Non-genetic cell-to-cell variability and the consequences for pharmacology
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Analysis of the influence of cell heterogeneity on nanoparticle dose responseNonheritable cellular variability accelerates the evolutionary processes of cancerCharacterizing the relationship between steady state and response using analytical expressions for the steady states of mass action modelsIdentifying and quantifying heterogeneity in high content analysis: application of heterogeneity indices to drug discoveryModeling Contact Inhibition of Locomotion of Colliding Cells Migrating on Micropatterned SubstratesEndothelial cell-by-cell profiling reveals the temporal dynamics of VEGFR1 and VEGFR2 membrane localization after murine hindlimb ischemia.Intersection of FOXO- and RUNX1-mediated gene expression programs in single breast epithelial cells during morphogenesis and tumor progression.Co-detection and sequencing of genes and transcripts from the same single cells facilitated by a microfluidics platform.Gene therapy from the perspective of systems biology.Microfluidic chemical cytometry of peptide degradation in single drug-treated acute myeloid leukemia cells.Dissecting genealogy and cell cycle as sources of cell-to-cell variability in MAPK signaling using high-throughput lineage tracking.Dosage of Dyrk1a shifts cells within a p21-cyclin D1 signaling map to control the decision to enter the cell cycleRapid Assessment and Visualization of Normality in High-Content and Other Cell-Level Data and Its Impact on the Interpretation of Experimental Results.High-throughput single-cell analysis for the proteomic dynamics study of the yeast osmotic stress responseRevitalizing personalized medicine: respecting biomolecular complexities beyond gene expression.Detection of doxorubicin-induced apoptosis of leukemic T-lymphocytes by laser tweezers Raman spectroscopy.Adaptive informatics for multifactorial and high-content biological data.Revisiting thymic positive selection and the mature T cell repertoire for antigen.Dissecting variability in responses to cancer chemotherapy through systems pharmacology.Threshold-free population analysis identifies larger DRG neurons to respond stronger to NGF stimulation.Differences in adhesion and protrusion properties correlate with differences in migration speed under EGF stimulation.Single-cell Western blotting after whole-cell imaging to assess cancer chemotherapeutic response.Basal p21 controls population heterogeneity in cycling and quiescent cell cycle states.Emergence of bimodal cell population responses from the interplay between analog single-cell signaling and protein expression noise.Expression of VEGF receptors on endothelial cells in mouse skeletal muscle.Bimodal gene expression in noncooperative regulatory systemsNonlinear signalling networks and cell-to-cell variability transform external signals into broadly distributed or bimodal responses.Approaches to imaging unfolded secretory protein stress in living cells.An agent-based model of cellular dynamics and circadian variability in human endotoxemia.Single-cell and subcellular pharmacokinetic imaging allows insight into drug action in vivo.Modeling heterogeneous responsiveness of intrinsic apoptosis pathwayMeasuring and modeling apoptosis in single cells.Highly multiplexed profiling of single-cell effector functions reveals deep functional heterogeneity in response to pathogenic ligands.Quantitative study of cellular heterogeneity in doxorubicin uptake and its pharmacological effect on cancer cells.Parallel adaptive feedback enhances reliability of the Ca2+ signaling system.Stochastic developmental variation, an epigenetic source of phenotypic diversity with far-reaching biological consequences.A Nonlinear Mixed Effects Approach for Modeling the Cell-To-Cell Variability of Mig1 Dynamics in YeastAre Quasi-Steady-State Approximated Models Suitable for Quantifying Intrinsic Noise Accurately?A passive-flow microfluidic device for imaging latent HIV activation dynamics in single T cellsCell-to-cell variability in PI3K protein level regulates PI3K-AKT pathway activity in cell populations.
P2860
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P2860
Non-genetic cell-to-cell variability and the consequences for pharmacology
description
2009 nî lūn-bûn
@nan
2009 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Non-genetic cell-to-cell variability and the consequences for pharmacology
@ast
Non-genetic cell-to-cell variability and the consequences for pharmacology
@en
Non-genetic cell-to-cell variability and the consequences for pharmacology
@nl
type
label
Non-genetic cell-to-cell variability and the consequences for pharmacology
@ast
Non-genetic cell-to-cell variability and the consequences for pharmacology
@en
Non-genetic cell-to-cell variability and the consequences for pharmacology
@nl
prefLabel
Non-genetic cell-to-cell variability and the consequences for pharmacology
@ast
Non-genetic cell-to-cell variability and the consequences for pharmacology
@en
Non-genetic cell-to-cell variability and the consequences for pharmacology
@nl
P2093
P2860
P1476
Non-genetic cell-to-cell variability and the consequences for pharmacology
@en
P2093
Mario Niepel
Peter K Sorger
Sabrina L Spencer
P2860
P304
P356
10.1016/J.CBPA.2009.09.015
P577
2009-10-14T00:00:00Z