tetano
Editor, Senior Moderator
Elife
. 2025 Feb 25:12:RP88468.
doi: 10.7554/eLife.88468. A statistical framework for quantifying the nuclear export rate of influenza viral mRNAs
Michi Miura[SUP] 1 [/SUP], Naho Kiuchi[SUP] 1 [/SUP], Siu-Ying Lau[SUP] 2 [/SUP], Bobo Wing-Yee Mok[SUP] 2 [/SUP], Hiroshi Ushirogawa[SUP] 1 [/SUP], Tadasuke Naito[SUP] 1 [/SUP], Honglin Chen[SUP] 2 [/SUP], Mineki Saito[SUP] 1 [/SUP]
Affiliations
Influenza A virus transcribes viral mRNAs from the eight segmented viral genome when it infects. The kinetics of viral transcription, nuclear export of viral transcripts, and their potential variation between the eight segments are poorly characterised. Here, we introduce a statistical framework for estimating the nuclear export rate of each segment from a snapshot of in situ mRNA localisation. This exploits the cell-to-cell variation at a single time point observed by an imaging-based in situ transcriptome assay. Using our model, we revealed the variation in the mRNA nuclear export rate of the eight viral segments. Notably, the two influenza viral antigens hemagglutinin and neuraminidase were the slowest segments in the nuclear export, suggesting the possibility that influenza A virus uses the nuclear retention of viral transcripts to delay the expression of antigenic molecules. Our framework presented in this study can be widely used for investigating the nuclear retention of nascent transcripts produced in a transcription burst.
Keywords: RNA imaging; RNA nuclear export; infectious disease; influenza virus; microbiology; transcription burst; viruses.
. 2025 Feb 25:12:RP88468.
doi: 10.7554/eLife.88468. A statistical framework for quantifying the nuclear export rate of influenza viral mRNAs
Michi Miura[SUP] 1 [/SUP], Naho Kiuchi[SUP] 1 [/SUP], Siu-Ying Lau[SUP] 2 [/SUP], Bobo Wing-Yee Mok[SUP] 2 [/SUP], Hiroshi Ushirogawa[SUP] 1 [/SUP], Tadasuke Naito[SUP] 1 [/SUP], Honglin Chen[SUP] 2 [/SUP], Mineki Saito[SUP] 1 [/SUP]
Affiliations
- PMID: 39996598
- DOI: 10.7554/eLife.88468
Influenza A virus transcribes viral mRNAs from the eight segmented viral genome when it infects. The kinetics of viral transcription, nuclear export of viral transcripts, and their potential variation between the eight segments are poorly characterised. Here, we introduce a statistical framework for estimating the nuclear export rate of each segment from a snapshot of in situ mRNA localisation. This exploits the cell-to-cell variation at a single time point observed by an imaging-based in situ transcriptome assay. Using our model, we revealed the variation in the mRNA nuclear export rate of the eight viral segments. Notably, the two influenza viral antigens hemagglutinin and neuraminidase were the slowest segments in the nuclear export, suggesting the possibility that influenza A virus uses the nuclear retention of viral transcripts to delay the expression of antigenic molecules. Our framework presented in this study can be widely used for investigating the nuclear retention of nascent transcripts produced in a transcription burst.
Keywords: RNA imaging; RNA nuclear export; infectious disease; influenza virus; microbiology; transcription burst; viruses.