Measuring single-cell gene expression dynamics in bacteria using fluorescence time-lapse microscopy. - sprookjes - yvandenbroek - TriplyDB

Measuring single-cell gene expression dynamics in bacteria using fluorescence time-lapse microscopy.

Measuring single-cell gene expression dynamics in bacteria using fluorescence time-lapse microscopy.

http://www.wikidata.org/entity/Q34166016

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Super-resolution imaging of bacteria in a microfluidics device Generation and filtering of gene expression noise by the bacterial cell cycle.Genetic Manipulation of Glycogen Allocation Affects Replicative Lifespan in E. coli Quorum Sensing Desynchronization Leads to Bimodality and Patterned Behaviors Polar Fixation of Plasmids during Recombinant Protein Production in Bacillus megaterium Results in Population Heterogeneity Fitness Trade-Offs in Competence Differentiation of Bacillus subtilis.Stochastic Assembly of Bacteria in Microwell Arrays Reveals the Importance of Confinement in Community Development Robust Individual-Cell/Object Tracking via PCANet Deep Network in Biomedicine and Computer Vision.Review of methods to probe single cell metabolism and bioenergetics.Rate of environmental change determines stress response specificity.Dissecting genealogy and cell cycle as sources of cell-to-cell variability in MAPK signaling using high-throughput lineage tracking.Live-cell imaging tool optimization to study gene expression levels and dynamics in single cells of Bacillus cereus.You are what you talk: quorum sensing induces individual morphologies and cell division modes in Dinoroseobacter shibae Phosphorylated DegU manipulates cell fate differentiation in the Bacillus subtilis biofilm BactImAS: a platform for processing and analysis of bacterial time-lapse microscopy movies.Programmable, Pneumatically Actuated Microfluidic Device with an Integrated Nanochannel Array To Track Development of Individual Bacteria.Reliable measurement of E. coli single cell fluorescence distribution using a standard microscope set-up.Microfluidic device enabled quantitative time-lapse microscopic-photography for phenotyping vegetative and reproductive phases in Fusarium virguliforme, which is pathogenic to soybean.Image analysis driven single-cell analytics for systems microbiology.Measuring mRNA copy number in individual Escherichia coli cells using single-molecule fluorescent in situ hybridization.Optimized delivery of fluorescently labeled proteins in live bacteria using electroporation Light-responsive control of bacterial gene expression: precise triggering of the lac promoter activity using photocaged IPTG.TLM-Quant: an open-source pipeline for visualization and quantification of gene expression heterogeneity in growing microbial cells.FogBank: a single cell segmentation across multiple cell lines and image modalities Alpha-lipoic acid-loaded nanostructured lipid carrier: sustained release and biocompatibility to HaCaT cells in vitro.High variation of fluorescence protein maturation times in closely related Escherichia coli strains.Cell segmentation by multi-resolution analysis and maximum likelihood estimation (MAMLE)New tools for comparing microscopy images: quantitative analysis of cell types in Bacillus subtilis.Revisiting bistability in the lysis/lysogeny circuit of bacteriophage lambda.Monitoring F1651 P-like fimbria expression at the single-cell level reveals a highly heterogeneous phenotype.Phenotypic heterogeneity in metabolic traits among single cells of a rare bacterial species in its natural environment quantified with a combination of flow cell sorting and NanoSIMS.Inferring epigenetic dynamics from kin correlations.Vizardous: interactive analysis of microbial populations with single cell resolution.Direct metabolomics for plant cells by live single-cell mass spectrometry.Dynamical Allocation of Cellular Resources as an Optimal Control Problem: Novel Insights into Microbial Growth Strategies.Fluorescence Time-lapse Imaging of the Complete S. venezuelae Life Cycle Using a Microfluidic Device CellShape: A user-friendly image analysis tool for quantitative visualization of bacterial cell factories inside.Image-Based Single Cell Profiling: High-Throughput Processing of Mother Machine Experiments.Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments.Strain Library Imaging Protocol for high-throughput, automated single-cell microscopy of large bacterial collections arrayed on multiwell plates.

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Measuring single-cell gene expression dynamics in bacteria using fluorescence time-lapse microscopy.

http://www.wikidata.org/entity/Q34166016

description

2011 nî lūn-bûn

@nan

2011 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2011 թվականի դեկտեմբերին հրատարակված գիտական հոդված

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2011年の論文

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2011年論文

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2011年論文

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2011年論文

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2011年論文

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2011年論文

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2011年论文

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name

Measuring single-cell gene exp ...... escence time-lapse microscopy.

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Measuring single-cell gene exp ...... escence time-lapse microscopy.

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Measuring single-cell gene exp ...... escence time-lapse microscopy.

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type

label

Measuring single-cell gene exp ...... escence time-lapse microscopy.

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Measuring single-cell gene exp ...... escence time-lapse microscopy.

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Measuring single-cell gene exp ...... escence time-lapse microscopy.

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prefLabel

Measuring single-cell gene exp ...... escence time-lapse microscopy.

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Measuring single-cell gene exp ...... escence time-lapse microscopy.

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Measuring single-cell gene exp ...... escence time-lapse microscopy.

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Nature Protocols

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Measuring single-cell gene exp ...... rescence time-lapse microscopy

@en

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Alphan Altinok

http://www.w3.org/2001/XMLSchema#string

Eric Mjolsness

http://www.w3.org/2001/XMLSchema#string

Jonathan W Young

http://www.w3.org/2001/XMLSchema#string

Michael B Elowitz

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Nitzan Rosenfeld

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Tigran Bacarian

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P2860

Aging and death in an organism that reproduces by morphologically symmetric division

Robust growth of Escherichia coli.

Positive feedback of G1 cyclins ensures coherent cell cycle entry

A simple screen to identify promoters conferring high levels of phenotypic noise

Reducing the environmental sensitivity of yellow fluorescent protein. Mechanism and applications

Improved monomeric red, orange and yellow fluorescent proteins derived from Discosoma sp. red fluorescent protein

Green fluorescent protein as a marker for gene expression

Stochastic gene expression in a single cell

Extraction, purification and properties of aequorin, a bioluminescent protein from the luminous hydromedusan, Aequorea

A guide to choosing fluorescent proteins

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80-88

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scholarly article

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10.1038/NPROT.2011.432

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1

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7

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James C.W. Locke

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2011-12-15T00:00:00Z

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51898161

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1005185847

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22179594

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4161363

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