Evidence map›Paper›PMID 39353984›Full record

ArticleNPJ systems biology and applications2024

Systems biology approach for enhancing limonene yield by re-engineering Escherichia coli.

Jasmeet Kaur Khanijou, Yan Ting Hee, Clement P M Scipion, Xixian Chen, Kumar Selvarajoo

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

5 authors.

Jasmeet Kaur KhanijouSingapore Institute of Food and Biotechnology Innovation (SIFBI), Agency for Science, Technology and Research (A*STAR), 31 Biopolis Way, Nanos, Singapore, 138669, Singapore.ORCID http://orcid.org/0000-0001-8306-0911
Yan Ting HeeBioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), 30 Biopolis St, Matrix, Singapore, 138671, Singapore.
Clement P M ScipionCNRS@CREATE, 1 Create Way, #08-01 Create Tower, Singapore, Singapore.
Xixian ChenSingapore Institute of Food and Biotechnology Innovation (SIFBI), Agency for Science, Technology and Research (A*STAR), 31 Biopolis Way, Nanos, Singapore, 138669, Singapore.
Kumar SelvarajooBioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), 30 Biopolis St, Matrix, Singapore, 138671, Singapore. kumar_selvarajoo@bii.a-star.edu.sg.ORCID http://orcid.org/0000-0002-0314-9666

Funding

National Research Foundation Singapore (National Research Foundation-Prime Minister's office, Republic of Singapore) NRF2019-THE001-0007
6 · The paper itself

Abstract

Engineered microorganisms have emerged as viable alternatives for limonene production. However, issues such as low enzyme abundance or activities, and regulatory feedback/forward inhibition may reduce yields. To understand the underlying metabolism, we adopted a systems biology approach for an engineered limonene-producing Escherichia coli strain K-12 MG1655. Firstly, we generated time-series metabolomics data and, secondly, developed a dynamic model based on enzyme dynamics to track the native metabolic networks and the engineered mevalonate pathway. After several iterations of model fitting with experimental profiles, which also included

Indexed as

Escherichia coliLimoneneMetabolic EngineeringSystems BiologyAldehyde DehydrogenaseComputer SimulationMetabolic Networks and PathwaysMetabolomicsMevalonic AcidModels, BiologicalTerpenesAldehyde DehydrogenaseLimoneneMevalonic AcidTerpenes

Identifiers

PMID39353984
PMCPMC11445242

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.