Evidence map›Paper›PMID 33602295›Full record

ArticleJournal of biological engineering2021

Optimized expression of Hfq protein increases Escherichia coli growth.

Phuong N L Vo, Hyang-Mi Lee, Jun Ren, Dokyun Na

Open access · goldAbstract read
In one paragraph

Article in Journal of biological engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

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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 1 institution in 1 country.

Phuong N L VoDepartment of Biomedical Engineering, Chung-Ang University, Seoul, 06974, Republic of Korea.
Hyang-Mi LeeDepartment of Biomedical Engineering, Chung-Ang University, Seoul, 06974, Republic of Korea.
Jun RenDepartment of Biomedical Engineering, Chung-Ang University, Seoul, 06974, Republic of Korea.
Dokyun NaDepartment of Biomedical Engineering, Chung-Ang University, Seoul, 06974, Republic of Korea. blisszen@cau.ac.kr.
Chung-Ang University · KR

Funding

National Research Foundation of Korea 2018R1A5A1025077
6 · The paper itself

Abstract

Escherichia coli is a widely used platform for metabolic engineering due to its fast growth and well-established engineering techniques. However, there has been a demand for faster-growing E. coli for higher production of desired substances. Here, to increase the growth of E. coli cells, we optimized the expression level of Hfq protein, which plays an essential role in stress responses. Six variants of the hfq gene with a different ribosome binding site sequence and thereby a different expression level were constructed. When the Hfq expression level was optimized in DH5α, its growth rate was increased by 12.1% and its cell density was also increased by 4.5%. RNA-seq and network analyses revealed the upregulation of stress response genes and metabolic genes, which increases the tolerance against pH changes. When the same strategy was applied to five other E. coli strains (BL21 (DE3), JM109, TOP10, W3110, and MG1655), all their growth rates were increased by 18-94% but not all their densities were increased (- 12 - + 32%). In conclusion, the Hfq expression optimization can increase cell growth rate and probably their cell densities as well. Since the hfq gene is highly conserved across bacterial species, the same strategy could be applied to other bacterial species to construct faster-growing strains.

Indexed as

Cell densityEscherichia coliExpression optimizationGrowth rateHfq protein

Identifiers

PMID33602295
PMCPMC7890833
OpenAlexW3130513850

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.