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Copy number variability of expression plasmids determined by cell sorting and Droplet Digital PCR

Overview of attention for article published in Microbial Cell Factories, December 2016
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Title
Copy number variability of expression plasmids determined by cell sorting and Droplet Digital PCR
Published in
Microbial Cell Factories, December 2016
DOI 10.1186/s12934-016-0610-8
Pubmed ID
Authors

Michael Jahn, Carsten Vorpahl, Thomas Hübschmann, Hauke Harms, Susann Müller

Abstract

Plasmids are widely used for molecular cloning or production of proteins in laboratory and industrial settings. Constant modification has brought forth countless plasmid vectors whose characteristics in terms of average plasmid copy number (PCN) and stability are rarely known. The crucial factor determining the PCN is the replication system; most replication systems in use today belong to a small number of different classes and are available through repositories like the Standard European Vector Architecture (SEVA). In this study, the PCN was determined in a set of seven SEVA-based expression plasmids only differing in the replication system. The average PCN for all constructs was determined by Droplet Digital PCR and ranged between 2 and 40 per chromosome in the host organism Escherichia coli. Furthermore, a plasmid-encoded EGFP reporter protein served as a means to assess variability in reporter gene expression on the single cell level. Only cells with one type of plasmid (RSF1010 replication system) showed a high degree of heterogeneity with a clear bimodal distribution of EGFP intensity while the others showed a normal distribution. The heterogeneous RSF1010-carrying cell population and one normally distributed population (ColE1 replication system) were further analyzed by sorting cells of sub-populations selected according to EGFP intensity. For both plasmids, low and highly fluorescent sub-populations showed a remarkable difference in PCN, ranging from 9.2 to 123.4 for ColE1 and from 0.5 to 11.8 for RSF1010, respectively. The average PCN determined here for a set of standardized plasmids was generally at the lower end of previously reported ranges and not related to the degree of heterogeneity. Further characterization of a heterogeneous and a homogeneous population demonstrated considerable differences in the PCN of sub-populations. We therefore present direct molecular evidence that the average PCN does not represent the true number of plasmid molecules in individual cells.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 285 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 284 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 59 21%
Student > Bachelor 52 18%
Student > Master 40 14%
Researcher 33 12%
Other 7 2%
Other 23 8%
Unknown 71 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 123 43%
Agricultural and Biological Sciences 54 19%
Chemistry 8 3%
Computer Science 4 1%
Immunology and Microbiology 4 1%
Other 18 6%
Unknown 74 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 November 2019.
All research outputs
#14,595,664
of 25,364,603 outputs
Outputs from Microbial Cell Factories
#898
of 1,822 outputs
Outputs of similar age
#215,565
of 422,515 outputs
Outputs of similar age from Microbial Cell Factories
#18
of 36 outputs
Altmetric has tracked 25,364,603 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,822 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 422,515 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.