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Viral circRNA identification in two HTLV-1 infection models.

Title: Viral circRNA identification in two HTLV-1 infection models.
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) CircRNAs mapped to the HTLV-1 genome of the productively-infected cell line HUT102. (B) CircRNAs mapped to the HTLV-1 genome of the productively-infected cell line SLB1. Relevant ORFs were indicated under the graphs on the same scale as the viral genome. For graphical purposes, the splicings of the tax and rex genes were not depicted. The Y axis indicates the abundance of unique circRNAs in reads mapping the backsplice junctions per billion of reads mapping on the HTLV-1 viral genome. (TIF)
Document Type: still image
Language: unknown
DOI: 10.1371/journal.ppat.1013448.s003
Availability: https://doi.org/10.1371/journal.ppat.1013448.s003; https://figshare.com/articles/figure/Viral_circRNA_identification_in_two_HTLV-1_infection_models_/30105311
Rights: CC BY 4.0
Accession Number: edsbas.EE35EB4D
Database: BASE