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Cited by 2,809

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Rapid procedure for detection and isolation of large and small plasmids

Open access
Kado, C I, Liu, S T·1981·Journal of Bacteriology

Abstract

Procedures are described for the detection and isolation of plasmids of various sizes (2.6 to 350 megadaltons) that are harbored in species of Agrobacterium, Rhizobium, Escherichia, Salmonella, Erwinia, Pseudomonas, and Xanthomonas. The method utilized the molecular characteristics of covalently closed circular deoxyribonucleic acid (DNA) that is released from cells under conditions that denature chromosomal DNA by using alkaline sodium dodecyl sulfate (pH 12.6) at elevated temperatures. Proteins and cell debris were removed by extraction with phenol-chloroform. Under these conditions chromosomal DNA concentrations were reduced or eliminated. The clarified extract was used directly for electrophoretic analysis. These procedures also permitted the selective isolation of plasmid DNA that can be used directly in nick translation, restriction endonuclease analysis, transformation, and DNA cloning experiments.

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Crossref · 10.1128/jb.145.3.1365-1373.1981

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Metadata

Authors
Kado, C. I., & Liu, S. T.
Venue
Journal of Bacteriology
Published
1981-03
Volume
145
Issue
3
Pages
1365-1373
ISSN
  • 0021-9193 (ISSN-L)
  • 1098-5530
OpenAlex
W1690413094
Cited by
2,809
References
1
FWCI
46.87
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Rapid procedure for detection and isolation of large and small plasmids. https://app.cochat.ai/papers/10.1128/jb.145.3.1365-1373.1981
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Kado, C. I., & Liu, S. T. (1981). Rapid procedure for detection and isolation of large and small plasmids. Journal of Bacteriology. https://doi.org/10.1128/jb.145.3.1365-1373.1981

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.