Evidence map›Paper›PMID 42108303›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Omics Technologies-Driven Research and Applications of Synthetic Biology.

Dai-Xu Wei, Zheng-Dong Qi, Weixu Cai, Zhimeng Yuan, Jiahao Zhang

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 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

5 authors.

Dai-Xu WeiClinical Medical College and Affiliated Hospital of Chengdu University, Chengdu University, Chengdu, Sichuan, China. weidaixu@cdu.edu.cn.ORCID https://orcid.org/0000-0003-4893-1579
Zheng-Dong QiClinical Medical College and Affiliated Hospital of Chengdu University, Chengdu University, Chengdu, Sichuan, China.
Weixu CaiClinical Medical College and Affiliated Hospital of Chengdu University, Chengdu University, Chengdu, Sichuan, China.
Zhimeng YuanClinical Medical College and Affiliated Hospital of Chengdu University, Chengdu University, Chengdu, Sichuan, China.
Jiahao ZhangClinical Medical College and Affiliated Hospital of Chengdu University, Chengdu University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a core discipline for the engineering modification of biological systems, synthetic biology is currently confronted with key challenges such as poor functional stability of synthetic communities, insufficient metabolic pathway adaptability of chassis strains, and difficulties in simulating interactions in natural microecosystems. Traditional single technologies fail to achieve precise design and regulation of synthetic biological systems. However, microbiomics, which integrates multi-omics, spatial omics, and culturomics, provides a full-chain solution for synthetic biology covering "functional prediction-dynamic regulation-functional verification-community construction" by decoding multidimensional molecular information, spatial distribution patterns, and cultivation interaction mechanisms of biological systems. This chapter systematically elaborates on how integrated multi-omics guides the optimization of metabolic pathways in synthetic biological systems, how spatial omics deciphers the spatial interaction mechanisms of synthetic communities, and how innovations in culturomics break through the cultivation bottlenecks of synthetic strains. Ultimately, it realizes the in-depth integration of omics technologies and synthetic biology, thereby promoting the industrial application of synthetic biological systems in fields such as biomanufacturing, environmental remediation, and medical health.

Indexed as

GenomicsSynthetic BiologyMetabolic Networks and PathwaysMetabolomicsMultiomicsGenome-guided cultivationIntegrated multi-omicsLong-read sequencingMicrobial cocultureSpatial omicsSynthetic biology

Identifiers

What OpenQuestion holds

Textmetadata
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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.