Evidence map›Paper›PMID 36212995›Full record

ArticleSynthetic biology (Oxford, England)2022

A universal approach to gene expression engineering.

Rahmi Lale, Lisa Tietze, Maxime Fages-Lartaud, Jenny Nesje, Ingerid Onsager, Kerstin Engelhardt, Che Fai Alex Wong, Madina Akan, Niklas Hummel, Jörn Kalinowski and 2 more

Abstract read
In one paragraph

Article in Synthetic biology (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Frontiers in bioengineering and biotechnology · 2022
    Article
  7. Review
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

12 authors.

Rahmi LaleDepartment of Biotechnology, Faculty of Natural Sciences, Norwegian University of Science and Technology, Trondheim 7491, Norway.ORCID https://orcid.org/0000-0001-5460-3163
Lisa TietzeDepartment of Biotechnology, Faculty of Natural Sciences, Norwegian University of Science and Technology, Trondheim 7491, Norway.
Maxime Fages-LartaudDepartment of Biotechnology, Faculty of Natural Sciences, Norwegian University of Science and Technology, Trondheim 7491, Norway.
Jenny NesjeDepartment of Biotechnology, Faculty of Natural Sciences, Norwegian University of Science and Technology, Trondheim 7491, Norway.
Ingerid OnsagerDepartment of Biotechnology, Faculty of Natural Sciences, Norwegian University of Science and Technology, Trondheim 7491, Norway.
Kerstin EngelhardtDepartment of Biotechnology, Faculty of Natural Sciences, Norwegian University of Science and Technology, Trondheim 7491, Norway.
Che Fai Alex WongDepartment of Biotechnology, Faculty of Natural Sciences, Norwegian University of Science and Technology, Trondheim 7491, Norway.
Madina AkanDepartment of Biotechnology, Faculty of Natural Sciences, Norwegian University of Science and Technology, Trondheim 7491, Norway.
Niklas HummelDepartment of Biotechnology, Faculty of Natural Sciences, Norwegian University of Science and Technology, Trondheim 7491, Norway.
Jörn KalinowskiCenter for Biotechnology, Bielefeld University, Bielefeld 33615, Germany.ORCID https://orcid.org/0000-0002-9052-1998
Christian RückertCenter for Biotechnology, Bielefeld University, Bielefeld 33615, Germany.
Martin Frank Hohmann-MarriottDepartment of Biotechnology, Faculty of Natural Sciences, Norwegian University of Science and Technology, Trondheim 7491, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we provide a universal approach to Gene Expression Engineering (GeneEE) for creating artificial expression systems. GeneEE leads to the generation of artificial 5

Indexed as

5′ untranslated regionartificial promoterstranscriptiontranslation

Identifiers

PMID36212995
PMCPMC9534286

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.