Evidence map›Paper›PMID 30816266›Full record

ArticleScientific reports2019

Promoter RNA sequencing (PRSeq) for the massive and quantitative promoter analysis in vitro.

Shoji Ohuchi, Thorsten Mascher, Beatrix Suess

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

3 authors.

Shoji OhuchiInstitute of Microbiology, Technische Universität Dresden, Zellescher Weg 20b, 01217, Dresden, Germany. shojiohuchi@gmail.com.
Thorsten MascherInstitute of Microbiology, Technische Universität Dresden, Zellescher Weg 20b, 01217, Dresden, Germany.ORCID 0000-0002-6300-5541
Beatrix SuessDepartment of Biology, Technische Universität Darmstadt, Schnittspahnstrasse 10, 64287, Darmstadt, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of promoter strength and specificity is important for understanding and engineering gene regulation. Here, we report an in vitro promoter analysis method that can achieve both massiveness and quantitativeness. In this approach, a pool of single-stranded DNA with a partially randomized promoter sequence to be analyzed is chemically synthesized. Through enzymatic reactions, the randomized sequence will be copied to the downstream region, resulting in a template DNA pool that carries its own promoter information on its transcribed region. After in vitro transcription of the DNA pool with an RNA polymerase of interest, the sequences of the resulting transcripts will be analyzed. Since the promoter strength linearly correlates to the copy number of transcript, the strength of each promoter sequence can be evaluated. A model experiment of T7 promoter variants demonstrated the quantitativeness of the method, and the method was applied for the analysis of the promoter of cyanophage Syn5 RNA polymerase. This method provides a powerful approach for analyzing the complexity of promoter specificity and discrimination for highly abundant and often redundant alternative sigma factors such as the extracellular function (ECF) sigma factors.

Indexed as

Promoter Regions, GeneticSequence Analysis, RNABacteriophagesBacteriophage T7DNA-Directed RNA PolymerasesDNA, Single-StrandedTranscription, GeneticViral Proteinsbacteriophage T7 RNA polymeraseDNA-Directed RNA PolymerasesDNA, Single-StrandedViral Proteins

Identifiers

PMID30816266
PMCPMC6395800

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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.