All Stories

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