Evidence map›Paper›PMID 28092657›Full record

ArticleNature biotechnology2017

Lipid production in Yarrowia lipolytica is maximized by engineering cytosolic redox metabolism.

Kangjian Qiao, Thomas M Wasylenko, Kang Zhou, Peng Xu, Gregory Stephanopoulos

Abstract read
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In one paragraph

Article in Nature biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 155 papers.

0numbers the graph read from it
0cells of the map it votes in
155citing papers in PubMed
23.3field-weighted citation impact, top 1% 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

155 citing papers in PubMed, 475 citations in OpenAlex.

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  14. In Vivo DNA Assembly inACS synthetic biology · 2025
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  15. Enhancing abscisic acid production inSynthetic and systems biotechnology · 2025
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  16. Engineering yeast for tailored fatty acid profiles.Applied microbiology and biotechnology · 2025
    Review
  17. Metabolic Engineering ofACS engineering Au · 2025
    Article
  18. Article
  19. Article
  20. Article

95 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Kangjian QiaoDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Thomas M WasylenkoDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Kang ZhouDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Peng XuDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.ORCID 0000-0002-4857-9483
Gregory StephanopoulosDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Massachusetts Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial factories have been engineered to produce lipids from carbohydrate feedstocks for production of biofuels and oleochemicals. However, even the best yields obtained to date are insufficient for commercial lipid production. To maximize the capture of electrons generated from substrate catabolism and thus increase substrate-to-product yields, we engineered 13 strains of Yarrowia lipolytica with synthetic pathways converting glycolytic NADH into the lipid biosynthetic precursors NADPH or acetyl-CoA. A quantitative model was established and identified the yield of the lipid pathway as a crucial determinant of overall process yield. The best engineered strain achieved a productivity of 1.2 g/L/h and a process yield of 0.27 g-fatty acid methyl esters/g-glucose, which constitutes a 25% improvement over previously engineered yeast strains. Oxygen requirements of our highest producer were reduced owing to decreased NADH oxidization by aerobic respiration. We show that redox engineering could enable commercialization of microbial carbohydrate-based lipid production.

Indexed as

Computer SimulationCytosolFungal ProteinsGenetic EnhancementLipidsModels, BiologicalOxidation-ReductionYarrowiaFungal ProteinsLipids

Identifiers

PMID28092657
OpenAlexW2572443119

What OpenQuestion holds

Textmetadata
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.