Biology subjects

Bourgeois, C.

Publications and source records attributed to Bourgeois, C..

8 recordsLinked to original sources

bioRxiv2025

Ultrasensitive quantitative protein detection using Eu-ion doped vanadate nanoparticles

Disease prevention, diagnosis, and treatment monitoring often require ultrasensitive (sub-)femtomolar biomarker detection and quantification. While standard ELISA assays yield picomolar sensitivity, existing ultrasensitive approaches reach fM, aM or even zM sensitivity. This, however, is obtained at the expense of increased complexity and cost which hampers their biomedical applications. We propose a novel approach, NLISA, combining ultrasensitive, fM/sub-fM, quantitative detection with simplicity and ease of use based on 38-nm YVO4:Eu (20%) crystalline nanoparticles used as detection probes. These particles possess an extremely strong absorption in the UV leading to bright Eu3+-ion emission. We developed a transportable, multi-well plate reader providing LED excitation and detection with a photomultiplier enabling detection down to 16,000 nanoparticle probes/well. We obtained sensitivity gain factors with respect to ELISA ranging from 65 to 35,000 for insulin, IFN-{gamma}, and HIV-GAG-p24 while maintaining the same antibodies. We demonstrated femtomolar LOD and a dynamic range of 4-5 orders of magnitude and NLISA efficiency for HIV-positive patient diagnosis. This approach for straightforward, ultrasensitive polypeptide/protein detection is easily generalizable paving the way for a new generation of diagnostic tests.

bioengineering↗

bioRxiv2024

Bolero: a dedicated workflow to decipher Hepatitis B virus transcriptome from long-reads sequencing method coupled to 5RACE amplification of transcripts

Hepatitis B virus (HBV) represents a major health burden, as it affects close to 290 million people worldwide. Although prophylactic vaccines are available, current therapeutic compounds do not usually achieve HBV eradication due to the persistence of the covalently closed circular (ccc)DNA that serves as viral reservoir. Thus, novel biomarkers that reliably reflect intrahepatic cccDNA transcriptional activity would be highly relevant for the monitoring of infected individuals, as well as the evaluation of new treatments targeting HBV. In this context, the development of 5 rapid amplification of complementary DNA ends (5RACE) as a strategy to capture and amplify full-length HBV RNAs, coupled with long-read and full-length sequencing approaches (e.g., Oxford Nanopore Technology), has recently enabled the detailed characterization of these molecules. The analysis of such data requires a dedicated bioinformatics pipeline due to the highly condensed nature of the HBV genome, which is characterized by the production of multiple transcripts and spliced variants that overlap each other. Here, we present Bolero, a computational method and built-in workflow designed to handle HBV sequencing data and evaluate the relative expression of viral RNAs and their spliced variants. The analysis of HBV-infected cell lines demonstrates that our bioinformatics pipeline is efficient for the identification and quantification of individual HBV mRNAs. Thus, Bolero represents a useful tool to study cccDNA transcriptional activity and the heterogeneity of HBV RNA spliced variants. Author summaryTranscriptomic analyses have brought comprehensive insights in the mechanisms controlling gene expression. Moreover, with the recent advances in sequencing technologies and computational methods, researchers can nowadays not only quantify gene expression, but also study alternative splicing, polyadenylation, transcription initiation, and even rare phenomena such as distant gene fusions. However, conventional analysis tools still rely heavily on the assumption of linear genomes with minimal overlap between open reading frames, rendering them insufficient for studying complex viruses such as hepatitis B virus (HBV). Unlike typical linear genomes, HBV genome consists in a circular DNA molecule, which results in an extensive sequence overlap between its transcripts. To tackle these challenges, we developed an innovative approach coupling 5 rapid amplification of complementary DNA ends (5RACE) and long-read sequencing to comprehensively explore the HBV transcriptome. Furthermore, we developed Bolero, a computational method designed to handle the peculiarities of HBV sequencing data, which allows a detailed characterization of the HBV transcriptome.

bioinformatics↗

bioRxiv2024

Helicases DDX5 and DDX17 promote Hepatitis B Virus transcription termination heterogeneity in infected human hepatocytes

Background & AimsTranscription termination fine tunes gene expression and contributes to specify the function of RNAs in eukaryotic cells. Transcription termination of hepatitis B virus (HBV) is subjected to the recognition of the canonical polyadenylation signal (cPAS) common to all viral transcripts. The regulation of the usage of this cPAS and its impact on viral gene expression and replication is currently unknown. Approach & ResultsTo unravel the regulation of HBV transcript termination, we implemented a 3 RACE-PCR assay coupled to single molecule sequencing both in in vitro infected hepatocytes and in chronically infected patients. The detection of a previously unidentified transcriptional readthrough indicated that the cPAS was not systematically recognized during HBV replication in vitro and in vivo. Gene expression downregulation experiments demonstrated a role for the RNA helicases DDX5 and DDX17 in promoting viral transcriptional readthrough, which was, in turn, associated to HBV RNA destabilization and decreased HBx protein expression. RNA and chromatin immunoprecipitation, together with mutation of cPAS sequence suggested a direct role of DDX5 and DDX17 in functionally linking cPAS recognition to transcriptional readthrough, HBV RNA stability and replication. ConclusionsOur findings identify DDX5 and DDX17 as crucial determinants for HBV transcriptional fidelity and as host restriction factors for HBV replication.

molecular biology↗

bioRxiv2023

Gene-to-Gene Coordinated Regulation of Transcription and Alternative splicing by 3D Chromatin Remodeling upon NF-κB activation

The p65/RelA factor of NF-{kappa}B plays a pivotal role in coordinating gene expression in response to diverse stimuli, including viral infections. At the chromatin level, p65/RelA regulates gene transcription and alternative splicing (AS) through promoter enrichment and genomic exon occupancy, respectively. However, the mechanisms underlying the coordination of these processes across distinct genes remain elusive. In this study, we employed the HTLV-1 Tax oncoprotein, a potent activator of NF-{kappa}B, to investigate the integrative relationship between 3D chromatin architecture, NF-{kappa}B-regulated transcription and AS. Our analysis revealed that Tax induces a pronounced reorganization of the 3D genome, resulting in the formation of multigene complexes that comprise genes regulated either transcriptionally or through AS. Notably, we found that the Tax-induced gene-gene contact between the two master genes NFKBIA and RELA is associated with their differential regulation in gene expression and AS, respectively. Through dCas9-mediated approaches, we demonstrated that NFKBIA-RELA interaction is required for AS regulation and is caused by an intragenic enrichment of p65/RelA on RELA. Our findings shed light on new regulatory mechanisms upon HTLV-1 Tax and underscore the integral role of p65/RelA in coordinated regulation of NF-{kappa}B-responsive genes at both transcriptional and AS levels in the context of the 3D genome.

molecular biology↗

bioRxiv2019

Intragenic recruitment of NF-κB drives alternative splicing modifications upon activation by the viral oncogene TAX of HTLV-1.

The chronic NF-{kappa}B activation in inflammation and cancer has long been linked to persistent activation of NF-{kappa}B responsive gene promoters. However, NF-{kappa}B factors such as RELA also massively bind to gene bodies. Here, we demonstrate that the recruitment of RELA to intragenic regions regulates alternative splicing upon activation of NF-{kappa}B by the viral oncogene TAX of HTLV-1. Integrative analysis of RNA splicing and chromatin occupancy, combined with chromatin tethering assays, demonstrate that DNA-bound RELA interacts with and recruits the splicing regulator DDX17 in a NF-kB activation-dependent manner, leading to alternative splicing of target exons thanks to DDX17 RNA helicase activity. This NF-kB/DDX17 axis accounts for a major part of the TAX-induced alternative splicing landscape that mainly affects genes involved in oncogenic pathways. Collectively, our results demonstrate a physical and direct involvement of NF-{kappa}B in alternative splicing regulation, which significantly revisits our knowledge of HTLV-1 pathogenesis and other NF-{kappa}B-related diseases.

molecular biology↗

bioRxiv2019

Interplay between gene nucleotide composition bias and splicing

To characterize the rules governing exon recognition during splicing, we analysed dozens of RNA-seq datasets and identified ~3,200 GC-rich exons and ~4,000 AT-rich exons whose inclusion depends on different sets of splicing factors. We show that GC-rich exons have predicted RNA secondary structures at 5-ss, and are dependent on U1 snRNP-associated proteins. In contrast, AT-rich exons have a large number of branchpoints and SF1-or U2AF2-binding sites and are dependent on U2 snRNP-associated proteins. Nucleotide composition bias also influences local chromatin organization, with consequences for exon recognition during splicing. As the GC content of exons correlates with that of their hosting genes, isochores and topologically-associated domains, we propose that regional nucleotide composition bias leaves a local footprint at the exon level and induces constraints during splicing that can be alleviated by local chromatin organization and recruitment of specific splicing factors. Therefore, nucleotide composition bias establishes a direct link between genome organization and local regulatory processes, like alternative splicing.

molecular biology↗

bioRxiv2018

Interplay between coding and exonic splicing regulatory sequences

The inclusion of exons during the splicing process depends on the binding of splicing factors to short low-complexity regulatory sequences. The relationship between exonic splicing regulatory sequences and coding sequences is still poorly understood. We demonstrate that exons that are coregulated by any splicing factor share a similar nucleotide composition bias. We next demonstrate that coregulated exons preferentially code for amino acids with similar physicochemical properties because of the non-randomness properties of the genetic code. Indeed, amino acids sharing physicochemical properties correspond to codons that have the same nucleotide composition bias. These observations reveal an unanticipated bidirectional interplay between the physicochemical features encoded by exons and exon splicing regulation by splicing factors. We propose that the splicing regulation of an exon by a splicing factor is tightly interconnected with the physicochemical properties of the exon-encoded protein domain depending on the splicing-factor affinity for specific nucleotides.

genomics↗

bioRxiv2017

Stage-specific ISG expression reveals functional convergence of type I and II IFNs in SIV infection

AbstractInterferons play a major role in controlling viral infections including HIV/SIV infections. Persistent up-regulation of interferon-stimulated-genes (ISGs) is associated with chronic immune activation and progression in SIV/HIV infections, but the respective contribution of different IFNs is unclear. We analyzed the expression of annotated IFN-induced genes in SIV-infected macaques to decrypt the respective roles of type-I (,{beta}) and type-II ({gamma}) IFNs. Both IFN types were induced in lymph nodes during early stage of primary infection. Induction of type-II IFN persisted during the chronic phase, in contrast to undetectable induction of type-I IFN. Interferome-based analysis of ISGs revealed that at both acute and chronic infection phases most differentially expressed ISGs were inducible by both type-I and type-II IFNs and displayed the highest increases, indicating strong convergence and synergy between type-I and type-II IFNs. The analysis of functional signatures of ISG expression revealed temporal changes in IFN expression patterns identifying phase-specific ISGs. These results suggest that IFN-{gamma} strongly contribute to shape ISG upregulation in addition to type-I IFN and may contribute to progression.

immunology↗