Viral circRNA identification from an IAV infection.
| Title: | Viral circRNA identification from an IAV infection. |
|---|---|
| Authors: | Alexis S. Chasseur; Maxime Bellefroid; Mathilde Galais; Meijiao Gong; Pierre Lombard; Sarah Mathieu; Amandine Pecquet; Estelle Plant; Camille Ponsard; Laure Vreux; Carlo Yague-Sanz; Benjamin G. Dewals; Nicolas A. Gillet; Benoît Muylkens; Carine M. Van Lint; Damien Coupeau |
| Publication Year: | 2025 |
| Subject Terms: | Medicine; Microbiology; Genetics; Molecular Biology; Evolutionary Biology; Immunology; Infectious Diseases; Virology; Biological Sciences not elsewhere classified; +non%22">xlink "> non; unconventional splicing mechanisms; sanger sequencings validated; recent attention focused; obtained novel insights; initially anticipated due; identify backsplicing events; human pathogens belonging; existing datasets encompassing; conserved eukaryotic patterns; coding rnas play; viral infection cycles; viral genomes include; unique viral characteristics; rna sequencing data; developed bioinformatic tool; various viral families; bioinformatic pipeline tailored; families |
| Description: | (A-H) A549 cells were infected with the H1N1 strain of IAV in the study of Min et al. , 2023. The eight segments of the virus were processed through vCircTrappist and depicted in the Figure. The Y axis indicates the abundance of unique circRNAs in reads mapping the backsplice junctions per billion of reads mapping on the viral IAV H1N1 genome. (TIF) |
| Document Type: | still image |
| Language: | unknown |
| Relation: | https://figshare.com/articles/figure/Viral_circRNA_identification_from_an_IAV_infection_/30105317 |
| DOI: | 10.1371/journal.ppat.1013448.s005 |
| Availability: | https://doi.org/10.1371/journal.ppat.1013448.s005; https://figshare.com/articles/figure/Viral_circRNA_identification_from_an_IAV_infection_/30105317 |
| Rights: | CC BY 4.0 |
| Accession Number: | edsbas.7564E78 |
| Database: | BASE |