Evidence map›Paper›PMID 42642425›Full record

ArticleNature communications2026

Finding the perfect promoter for Cas9 in homing gene drives using single cell transcriptome data.

Yingke Wu, Yunchen Xia, Ziyin Yao, Weizhe Chen, Xihua Jia, Nan Liang, Jackson Champer

Abstract read
In one paragraph

Article in Nature communications, 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

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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

7 authors.

Yingke WuCenter for Bioinformatics, School of Life Sciences, Center for Life Sciences, Peking University, Beijing, China.
Yunchen XiaCenter for Bioinformatics, School of Life Sciences, Center for Life Sciences, Peking University, Beijing, China.
Ziyin YaoCenter for Bioinformatics, School of Life Sciences, Center for Life Sciences, Peking University, Beijing, China.
Weizhe ChenCenter for Bioinformatics, School of Life Sciences, Center for Life Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0009-0000-6239-4613
Xihua JiaCenter for Bioinformatics, School of Life Sciences, Center for Life Sciences, Peking University, Beijing, China.
Nan LiangCenter for Bioinformatics, School of Life Sciences, Center for Life Sciences, Peking University, Beijing, China. liangn.personal@qq.com.
Jackson ChamperCenter for Bioinformatics, School of Life Sciences, Center for Life Sciences, Peking University, Beijing, China. jchamper@pku.edu.cn.ORCID http://orcid.org/0000-0002-3814-3774

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32270672
6 · The paper itself

Abstract

Gene drive can modify or suppress vector populations by spreading drive alleles. In CRISPR homing drives, regulating Cas9 expression has been effective for improving drive performance, but selecting suitable promoters is often a major challenge. Here, we evaluate 35 Cas9 constructs with distinct promoters in Drosophila melanogaster and identify associations between drive performance and single-cell RNA expression patterns of the promoter-associated genes. Our results indicate that higher drive conversion is associated with elevated expression of the promoter-associated gene in reproductive cells, but embryo resistance allele formation correlates with excessive female germline expression. For males, early germline expression produces superior performance. Thus, optimal drive performance requires restricting Cas9 expression to a tight quantitative and spatiotemporal window. Additionally, we find that an in situ construct significantly reduces potentially harmful somatic expression. Based on these results, we propose criteria for selecting promoters, providing a rationale and guidance for optimization of homing gene drives.

Indexed as

CRISPR-Associated Protein 9CRISPR-Cas SystemsDrosophila melanogasterPromoter Regions, GeneticTranscriptomeAllelesAnimalsFemaleMaleSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisCRISPR-Associated Protein 9

Identifiers

PMID42642425
PMCPMC13507122

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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.