Evidence map›Paper›PMID 23470993›Full record

ArticleNucleic acids research2013

Spanning high-dimensional expression space using ribosome-binding site combinatorics.

Lior Zelcbuch, Niv Antonovsky, Arren Bar-Even, Ayelet Levin-Karp, Uri Barenholz, Michal Dayagi, Wolfram Liebermeister, Avi Flamholz, Elad Noor, Shira Amram and 5 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

75 citing papers in PubMed.

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  13. New-to-nature CONature communications · 2024
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  18. Production of Astaxanthin Using CBFD1/HFBD1 fromBioengineering (Basel, Switzerland) · 2023
    Article
  19. Article
  20. Article

15 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Lior ZelcbuchDepartment of Plant Sciences, Weizmann Institute of Science, Rehovot 76100, Israel.
Niv Antonovsky
Arren Bar-Even
Ayelet Levin-Karp
Uri Barenholz
Michal Dayagi
Wolfram Liebermeister
Avi Flamholz
Elad Noor
Shira Amram
Alexander Brandis
Tasneem Bareia
Ido Yofe
Halim Jubran
Ron Milo

Funding

European Research Council 260392
6 · The paper itself

Abstract

Protein levels are a dominant factor shaping natural and synthetic biological systems. Although proper functioning of metabolic pathways relies on precise control of enzyme levels, the experimental ability to balance the levels of many genes in parallel is a major outstanding challenge. Here, we introduce a rapid and modular method to span the expression space of several proteins in parallel. By combinatorially pairing genes with a compact set of ribosome-binding sites, we modulate protein abundance by several orders of magnitude. We demonstrate our strategy by using a synthetic operon containing fluorescent proteins to span a 3D color space. Using the same approach, we modulate a recombinant carotenoid biosynthesis pathway in Escherichia coli to reveal a diversity of phenotypes, each characterized by a distinct carotenoid accumulation profile. In a single combinatorial assembly, we achieve a yield of the industrially valuable compound astaxanthin 4-fold higher than previously reported. The methodology presented here provides an efficient tool for exploring a high-dimensional expression space to locate desirable phenotypes.

Indexed as

Gene Expression RegulationProtein BiosynthesisBinding SitesCarotenoidsEscherichia coliFluorescent DyesLuminescent ProteinsMetabolic EngineeringMetabolic Networks and PathwaysOperonProteinsRibosomesCarotenoidsFluorescent DyesLuminescent ProteinsProteins

Identifiers

PMID23470993
PMCPMC3643573

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.