Literature DB >> 12576061

Time-minimized determination of ribosome and tRNA levels in bacterial cells using flow field-flow fractionation.

Cecilia Arfvidsson1, Karl Gustav Wahlund.   

Abstract

The evaluation of the translation capacity of cells that produce recombinant proteins can be made by monitoring their ribosomal composition. In a previous use of asymmetrical flow field-flow fractionation (AsFlFFF) for this purpose the overall analysis time was more than 1 h and 40 min, based on a standard protocol for cell harvest, washing, cell disruption, and the final 8-min AsFlFFF determination of ribosome and subunits. In the present work the overall analysis time was reduced to 16 min. The washing step was deleted and a time-consuming freeze-thaw cycle. Cell disruption was obtained by a time-minimized lysozyme and detergent treatment for 1.5 min, respectively. The ribosomal material was finally fractionated and quantified in only 6 min, without previous centrifugation, using AsFlFFF. The great time reduction will enable the future use of AsFlFFF at-line to a growing cell cultivation, continuously monitoring the change in ribosomal composition or in other applications requiring high sample throughput. To demonstrate the high efficiency of the method the ribosome and tRNA composition in an Escherichia coli cultivation was monitored every half an hour, giving 18 measurements across the complete growth curve, a frequency of data enough to make decisions about induction or termination of the cultivation. Copyright 2003 Elsevier Science (USA)

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Year:  2003        PMID: 12576061     DOI: 10.1016/s0003-2697(02)00541-9

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  3 in total

1.  Sensitive quantitative detection of commensal bacteria by rRNA-targeted reverse transcription-PCR.

Authors:  Kazunori Matsuda; Hirokazu Tsuji; Takashi Asahara; Yukiko Kado; Koji Nomoto
Journal:  Appl Environ Microbiol       Date:  2006-10-27       Impact factor: 4.792

2.  Membranes, energetics, and evolution across the prokaryote-eukaryote divide.

Authors:  Michael Lynch; Georgi K Marinov
Journal:  Elife       Date:  2017-03-16       Impact factor: 8.140

3.  Elusive data underlying debate at the prokaryote-eukaryote divide.

Authors:  Marie Gerlitz; Michael Knopp; Nils Kapust; Joana C Xavier; William F Martin
Journal:  Biol Direct       Date:  2018-10-03       Impact factor: 4.540

  3 in total

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