Automated imaging with ScanLag reveals previously undetectable bacterial growth phenotypes

Irit Levin-Reisman; Orit Gefen; Ofer Fridman; Irine Ronin; David Shwa; Hila Sheftel; Nathalie Q. Balaban

doi:10.1038/nmeth.1485

Automated imaging with ScanLag reveals previously undetectable bacterial growth phenotypes

Irit Levin-Reisman, Orit Gefen, Ofer Fridman, Irine Ronin, David Shwa, Hila Sheftel, Nathalie Q. Balaban

Research output: Contribution to journal › Article › peer-review

122 Scopus citations

Abstract

We developed an automated system, ScanLag, that measures in parallel the delay in growth (lag time) and growth rate of thousands of cells. Using ScanLag, we detected small subpopulations of bacteria with dramatically increased lag time upon starvation. By screening a library of Escherichia coli deletion mutants, we achieved two-dimensional mapping of growth characteristics, which showed that ScanLag enables multidimensional screens for quantitative characterization and identification of rare phenotypic variants.

Original language	English
Pages (from-to)	737-739
Number of pages	3
Journal	Nature Methods
Volume	7
Issue number	9
DOIs	https://doi.org/10.1038/nmeth.1485
State	Published - Sep 2010

Bibliographical note

Funding Information:
We thank A. Keynan for invaluable discussions on the importance of the lag phase, D. Azulay and A. Bar-Yaacov for helpful theoretical discussions, I. Rosenshine (Hebrew University) for strains, and the National BioResource Project and National Institute of Genetics, Japan for the large and medium deletion mutants library, S. Silbert for initial software development and E. Rotem and S. Pearl for technical support and comments on the manuscript. The work was supported by the Human Frontier Science Program and by the Israel Science Foundation.

Access to Document

10.1038/nmeth.1485

Cite this

@article{c20ae80aeee74217999c00b96b010b3f,

title = "Automated imaging with ScanLag reveals previously undetectable bacterial growth phenotypes",

abstract = "We developed an automated system, ScanLag, that measures in parallel the delay in growth (lag time) and growth rate of thousands of cells. Using ScanLag, we detected small subpopulations of bacteria with dramatically increased lag time upon starvation. By screening a library of Escherichia coli deletion mutants, we achieved two-dimensional mapping of growth characteristics, which showed that ScanLag enables multidimensional screens for quantitative characterization and identification of rare phenotypic variants.",

author = "Irit Levin-Reisman and Orit Gefen and Ofer Fridman and Irine Ronin and David Shwa and Hila Sheftel and Balaban, {Nathalie Q.}",

note = "Funding Information: We thank A. Keynan for invaluable discussions on the importance of the lag phase, D. Azulay and A. Bar-Yaacov for helpful theoretical discussions, I. Rosenshine (Hebrew University) for strains, and the National BioResource Project and National Institute of Genetics, Japan for the large and medium deletion mutants library, S. Silbert for initial software development and E. Rotem and S. Pearl for technical support and comments on the manuscript. The work was supported by the Human Frontier Science Program and by the Israel Science Foundation.",

year = "2010",

month = sep,

doi = "10.1038/nmeth.1485",

language = "אנגלית",

volume = "7",

pages = "737--739",

journal = "Nature Methods",

issn = "1548-7091",

publisher = "Nature Research",

number = "9",

}

TY - JOUR

T1 - Automated imaging with ScanLag reveals previously undetectable bacterial growth phenotypes

AU - Levin-Reisman, Irit

AU - Gefen, Orit

AU - Fridman, Ofer

AU - Ronin, Irine

AU - Shwa, David

AU - Sheftel, Hila

AU - Balaban, Nathalie Q.

N1 - Funding Information: We thank A. Keynan for invaluable discussions on the importance of the lag phase, D. Azulay and A. Bar-Yaacov for helpful theoretical discussions, I. Rosenshine (Hebrew University) for strains, and the National BioResource Project and National Institute of Genetics, Japan for the large and medium deletion mutants library, S. Silbert for initial software development and E. Rotem and S. Pearl for technical support and comments on the manuscript. The work was supported by the Human Frontier Science Program and by the Israel Science Foundation.

PY - 2010/9

Y1 - 2010/9

N2 - We developed an automated system, ScanLag, that measures in parallel the delay in growth (lag time) and growth rate of thousands of cells. Using ScanLag, we detected small subpopulations of bacteria with dramatically increased lag time upon starvation. By screening a library of Escherichia coli deletion mutants, we achieved two-dimensional mapping of growth characteristics, which showed that ScanLag enables multidimensional screens for quantitative characterization and identification of rare phenotypic variants.

AB - We developed an automated system, ScanLag, that measures in parallel the delay in growth (lag time) and growth rate of thousands of cells. Using ScanLag, we detected small subpopulations of bacteria with dramatically increased lag time upon starvation. By screening a library of Escherichia coli deletion mutants, we achieved two-dimensional mapping of growth characteristics, which showed that ScanLag enables multidimensional screens for quantitative characterization and identification of rare phenotypic variants.

UR - http://www.scopus.com/inward/record.url?scp=77956342535&partnerID=8YFLogxK

U2 - 10.1038/nmeth.1485

DO - 10.1038/nmeth.1485

M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???

C2 - 20676109

AN - SCOPUS:77956342535

SN - 1548-7091

VL - 7

SP - 737

EP - 739

JO - Nature Methods

JF - Nature Methods

IS - 9

ER -

Automated imaging with ScanLag reveals previously undetectable bacterial growth phenotypes

Abstract

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this