Evidence map›Paper›PMID 42635128›Full record

ArticleNucleic acids research2026

A single-cell transcriptome atlas reveals paradoxical monoallelic expression of RNA editing and heterozygous SNPs.

Yuange Duan, Jiyao Liu, Shiwen Xu, Qiuhua Xie, Ling Ma, Fan Song, Li Tian, Wanzhi Cai, Qi Cao, Hu Li

Abstract read
In one paragraph

Article in Nucleic acids 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.

Yuange DuanState Key Laboratory of Agricultural and Forestry Biosecurity, MOA Key Lab of Pest Monitoring and Green Management, Department of Entomology, College of Plant Protection, China Agricultural University, Beijing 100193, China.ORCID 0000-0003-2311-9859
Jiyao LiuState Key Laboratory of Agricultural and Forestry Biosecurity, MOA Key Lab of Pest Monitoring and Green Management, Department of Entomology, College of Plant Protection, China Agricultural University, Beijing 100193, China.
Shiwen XuQinba State Key Laboratory of Biological Resources and Ecological Environment (Incubation), Shaanxi University of Technology, Hanzhong 723000, China.
Qiuhua XieState Key Laboratory of Agricultural and Forestry Biosecurity, MOA Key Lab of Pest Monitoring and Green Management, Department of Entomology, College of Plant Protection, China Agricultural University, Beijing 100193, China.
Ling MaState Key Laboratory of Agricultural and Forestry Biosecurity, MOA Key Lab of Pest Monitoring and Green Management, Department of Entomology, College of Plant Protection, China Agricultural University, Beijing 100193, China.ORCID 0009-0000-3752-8173
Fan SongState Key Laboratory of Agricultural and Forestry Biosecurity, MOA Key Lab of Pest Monitoring and Green Management, Department of Entomology, College of Plant Protection, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-2900-4174
Li TianState Key Laboratory of Agricultural and Forestry Biosecurity, MOA Key Lab of Pest Monitoring and Green Management, Department of Entomology, College of Plant Protection, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-7288-9676
Wanzhi CaiState Key Laboratory of Agricultural and Forestry Biosecurity, MOA Key Lab of Pest Monitoring and Green Management, Department of Entomology, College of Plant Protection, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-8620-0446
Qi CaoInternational Cancer Institute, Health Science Center, Peking University, Beijing 100191, China.ORCID 0000-0001-6571-0095
Hu LiState Key Laboratory of Agricultural and Forestry Biosecurity, MOA Key Lab of Pest Monitoring and Green Management, Department of Entomology, College of Plant Protection, China Agricultural University, Beijing 100193, China.ORCID 0000-0001-8590-1753

Funding

China Agricultural UniversityChinese Universities Scientific Fund 2026RC003Chinese Universities Scientific Fund 2026TC089
6 · The paper itself

Abstract

Both genomic mutations and RNA editing contribute to functional complexity and drive adaptive evolution. Single-cell profiling offers deep insight into the cis-regulatory mechanisms underlying these variations. Using 13 025 single-cell Smart-Seq libraries from whole-body Drosophila melanogaster, we unexpectedly found that 94.0% of adenosine-to-inosine RNA editing sites and 92.8% of heterozygous single nucleotide polymorphismss (SNPs) with sufficient "unique fragment support" exhibit binary expression (0 or 1) in a single cell. The genotypes of representative heterozygous SNPs were validated by Sanger sequencing. Meanwhile, binary RNA editing itself is logically questionable due to elusive mechanism, compromised condition specificity, and untenable heterozygote advantage. This fact that for most cases in Smart-Seq, only a single allele (out of the various haplotypes) is finally maintained per cell, raises the following concern. Regardless of the biological or technical explanations like monoallelic transcriptional burst, dropout, or amplification bias that might account for this binary expression pattern, our findings conservatively indicate that Smart-Seq may not be good at analyzing molecular diversity and that the results need to be interpreted with caution.

Indexed as

Polymorphism, Single NucleotideRNA EditingTranscriptomeAllelesAnimalsDrosophila melanogasterHeterozygoteSingle-Cell AnalysisSingle-Cell Gene Expression Analysis

Identifiers

PMID42635128
PMCPMC13501139

What OpenQuestion holds

Textmetadata
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.