Welcome to the FluHit data exploration Shiny web interface


Influenza A viruses (IAV) use diverse mechanisms to interfere with cellular gene expression and thus limit the antiviral responses and/or promote viral replication. Although many RNAseq studies have documented IAV-induced changes in host mRNA abundance, few were designed to allow an accurate quantification of changes in host mRNA splicing. Here we show that IAV infection of human lung cells induces widespread alterations of cellular splicing, with an overall increase in exon inclusion and decrease in intron retention. Over half of the mRNAs that show differential splicing undergo no significant changes in abundance or in their 3’ end termination site, suggesting that IAV can directly manipulate cellular splicing independently of other transcriptional changes. Focusing on a subset of IAV-sensitive alternative splicing events, we found that most are conserved across distinct cell lines and viral subtypes, and are specific to IAV infection as they are not observed upon infection with VSV, induction of the interferon response or induction of an osmotic stress. Finally , cross-analysis of the alternative splicing profiles of IAV-infected and RED-depleted cells demonstrates a partial phenocopying of the RED-knock down phenotype in infected cells, suggesting that hijacking of the RED factor by IAVs to promote splicing of their own mRNAs could account for a minor subset of splicing changes in infected cells.

This Shiny Interface allow to explore the results presented in Ashraf et al (2020). Complete results of the different transcriptomic analysis are available: mutltivariate analysis (PCA), alternative splicing analysis with KisSplice, differential expression with DESeq2 and readthrough analysis.




Description of the data

The dataset is comprised of 6 conditions (2 infection conditions x 3 transfection conditions) with 4 biological replicates each (total of 24 samples).




Author

Clara Benoit-Pilven - clara.benoit-pilven@helsinki.fi - Institute for Molecular Medicine – Helsinki - Finland


Citation

Ashraf U*, Benoit-Pilven C*, Navratil V, Fournier G, Munier S, Sismeiro O, Coppée JY, Lacroix V, Naffakh N, (2020) Influenza virus infection induces widespread alterations of host cell splicing. (manuscript in preparation)

* co-first authors




Principal component analysis (PCA)

Plots presented here are results from PCA analysis done with ade4 R package.

The first step is to choose a dataset.

Description of the chosen comparison:

Alternative splicing analysis with KisSplice

Table and plots presented here are results from KisSplice analysis.

The first step is to choose a dataset.

Description of the chosen dataset :

By choosing a second dataset, you can compare the results of 2 analysis.

Description of the second dataset :

Expression analysis

Table and plots presented here are results from DESeq2 analysis.

The first step is to choose a dataset.

Description of the chosen dataset :


          

Readthrough analysis

Table and plots presented here are results from the readthrough (RT) analysis. Only the comparison U virus VS mock was analysed for the readthrough.