Quantification of T-cell dynamics: from telomeres to DNA labeling.
about
Mathematics in modern immunologyRates of CTL killing in persistent viral infection in vivoUnderstanding diseases by mouse click: the promise and potential of computational approaches in Systems BiologyA single-cell pedigree analysis of alternative stochastic lymphocyte fates.Determining thymic output quantitatively: using models to interpret experimental T-cell receptor excision circle (TREC) data.Time scales of CD4+ T cell depletion in HIV infection.In vivo dynamical interactions between CD4 Tregs, CD8 Tregs and CD4+ CD25- cells in miceExplicit kinetic heterogeneity: mathematical models for interpretation of deuterium labeling of heterogeneous cell populations.Memory CD4 T cell subsets are kinetically heterogeneous and replenished from naive T cells at high levels.Human NK cells proliferate and die in vivo more rapidly than T cells in healthy young and elderly adultsThe BMP Pathway Participates in Human Naive CD4+ T Cell Activation and Homeostasis.Modelling deuterium labelling of lymphocytes with temporal and/or kinetic heterogeneityEarly HIV RNA decay during raltegravir-containing regimens exhibits two distinct subphases (1a and 1b).Modelling T cell proliferation: Dynamics heterogeneity depending on cell differentiation, age, and genetic backgroundHow many TCR clonotypes does a body maintain?Temporal fate mapping reveals age-linked heterogeneity in naive T lymphocytes in mice.Sparse production but preferential incorporation of recently produced naive T cells in the human peripheral pool.Quantifying T lymphocyte turnover.Toward quantifying the thymic dysfunctional state in mouse models of inflammatory bowel disease.Physiologically Based Simulations of Deuterated Glucose for Quantifying Cell Turnover in Humans.B Cell Development in the Bone Marrow Is Regulated by Homeostatic Feedback Exerted by Mature B Cells.Reversing B cell aging.Phosphorylated 5-ethynyl-2'-deoxyuridine for advanced DNA labeling.Metabolic labeling of DNA by purine analogues in vivo.Measurement of proliferation and disappearance of rapid turnover cell populations in human studies using deuterium-labeled glucose.Modeling the adaptive immune system: predictions and simulations.Mathematical Models of Dividing Cell Populations: Application to CFSE DataThe Transcription Factor Zfx Regulates Peripheral T Cell Self-Renewal and Proliferation
P2860
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P2860
Quantification of T-cell dynamics: from telomeres to DNA labeling.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Quantification of T-cell dynamics: from telomeres to DNA labeling.
@ast
Quantification of T-cell dynamics: from telomeres to DNA labeling.
@en
type
label
Quantification of T-cell dynamics: from telomeres to DNA labeling.
@ast
Quantification of T-cell dynamics: from telomeres to DNA labeling.
@en
prefLabel
Quantification of T-cell dynamics: from telomeres to DNA labeling.
@ast
Quantification of T-cell dynamics: from telomeres to DNA labeling.
@en
P2860
P1476
Quantification of T-cell dynamics: from telomeres to DNA labeling.
@en
P2093
José A M Borghans
Rob J de Boer
P2860
P356
10.1111/J.1600-065X.2007.00497.X
P577
2007-04-01T00:00:00Z