Evidence map›Paper›PMID 42747189›Full record

ReviewFEMS yeast research2026

Biological parts in yeast synthetic biology: from regulatory elements to predictive design platforms.

Sujin Hong, Ho Bum Kang, Min-Jun Seong, Eunha Jeon, Sumin Seo, Seung-Gyun Woo, Eun Joong Oh, Young-Kyoung Park, Youngjoon Lee, Dae-Hee Lee

Abstract readReview
In one paragraph

Review in FEMS yeast research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Sujin HongSynthetic Biology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Ho Bum KangSynthetic Biology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Min-Jun SeongSynthetic Biology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Eunha JeonSynthetic Biology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Sumin SeoSynthetic Biology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Seung-Gyun WooDepartment of Biological Science and Biotechnology, Hannam University, Daejeon 34054, Republic of Korea.
Eun Joong OhDepartment of Food Science, Purdue University, West Lafayette, IN 47907, United States.
Young-Kyoung ParkUniversité Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, Jouy-en-Josas 78352, France.
Youngjoon LeeKorea Biofoundry, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.
Dae-Hee LeeSynthetic Biology Research Center, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon 34141, Republic of Korea.ORCID 0000-0002-0423-9057

Funding

KRIBB KGM1302612Ministry of Health and Welfare RS-2024-00468410Ministry of Science and ICT, South KoreaNational Research Foundation of Korea RS-2018-NR029581National Research Foundation of Korea RS-2024-00445145National Research Foundation of Korea RS-2024-00509115
6 · The paper itself

Abstract

Yeasts, particularly Saccharomyces cerevisiae, are important eukaryotic chassis for synthetic biology because of their tractable genetics, versatile toolkits, and broad utility in metabolic engineering and functional genomics. Progress in this field has been driven by biological parts that enable programmable control of gene expression and cellular behavior. Early efforts focused mainly on promoters, terminators, and other regulatory elements for tuning individual genes. However, as engineering expanded to multigene pathways, genetic circuits, and dynamic regulatory systems, the limits of part-centric design became clear. Part performance is often shaped by genomic context, chromatin state, host physiology, and interactions with other components, which restricts modularity and predictability. In response, yeast synthetic biology is shifting toward integrated design frameworks combining multilayer regulation, standardized assembly, automated experimentation, and computational modeling. This review provides an integrated perspective on the evolution of biological parts across DNA-, RNA-, and protein-level regulation, connecting these advances with assembly frameworks, biofoundries, and machine learning to trace the trajectory from part-centric engineering toward predictive, system-level design in yeast synthetic biology.

Indexed as

Regulatory Sequences, Nucleic AcidSaccharomyces cerevisiaeSynthetic BiologyGene Expression Regulation, FungalGene Regulatory NetworksMetabolic Engineeringbiofoundrybiological partsmachine learningyeast synthetic biology

Identifiers

PMID42747189
PMCPMC13618442

What OpenQuestion holds

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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.