Evidence map›Paper›PMID 25956650›Full record

ArticleNucleic acids research2015

YeastFab: the design and construction of standard biological parts for metabolic engineering in Saccharomyces cerevisiae.

Yakun Guo, Junkai Dong, Tong Zhou, Jamie Auxillos, Tianyi Li, Weimin Zhang, Lihui Wang, Yue Shen, Yisha Luo, Yijing Zheng and 5 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

63 citing papers in PubMed, 131 citations in OpenAlex.

  1. Article
  2. Review
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  10. Review
  11. Probiotic-Based Materials as Living Therapeutics.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
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  13. Engineering COInternational journal of molecular sciences · 2025
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  19. Recent technology advancements in large-scale DNA assembly.Quantitative biology (Beijing, China) · 2025
    Article
  20. Advancements in Golden Gate Cloning: A Comprehensive Review.Methods in molecular biology (Clifton, N.J.) · 2025
    Review

3 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

15 authors at 2 institutions in 2 countries.

Yakun GuoMOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China.
Junkai DongMOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China.
Tong ZhouMOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China.
Jamie AuxillosSchool of Biological Sciences, The King's Buildings, University of Edinburgh, Edinburgh EH9 3BF, United Kingdom.
Tianyi LiMOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China.
Weimin ZhangMOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China.
Lihui WangMOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China.
Yue ShenSchool of Biological Sciences, The King's Buildings, University of Edinburgh, Edinburgh EH9 3BF, United Kingdom.
Yisha LuoSchool of Biological Sciences, The King's Buildings, University of Edinburgh, Edinburgh EH9 3BF, United Kingdom.
Yijing ZhengSchool of Biological Sciences, The King's Buildings, University of Edinburgh, Edinburgh EH9 3BF, United Kingdom.
Jiwei LinWuxi Qinglan Biotechnology Inc., Yixing, Jiangsu 214200, China.
Guo-Qiang ChenMOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China.
Qingyu WuMOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China.
Yizhi CaiSchool of Biological Sciences, The King's Buildings, University of Edinburgh, Edinburgh EH9 3BF, United Kingdom yizhi.cai@ed.ac.uk.
Junbiao DaiMOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China jbdai@biomed.tsinghua.edu.cn.
Tsinghua University · CNUniversity of Edinburgh · GB

Funding

Biotechnology and Biological Sciences Research Council BB/M005690/1
6 · The paper itself

Abstract

It is a routine task in metabolic engineering to introduce multicomponent pathways into a heterologous host for production of metabolites. However, this process sometimes may take weeks to months due to the lack of standardized genetic tools. Here, we present a method for the design and construction of biological parts based on the native genes and regulatory elements in Saccharomyces cerevisiae. We have developed highly efficient protocols (termed YeastFab Assembly) to synthesize these genetic elements as standardized biological parts, which can be used to assemble transcriptional units in a single-tube reaction. In addition, standardized characterization assays are developed using reporter constructs to calibrate the function of promoters. Furthermore, the assembled transcription units can be either assayed individually or applied to construct multi-gene metabolic pathways, which targets a genomic locus or a receiving plasmid effectively, through a simple in vitro reaction. Finally, using β-carotene biosynthesis pathway as an example, we demonstrate that our method allows us not only to construct and test a metabolic pathway in several days, but also to optimize the production through combinatorial assembly of a pathway using hundreds of regulatory biological parts.

Indexed as

beta CaroteneMetabolic EngineeringMetabolic Networks and PathwaysSaccharomyces cerevisiaeTranscription, Geneticbeta Carotene

Identifiers

PMID25956650
PMCPMC4513847
OpenAlexW1861787140

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.