All Stories

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