Quantitative correlation between mRNA secondary structure around the region downstream of the initiation codon and translational efficiency in <i>Escherichia coli</i> is a research paper published in Biotechnology and Bioengineering (2009). On theSindex it has a DataRank of 3.0. It has been cited 50 times, with 41 citing works in its 1-hop citation network.
AbstractTranslational efficiency in Escherichia coli is known to be strongly influenced by the secondary structure around the ribosome‐binding site and the initiation codon in the translational‐initiation region of the mRNA. Several quantitative studies have reported that translational efficiency is attributable to effects on ribosome accessibility predominantly caused by the secondary structure surrounding the ribosome‐binding site. However, the influence of mRNA secondary structure around regions downstream of the initiation codon on translational efficiency after ribosome‐binding step has not been quantitatively studied. Here, we quantitatively analyzed the relationship between secondary structure of mRNA surrounding the region downstream of the initiation codon, referred to as the downstream region (DR), and protein expression levels. Modified hairpin structures containing the initiation codon were constructed by site‐directed mutagenesis, and their effects on expression were analyzed in vivo. The minimal folding free energy (ΔG) of a local hairpin structure was found to be linearly correlated with the relative expression level over a range of fourfold change. These results demonstrate that expression level can be quantitatively controlled by changing the stability of the secondary structure surrounding the DR. Biotechnol. Bioeng. 2009; 104: 611–616 © 2009 Wiley Periodicals, Inc.
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Base Score Contribution
0.590
From this paper's citation signal
Citation Network Contribution
2.4
From 38 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 20% comes from its base citations and 80% from the citation network (38 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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