Immunological Paradigms, Mechanisms, and Models: Conceptual Understanding Is a Prerequisite to Effective Modeling
暂无分享,去创建一个
[1] Z. Grossman,et al. From HIV infection to AIDS: are the manifestations of effective immune resistance misinterpreted? , 1993, Clinical immunology and immunopathology.
[2] Q. Nie,et al. Cell Lineages and the Logic of Proliferative Control , 2009, PLoS biology.
[3] Nathan Intrator,et al. Objective function formulation of the BCM theory of visual cortical plasticity: Statistical connections, stability conditions , 1992, Neural Networks.
[4] M. Davenport,et al. The race between infection and immunity: how do pathogens set the pace? , 2009, Trends in immunology.
[5] N Oreskes,et al. Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences , 1994, Science.
[6] Z. Grossman,et al. Adaptive cellular interactions in the immune system: the tunable activation threshold and the significance of subthreshold responses. , 1992, Proceedings of the National Academy of Sciences of the United States of America.
[7] S. Shen-Orr,et al. Network motifs: simple building blocks of complex networks. , 2002, Science.
[8] Guido Silvestri,et al. Turnover of lymphocytes and conceptual paradigms in HIV infection. , 2003, The Journal of clinical investigation.
[9] M. Cohn. Conversations with Niels Kaj Jerne on immune regulation: associative versus network recognition. , 1981, Cellular immunology.
[10] Philippe Kourilsky,et al. The natural defense system and the normative self model , 2016, F1000Research.
[11] S. Heath,et al. Systems analysis reveals complex biological processes during virus infection fate decisions , 2019, Genome research.
[12] Roy M. Anderson,et al. Underwhelming the Immune Response: Effect of Slow Virus Growth on CD8+-T-Lymphocyte Responses , 2004, Journal of Virology.
[13] I. Cohen,et al. Discrimination and dialogue in the immune system. , 2000, Seminars in immunology.
[14] M Cohn,et al. The 'complete' idiotype network is an absurd immune system. , 1986, Immunology today.
[15] J. Petravic,et al. Simulating the entire natural course of HIV infection by extending the basic viral dynamics equations to include declining viral clearance. , 2019, Pathogens and disease.
[16] M. Antunes,et al. Temporal anomaly detection: an artificial immune approach based on T cell activation, clonal size regulation and homeostasis. , 2010, Advances in experimental medicine and biology.
[17] Cheng Zhu,et al. The kinetics of two dimensional TCR and pMHC interactions determine T cell responsiveness , 2010, Nature.
[18] É. Oksenhendler,et al. HIV and T cell expansion in splenic white pulps is accompanied by infiltration of HIV-specific cytotoxic T lymphocytes , 1994, Cell.
[19] É. Vivier,et al. The discontinuity theory of immunity , 2016, Science Immunology.
[20] N. K. Jerne,et al. Idiotypic Networks and Other Preconceived Ideas , 1984, Immunological reviews.
[21] E. Bienenstock,et al. Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex , 1982, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[22] Peter Hunt,et al. Immune activation set point during early HIV infection predicts subsequent CD4+ T-cell changes independent of viral load. , 2004, Blood.
[23] P. Brodin,et al. NK cell education: not an on-off switch but a tunable rheostat. , 2009, Trends in immunology.
[24] A. Weiss,et al. Adaptation by naïve CD4+ T cells to self-antigen–dependent TCR signaling induces functional heterogeneity and tolerance , 2019, Proceedings of the National Academy of Sciences.
[25] M. Nowak,et al. Population Dynamics of Immune Responses to Persistent Viruses , 1996, Science.
[26] Sol Efroni,et al. The Immune System Computes the State of the Body: Crowd Wisdom, Machine Learning, and Immune Cell Reference Repertoires Help Manage Inflammation , 2019, Front. Immunol..
[27] R Blumenthal,et al. Quantitation of human immunodeficiency virus type 1 infection kinetics , 1993, Journal of virology.
[28] Raluca Eftimie,et al. Mathematical Models for Immunology: Current State of the Art and Future Research Directions , 2016, Bulletin of mathematical biology.
[29] C. Janeway,et al. The immune system evolved to discriminate infectious nonself from noninfectious self. , 1992, Immunology today.
[30] Z. Grossman. Recognition of self, balance of growth and competition: Horizontal networks regulate immune responsiveness , 1982, European journal of immunology.
[31] Z. Grossman,et al. CD4+ T-cell depletion in HIV infection: Are we closer to understanding the cause? , 2002, Nature Medicine.
[32] R. Germain,et al. Computational analysis of T cell receptor signaling and ligand discrimination – Past, present, and future , 2010, FEBS letters.
[33] Martin Meier-Schellersheim,et al. Feedback regulation of proliferation vs. differentiation rates explains the dependence of CD4 T-cell expansion on precursor number , 2011, Proceedings of the National Academy of Sciences.
[34] M. Cohn. Core principles characterizing immune function , 2017, European journal of immunology.
[35] Z. Grossman,et al. CONTEXTUAL DISCRIMINATION OF ANTIGENS BY THE IMMUNE SYSTEM: TOWARDS A UNIFYING HYPOTHESIS , 1992 .
[36] Z. Grossman,et al. Hypothesis on cell learning outside the brain , 1991, Journal of Neuroimmunology.
[37] Z. Grossman,et al. Self-tolerance: context dependent tuning of T cell antigen recognition. , 2000, Seminars in immunology.
[38] Dejan Milutinovic,et al. Immunological self-tolerance: lessons from mathematical modeling , 2005 .
[39] Z. Grossman. The stem cell concept revisited: self-renewal capacity is a dynamic property of hemopoietic cells. , 1986, Leukemia research.
[40] F. Varela,et al. Autoimmunity: the Moving Boundaries Between Physiology and Pathology , 1989 .
[41] S. Bonhoeffer,et al. HIV-1 Evolution and Disease Progression , 1996, Science.
[42] Christopher T. H. Baker,et al. Rival approaches to mathematical modelling in immunology , 2007 .
[43] Z. Grossman,et al. T-cell homeostasis in HIV infection is neither failing nor blind: Modified cell counts reflect an adaptive response of the host , 1997, Nature Medicine.
[44] Thomas Pradeu,et al. The danger theory: 20 years later , 2012, Front. Immun..
[45] K. Blyuss,et al. Time-delayed model of autoimmune dynamics. , 2019, Mathematical biosciences and engineering : MBE.
[46] Russell W. Anderson,et al. Direct HIV cytopathicity cannot account for CD4 decline in AIDS in the presence of homeostasis: a worst-case dynamic analysis. , 1998, Journal of acquired immune deficiency syndromes and human retrovirology : official publication of the International Retrovirology Association.
[47] A primer of avian macroecology , 2001 .
[48] D. Dimitrov,et al. Cell-to-cell spread of HIV-1 occurs within minutes and may not involve the participation of virus particles. , 1992, Virology.
[49] Z. Grossman,et al. Neural modulation of immunity: conditioning phenomena and the adaptability of lymphoid cells. , 1992, The International journal of neuroscience.
[50] R. Ribeiro,et al. Modeling the immune response to HIV infection. , 2018, Current opinion in systems biology.
[51] R. Bosselut,et al. Faculty Opinions recommendation of Intrinsic CD4+ T cell sensitivity and response to a pathogen are set and sustained by avidity for thymic and peripheral complexes of self peptide and MHC. , 2014 .
[52] S. Shen-Orr,et al. Networks Network Motifs : Simple Building Blocks of Complex , 2002 .
[53] P. Kim,et al. T cell state transition produces an emergent change detector. , 2011, Journal of theoretical biology.
[54] Z. Grossman,et al. Recognition of Self and Regulation of Specificity at the Level of Cell Populations , 1984, Immunological reviews.
[55] I. Cohen,et al. The cognitive principle challenges clonal selection. , 1992, Immunology today.
[56] Eduardo D. Sontag,et al. Immunobiochemical Reconstruction of Influenza Lung Infection—Melanoma Skin Cancer Interactions , 2019, Front. Immunol..
[57] Eduardo Sontag. A Dynamic Model of Immune Responses to Antigen Presentation Predicts Different Regions of Tumor or Pathogen Elimination. , 2017, Cell systems.
[58] É. Vivier,et al. The speed of change: towards a discontinuity theory of immunity? , 2013, Nature Reviews Immunology.
[59] Jeremy Gunawardena,et al. Models in biology: ‘accurate descriptions of our pathetic thinking’ , 2014, BMC Biology.
[60] Ronald B. Herberman,et al. T Cell Turnover in SIV Infection , 1999 .
[61] Martin Meier-Schellersheim,et al. Concomitant regulation of T-cell activation and homeostasis , 2004, Nature Reviews Immunology.
[62] C. DeLisi,et al. The dynamics of antibody secreting cell production: regulation of growth and oscillations in the response to T-independent antigens. , 1980, Journal of theoretical biology.
[63] Z. Grossman. Hypothesis on the existence of self-supervised immune surveillance , 1991, Journal of Neuroimmunology.
[64] Z. Grossman,et al. What did mathematical models contribute to AIDS research , 2001 .
[65] S. Heath,et al. Linking Cell Dynamics With Gene Coexpression Networks to Characterize Key Events in Chronic Virus Infections , 2019, Front. Immunol..
[66] I. Cohen,et al. Autoimmunity, microbial immunity and the immunological homunculus. , 1991, Immunology today.
[67] Frederik Graw,et al. Modeling Viral Spread. , 2016, Annual review of virology.
[68] M. Schwartz,et al. Innate and adaptive immune responses can be beneficial for CNS repair , 1999, Trends in Neurosciences.
[69] T. McKeithan,et al. Kinetic proofreading in T-cell receptor signal transduction. , 1995, Proceedings of the National Academy of Sciences of the United States of America.
[70] F. Miedema,et al. T cell dynamics in HIV-1 infection. , 1999, Advances in immunology.
[71] N K Jerne,et al. Towards a network theory of the immune system. , 1973, Annales d'immunologie.
[72] J. Cuesta,et al. The growth threshold conjecture: a theoretical framework for understanding T-cell tolerance , 2015, Royal Society Open Science.
[73] Z. Grossman,et al. 'Immune surveillance' without immunogenicity. , 1986, Immunology today.
[74] Z. Grossman,et al. Multiple modes of cellular activation and virus transmission in HIV infection: a role for chronically and latently infected cells in sustaining viral replication. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[75] W. E. Paul. The Immune System – Complexity Exemplified , 2012 .
[76] C. Goodnow. Balancing immunity and tolerance: deleting and tuning lymphocyte repertoires. , 1996, Proceedings of the National Academy of Sciences of the United States of America.
[77] Guido Silvestri,et al. Understanding the benign nature of SIV infection in natural hosts. , 2007, The Journal of clinical investigation.
[78] F. Burnet. A modification of jerne's theory of antibody production using the concept of clonal selection , 1976, CA: a cancer journal for clinicians.
[79] Z. Grossman,et al. Autoreactivity, dynamic tuning and selectivity. , 2001, Current opinion in immunology.
[80] Z. Grossman,et al. Tumor escape from immune elimination. , 1980, Journal of theoretical biology.
[81] Alfred I Tauber,et al. Reconceiving autoimmunity: An overview. , 2015, Journal of theoretical biology.
[82] Philip D. Hodgkin,et al. Activation rules: the two-signal theories of immune activation , 2002, Nature Reviews Immunology.
[83] Y. Sadovsky,et al. The biology of extracellular vesicles: The known unknowns , 2019, PLoS biology.
[84] P. Matzinger. Tolerance, danger, and the extended family. , 1994, Annual review of immunology.
[85] Z. Grossman. THE QUEST FOR PATTERNS IN HIGH-DIMENSIONAL BIOMEDICAL DATA-SETS: LINKING STATISTICAL INFERENCE TO DYNAMICAL SYSTEMS , 2007 .
[86] Sofia Johansson,et al. The strength of inhibitory input during education quantitatively tunes the functional responsiveness of individual natural killer cells. , 2009, Blood.
[87] J. Sprent,et al. Homeostasis of naive and memory T cells. , 2008, Immunity.
[88] Jerne Nk. Towards a network theory of the immune system. , 1974 .
[89] Martin Meier-Schellersheim,et al. Pathogenesis of HIV infection: what the virus spares is as important as what it destroys , 2006, Nature Medicine.
[90] V. Maino,et al. Insufficient Production and Tissue Delivery of CD4+Memory T Cells in Rapidly Progressive Simian Immunodeficiency Virus Infection , 2004, The Journal of experimental medicine.
[91] M. Ascher,et al. AIDS as immune system activation. II. The panergic imnesia hypothesis. , 1990, Journal of acquired immune deficiency syndromes.
[92] O. Schwartz,et al. Inefficient Human Immunodeficiency Virus Replication in Mobile Lymphocytes , 2006, Journal of Virology.
[93] Jessica M Conway,et al. Post-treatment control of HIV infection , 2015, Proceedings of the National Academy of Sciences.
[94] R M Zinkernagel,et al. Localization dose and time of antigens determine immune reactivity. , 2000, Seminars in immunology.
[95] Jaap Goudsmit,et al. Ongoing HIV dissemination during HAART , 1999, Nature Medicine.
[96] Alan S. Perelson,et al. Increased Turnover of T Lymphocytes in HIV-1 Infection and Its Reduction by Antiretroviral Therapy , 2001, The Journal of experimental medicine.
[97] Richard Bellman,et al. Adaptive Control Processes: A Guided Tour , 1961, The Mathematical Gazette.
[98] R Hoh,et al. Factors influencing T-cell turnover in HIV-1-seropositive patients. , 2000, The Journal of clinical investigation.
[99] Z. Grossman,et al. The Journal of Experimental Medicine , 2000 .
[100] P. Allen,et al. Tuning T Cell Signaling Sensitivity Alters the Behavior of CD4+ T Cells during an Immune Response , 2018, The Journal of Immunology.
[101] Simon Wain-Hobson. Virus Dynamics: Mathematical Principles of Immunology and Virology , 2001, Nature Medicine.
[102] Alan S. Perelson,et al. In vivo dynamics of T cell activation, proliferation, and death in HIV-1 infection: Why are CD4+ but not CD8+ T cells depleted? , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[103] Martin A Nowak,et al. Mathematical models of HIV pathogenesis and treatment. , 2002, BioEssays : news and reviews in molecular, cellular and developmental biology.
[104] L. Old,et al. ANTIGENIC PROPERTIES OF CHEMICALLY INDUCED TUMORS * , 1962 .
[105] Martin A. Nowak,et al. Viral dynamics in human immunodeficiency virus type 1 infection , 1995, Nature.
[106] A. Perelson,et al. HIV-1 Dynamics in Vivo: Virion Clearance Rate, Infected Cell Life-Span, and Viral Generation Time , 1996, Science.
[107] H. Blau,et al. The Evolving Concept of a Stem Cell Entity or Function? , 2001, Cell.
[108] Mark F. Bear,et al. The BCM theory of synapse modification at 30: interaction of theory with experiment , 2012, Nature Reviews Neuroscience.
[109] Z. Grossman,et al. The Concept of Idiotypic Network: Deficient or Premature? , 1989 .
[110] Volker Rasche,et al. Cell competition is a tumour suppressor mechanism in the thymus , 2014, Nature.
[111] I. Cohen,et al. Autoimmunity can benefit self-maintenance. , 2000, Immunology today.
[112] Z. Grossman,et al. Parasite immunology and lymphocyte population dynamics. , 1986, Journal of theoretical biology.
[113] Z. Grossman,et al. Pathogenic mechanisms in simian immunodeficiency virus infection , 2008, Current opinion in HIV and AIDS.
[114] J. Knott. The organization of behavior: A neuropsychological theory , 1951 .
[115] S. Jameson,et al. The self-obsession of T cells: how TCR signaling thresholds affect fate 'decisions' and effector function , 2014, Nature Immunology.
[116] E. Golub. Immune tolerance and autoreactivity: Do they point to a regulatory role of the immune system for normal cell function? , 1981, Cell.
[117] A S Perelson,et al. Rapid turnover of T lymphocytes in SIV-infected rhesus macaques. , 1998, Science.
[118] Rajat Varma,et al. Actin and agonist MHC–peptide complex–dependent T cell receptor microclusters as scaffolds for signaling , 2005, The Journal of experimental medicine.
[119] B. Rocha,et al. Thymocytes self‐renewal: a major hope or a major threat? , 2016, Immunological Reviews.
[120] J. Krueger,et al. Modulation of human leukocyte antigenDR expression in glioblastoma cells by interferon gamma and other cytokines , 1991, Journal of Neuroimmunology.
[121] Z. Grossman,et al. HIV infection rapidly induces and maintains a substantial suppression of thymocyte proliferation. , 2004, Immunity.
[122] Z. Grossman. Balance of Growth Models of Cell Populations: The Significance of Simple Mathematical Considerations , 1985 .
[123] Arthur D Lander,et al. The 'stem cell' concept: is it holding us back? , 2009, Journal of biology.
[124] R. Locksley,et al. Why Innate Lymphoid Cells? , 2018, Immunity.
[125] M A Nowak,et al. Antigenic diversity thresholds and the development of AIDS. , 1991, Science.
[126] Z. Grossman,et al. Dynamic tuning of lymphocytes: physiological basis, mechanisms, and function. , 2015, Annual review of immunology.
[127] C. Janeway. Approaching the asymptote? Evolution and revolution in immunology. , 1989, Cold Spring Harbor symposia on quantitative biology.
[128] A. Perelson,et al. Rapid turnover of plasma virions and CD4 lymphocytes in HIV-1 infection , 1995, Nature.
[129] Z. Grossman,et al. Tuning of activation thresholds explains flexibility in the selection and development of T cells in the thymus. , 1996, Proceedings of the National Academy of Sciences of the United States of America.
[130] Bernhard Hemmer,et al. TCR ligand discrimination is enforced by competing ERK positive and SHP-1 negative feedback pathways , 2003, Nature Immunology.
[131] Z. Grossman,et al. Cellular Tolerance as a Dynamic State of the Adaptable Lymphocyte , 1993, Immunological reviews.
[132] J V Giorgi,et al. Shorter survival in advanced human immunodeficiency virus type 1 infection is more closely associated with T lymphocyte activation than with plasma virus burden or virus chemokine coreceptor usage. , 1999, The Journal of infectious diseases.
[133] Stephen C. Jameson,et al. Maintaining the norm: T-cell homeostasis , 2002, Nature Reviews Immunology.
[134] E. Sercarz,et al. THE ABSENCE OF ANTIBODY-PRODUCING CELLS DURING UNRESPONSIVENESS TO BSA IN THE MOUSE. , 1963, Journal of immunology.
[135] M. Lappé. Possible significance of immune recognition of preneoplastic and neoplastic cell surfaces. , 1972, National Cancer Institute monograph.
[136] Paul S. Andrews,et al. Tunable Detectors for Artificial Immune Systems: From Model to Algorithm , 2009 .