Evidence map›Paper›PMID 41459189›Full record

ArticleSynthetic and systems biotechnology2026

Evaluation of synthetic post-transcription regulatory sequences reveals design principle to enhance mRNA stability and translation efficiency.

Jin-Peng Zhang, Zi-Lun Mei, Jia-Wei Ren, Xiao-Mei Zhang, Jin-Song Gong, Guo-Qiang Xu, Hui Li, Xiao-Juan Zhang, Zheng-Hong Xu

Abstract read
In one paragraph

Article in Synthetic and systems biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Jin-Peng ZhangSchool of Biotechnology and Key Laboratory of Industrial Biotechnology of Ministry of Education, Jiangnan University, Wuxi, 214122, PR China.
Zi-Lun MeiSchool of Biotechnology and Key Laboratory of Industrial Biotechnology of Ministry of Education, Jiangnan University, Wuxi, 214122, PR China.
Jia-Wei RenSchool of Biotechnology and Key Laboratory of Industrial Biotechnology of Ministry of Education, Jiangnan University, Wuxi, 214122, PR China.
Xiao-Mei ZhangSchool of Life Science and Health Engineering, Jiangnan University, Wuxi, 214122, PR China.
Jin-Song GongSchool of Life Science and Health Engineering, Jiangnan University, Wuxi, 214122, PR China.
Guo-Qiang XuSchool of Biotechnology and Key Laboratory of Industrial Biotechnology of Ministry of Education, Jiangnan University, Wuxi, 214122, PR China.
Hui LiSchool of Life Science and Health Engineering, Jiangnan University, Wuxi, 214122, PR China.
Xiao-Juan ZhangSchool of Biotechnology and Key Laboratory of Industrial Biotechnology of Ministry of Education, Jiangnan University, Wuxi, 214122, PR China.
Zheng-Hong XuSchool of Biotechnology and Key Laboratory of Industrial Biotechnology of Ministry of Education, Jiangnan University, Wuxi, 214122, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Shine-Dalgarno (SD) sequence and its adjacent flanking regions, including the translation standby site (TSS) and the N-terminal coding sequence (NCS), play critical roles in regulating ribosome recruitment, translation efficiency, and mRNA stability against RNase degradation. However, structure-activity relationships governing these regions remain poorly characterized, and their functional interplay introduces substantial complexity. In this study, we employed one-pot technology to build a post-transcriptional regulatory component (PTRC) library of 576 variants to clarify the relationship between sequence variants and both protein expression and mRNA levels via high-throughput sequencing. Our results show that although unstructured TSSs do not enhance mRNA stability, they markedly increase translation efficiency, causing a 16 %-100 % rise in protein expression. In contrast, structured TSSs increase mRNA levels by 43 %-90 %. Additionally, highly conserved SD sequences boost translation efficiency by up to 10 % and mRNA abundance by up to 12 %. Moreover, it was found that optimized linear N-terminal coding sequence (NCS) positively affects protein expression and mRNA levels. The effects of these optimized regulatory components were verified in the expression control of the

Indexed as

5′ mRNATranscript abundanceTranslation efficiency

Identifiers

PMID41459189
PMCPMC12743556

What OpenQuestion holds

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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.