Evidence map›Paper›PMID 28674555›Full record

ArticleBiotechnology for biofuels2017

A design-build-test cycle using modeling and experiments reveals interdependencies between upper glycolysis and xylose uptake in recombinant

Ljubisa Miskovic, Susanne Alff-Tuomala, Keng Cher Soh, Dorothee Barth, Laura Salusjärvi, Juha-Pekka Pitkänen, Laura Ruohonen, Merja Penttilä, Vassily Hatzimanikatis

Abstract read
In one paragraph

Article in Biotechnology for biofuels, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Bacteria as living biosensors for DNA.Nature reviews bioengineering · 2026
    Article
  2. Article
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  4. Article
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  7. ACS synthetic biology · 2023
    Article
  8. Article
  9. Article
  10. Transcription Analysis of RecombinantJournal of microbiology and biotechnology · 2020
    Article
  11. Large-scale kinetic metabolic models ofBiotechnology for biofuels · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Strategies to ImproveIndian journal of microbiology · 2017
    Review
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

9 authors.

Ljubisa MiskovicEcole Polytechnique Federale de Lausanne (EPFL), 1015 Lausanne, Switzerland.ORCID 0000-0001-7333-8211
Susanne Alff-TuomalaVTT Technical Research Centre of Finland Ltd, Espoo, Finland.
Keng Cher SohEcole Polytechnique Federale de Lausanne (EPFL), 1015 Lausanne, Switzerland.
Dorothee BarthVTT Technical Research Centre of Finland Ltd, Espoo, Finland.
Laura SalusjärviVTT Technical Research Centre of Finland Ltd, Espoo, Finland.
Juha-Pekka PitkänenVTT Technical Research Centre of Finland Ltd, Espoo, Finland.
Laura RuohonenVTT Technical Research Centre of Finland Ltd, Espoo, Finland.
Merja PenttiläVTT Technical Research Centre of Finland Ltd, Espoo, Finland.
Vassily HatzimanikatisEcole Polytechnique Federale de Lausanne (EPFL), 1015 Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent advancements in omics measurement technologies have led to an ever-increasing amount of available experimental data that necessitate systems-oriented methodologies for efficient and systematic integration of data into consistent large-scale kinetic models. These models can help us to uncover new insights into cellular physiology and also to assist in the rational design of bioreactor or fermentation processes. Optimization and Risk Analysis of Complex Living Entities (ORACLE) framework for the construction of large-scale kinetic models can be used as guidance for formulating alternative metabolic engineering strategies.

resultsWe used ORACLE in a metabolic engineering problem: improvement of the xylose uptake rate during mixed glucose-xylose consumption in a recombinant

conclusionsWe present a design-build-test cycle composed of modeling efforts and experiments with a glucose-xylose co-utilizing recombinant

Indexed as

BioethanolHexokinaseHXK2 deletionLarge-scale kinetic modelsMetabolic control analysisS. cerevisiaeXylose utilization

Identifiers

PMID28674555
PMCPMC5485749

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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.