct Biotechnol J 2021; 19:1672-1683. [PMID: 33815692 PMCID: PMC7997053 DOI: 10.1016/j.csbj.2021.03.028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 03/22/2021] [Accepted: 03/22/2021] [Indexed: 12/23/2022] Open
Abstract
SARS-CoV-2 and Influenza co-infection turned out to be a huge threat in recent times. The clinical presentation and disease severity is common in both the infection condition. The present paper deals with studying co-infection model system through systems biology approaches. Understanding signaling regulation in COVID-19 and co-infection model systems aid in the development of network-based models thereby suggesting intervention points for therapeutics. This paper highlights the aim of revealing such perturbations to decipher opportune mediating cross talks characterizing the deadly viral disease. The comparative analysis of both the models reveals major signaling protein NFκB and STAT1 playing a crucial role in establishing co-infection. By targeting these proteins at cellular level, it might help modulating the release of potent pro-inflammatory cytokines thereby taming the severity of the disease symptoms. Mathematical models developed here are precisely tailored and serves as a first step towards co-infection model offering flexibility and pitching towards therapeutic investigation.
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Affiliation(s)
- Bhavnita Soni
- National Centre for Cell Science, NCCS Complex, Ganeshkhind, SPPU Campus, Pune 411007, India
| | - Shailza Singh
- National Centre for Cell Science, NCCS Complex, Ganeshkhind, SPPU Campus, Pune 411007, India
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Atallah MB, Tandon V, Hiam KJ, Boyce H, Hori M, Atallah W, Spitzer MH, Engleman E, Mallick P. ImmunoGlobe: enabling systems immunology with a manually curated intercellular immune interaction network. BMC Bioinformatics 2020; 21:346. [PMID: 32778050 PMCID: PMC7430879 DOI: 10.1186/s12859-020-03702-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Accepted: 07/27/2020] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND While technological advances have made it possible to profile the immune system at high resolution, translating high-throughput data into knowledge of immune mechanisms has been challenged by the complexity of the interactions underlying immune processes. Tools to explore the immune network are critical for better understanding the multi-layered processes that underlie immune function and dysfunction, but require a standardized network map of immune interactions. To facilitate this we have developed ImmunoGlobe, a manually curated intercellular immune interaction network extracted from Janeway's Immunobiology textbook. RESULTS ImmunoGlobe is the first graphical representation of the immune interactome, and is comprised of 253 immune system components and 1112 unique immune interactions with detailed functional and characteristic annotations. Analysis of this network shows that it recapitulates known features of the human immune system and can be used uncover novel multi-step immune pathways, examine species-specific differences in immune processes, and predict the response of immune cells to stimuli. ImmunoGlobe is publicly available through a user-friendly interface at www.immunoglobe.org and can be downloaded as a computable graph and network table. CONCLUSION While the fields of proteomics and genomics have long benefited from network analysis tools, no such tool yet exists for immunology. ImmunoGlobe provides a ground truth immune interaction network upon which such tools can be built. These tools will allow us to predict the outcome of complex immune interactions, providing mechanistic insight that allows us to precisely modulate immune responses in health and disease.
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Affiliation(s)
- Michelle B Atallah
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Kamir J Hiam
- Departments of Otolaryngology and Microbiology & Immunology, Helen Diller Family Comprehensive Cancer Center, Parker Institute for Cancer Immunotherapy, Chan Zuckerberg Biohub, University of California, San Francisco, CA, USA
| | - Hunter Boyce
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Michelle Hori
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Waleed Atallah
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Matthew H Spitzer
- Departments of Otolaryngology and Microbiology & Immunology, Helen Diller Family Comprehensive Cancer Center, Parker Institute for Cancer Immunotherapy, Chan Zuckerberg Biohub, University of California, San Francisco, CA, USA
| | - Edgar Engleman
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Parag Mallick
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.
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Bediako Y, Adams R, Reid AJ, Valletta JJ, Ndungu FM, Sodenkamp J, Mwacharo J, Ngoi JM, Kimani D, Kai O, Wambua J, Nyangweso G, de Villiers EP, Sanders M, Lotkowska ME, Lin JW, Manni S, Addy JWG, Recker M, Newbold C, Berriman M, Bejon P, Marsh K, Langhorne J. Repeated clinical malaria episodes are associated with modification of the immune system in children. BMC Med 2019; 17:60. [PMID: 30862316 PMCID: PMC6415347 DOI: 10.1186/s12916-019-1292-y] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Accepted: 02/18/2019] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND There are over 200 million reported cases of malaria each year, and most children living in endemic areas will experience multiple episodes of clinical disease before puberty. We set out to understand how frequent clinical malaria, which elicits a strong inflammatory response, affects the immune system and whether these modifications are observable in the absence of detectable parasitaemia. METHODS We used a multi-dimensional approach comprising whole blood transcriptomic, cellular and plasma cytokine analyses on a cohort of children living with endemic malaria, but uninfected at sampling, who had been under active surveillance for malaria for 8 years. Children were categorised into two groups depending on the cumulative number of episodes experienced: high (≥ 8) or low (< 5). RESULTS We observe that multiple episodes of malaria are associated with modification of the immune system. Children who had experienced a large number of episodes demonstrated upregulation of interferon-inducible genes, a clear increase in circulating levels of the immunoregulatory cytokine IL-10 and enhanced activation of neutrophils, B cells and CD8+ T cells. CONCLUSION Transcriptomic analysis together with cytokine and immune cell profiling of peripheral blood can robustly detect immune differences between children with different numbers of prior malaria episodes. Multiple episodes of malaria are associated with modification of the immune system in children. Such immune modifications may have implications for the initiation of subsequent immune responses and the induction of vaccine-mediated protection.
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Affiliation(s)
| | | | - Adam J Reid
- Wellcome Genome Campus, Wellcome Sanger Institute, Hinxton, Cambridgeshire, UK
| | | | | | - Jan Sodenkamp
- Francis Crick Institute, London, UK.,Present Address: Transla TUM, Zentralinstitut für translationale Krebsforschung der Technischen Universität München, Munich, Germany
| | | | - Joyce Mwongeli Ngoi
- KEMRI/Wellcome Trust Research Programme, Kilifi, Kenya.,Present Address: West African Centre for Cell Biology of Infectious Pathogens, University of Ghana, Accra, Ghana
| | | | - Oscar Kai
- KEMRI/Wellcome Trust Research Programme, Kilifi, Kenya
| | | | | | - Etienne P de Villiers
- KEMRI/Wellcome Trust Research Programme, Kilifi, Kenya.,Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Mandy Sanders
- Wellcome Genome Campus, Wellcome Sanger Institute, Hinxton, Cambridgeshire, UK
| | - Magda Ewa Lotkowska
- Wellcome Genome Campus, Wellcome Sanger Institute, Hinxton, Cambridgeshire, UK
| | - Jing-Wen Lin
- Francis Crick Institute, London, UK.,Present Address: Division of Pediatric Infectious Diseases, State Key Laboratory of Biotherapy, Sichuan University and Collaboration Innovation Centre, Chengdu, China
| | | | | | | | - Chris Newbold
- Wellcome Genome Campus, Wellcome Sanger Institute, Hinxton, Cambridgeshire, UK.,Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Matthew Berriman
- Wellcome Genome Campus, Wellcome Sanger Institute, Hinxton, Cambridgeshire, UK
| | - Philip Bejon
- KEMRI/Wellcome Trust Research Programme, Kilifi, Kenya
| | - Kevin Marsh
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
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12
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Abstract
The immune system is a highly complex and dynamic biological system. It operates through intracellular molecular networks and intercellular (cell-cell) interaction networks. Systems immunology is an emerging discipline that applies systems biology approaches of integrating high-throughput multi-omics measurements with computational network modeling to better understand immunity at various scales. In this review, we summarize key omics technologies and computational approaches used for immunological studies at both population and single-cell levels. We highlight the hidden driver analysis based on data-driven networks and comment on the potential of translating systems immunology discoveries to immunotherapy of cancer and other human diseases.
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Affiliation(s)
- Jiyang Yu
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Junmin Peng
- Department of Structural Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
- Department of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
- Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Hongbo Chi
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
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13
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Abstract
As therapies involving the modulation, stimulation, and deliberate excitation of the immune system are becoming routine, better methods for monitoring immune responses in human patients are needed. Mass cytometry allows for detailed profiling of all immune cell populations and their functional responses using a simple blood sample. When combined with appropriate computational analyses, the resolution for distinguishing desired responses from unproductive or even adverse reactions to immunotherapeutic interventions increases. Here we describe a core experimental and computational framework for global, systems-level immune monitoring by mass cytometry.
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Affiliation(s)
- Tadepally Lakshmikanth
- Science for Life Laboratory, Division of Clinical Paediatrics, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Petter Brodin
- Science for Life Laboratory, Division of Clinical Paediatrics, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.
- Department of Newborn Medicine, Karolinska University Hospital, Stockholm, Sweden.
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14
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Schaffert S, Khatri P. Early life immunity in the era of systems biology: understanding development and disease. Genome Med 2018; 10:88. [PMID: 30470248 PMCID: PMC6260988 DOI: 10.1186/s13073-018-0599-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Accepted: 11/12/2018] [Indexed: 01/21/2023] Open
Abstract
Systems immunology has the potential to offer invaluable insights into the development of the immune system. Two recent studies offer an in-depth view of both the dynamics of immune system development and the heritability of the levels of key immune modulators at birth.
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Affiliation(s)
- Steven Schaffert
- Institute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA, 94305, USA.,Department of Medicine, Division of Biomedical Informatics Research, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Purvesh Khatri
- Institute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA, 94305, USA. .,Department of Medicine, Division of Biomedical Informatics Research, Stanford University School of Medicine, Stanford, CA, 94305, USA.
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15
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Soni B, Nimsarkar P, Mol M, Saha B, Singh S. Systems-synthetic biology in understanding the complexities and simple devices in immunology. Cytokine 2018; 108:60-66. [PMID: 29579544 DOI: 10.1016/j.cyto.2018.03.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2017] [Revised: 03/16/2018] [Accepted: 03/19/2018] [Indexed: 10/17/2022]
Abstract
Systems and synthetic biology in the coming era has the ability to manipulate, stimulate and engineer cells to counteract the pathogenic immune response. The inherent biological complexities associated with the creation of a device allow capitalizing the biotechnological resources either by simply administering a recombinant cytokine or just reprogramming the immune cells. The strategy outlined, adopted and discussed may mark the beginning with promising therapeutics based on the principles of synthetic immunology.
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Affiliation(s)
- Bhavnita Soni
- National Centre for Cell Science, NCCS Complex, Ganeshkhind, SP Pune University Campus, Pune 411007, India
| | - Prajakta Nimsarkar
- National Centre for Cell Science, NCCS Complex, Ganeshkhind, SP Pune University Campus, Pune 411007, India
| | - Milsee Mol
- National Centre for Cell Science, NCCS Complex, Ganeshkhind, SP Pune University Campus, Pune 411007, India
| | - Bhaskar Saha
- National Centre for Cell Science, NCCS Complex, Ganeshkhind, SP Pune University Campus, Pune 411007, India
| | - Shailza Singh
- National Centre for Cell Science, NCCS Complex, Ganeshkhind, SP Pune University Campus, Pune 411007, India.
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16
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Schultze JL, Aschenbrenner AC. Systems immunology allows a new view on human dendritic cells. Semin Cell Dev Biol 2018; 86:15-23. [PMID: 29448068 DOI: 10.1016/j.semcdb.2018.02.017] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2017] [Revised: 11/23/2017] [Accepted: 02/10/2018] [Indexed: 01/12/2023]
Abstract
As the most important antigen-presenting cells, dendritic cells connect the innate and adaptive part of our immune system and play a pivotal role in our course of action against invading pathogens as well as during successful vaccination. Immunologists have therefore studied these cells in great detail using flow cytometry-based analyses, in vitro assays and in vivo models, both in murine models and in humans. Albeit, sophisticated, classical immunological, and molecular approaches were often unable to unequivocally determine the subpopulation structure of the dendritic cell lineage and not surprisingly, conflicting results about dendritic cell subsets co-existed throughout the last decades. With the advent of systems approaches and the most recent introduction of -omics approaches on the single cell level combined with multi-colour flow cytometry or mass cytometry, we now enter an era allowing us to define cell population structures with an unprecedented precision. We will report here on the most recent studies applying these technologies to human dendritic cells. Proper delineation of and definition of molecular signatures for the different human dendritic cell subsets will greatly facilitate studying these cells in the future: understanding their function under physiological as well as pathological conditions.
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Affiliation(s)
- Joachim L Schultze
- Genomics and Immunoregulation, Life & Medical Sciences (LIMES) Institute, University of Bonn, Carl-Troll-Str. 31, 53115 Bonn, Germany; Platform for Single Cell Genomics and Epigenomics, German Center for Neurodegenerative Diseases and University of Bonn, Sigmund-Freud-Str. 27, 53175 Bonn, Germany.
| | - Anna C Aschenbrenner
- Genomics and Immunoregulation, Life & Medical Sciences (LIMES) Institute, University of Bonn, Carl-Troll-Str. 31, 53115 Bonn, Germany.
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17
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Palli R, Thakar J. Developing Network Models of Multiscale Host Responses Involved in Infections and Diseases. Methods Mol Biol 2018; 1819:385-402. [PMID: 30421414 DOI: 10.1007/978-1-4939-8618-7_18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Complex interactions involved in host response to infections and diseases require advanced analytical tools to infer drivers of the response in order to develop strategies for intervention. This chapter discusses approaches to assemble interactions ranging from molecular to cellular levels and their analysis to investigate the cross talk between immune pathways. Particularly, construction of immune networks by either data-driven or literature-driven methods is explained. Next, graph theoretic approaches for probing static network properties as well as visualization of networks are discussed. Finally, development of Boolean models for simulation of network dynamics to investigate cross talk and emergent properties are considered along with Boolean-like models that may compensate for some of the limitations encountered in Boolean simulations. In conclusion, the chapter will allow readers to construct and analyze multiscale networks involved in immune responses.
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Affiliation(s)
- Rohith Palli
- Medical Scientist Training Program and Biophysics, Structural & Computational Biology graduate program, Rochester, NY, USA
| | - Juilee Thakar
- Departments of Microbiology and Immunology, Rochester, NY, USA.
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18
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Abstract
Identification of key genes for a given physiological or pathological process is an essential but still very challenging task for the entire biomedical research community. Statistics-based approaches, such as genome-wide association study (GWAS)- or quantitative trait locus (QTL)-related analysis have already made enormous contributions to identifying key genes associated with a given disease or phenotype, the success of which is however very much dependent on a huge number of samples. Recent advances in network biology, especially network inference directly from genome-scale data and the following-up network analysis, opens up new avenues to predict key genes driving a given biological process or cellular function. Here we review and compare the current approaches in predicting key genes, which have no chances to stand out by classic differential expression analysis, from gene-regulatory, protein-protein interaction, or gene expression correlation networks. We elaborate these network-based approaches mainly in the context of immunology and infection, and urge more usage of correlation network-based predictions. Such network-based key gene discovery approaches driven by information-enriched 'omics' data should be very useful for systematic key gene discoveries for any given biochemical process or cellular function, and also valuable for novel drug target discovery and novel diagnostic, prognostic and therapeutic-efficiency marker prediction for a specific disease or disorder.
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Affiliation(s)
- Feng Q He
- Department of Infection and Immunity, Group of Immune Systems Biology, Luxembourg Institute of Health, 29, rue Henri Koch, 4354, Esch-sur-Alzette, Luxembourg.
| | - Markus Ollert
- Department of Infection and Immunity, Group of Allergy and Clinical Immunology, Luxembourg Institute of Health, 29, rue Henri Koch, 4354, Esch-sur-Alzette, Luxembourg
- Odense Research Center for Anaphylaxis, Department of Dermatology and Allergy Center, Odense University Hospital, University of Southern Denmark, 5000, Odense C, Denmark
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19
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Greenplate AR, Johnson DB, Ferrell PB Jr, Irish JM. Systems immune monitoring in cancer therapy. Eur J Cancer 2016; 61:77-84. [PMID: 27155446 DOI: 10.1016/j.ejca.2016.03.085] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Accepted: 03/28/2016] [Indexed: 12/20/2022]
Abstract
Treatments that successfully modulate anti-cancer immunity have significantly improved outcomes for advanced stage malignancies and sparked intense study of the cellular mechanisms governing therapy response and resistance. These responses are governed by an evolving milieu of cancer and immune cell subpopulations that can be a rich source of biomarkers and biological insight, but it is only recently that research tools have developed to comprehensively characterize this level of cellular complexity. Mass cytometry is particularly well suited to tracking cells in complex tissues because >35 measurements can be made on each of hundreds of thousands of cells per sample, allowing all cells detected in a sample to be characterized for cell type, signalling activity, and functional outcome. This review focuses on mass cytometry as an example of systems level characterization of cancer and immune cells in human tissues, including blood, bone marrow, lymph nodes, and primary tumours. This review also discusses the state of the art in single cell tumour immunology, including tissue collection, technical and biological quality controls, computational analysis, and integration of different experimental and clinical data types. Ex vivo analysis of human tumour cells complements both in vivo monitoring, which generally measures far fewer features or lacks single cell resolution, and laboratory models, which incur cell type losses, signalling alterations, and genomic changes during establishment. Mass cytometry is on the leading edge of a new generation of cytomic tools that work with small tissue samples, such as a fine needle aspirates or blood draws, to monitor changes in rare or unexpected cell subsets during cancer therapy. This approach holds great promise for dissecting cellular microenvironments, monitoring how treatments affect tissues, revealing cellular biomarkers and effector mechanisms, and creating new treatments that productively engage the immune system to fight cancer and other diseases.
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20
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Eberhardt M, Lai X, Tomar N, Gupta S, Schmeck B, Steinkasserer A, Schuler G, Vera J. Third-Kind Encounters in Biomedicine: Immunology Meets Mathematics and Informatics to Become Quantitative and Predictive. Methods Mol Biol 2016; 1386:135-179. [PMID: 26677184 DOI: 10.1007/978-1-4939-3283-2_9] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
The understanding of the immune response is right now at the center of biomedical research. There are growing expectations that immune-based interventions will in the midterm provide new, personalized, and targeted therapeutic options for many severe and highly prevalent diseases, from aggressive cancers to infectious and autoimmune diseases. To this end, immunology should surpass its current descriptive and phenomenological nature, and become quantitative, and thereby predictive.Immunology is an ideal field for deploying the tools, methodologies, and philosophy of systems biology, an approach that combines quantitative experimental data, computational biology, and mathematical modeling. This is because, from an organism-wide perspective, the immunity is a biological system of systems, a paradigmatic instance of a multi-scale system. At the molecular scale, the critical phenotypic responses of immune cells are governed by large biochemical networks, enriched in nested regulatory motifs such as feedback and feedforward loops. This network complexity confers them the ability of highly nonlinear behavior, including remarkable examples of homeostasis, ultra-sensitivity, hysteresis, and bistability. Moving from the cellular level, different immune cell populations communicate with each other by direct physical contact or receiving and secreting signaling molecules such as cytokines. Moreover, the interaction of the immune system with its potential targets (e.g., pathogens or tumor cells) is far from simple, as it involves a number of attack and counterattack mechanisms that ultimately constitute a tightly regulated multi-feedback loop system. From a more practical perspective, this leads to the consequence that today's immunologists are facing an ever-increasing challenge of integrating massive quantities from multi-platforms.In this chapter, we support the idea that the analysis of the immune system demands the use of systems-level approaches to ensure the success in the search for more effective and personalized immune-based therapies.
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Affiliation(s)
- Martin Eberhardt
- Laboratory of Systems Tumor Immunology, Department of Dermatology, University Hospital Erlangen and Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
- Department of Dermatology, University Hospital Erlangen and Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | - Xin Lai
- Laboratory of Systems Tumor Immunology, Department of Dermatology, University Hospital Erlangen and Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
- Department of Dermatology, University Hospital Erlangen and Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | - Namrata Tomar
- Laboratory of Systems Tumor Immunology, Department of Dermatology, University Hospital Erlangen and Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
- Department of Dermatology, University Hospital Erlangen and Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | - Shailendra Gupta
- Department of Systems Biology and Bioinformatics, University of Rostock, Rostock, Germany
| | - Bernd Schmeck
- Department of Medicine, Pulmonary and Critical Care Medicine, University Medical Center Marburg, Philipps University, Marburg, Germany
- Systems Biology Platform, Institute for Lung Research/iLung, German Center for Lung Research, Universities of Giessen and Marburg Lung Centre, Philipps University Marburg, Marburg, Germany
| | - Alexander Steinkasserer
- Department of Immune Modulation at the Department of Dermatology, University Hospital Erlangen, Erlangen, Germany
| | - Gerold Schuler
- Department of Dermatology, University Hospital Erlangen and Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | - Julio Vera
- Laboratory of Systems Tumor Immunology, Department of Dermatology, University Hospital Erlangen and Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.
- Department of Dermatology, University Hospital Erlangen and Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.
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21
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Furman D, Davis MM. New approaches to understanding the immune response to vaccination and infection. Vaccine 2015; 33:5271-81. [PMID: 26232539 DOI: 10.1016/j.vaccine.2015.06.117] [Citation(s) in RCA: 81] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2015] [Revised: 04/26/2015] [Accepted: 06/29/2015] [Indexed: 02/06/2023]
Abstract
The immune system is a network of specialized cell types and tissues that communicates via cytokines and direct contact, to orchestrate specific types of defensive responses. Until recently, we could only study immune responses in a piecemeal, highly focused fashion, on major components like antibodies to the pathogen. But recent advances in technology and in our understanding of the many components of the system, innate and adaptive, have made possible a broader approach, where both the multiple responding cells and cytokines in the blood are measured. This systems immunology approach to a vaccine response or an infection gives us a more holistic picture of the different parts of the immune system that are mobilized and should allow us a much better understanding of the pathways and mechanisms of such responses, as well as to predict vaccine efficacy in different populations well in advance of efficacy studies. Here we summarize the different technologies and methods and discuss how they can inform us about the differences between diseases and vaccines, and how they can greatly accelerate vaccine development.
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Affiliation(s)
- David Furman
- Institute for Immunity, Transplantation and Infection, School of Medicine, Stanford University, Stanford, CA, United States; Department of Microbiology and Immunology, School of Medicine, Stanford University, Stanford, CA, United States
| | - Mark M Davis
- Institute for Immunity, Transplantation and Infection, School of Medicine, Stanford University, Stanford, CA, United States; Department of Microbiology and Immunology, School of Medicine, Stanford University, Stanford, CA, United States; Howard Hughes Medical Institute, School of Medicine, Stanford University, Stanford, CA, United States.
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22
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Chaussabel D. Assessment of immune status using blood transcriptomics and potential implications for global health. Semin Immunol 2015; 27:58-66. [PMID: 25823891 DOI: 10.1016/j.smim.2015.03.002] [Citation(s) in RCA: 66] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2015] [Revised: 03/02/2015] [Accepted: 03/03/2015] [Indexed: 12/17/2022]
Abstract
The immune system plays a key role in health maintenance and pathogenesis of a wide range of diseases. Leukocytes that are present in the blood convey valuable information about the status of the immune system. Blood transcriptomics, which consists in profiling blood transcript abundance on genome-wide scales, has gained in popularity over the past several years. Indeed, practicality and simplicity largely makes up for what this approach may lack in terms of cell population-level resolution. An extensive survey of the literature reveals increasingly widespread use across virtually all fields of medicine as well as across a number of different animal species, including model organisms but also animals of economical importance. Dissemination across such a wide range of disciplines holds the promise of adding a new perspective, breadth or context, to the considerable depth afforded by whole genome profiling of blood transcript abundance. Indeed, it is only through such contextualization that a truly global perspective will be gained from the use of systems approaches. Also discussed are opportunities that may arise for the fields of immunology and medicine from using blood transcriptomics as a common denominator for developing interactions and cooperation across fields of research that have traditionally been and largely remain compartmentalized. Finally, an argument is made for building immunology research capacity using blood transcriptomics platforms in low-resource and high-disease burden settings.
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23
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Arazi A, Pendergraft WF 3rd, Ribeiro RM, Perelson AS, Hacohen N. Human systems immunology: hypothesis-based modeling and unbiased data-driven approaches. Semin Immunol 2013; 25:193-200. [PMID: 23375135 DOI: 10.1016/j.smim.2012.11.003] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2012] [Accepted: 11/08/2012] [Indexed: 11/23/2022]
Abstract
Systems immunology is an emerging paradigm that aims at a more systematic and quantitative understanding of the immune system. Two major approaches have been utilized to date in this field: unbiased data-driven modeling to comprehensively identify molecular and cellular components of a system and their interactions; and hypothesis-based quantitative modeling to understand the operating principles of a system by extracting a minimal set of variables and rules underlying them. In this review, we describe applications of the two approaches to the study of viral infections and autoimmune diseases in humans, and discuss possible ways by which these two approaches can synergize when applied to human immunology.
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