Biology subjects

Delaugerre, C.

Publications and source records attributed to Delaugerre, C..

3 recordsLinked to original sources

bioRxiv2022

Single-cell RNA-Seq analysis reveals dual sensing of HIV-1 in blood Axl+ dendritic cells

Sensing of incoming viruses represents one of the pivotal tasks of dendritic cells (DC). Human primary blood DC encompass various subsets that are diverse in their susceptibility and response to HIV-1. The recent identification of Axl+DC, a new blood DC subset, endowed with unique capacities to bind, replicate, and transmit HIV-1 prompted us to evaluate its anti-viral response. We show that HIV-1 induced two main broad and intense transcriptional programs in different Axl+DC potentially induced by different sensors; a NF-{kappa}B-mediated program that led to DC maturation and efficient antigen-specific CD4+T cell activation, and a program mediated by STAT1/2 that activated type I IFN and an ISG response. These responses were absent from cDC2 exposed to HIV-1 except when viral replication occurred. Finally, Axl+DC actively replicating HIV-1 identified by quantification of viral transcripts exhibited a mixed NF-{kappa}B/ISG innate response. Our results suggest that the route of HIV-1 entry may dictate different innate sensing pathway by DC.

immunology↗

bioRxiv2021

RACK1 associates with RNA-binding proteins Vigilin and SERBP1 to control dengue virus replication

Dengue virus (DENV), a re-emerging virus transmitted by Aedes mosquitoes, causes severe pathogenesis in humans. No effective treatment is available against this virus. We recently identified the scaffold protein RACK1 as a component of the DENV replication complex, a macromolecular complex essential for viral genome amplification. Here, we show that RACK1 is important for DENV infection. RACK1 mediates DENV replication through binding to the 40S ribosomal subunit. Mass spectrometry analysis of RACK1 partners coupled to a loss-of-function screen identified the RNA binding proteins Vigilin and SERBP1 as DENV host dependency factors. Vigilin and SERBP1 interact with DENV viral RNA (vRNA), forming a ternary complex with RACK1 to mediate viral replication. Overall, our results indicate that RACK1 recruits Vigilin and SERBP1, linking the DENV vRNA to the translation machinery for optimal translation and replication.

microbiology↗

bioRxiv2020

Multicenter comparison of the Cobas 6800 system with the RealStar RT-PCR kit for the detection of SARS-CoV-2

BackgroundRT-PCR testing is crucial in the diagnostic of SARS-CoV-2 infection. The use of reliable and comparable PCR assays is a cornerstone to allow use of different PCR assays depending on the local equipment. In this work, we provide a comparison of the Cobas(R) (Roche) and the RealStar(R) assay (Altona). MethodsAssessment of the two assays was performed prospectively in three reference Parisians hospitals, using 170 clinical samples. They were tested with the Cobas(R) assay, selected to obtain a distribution of cycle threshold (Ct) as large as possible, and tested with the RealStar assay with three largely available extraction platforms: QIAsymphony (Qiagen), MagNAPure (Roche) and NucliSENS-easyMag (BioMerieux). ResultsOverall, the agreement (positive for at least one gene) was 76%. This rate differed considerably depending on the Cobas Ct values for gene E: below 35 (n = 91), the concordance was 99%. Regarding the positive Ct values, linear regression analysis showed a determination correlation (R2) of 0.88 and the Deming regression line revealed a strong correlation with a slope of 1.023 and an intercept of -3.9. Bland-Altman analysis showed that the mean difference (Cobas(R) minus RealStar(R)) was + 3.3 Ct, with a SD of + 2.3 Ct. ConclusionsIn this comparison, both RealStar(R) and Cobas(R) assays provided comparable qualitative results and a high correlation when both tests were positive. Discrepancies exist after 35 Ct and varied depending on the extraction system used for the RealStar(R) assay, probably due to a low viral load close to the detection limit of both assays.

microbiology↗