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Ordering Genes in a Flagella Pathway by Analysis of Expression Kinetics from Living Bacteria

The recent advances in large-scale monitoring of gene expression raise the challenge of mapping systems on the basis of kinetic expression data in living cells. To address this, we measured promoter activity in the flagellar system of Escherichia coli at high accuracy and temporal resolution by mean...

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Published in:Science (American Association for the Advancement of Science) 2001-06, Vol.292 (5524), p.2080-2083
Main Authors: Kalir, S., McClure, J., Pabbaraju, K., Southward, C., Ronen, M., Leibler, S., Surette, M. G., Alon, U.
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container_title Science (American Association for the Advancement of Science)
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description The recent advances in large-scale monitoring of gene expression raise the challenge of mapping systems on the basis of kinetic expression data in living cells. To address this, we measured promoter activity in the flagellar system of Escherichia coli at high accuracy and temporal resolution by means of reporter plasmids. The genes in the pathway were ordered by analysis algorithms without dependence on mutant strains. The observed temporal program of transcription was much more detailed than was previously thought and was associated with multiple steps of flagella assembly.
doi_str_mv 10.1126/science.1058758
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subjects Algorithms
Bacteria
Bacteriology
Biological and medical sciences
Cell motility
Cells
Cellular biology
DNA
Escherichia coli
Escherichia coli - genetics
Escherichia coli - growth & development
Escherichia coli - ultrastructure
Flagella
Flagella (Microbiology)
Flagella - genetics
Flagella - metabolism
Fluorescence
Fundamental and applied biological sciences. Psychology
Gene Expression Profiling
Gene Expression Regulation, Bacterial
Genes
Genes, Bacterial
Genes, Reporter
Genetics
Kinetics
Lipid peroxides
Mathematics
Methylation
Microbiology
Microorganisms
Motility
Mutagens
Mutation
Operon
Operons
Plasmids
Promoter Regions, Genetic
Reactive oxygen species
temporal expression pattern
title Ordering Genes in a Flagella Pathway by Analysis of Expression Kinetics from Living Bacteria
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