Evidence map›Paper›PMID 29318198›Full record

ReviewSynthetic and systems biotechnology2017

Transcription control engineering and applications in synthetic biology.

Michael D Engstrom, Brian F Pfleger

Abstract readReview
In one paragraph

Review in Synthetic and systems biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

53 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Bioengineering hybrid artificial life.Frontiers in bioinformatics · 2025
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Promoters in Pichia pastoris: A Toolbox for Fine-Tuned Gene Expression.Methods in molecular biology (Clifton, N.J.) · 2024
    Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Split aminoacyl-tRNA synthetases for proximity-induced stop codon suppression.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  19. Article
  20. Synthetic biology tools for engineeringComputational and structural biotechnology journal · 2023
    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

2 authors.

Michael D EngstromGenetics-Biotechnology Center, University of Wisconsin-Madison School of Medicine and Public Health, USA.
Brian F PflegerDepartment of Chemical and Biological Engineering, University of Wisconsin-Madison College of Engineering, USA.

Funding

Institutional Training in the Genomic SciencesT32HG002760 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI Qiongshi Lu · 2003 to 2026
$17.7M
NHGRI NIH HHS T32 HG002760
6 · The paper itself

Abstract

In synthetic biology, researchers assemble biological components in new ways to produce systems with practical applications. One of these practical applications is control of the flow of genetic information (from nucleic acid to protein), a.k.a. gene regulation. Regulation is critical for optimizing protein (and therefore activity) levels and the subsequent levels of metabolites and other cellular properties. The central dogma of molecular biology posits that information flow commences with transcription, and accordingly, regulatory tools targeting transcription have received the most attention in synthetic biology. In this mini-review, we highlight many past successes and summarize the lessons learned in developing tools for controlling transcription. In particular, we focus on engineering studies where promoters and transcription terminators (

Indexed as

BacteriaMetabolic engineeringPromoterSynthetic biologyTerminationTranscription

Identifiers

PMID29318198
PMCPMC5655343

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.