Philippe Paget‐Bailly

ORCID: 0000-0003-2770-0536
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About
Contact & Profiles
Research Areas
  • Cervical Cancer and HPV Research
  • RNA Research and Splicing
  • RNA modifications and cancer
  • Molecular Biology Techniques and Applications
  • RNA and protein synthesis mechanisms
  • Viral Infections and Immunology Research
  • Hepatitis B Virus Studies
  • T-cell and Retrovirus Studies
  • Reproductive tract infections research
  • Virus-based gene therapy research
  • Genital Health and Disease
  • Epigenetics and DNA Methylation
  • Parasitic Infections and Diagnostics
  • Cancer-related gene regulation
  • Genetic factors in colorectal cancer
  • Cancer-related molecular mechanisms research

Centre National de la Recherche Scientifique
2024-2025

Maladies Infectieuses et Vecteurs: Écologie, Génétique, Évolution et Contrôle
2024-2025

Institut de Recherche pour le Développement
2024-2025

Université de Montpellier
2024-2025

Université Bourgogne Franche-Comté
2021

Université de franche-comté
2021

Inserm
2021

Abstract Biochemistry textbooks describe eukaryotic mRNAs as monocistronic. However, increasing evidence reveals the widespread presence and translation of upstream open reading frames preceding “main” ORF. DNA RNA viruses infecting eukaryotes often produce polycistronic have evolved multiple ways manipulating host's machinery. Here, we introduce an experimental model to study gene expression regulation from virus‐like bicistronic in human cells. The consists a short ORF reporter downstream...

10.1002/pro.70036 article EN cc-by-nc-nd Protein Science 2025-01-22

Abstract High-risk Human Papillomavirus infections are responsible for anogenital and oropharyngeal cancers. Alternative splicing is an important mechanism controlling HPV16 gene expression. Modulation in the splice pattern leads to polycistronic early transcripts encoding a full length E6 oncoprotein or truncated proteins, commonly named E6*. Spliced E6*I most abundant RNAs produced HPV-related To date, biological function of isoform remains controversial. In this study, we identified, by...

10.1038/s41598-019-42393-6 article EN cc-by Scientific Reports 2019-04-11

Abstract In this work, we present a straightforward model to study gene expression regulation from virus-like bicistronic mRNAs in human cells, composed by short shble upstream ORF and reporter egfp downstream ORF. We have engineered thirteen synonymous versions of the explore large parameter space compositional folding features, as well differences propensity undergo splicing. Our experimental focuses on control modulation translation elongation their effects translation: i) regarding...

10.1101/2024.04.26.591296 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-04-26

HPV16 is the most carcinogenic human papillomavirus and causes >50% of cervical cancers, majority anal cancers 30% oropharyngeal squamous cell carcinomas. HPV carcinogenesis relies on continuous expression two main viral oncoproteins E6 E7 that target >150 cellular proteins. Among them, epigenetic modifiers, including DNA Methyl Transferases (DNMT), are dysregulated, promoting an aberrant methylation pattern in HPV‑positive cancer cells. It has been previously reported treatment cells with...

10.3892/ol.2019.11158 article EN Oncology Letters 2019-11-28

High-risk human papillomavirus (hrHPVs), particularly HPV16 and HPV18, are the etiologic factors of ano-genital cancers some head neck squamous cell carcinomas (HNSCCs). Viral E6 E7 oncoproteins, controlled at both transcriptional post-transcriptional levels, drive hrHPVs-induced carcinogenesis. In present study, we investigated implication DEAD-box helicase eukaryotic translation initiation factor 4A3 (eIF4A3,) an Exon Junction Complex factor, in regulation gene expression. Our data...

10.1042/bsr20203488 article EN Bioscience Reports 2021-03-24

Abstract Human papillomavirus (HPV) 16 is the most oncogenic biological agents for humans. However, essential quantitative aspects of its infection cycle remain inadequately characterized. Specifically, proportion infected cells and viral copy number per cell in cervical smears are not well understood. To address this, we employed a combination limiting dilution techniques Bayesian statistics on routine to estimate frequency cell. Our methodology was initially validated through numerical...

10.1101/2024.06.13.24308781 preprint EN cc-by-nc medRxiv (Cold Spring Harbor Laboratory) 2024-06-14
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