Population context determines cell-to-cell variability in endocytosis and virus infection.
about
SLC38A9 is a component of the lysosomal amino acid sensing machinery that controls mTORC1Single-Cell Genomics for VirologyHigh-throughput sequencing for biology and medicineFunctional genomic and high-content screening for target discovery and deconvolutionShedding light on filovirus infection with high-content imagingInterplay between gene expression noise and regulatory network architectureSingle-cell RNA-seq: advances and future challengesNanoparticle induced cell magneto-rotation: monitoring morphology, stress and drug sensitivity of a suspended single cancer cellBistable cell fate specification as a result of stochastic fluctuations and collective spatial cell behaviourDetection of heteroplasmic mitochondrial DNA in single mitochondriaTools for Single-Cell Kinetic Analysis of Virus-Host InteractionsVisualizing quantitative microscopy data: History and challengesAnalysis of the influence of cell heterogeneity on nanoparticle dose responseDissection of the host-pathogen interaction in human tuberculosis using a bioengineered 3-dimensional modelDissection of the influenza A virus endocytic routes reveals macropinocytosis as an alternative entry pathwayA design principle of group-level decision making in cell populationsDecoupling polarization of the Golgi apparatus and GM1 in the plasma membraneAlteration of protein levels during influenza virus H1N1 infection in host cells: a proteomic survey of host and virus reveals differential dynamicsMatrix stiffness affects endocytic uptake of MK2-inhibitor peptidesThe effect of substrate elasticity and actomyosin contractility on different forms of endocytosisCellular superspreaders: an epidemiological perspective on HIV infection inside the bodyMultiparametric Analysis of Cell Shape Demonstrates that β-PIX Directly Couples YAP Activation to Extracellular Matrix AdhesionC9orf72 binds SMCR8, localizes to lysosomes, and regulates mTORC1 signaling.Functional roles for noise in genetic circuitsExploiting Single-Cell Quantitative Data to Map Genetic Variants Having Probabilistic EffectsStochastic profiling of transcriptional regulatory heterogeneities in tissues, tumors and cultured cellsNo significant viral transcription detected in whole breast cancer transcriptomesSimuCell: a flexible framework for creating synthetic microscopy images.Method for physiologic phenotype characterization at the single-cell level in non-interacting and interacting cells.Decision making at a subcellular level determines the outcome of bacteriophage infection.The zipper mechanism in phagocytosis: energetic requirements and variability in phagocytic cup shape.Intensity quantile estimation and mapping--a novel algorithm for the correction of image non-uniformity bias in HCS data.A probabilistic model for cell population phenotyping using HCS dataLive imaging of prions reveals nascent PrPSc in cell-surface, raft-associated amyloid strings and websStochastic holin expression can account for lysis time variation in the bacteriophage λ.Population transcriptomics with single-cell resolution: a new field made possible by microfluidics: a technology for high throughput transcript counting and data-driven definition of cell typesDeciphering dynamics of clathrin-mediated endocytosis in a living organismDiverse activities of viral cis-acting RNA regulatory elements revealed using multicolor, long-term, single-cell imagingRevealing molecular mechanisms by integrating high-dimensional functional screens with protein interaction data.Factor graph analysis of live cell-imaging data reveals mechanisms of cell fate decisions.
P2860
Q24312292-4563951A-9D91-41FF-BD74-5352A92D83B2Q26751486-7B28BD4B-4EB5-4EE3-9D1C-47033194699FQ26823498-341C7D71-FB4F-4CC0-8EBD-860DFAFDF402Q26858957-FF209C04-7834-4043-8DF2-40B8D1533B2FQ26863739-D70A5E68-A1D0-48C0-9455-A8F8B998A9A6Q26991571-134FFB2D-025B-467D-B9F2-65F90157AA39Q27023759-2A158022-C60B-4FD6-A0DF-FCA373002354Q27311385-E1DB6575-C893-4869-A28C-83F0F4E24AC1Q27314910-CD3CD6BA-E3B2-4D8C-9931-1F15ABF6F699Q27315184-DFBE9760-D0DA-48F7-A43B-C6211A1DFB57Q27334856-5753BFF8-CB98-438F-A11D-9624EF5FF09BQ28066243-7AC1D3F1-7B56-419A-AC87-0B1CA92842BBQ28396936-FA2C0772-3E2D-4D6D-A240-01987289035BQ28468572-76E91A28-290E-46F0-8D25-BBBCAD5C9997Q28477584-D9E38183-259F-482C-8B7E-655237CD4771Q28534350-E81DF8D0-94D0-45D6-BBC3-CC3925931124Q28535581-74E3DFC2-A996-4947-A0B2-9BBBEA08BDADQ28537670-FE90E7A8-054C-43CA-AFB8-5FB18B7EF7A0Q28538331-9AF35202-26F9-4BD3-B039-0C2B4A360CE2Q28538366-B27588BA-2B8B-4EF8-931D-06439E0D8690Q28657772-41A1BE16-1F8D-4215-97B6-05B4BECBB163Q28817567-2F946A30-5C3E-40AB-B06C-24DB93D4E892Q29465782-37A59AC9-4453-46C7-9A3D-39B26F550C96Q29616625-2FD355B8-98DC-41F7-A989-1AC6A2146830Q30000053-6171983F-3B24-4CC3-9D5A-E18E23A10770Q30415094-A8188094-01D1-4818-B1A8-B72DF1225C57Q30415825-9F3419BA-9D22-4A51-A865-74F7FCEE4976Q30416205-9AE0F336-4382-4C9B-A5B1-E1DDA3B741B9Q30455617-D2DF172E-547B-415B-82E4-C53F9A9266E0Q30494599-449D0225-225C-452D-AA0A-A77BABC964FDQ30497457-86381844-4D0E-4BD7-BFD4-E3A4CD3F06FEQ30558765-F70CB393-52FF-44A1-9242-71CBFFC49451Q30559611-17CF9546-EC62-436A-B414-15A4B4EBA007Q30570683-32FF9886-2143-4AB2-91E3-24A64D665A4BQ30577378-58B9963A-136F-406C-B6A6-B9087A54C0F3Q30583935-532C11C0-AA08-40CD-8DD4-C753D6348430Q30793332-7E99AC07-D372-4056-B8B1-4D329805711AQ30841153-680B0D07-786E-45C8-9737-00C6CB78F8CDQ30847567-D8464CF4-CA3A-4656-B444-E33A32403965Q30886874-ADD825C9-8B91-4F94-AB99-F25DE238EDF5
P2860
Population context determines cell-to-cell variability in endocytosis and virus infection.
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
2009年學術文章
@zh
2009年學術文章
@zh-hant
name
Population context determines ...... docytosis and virus infection.
@en
Population context determines ...... docytosis and virus infection.
@nl
type
label
Population context determines ...... docytosis and virus infection.
@en
Population context determines ...... docytosis and virus infection.
@nl
prefLabel
Population context determines ...... docytosis and virus infection.
@en
Population context determines ...... docytosis and virus infection.
@nl
P2093
P356
P1433
P1476
Population context determines ...... docytosis and virus infection.
@en
P2093
Eva-Maria Damm
Lucas Pelkmans
Pauli Rämö
Raphael Sacher
P2888
P304
P356
10.1038/NATURE08282
P407
P577
2009-08-26T00:00:00Z
P5875
P6179
1037235493