Evidence map›Paper›PMID 32577520›Full record

ArticleScience advances2020

Accelerated evolution of a minimal 63-amino acid dual transcription factor.

Andreas K Brödel, Rui Rodrigues, Alfonso Jaramillo, Mark Isalan

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

16 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  4. Emergence of activation or repression in transcriptional control under a fixed molecular context.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  9. Review
  10. Transcription factor-based biosensors for screening and dynamic regulation.Frontiers in bioengineering and biotechnology · 2023
    Review
  11. Article
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  15. Article
  16. Article
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

4 authors at 3 institutions in 3 countries.

Andreas K BrödelDepartment of Life Sciences, Imperial College London, London SW7 2AZ, UK.ORCID 0000-0002-8639-9782
Rui RodriguesWarwick Integrative Synthetic Biology Centre and School of Life Sciences, University of Warwick, Coventry CV4 7AL, UK.ORCID 0000-0002-5391-3263
Alfonso JaramilloWarwick Integrative Synthetic Biology Centre and School of Life Sciences, University of Warwick, Coventry CV4 7AL, UK.ORCID 0000-0002-6313-9689
Mark IsalanDepartment of Life Sciences, Imperial College London, London SW7 2AZ, UK.ORCID 0000-0002-4652-0365
Imperial College London · GBCentre National de la Recherche Scientifique · FRUniversity of Warwick · GB

Funding

Wellcome Trust 102944/Z/13/Z
6 · The paper itself

Abstract

Transcription factors control gene expression in all life. This raises the question of what is the smallest protein that can support such activity. In nature, Cro from bacteriophage λ is one of the smallest known repressors (66 amino acids), and activators are typically much larger (e.g., λ cI, 237 amino acids). Previous efforts to engineer a minimal activator from λ Cro resulted in no activity in vivo in cells. In this study, we show that directed evolution results in a new Cro activator-repressor that functions as efficiently as λ cI in vivo. To achieve this, we develop phagemid-assisted continuous evolution (PACEmid). We find that a peptide as small as 63 amino acids functions efficiently as an activator and/or repressor. To our knowledge, this is the smallest protein activator that enables polymerase recruitment, highlighting the capacity of transcription factors to evolve from very short peptide sequences.

Identifiers

PMID32577520
PMCPMC7286687
OpenAlexW3035092496

What OpenQuestion holds

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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.