Dismantling the immune system

During the past year, we have witnessed a veritable explosion in the number of mutant mouse strains produced by gene targeting in embryonic stem cells. Many of the informative targeted mutants have relevance to the field of immunology. At least one mutant mouse strain now exists for most of the important genes in immunology, and this collection of mutant mice has greatly expanded the experimental repertoire of immunologists. New targeting techniques have been developed that have often found their first application in immunology.     

Computational immunology: The coming of age

The explosive growth in biotechnology combined with major advances in information technology has the potential to radically transform immunology in the postgenomics era. Not only do we now have ready access to vast quantities of existing data, but new data with relevance to immunology are being accumulated at an exponential rate. Resources for computational immunology include biological databases and methods for data extraction, comparison, analysis and interpretation. Publicly accessible biological databases of relevance to immunologists number in the hundreds and are growing daily. The ability to efficiently extract and analyse information from these databases is vital for efficient immunology research. Most importantly, a new generation of computational immunology tools enables modelling of peptide transport by the transporter associated with antigen processing (TAP), modelling of antibody binding sites, identification of allergenic motifs and modelling of T-cell receptor serial triggering.     

Wild immunology

In wild populations, individuals are regularly exposed to a wide range of pathogens. In this context, organisms must elicit and regulate effective immune responses to protect their health while avoiding immunopathology. However, most of our knowledge about the function and dynamics of immune responses comes from laboratory studies performed on inbred mice in highly controlled environments with limited exposure to infection. Natural populations, on the other hand, exhibit wide genetic and environmental diversity. We argue that now is the time for immunology to be taken into the wild. The goal of 'wild immunology' is to link immune phenotype with host fitness in natural environments. To achieve this requires relevant measures of immune responsiveness that are both applicable to the host-parasite interaction under study and robustly associated with measures of host and parasite fitness. Bringing immunology to nonmodel organisms and linking that knowledge host fitness, and ultimately population dynamics, will face difficult challenges, both technical (lack of reagents and annotated genomes) and statistical (variation among individuals and populations). However, the affordability of new genomic technologies will help immunologists, ecologists and evolutionary biologists work together to translate and test our current knowledge of immune mechanisms in natural systems. From this approach, ecologists will gain new insight into mechanisms relevant to host health and fitness, while immunologists will be given a measure of the real-world health impacts of the immune factors they study. Thus, wild immunology can be the missing link between laboratory-based immunology and human, wildlife and domesticated animal health.     

Pep-3D-Search: a method for B-cell epitope prediction based on mimotope analysis

Background  

The prediction of conformational B-cell epitopes is one of the most important goals in immunoinformatics. The solution to this problem, even if approximate, would help in designing experiments to precisely map the residues of interaction between an antigen and an antibody. Consequently, this area of research has received considerable attention from immunologists, structural biologists and computational biologists. Phage-displayed random peptide libraries are powerful tools used to obtain mimotopes that are selected by binding to a given monoclonal antibody (mAb) in a similar way to the native epitope. These mimotopes can be considered as functional epitope mimics. Mimotope analysis based methods can predict not only linear but also conformational epitopes and this has been the focus of much research in recent years. Though some algorithms based on mimotope analysis have been proposed, the precise localization of the interaction site mimicked by the mimotopes is still a challenging task.     

Highlights of 10 years of immunology in Nature Reviews Immunology

As Nature Reviews Immunology reaches its 10(th) anniversary, the authors of one of the top-cited articles from each year take a trip down memory lane. We've asked them to look back on the state of research at the time their Review was published, to consider why the article has had the impact it has and to discuss the future directions of their field. This Viewpoint article provides an interesting snapshot of some of the fundamental advances in immunology over the past 10 years. Highlights include our improved understanding of Toll-like receptor signalling, and of immune regulation mediated by regulatory T cells, indoleamine 2,3-dioxygenase, myeloid-derived suppressor cells and interleukin-10. The complexities in the development and heterogeneity of macrophages, dendritic cells and T helper cells continue to engage immunologists, as do the immune processes involved in diseases such as atherosclerosis. We look forward to what the next 10 years of immunology research may bring.     

Pathogen pressure puts immune defense into perspective

The extent to which organisms can protect themselves from disease depends on both the immune defenses they maintain and the pathogens they face. At the same time, immune systems are shaped by the antigens they encounter, both over ecological and evolutionary time. Ecological immunologists often recognize these interactions, yet ecological immunology currently lacks major efforts to characterize the environmental, host-independent, antigenic pressures to which all animals are exposed. Failure to quantify relevant diseases and pathogens in studies of ecological immunology leads to contradictory hypotheses. In contrast, including measures of environmental and host-derived commensals, pathogens, and other immune-relevant organisms will strengthen the field of ecological immunology. In this article, we examine how pathogens and other organisms shape immune defenses and highlight why such information is essential for a better understanding of the causes of variation in immune defenses. We introduce the concept of "operative protection" for understanding the role of immunologically relevant organisms in shaping immune defense profiles, and demonstrate how the evolutionary implications of immune function are best understood in the context of the pressures that diseases and pathogens bring to bear on their hosts. We illustrate common mistakes in characterizing these immune-selective pressures, and provide suggestions for the use of molecular and other methods for measuring immune-relevant organisms.     

Uncertainties about the self and the issue of the proper theoretical model in immunology

Theoretical immunology constitutes a critical basis of all medical discoveries. Immunology has been dominated since the 1940s by the self/nonself model. Here we try to shed light on the origins of this theoretical model and to show how and why this model has been called into question during the last thirty years. This paper has three aims. Firstly, we explore the sources of the immune self, going upstream from immunology to ecology-biology, psychology and eventually philosophy. Here the key questions : is the immune self really analogous with the philosophical and psychological selves in which it originates? What is the signification and adequacy of such a conceptual borrowing? We suggest that the < self > vocabulary in immunology is not clear and precise. Secondly, we present the experimental inadequacies of the self/non-self model. We show then how both the vagueness of the term < self > and these experimental flaws casted doubt on theories of immunology. Among the several models that have been proposed recently, none has attracted a consensus. Some immunologists have even suggested that immunology should rid itself of theorical concerns and concentrate on molecular aspects. This suggestion, however, is unacceptable\; hence it is still necessary to find a theoretical framework for immunology. Finally, we try to suggest a way to escape this uncomfortable situation of doubt. The immune < self > and the immune < system > (< network >) are rooted in strong metaphysical conceptions of identity, the main characteristic of which is to consider the organism as an enclosed and self-constructing entity. By contrast, based on experimental data about immune tolerance and host-pathogen interactions, we propose to consider organisms as open entities. To what theory does this conception lead? What would be the consequences of such a theory with regard to medical aspects?     

The top five "game changers" in vaccinology: toward rational and directed vaccine development

Despite the tremendous success of the classical "isolate, inactivate, and inject" approach to vaccine development, new breakthroughs in vaccine research are increasingly reliant on novel approaches that incorporate cutting edge technology and advances in innate and adaptive immunology, microbiology, virology, pathogen biology, genetics, bioinformatics, and many other disciplines in order to: (1) deepen our understanding of the key biological processes that lead to protective immunity, (2) observe vaccine responses on a global, systems level, and (3) directly apply the new knowledge gained to the development of next-generation vaccines with improved safety profiles, enhanced efficacy, and even targeted utility in select populations. Here we highlight five key components foundational to vaccinomics efforts: applied immunogenomics, next generation sequencing and other cutting-edge "omics" technologies, advanced bioinformatics and analysis techniques, and finally, systems biology applied to immune profiling and vaccine responses. We believe these "game changers" will play a critical role in moving us toward the rational and directed development of new vaccines in the 21st century.     

Imaging of the host/parasite interplay in cutaneous leishmaniasis

An understanding of host-parasite interplay is essential for the development of therapeutics and vaccines. Immunoparasitologists have learned a great deal from ‘conventional’ in vitro and in vivo approaches, but recent developments in imaging technologies have provided us (immunologists and parasitologists) with the ability to ask new and exciting questions about the dynamic nature of the parasite-immune system interface. These studies are providing us with new insights into the mechanisms involved in the initiation of a Leishmania infection and the consequent induction and regulation of the immune response. Here, we review some of the recent developments and discuss how these observations can be further developed to understand the immunology of cutaneous Leishmania infection in vivo.     

Bioinformatics for cancer immunology and immunotherapy

Recent mechanistic insights obtained from preclinical studies and the approval of the first immunotherapies has motivated increasing number of academic investigators and pharmaceutical/biotech companies to further elucidate the role of immunity in tumor pathogenesis and to reconsider the role of immunotherapy. Additionally, technological advances (e.g., next-generation sequencing) are providing unprecedented opportunities to draw a comprehensive picture of the tumor genomics landscape and ultimately enable individualized treatment. However, the increasing complexity of the generated data and the plethora of bioinformatics methods and tools pose considerable challenges to both tumor immunologists and clinical oncologists. In this review, we describe current concepts and future challenges for the management and analysis of data for cancer immunology and immunotherapy. We first highlight publicly available databases with specific focus on cancer immunology including databases for somatic mutations and epitope databases. We then give an overview of the bioinformatics methods for the analysis of next-generation sequencing data (whole-genome and exome sequencing), epitope prediction tools as well as methods for integrative data analysis and network modeling. Mathematical models are powerful tools that can predict and explain important patterns in the genetic and clinical progression of cancer. Therefore, a survey of mathematical models for tumor evolution and tumor–immune cell interaction is included. Finally, we discuss future challenges for individualized immunotherapy and suggest how a combined computational/experimental approaches can lead to new insights into the molecular mechanisms of cancer, improved diagnosis, and prognosis of the disease and pinpoint novel therapeutic targets.     

GeVaDSs - decision support system for novel Genetic Vaccine development process

ABSTRACT: BACKGROUND: The lack of a uniform way for qualitative and quantitative evaluation of vaccine candidates under development led us to set up a standardized scheme for vaccine efficacy and safety evaluation. We developed and implemented molecular and immunology methods, and designed support tools for immunization data storage and analyses. Such collection can create a unique opportunity for immunologists to analyse data delivered from their laboratories. RESULTS: We designed and implemented GeVaDSs (Genetic Vaccine Decision Support system)- an interactive system for efficient storage, integration, retrieval and representation of data. Moreover, GeVaDSs allows for relevant association and interpretation of data, and thus for knowledge-based generation of testable hypotheses of vaccine responses. CONCLUSIONS: GeVaDSs has been tested by several laboratories in Europe, and proved its usefulness in vaccine analysis. Case study of its application is presented in the additional files. The system is available at: http://gevads.cs.put.poznan.pl/preview/ (login: viewer, password: password).     

Design of Monovalent and Chimeric Tetravalent Dengue Vaccine Using an Immunoinformatics Approach

International Journal of Peptide Research and Therapeutics - An immunoinformatics technique was used to predict a monovalent amide immunogen candidate capable of producing therapeutic antibodies as...     

Life is a huge compromise: Is the complexity of the vertebrate immune-neuroendocrine system an advantage or the price to pay?

Recent advances in comparative immunology have established that invertebrates produce hypervariable molecules probably related to immunity, suggesting the possibility of raising a specific immune response. “Priming” and “tailoring” are terms now often associated with the invertebrate innate immunity. Comparative immunologists contributed to eliminate the idea of a static immune system in invertebrates, making necessary to re-consider the evolutive meaning of immunological memory of vertebrates. If the anticipatory immune system represents a maximally efficient immune system, why can it be observed only in vertebrates, especially in consideration that molecular hypervariability exists also in invertebrates? Using well-established theories concerning the evolution of the vertebrate immunity as theoretical basis we analyze from an Eco-immunology-based perspective why a memory-based immune system may have represented an evolutive advantage for jawed vertebrates. We hypothesize that for cold-blooded vertebrates memory represents a complimentary component that flanks the robust and fundamental innate immunity. Conversely, immunological memory has become indispensable and fully exploited in warm-blooded vertebrates, due to their stable inner environment and high metabolic rate, respectively.     

Gap junction-mediated intercellular communication in the immune system

Immune cells are usually considered non-attached blood cells, which would exclude the formation of gap junctions. This is a misconception since many immune cells express connexin 43 (Cx43) and other connexins and are often residing in tissue. The role of gap junctions is largely ignored by immunologists as is the immune system in the field of gap junction research. Here, the current knowledge of the distribution of connexins and the function of gap junctions in the immune system is discussed. Gap junctions appear to play many roles in antibody productions and specific immune responses and may be important in sensing danger in tissue by the immune system. Gap junctions not only transfer electrical and metabolical but also immunological information in the form of peptides for a process called cross-presentation. This is essential for proper immune responses to viruses and possibly tumours. Until now only 40 research papers on gap junctions in the immune system appeared and this will almost certainly expand with the increased mutual interest between the fields of immunology and gap junction research.     

Lessons Learned from Cutting-Edge Immunoinformatics on Next-Generation COVID-19 Vaccine Research

International Journal of Peptide Research and Therapeutics - Presently, immunoinformatics and bioinformatics approaches are contributing actively to COVID-19 vaccine research. The first...     

Integrating T-cell epitope annotations with sequence and structural information using DAS

Immunoinformatics is an emerging new field that benefits from computational analyses and tools that facilitate the understanding of the immune system. A large number of immunoinformatics resources such as immune-related databases and analysis software are available through the World Wide Web for the benefit of the research community. However, immunoinformatics developments have sometimes remained isolated from mainstream bioinformatics. Therefore, there is clearly a need for integration, which will empower the exchange of data and annotations within the scientific community in a quick and efficient fashion. Here, we have chosen the Distributed Annotation System (DAS), for integrating in house annotations on experimental and predicted HLA I-restriction elements of CD8 T-cell epitopes with sequence and structural information.     

Nonself help: how immunology might reframe the Enlightenment

The classical immunological paradigm is predicated on the body's ability to recognize and eliminate “nonself.” However, the “self–nonself” model has yet to facilitate any resolution of the field's major concerns, and may thus prove to be of limited use. Merely discarding it is no solution, as the juxtaposition of “self” and “nonself” persists in research, in clinical settings, and in everyday practice despite the best efforts of theoretical immunologists. Instead, the very conception of “selfhood” may prove to be key. Replacing immunology's prior and persistent “self” with less static concepts derived from non-Western contexts not only resolves immunology's famous paradoxes but also offers a new and more accurate model that allows immunology to reframe what may become an outmoded Enlightenment construct of “self.” In such a new paradigm, immunology's well-known system of protection and defense is replaced with a view in which nonself becomes less the body's enemy than its primary mechanism for the creative assimilation of difference. This incorporative model—in which the “immune system” functions more as a search engine than as an expeller of difference—both resolves outstanding paradoxes, and complies more accurately with contemporary knowledge and research practice.     

T-cell epitope vaccine design by immunoinformatics

Vaccination is generally considered to be the most effective method of preventing infectious diseases. All vaccinations work by presenting a foreign antigen to the immune system in order to evoke an immune response. The active agent of a vaccine may be intact but inactivated (‘attenuated’) forms of the causative pathogens (bacteria or viruses), or purified components of the pathogen that have been found to be highly immunogenic. The increased understanding of antigen recognition at molecular level has resulted in the development of rationally designed peptide vaccines. The concept of peptide vaccines is based on identification and chemical synthesis of B-cell and T-cell epitopes which are immunodominant and can induce specific immune responses. The accelerating growth of bioinformatics techniques and applications along with the substantial amount of experimental data has given rise to a new field, called immunoinformatics. Immunoinformatics is a branch of bioinformatics dealing with in silico analysis and modelling of immunological data and problems. Different sequence- and structure-based immunoinformatics methods are reviewed in the paper.