Evidence map›Paper›PMID 32424071›Full record

ArticleGenome research2020

Global fitness landscapes of the Shine-Dalgarno sequence.

Syue-Ting Kuo, Ruey-Lin Jahn, Yuan-Ju Cheng, Yi-Lan Chen, Yun-Ju Lee, Florian Hollfelder, Jin-Der Wen, Hsin-Hung David Chou

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
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  11. Inference and visualization of complex genotype-phenotype maps withbioRxiv : the preprint server for biology · 2025
    Article
  12. Article
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  14. Article
  15. Article
  16. Data hazards in synthetic biology.Synthetic biology (Oxford, England) · 2024
    Review
  17. Article
  18. Article
  19. Article
  20. 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

8 authors at 2 institutions in 2 countries.

Syue-Ting Kuo *Department of Life Science, National Taiwan University, Taipei 10617, Taiwan.ORCID 0000-0003-0992-7198
Ruey-Lin Jahn *Department of Electrical Engineering, National Taiwan University, Taipei 10617, Taiwan.ORCID 0000-0002-2060-3509
Yuan-Ju Cheng *Department of Life Science, National Taiwan University, Taipei 10617, Taiwan.ORCID 0000-0003-2548-9730
Yi-Lan ChenGenome and Systems Biology Degree Program, Academia Sinica and National Taiwan University, Taipei 10617, Taiwan.ORCID 0000-0002-2965-0520
Yun-Ju LeeDepartment of Life Science, National Taiwan University, Taipei 10617, Taiwan.ORCID 0000-0002-7343-8789
Florian HollfelderDepartment of Biochemistry, University of Cambridge, Cambridge CB2 1GA, United Kingdom.ORCID 0000-0002-1367-6312
Jin-Der WenGenome and Systems Biology Degree Program, Academia Sinica and National Taiwan University, Taipei 10617, Taiwan.ORCID 0000-0001-8317-4329
Hsin-Hung David ChouDepartment of Life Science, National Taiwan University, Taipei 10617, Taiwan.ORCID 0000-0001-6003-5609
National Taiwan University · TWUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shine-Dalgarno sequences (SD) in prokaryotic mRNA facilitate protein translation by pairing with rRNA in ribosomes. Although conventionally defined as AG-rich motifs, recent genomic surveys reveal great sequence diversity, questioning how SD functions. Here, we determined the molecular fitness (i.e., translation efficiency) of 4

Indexed as

Peptide Chain Initiation, TranslationalBase SequenceEpistasis, GeneticEvolution, MolecularGenotypeGuanineMutationRibosomesRNA, MessengerThermodynamicsGuanineRNA, Messenger

Identifiers

PMID32424071
PMCPMC7263185
OpenAlexW3026733594

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.