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Engineering a palette of eukaryotic chromoproteins for bacterial synthetic biology

Overview of attention for article published in Journal of Biological Engineering, May 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#15 of 313)
  • High Attention Score compared to outputs of the same age (92nd percentile)

Mentioned by

blogs
1 blog
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35 X users
wikipedia
3 Wikipedia pages
googleplus
1 Google+ user

Citations

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48 Dimensions

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248 Mendeley
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Title
Engineering a palette of eukaryotic chromoproteins for bacterial synthetic biology
Published in
Journal of Biological Engineering, May 2018
DOI 10.1186/s13036-018-0100-0
Pubmed ID
Authors

Josefine Liljeruhm, Saskia K. Funk, Sandra Tietscher, Anders D. Edlund, Sabri Jamal, Pikkei Wistrand-Yuen, Karl Dyrhage, Arvid Gynnå, Katarina Ivermark, Jessica Lövgren, Viktor Törnblom, Anders Virtanen, Erik R. Lundin, Erik Wistrand-Yuen, Anthony C. Forster

Abstract

Coral reefs are colored by eukaryotic chromoproteins (CPs) that are homologous to green fluorescent protein. CPs differ from fluorescent proteins (FPs) by intensely absorbing visible light to give strong colors in ambient light. This endows CPs with certain advantages over FPs, such as instrument-free detection uncomplicated by ultra-violet light damage or background fluorescence, efficient Förster resonance energy transfer (FRET) quenching, and photoacoustic imaging. Thus, CPs have found utility as genetic markers and in teaching, and are attractive for potential cell biosensor applications in the field. Most near-term applications of CPs require expression in a different domain of life: bacteria. However, it is unclear which of the eukaryotic CP genes might be suitable and how best to assay them. Here, taking advantage of codon optimization programs in 12 cases, we engineered 14 CP sequences (meffRed, eforRed, asPink, spisPink, scOrange, fwYellow, amilGFP, amajLime, cjBlue, meffBlue, aeBlue, amilCP, tsPurple and gfasPurple) into a palette of Escherichia coli BioBrick plasmids. BioBricks comply with synthetic biology's most widely used, simplified, cloning standard. Differences in color intensities, maturation times and fitness costs of expression were compared under the same conditions, and visible readout of gene expression was quantitated. A surprisingly large variation in cellular fitness costs was found, resulting in loss of color in some overnight liquid cultures of certain high-copy-plasmid-borne CPs, and cautioning the use of multiple CPs as markers in competition assays. We solved these two problems by integrating pairs of these genes into the chromosome and by engineering versions of the same CP with very different colors. Availability of 14 engineered CP genes compared in E. coli, together with chromosomal mutants suitable for competition assays, should simplify and expand CP study and applications. There was no single plasmid-borne CP that combined all of the most desirable features of intense color, fast maturation and low fitness cost, so this study should help direct future engineering efforts.

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 248 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 248 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 42 17%
Student > Ph. D. Student 39 16%
Researcher 39 16%
Student > Master 22 9%
Student > Postgraduate 7 3%
Other 17 7%
Unknown 82 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 72 29%
Agricultural and Biological Sciences 40 16%
Engineering 11 4%
Immunology and Microbiology 7 3%
Chemistry 5 2%
Other 21 8%
Unknown 92 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 13 November 2023.
All research outputs
#1,242,560
of 25,753,578 outputs
Outputs from Journal of Biological Engineering
#15
of 313 outputs
Outputs of similar age
#26,357
of 340,777 outputs
Outputs of similar age from Journal of Biological Engineering
#1
of 4 outputs
Altmetric has tracked 25,753,578 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 313 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 95% of its peers.
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 340,777 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them