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  1. BCG vaccination reduces the rate of Mycobacterium tuberculosis dissemination between murine lungs
  2. Apparent cooperativity between human CMV virions introduces errors in conventional methods of calculating multiplicity of infection
  3. Apparent cooperativity between human CMV virions introduces errors in conventional methods of calculating multiplicity of infection
  4. Liver sinusoid constraints make random search of CD8 T cells for Plasmodium parasites efficient
  5. Immortal genome assumption significantly underestimates replication and death rates of Mycobacterium tuberculosis in mice and monkeys
  6. Using Imaris to rigorously track PET-defined sites of lung inflammation in Mycobacterium tuberculosis-exposed non-human primates
  7. Apparent cooperativity between human CMV virions introduces errors in conventional methods of calculating multiplicity of infection
  8. Mathematical modeling suggests heterogeneous replication of Mycobacterium tuberculosis in rabbits
  9. Appropriate Sampling and Longer Follow-Up Are Required to Rigorously Evaluate Longevity of Humoral Memory After Vaccination
  10. Mathematical modeling suggests heterogeneous replication ofMycobacterium tuberculosisin rabbits
  11. Heterogeneity in killing efficacy of individual effector CD8 + T cells against Plasmodium liver stages
  12. Brain-localized CD4 and CD8 T cells perform correlated random walks and not Levy walks
  13. Appropriate sampling and long follow-up are required to rigorously evaluate longevity of humoral memory after vaccination
  14. Cytotoxic T Lymphocytes Control Growth of B16 Tumor Cells in Collagen–Fibrin Gels by Cytolytic and Non-Lytic Mechanisms
  15. Prioritization of the concepts and skills in quantitative education for graduate students in biomedical science
  16. Mathematical modeling suggests cytotoxic T lymphocytes control growth of B16 tumor cells in collagin-fibrin gels by cytolytic and non-lytic mechanisms
  17. Brain-localized CD4 and CD8 T cells perform correlated random walks and not Levy walks
  18. Brain-localized CD4 and CD8 T cells perform correlated random walks and not Levy walks
  19. Correlation between speed and turning naturally arises for sparsely sampled cell movements
  20. Mathematical Modeling to Guide Experimental Design: T Cell Clustering as a Case Study
  21. Interactions with Asialo-Glycoprotein Receptors and Platelets Are Dispensable for CD8+ T Cell Localization in the Murine Liver
  22. Mathematical modeling suggests that a single Plasmodium-specific CD8 T cell can eliminate a malaria liver stage in mice
  23. Evaluating impact of experimental design on accuracy of parameter estimation and model selection efficiency: T cell clustering as a case study
  24. Mathematical Modeling Suggests Cooperation of Plant-Infecting Viruses
  25. Liver Environment–Imposed Constraints Diversify Movement Strategies of Liver-Localized CD8 T Cells
  26. Mathematical modeling suggests cooperation of plant-infecting viruses
  27. Enhancing Quantitative and Data Science Education for Graduate Students in Biomedical Science
  28. Platelets are dispensable for the ability of CD8+ T cells to accumulate, patrol, kill and reside in the liver
  29. Negative correlation between average speed and average turning angle naturally arises for sparsely sampled cell movement data
  30. A minority of liver-localized CD8 T cells demonstrate difficult-to-detect attraction to Plasmodium-infected hepatocytes
  31. Impact of oseltamivir treatment on influenza A and B dynamics in human volunteers
  32. Environment-imposed constraints make Brownian walkers efficient searchers
  33. Experimental determination of the force of malaria infection reveals a non-linear relationship to mosquito sporozoite loads
  34. Experimental Determination of the Force of Malaria Infection Reveals a Non-Linear Relationship to Mosquito Sporozoite Loads
  35. Erratum for Hoft et al., “The Rate of CD4 T Cell Entry into the Lungs during Mycobacterium tuberculosis Infection Is Determined by Partial and Opposing Effects of Multiple Chemokine Receptors”
  36. Defining Kinetic Properties of HIV-Specific CD8+ T-Cell Responses in Acute Infection
  37. Mathematical modeling suggests that benefits of short or long antibiotic treatment depend on details of infection
  38. Defining Kinetic Properties of HIV-Specific CD8+ T-cell Responses in Acute Infection
  39. Estimating residence times of lymphocytes in ovine lymph nodes: Supplemental Information
  40. Clustering of activated CD8 T cells around malaria-infected hepatocytes is rapid and is driven by antigen-specific T cells
  41. Cutting Edge: IL-1R1 Mediates Host Resistance toMycobacterium tuberculosisbyTrans-Protection of Infected Cells
  42. Time Intervals in Sequence Sampling, Not Data Modifications, Have a Major Impact on Estimates of HIV Escape Rates
  43. Using mathematical modeling to define kinetic properties of HIV-specific CD8 + T-cell responses
  44. Immunologic and Virologic Mechanisms for Partial Protection from Intravenous Challenge by an Integration-Defective SIV Vaccine
  45. Strong Inference in Mathematical Modeling: A Method for Robust Science in the Twenty-First Century
  46. Quantifying Limits on Replication, Death, and Quiescence of Mycobacterium tuberculosis in Mice
  47. CD4 T Cell-Derived IFN-γ Plays a Minimal Role in Control of Pulmonary Mycobacterium tuberculosis Infection and Must Be Actively Repressed by PD-1 to Prevent Lethal Disease
  48. Broad CTL Response in Early HIV Infection Drives Multiple Concurrent CTL Escapes
  49. Evaluating contribution of the cellular and humoral immune responses to the control of shedding of Mycobacterium avium spp. paratuberculosis in cattle
  50. Simple Mathematical Models Do Not Accurately Predict Early SIV Dynamics
  51. Mathematical modeling provides kinetic details of the human immune response to vaccination
  52. Plasmodium Suppresses Expansion of T Cell Responses to Heterologous Infections
  53. Mathematical Modeling Reveals Kinetics of Lymphocyte Recirculation in the Whole Organism
  54. Competition for Antigen between Th1 and Th2 Responses Determines the Timing of the Immune Response Switch during Mycobaterium avium Subspecies paratuberulosis Infection in Ruminants
  55. Classification of T cell movement tracks allows for prediction of cell function
  56. In vivo imaging of CD8+T cell-mediated elimination of malaria liver stages
  57. A mechanistic model for bromodeoxyuridine dilution naturally explains labelling data of self-renewing T cell populations
  58. Mathematical modeling of escape of HIV from cytotoxic T lymphocyte responses
  59. Cellular and population plasticity of helper CD4+ T cell responses
  60. Vertical T cell immunodominance and epitope entropy determine HIV-1 escape
  61. A mechanistic model for bromodeoxyuridine dilution naturally explains labelling data of self-renewing T cell populations
  62. Evolution of viral life-cycle in response to cytotoxic T lymphocyte-mediated immunity
  63. Mtb-Specific CD27low CD4 T Cells as Markers of Lung Tissue Destruction during Pulmonary Tuberculosis in Humans
  64. Early Low-Titer Neutralizing Antibodies Impede HIV-1 Replication and Select for Virus Escape
  65. Distinct Kinetics of Gag-Specific CD4+ and CD8+ T Cell Responses during Acute HIV-1 Infection
  66. Fitness Costs and Diversity of the Cytotoxic T Lymphocyte (CTL) Response Determine the Rate of CTL Escape during Acute and Chronic Phases of HIV Infection
  67. Killing of Targets by CD8+ T Cells in the Mouse Spleen Follows the Law of Mass Action
  68. Stochastic Models of Lymphocyte Proliferation and Death
  69. Persistence of viral infection despite similar killing efficacy of antiviral CD8+ T cells during acute and chronic phases of infection
  70. Transmission of Single HIV-1 Genomes and Dynamics of Early Immune Escape Revealed by Ultra-Deep Sequencing
  71. In Mice, Tuberculosis Progression Is Associated with Intensive Inflammatory Response and the Accumulation of Gr-1dim Cells in the Lungs
  72. Explicit Kinetic Heterogeneity: Mathematical Models for Interpretation of Deuterium Labeling of Heterogeneous Cell Populations
  73. The first T cell response to transmitted/founder virus contributes to the control of acute viremia in HIV-1 infection
  74. Lymphocyte kinetics in health and disease
  75. Estimating In Vivo Death Rates of Targets due to CD8 T-Cell-Mediated Killing
  76. Do most lymphocytes in humans really reside in the gut?
  77. Discriminating between Different Pathways of Memory CD8+ T Cell Differentiation
  78. Dynamics of CD8+ T Cell Responses during Acute and Chronic Lymphocytic Choriomeningitis Virus Infection
  79. IL-2 Regulates Expansion of CD4+ T Cell Populations by Affecting Cell Death: Insights from Modeling CFSE Data
  80. Estimating Lymphocyte Division and Death Rates from CFSE Data
  81. IMPERFECT VACCINES AND THE EVOLUTION OF PATHOGENS CAUSING ACUTE INFECTIONS IN VERTEBRATES
  82. Estimating Costs and Benefits of CTL Escape Mutations in SIV/HIV Infection
  83. How Does Cross-Reactive Stimulation Affect the Longevity of CD8+ T Cell Memory?
  84. Pathology during acute infections: contributions of intracellular pathogens and the CTL response
  85. Quantifying cell turnover using CFSE data
  86. The role of models in understanding CD8+ T-cell memory
  87. The rescaling method for quantifying the turnover of cell populations
  88. Trade-offs and the evolution of virulence of microparasites: do details matter?
  89. The role of the cytotoxic T-lymphocyte response and virus cytopathogenicity in the virus decline during antiviral therapy
  90. Evolution of virulence: adaptive or not?
  91. Estimating the Instability Parameters of Plasmid-Bearing Cells. I. Chemostat Culture
  92. WITHIN-HOST POPULATION DYNAMICS AND THE EVOLUTION OF MICROPARASITES IN A HETEROGENEOUS HOST POPULATION
  93. Computer modeling of the biotic cycle formation in a closed ecological system
  94. Modelling of genetically engineered microorganisms introduction in closed artificial microcosms