Literature DB >> 6486766

Tetracycline diffusion through phospholipid bilayers and binding to phospholipids.

M Argast, C F Beck.   

Abstract

The ability of tetracycline to pass through phospholipid bilayers by diffusion was investigated. Liposomes did not retain enclosed tetracycline. Accumulation of tetracycline was observed with liposomes containing entrapped Tet repressor protein. These results indicate that the drug can pass through lipid bilayers. The antibiotic was also shown to bind to liposomes and isolated phospholipids.

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Year:  1984        PMID： 6486766      PMCID： PMC284133          DOI： 10.1128/AAC.26.2.263

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN： 0066-4804            Impact factor:   5.191


  8 in total

1.  Protein measurement with the Folin phenol reagent.

Authors:  O H LOWRY; N J ROSEBROUGH; A L FARR; R J RANDALL
Journal:  J Biol Chem       Date:  1951-11       Impact factor: 5.157

2.  Two transport systems for tetracycline in sensitive Escherichia coli: critical role for an initial rapid uptake system insensitive to energy inhibitors.

Authors:  L McMurry; S B Levy
Journal:  Antimicrob Agents Chemother       Date:  1978-08       Impact factor: 5.191

3.  Uptake of tetracycline by Escherichia coli: lack of binding of tetracycline to the uptake system.

Authors:  A M Reynard; L F Nellis
Journal:  Biochem Biophys Res Commun       Date:  1972-09-05       Impact factor: 3.575

Review 4.  New aspects of liposomes.

Authors:  D A Tyrrell; T D Heath; C M Colley; B E Ryman
Journal:  Biochim Biophys Acta       Date:  1976-12-14

Review 5.  Transport of antibiotics into bacteria.

Authors:  I Chopra; P Ball
Journal:  Adv Microb Physiol       Date:  1982       Impact factor: 3.517

6.  Procedure for preparation of liposomes with large internal aqueous space and high capture by reverse-phase evaporation.

Authors:  F Szoka; D Papahadjopoulos
Journal:  Proc Natl Acad Sci U S A       Date:  1978-09       Impact factor: 11.205

7.  Control of expression of the Tn10-encoded tetracycline resistance genes. Equilibrium and kinetic investigation of the regulatory reactions.

Authors:  W Hillen; C Gatz; L Altschmied; K Schollmeier; I Meier
Journal:  J Mol Biol       Date:  1983-09-25       Impact factor: 5.469

8.  Active uptake of tetracycline by membrane vesicles from susceptible Escherichia coli.

Authors:  L M McMurry; J C Cullinane; R E Petrucci; S B Levy
Journal:  Antimicrob Agents Chemother       Date:  1981-09       Impact factor: 5.191
  8 in total
  9 in total

1.  Ultrasensitivity and noise propagation in a synthetic transcriptional cascade.

Authors:  Sara Hooshangi; Stephan Thiberge; Ron Weiss
Journal:  Proc Natl Acad Sci U S A       Date:  2005-02-28       Impact factor: 11.205

2.  Lack of evidence for a saturable tetracycline transport system in Staphylococcus aureus.

Authors:  I Chopra; S Ismail; B Oliva
Journal:  Antimicrob Agents Chemother       Date:  1991-12       Impact factor: 5.191

3.  Inducible expression of transmembrane proteins on bacterial magnetic particles in Magnetospirillum magneticum AMB-1.

Authors:  Tomoko Yoshino; Akiko Shimojo; Yoshiaki Maeda; Tadashi Matsunaga
Journal:  Appl Environ Microbiol       Date:  2009-12-28       Impact factor: 4.792

4.  Overproduction of transposon Tn10-encoded tetracycline resistance protein results in cell death and loss of membrane potential.

Authors:  B Eckert; C F Beck
Journal:  J Bacteriol       Date:  1989-06       Impact factor: 3.490

Review 5.  Penetration of lipophilic agents with multiple protonation sites into bacterial cells: tetracyclines and fluoroquinolones as examples.

Authors:  H Nikaido; D G Thanassi
Journal:  Antimicrob Agents Chemother       Date:  1993-07       Impact factor: 5.191

6.  Delta pH-dependent accumulation of tetracycline in Escherichia coli.

Authors:  A Yamaguchi; H Ohmori; M Kaneko-Ohdera; T Nomura; T Sawai
Journal:  Antimicrob Agents Chemother       Date:  1991-01       Impact factor: 5.191

7.  Tetracycline uptake by susceptible Escherichia coli cells.

Authors:  M Argast; C F Beck
Journal:  Arch Microbiol       Date:  1985-04       Impact factor: 2.552

8.  A convolutional neural network for the prediction and forward design of ribozyme-based gene-control elements.

Authors:  Calvin M Schmidt; Christina D Smolke
Journal:  Elife       Date:  2021-04-16       Impact factor: 8.140

9.  Tetracycline regulated systems in functional oncogenomics.

Authors:  Arkadiusz Welman; Jane Barraclough; Caroline Dive
Journal:  Transl Oncogenomics       Date:  2007-03-28
  9 in total

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