Back

RT-nested and interfering-Primer PCR reveal prevalent isoform-specific A-to-I RNA editing in neuronal genes

Wang, Z.; Ni, Y.; Cai, W.; Li, H.; Duan, Y.

2026-05-17 molecular biology
10.64898/2026.05.15.725286 bioRxiv
Show abstract

BackgroundMetazoan adenosine-to-inosine (A-to-I) mRNA editing temporospatially diversifies the neuronal transcriptome and proteome. The limited read length from next-generation sequencing (NGS) constrains the quantification of the potentially differential editing levels across different splicing isoforms, restricting our understanding of the extent to which RNA editing contributes to molecular diversity and its interplay with splicing. MethodsWe employed reverse transcription nested PCR (RT-nPCR) and developed a novel interfering-Primer PCR (iPrimer PCR) technique to distinguish different transcripts of any gene. We selected multiple essential genes exhibiting RNA editing in coding sequences (CDSs) or untranslated regions (UTRs) for isoform-specific amplification and Sanger sequencing. ResultsNine different Adar isoforms together with pre-mRNA had distinct editing levels at the S>G auto-recoding site, which was predicted to have isoform-specific effects on catalytic activities. Although pre-mRNA editing might exert isoform-dependent promotion/suppression of splicing, closely located editing sites, such as those in neuronal genes qvr and stj, still exhibited high correlation in editing levels due to co-editing. iPrimer strategy further discovered differential recoding levels between the long/short 3UTR isoforms of gene jef. ConclusionsWe provide the first comprehensive solution for isoform-specific PCR amplification of any gene, enabling quantification of RNA editing level of different isoforms. Our results offer insights into how RNA editing interplays with splicing, and highlight its complicated role in expanding molecular diversity. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=79 SRC="FIGDIR/small/725286v1_ufig1.gif" ALT="Figure 1"> View larger version (17K): org.highwire.dtl.DTLVardef@1ebc82org.highwire.dtl.DTLVardef@1ea365dorg.highwire.dtl.DTLVardef@1971aceorg.highwire.dtl.DTLVardef@160d053_HPS_FORMAT_FIGEXP M_FIG C_FIG We developed isoform-specific PCR followed by Sanger sequencing, and achieved the quantification of differential RNA editing levels in different transcripts of a gene.

Matching journals

The top 12 journals account for 50% of the predicted probability mass.

1
Computational and Structural Biotechnology Journal
216 papers in training set
Top 0.1%
12.9%
2
Nucleic Acids Research
1128 papers in training set
Top 2%
9.4%
3
PLOS ONE
4510 papers in training set
Top 32%
4.4%
4
BMC Genomics
328 papers in training set
Top 0.7%
3.7%
5
Genomics, Proteomics & Bioinformatics
171 papers in training set
Top 2%
3.2%
6
Biomolecules
95 papers in training set
Top 0.1%
3.0%
7
RNA Biology
70 papers in training set
Top 0.1%
2.8%
8
ACS Omega
90 papers in training set
Top 0.8%
2.7%
9
iScience
1063 papers in training set
Top 8%
2.4%
10
Genomics
60 papers in training set
Top 0.6%
2.2%
11
PeerJ
261 papers in training set
Top 5%
1.9%
12
Genes
126 papers in training set
Top 0.7%
1.9%
50% of probability mass above
13
BMC Biology
248 papers in training set
Top 0.8%
1.9%
14
Scientific Reports
3102 papers in training set
Top 52%
1.9%
15
BMC Bioinformatics
383 papers in training set
Top 4%
1.9%
16
Cell Genomics
162 papers in training set
Top 3%
1.8%
17
Journal of Proteome Research
215 papers in training set
Top 1%
1.7%
18
Genome Biology
555 papers in training set
Top 4%
1.7%
19
Analytical Chemistry
205 papers in training set
Top 1%
1.7%
20
Frontiers in Genetics
197 papers in training set
Top 6%
1.4%
21
Life Science Alliance
263 papers in training set
Top 0.6%
1.3%
22
International Journal of Molecular Sciences
453 papers in training set
Top 11%
1.1%
23
NAR Molecular Medicine
18 papers in training set
Top 0.1%
1.0%
24
Journal of Molecular Biology
217 papers in training set
Top 3%
0.9%
25
Epigenetics
43 papers in training set
Top 0.7%
0.9%
26
Journal of Translational Medicine
46 papers in training set
Top 2%
0.8%
27
Journal of Genetics and Genomics
36 papers in training set
Top 2%
0.8%
28
Nature Communications
4913 papers in training set
Top 61%
0.8%
29
Cells
232 papers in training set
Top 6%
0.8%
30
Briefings in Bioinformatics
326 papers in training set
Top 6%
0.8%