Evidence map›Paper›PMID 29734387›Full record

ArticlePloS one2018

High-throughput evaluation of T7 promoter variants using biased randomization and DNA barcoding.

Ryo Komura, Wataru Aoki, Keisuke Motone, Atsushi Satomura, Mitsuyoshi Ueda

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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

21 citing papers in PubMed, 56 citations in OpenAlex.

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  12. Complex Dependence ofACS synthetic biology · 2023
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  13. T7Max transcription system.Journal of biological engineering · 2023
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  17. Effective Use of Linear DNA in Cell-Free Expression Systems.Frontiers in bioengineering and biotechnology · 2021
    Review
  18. Review
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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

5 authors at 2 institutions in 1 country.

Ryo KomuraDivision of Applied Life Sciences, Graduate School of Agriculture, Kyoto University, Kitashirakawa Oiwake-cho, Sakyo-ku, Kyoto, Japan.
Wataru AokiDivision of Applied Life Sciences, Graduate School of Agriculture, Kyoto University, Kitashirakawa Oiwake-cho, Sakyo-ku, Kyoto, Japan.
Keisuke MotoneDivision of Applied Life Sciences, Graduate School of Agriculture, Kyoto University, Kitashirakawa Oiwake-cho, Sakyo-ku, Kyoto, Japan.
Atsushi SatomuraDivision of Applied Life Sciences, Graduate School of Agriculture, Kyoto University, Kitashirakawa Oiwake-cho, Sakyo-ku, Kyoto, Japan.
Mitsuyoshi UedaDivision of Applied Life Sciences, Graduate School of Agriculture, Kyoto University, Kitashirakawa Oiwake-cho, Sakyo-ku, Kyoto, Japan.ORCID 0000-0003-2268-2391
Kyoto University · JPJapan Society for the Promotion of Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cis-regulatory elements (CREs) are one of the important factors in controlling gene expression and elucidation of their roles has been attracting great interest. We have developed an improved method for analyzing a large variety of mutant CRE sequences in a simple and high-throughput manner. In our approach, mutant CREs with unique barcode sequences were obtained by biased randomization in a single PCR amplification. The original T7 promoter sequence was randomized by biased randomization, and the target number of base substitutions was set to be within the range of 0 to 5. The DNA library and subsequent transcribed RNA library were sequenced by next generation sequencers (NGS) to quantify transcriptional activity of each mutant. We succeeded in producing a randomized T7 promoter library with high coverage rate at each target number of base substitutions. In a single NGS analysis, we quantified the transcriptional activity of 7847 T7 promoter variants. We confirmed that the bases from -9 to -7 play an important role in the transcriptional activity of the T7 promoter. This information coincides with the previous researches and demonstrated the validity of our methodology. Furthermore, using an in vitro transcription/translation system, we found that transcriptional activities of these T7 variants were well correlated with the resultant protein abundance. We demonstrate that our method enables simple and high-throughput analysis of the effects of various CRE mutations on transcriptional regulation.

Indexed as

Promoter Regions, GeneticTranscription, GeneticBacteriophage T7DNA Barcoding, TaxonomicDNA-Directed RNA PolymerasesGene Expression RegulationHigh-Throughput Nucleotide SequencingMutationRegulatory Sequences, Nucleic AcidDNA-Directed RNA Polymerases

Identifiers

PMID29734387
PMCPMC5937735
OpenAlexW2803046229

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.