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Biology subjects

Clerc, I.

Publications and source records attributed to Clerc, I..

2 recordsLinked to original sources

A Tissue Virus Microenvironment with Activated Stress Responses Underlies Durable SIV Persistence

HIV persistence during suppressive antiretroviral therapy (ART) remains a central barrier to cure, with the majority of reservoirs residing in gut-associated lymphoid tissues (GALT). Here, we define a spatially organized viral microenvironment (VME) that sustains reservoir durability and governs early viral rebound by comparing animals initiating ART early after infection (transient reservoirs) versus late (persistent reservoirs). Using immunoPET/CT-guided sampling of SIV-infected rhesus macaques combined with spatial transcriptomics, we interrogated tissue sites of viral production during the eclipse phase following analytical treatment interruption (ATI). Our results revealed that viral rebound from persistent reservoirs arises from discrete, transcriptionally active foci enriched in the mucosa lining the gut lumen. Eclipse phase persistent reservoirs were characterized by increased proviral burden and a distinct tissue state marked by activation of stress-response, metabolic, mitochondrial, and cell cycle programs coupled to repression of cytoplasmic translation and increased cellular senescence. These features co-occurred with immunosuppressive cellular architectures resembling tertiary lymphoid structures enriched for Treg cells, innate lymphoid cells, and mast cells, regulated by Treg-centered cell-cell interaction networks. In contrast, transient reservoirs displayed enhanced translational and metabolic activity and were embedded within immune-active environments enriched for CD8 T cells, Th17, Tfh, and activated CD4 T cells. Machine learning identified stress adaptation, hypoxia, metabolic rewiring, and cytoskeletal remodeling pathways as dominant predictors of viral density within persistent VMEs, with strong convergence on programs observed in tumor microenvironments (TME). Orthogonal validation confirmed activation of the integrated stress response (ISR) at sites of viral production in concurrence with results of immunofluorescent microscopy revealing SIV gag expression in two populations primarily in the mucosa, differentiated by the phosphorylation of eIF2. Together, these findings establish the VME as a critical determinant of reservoir persistence, integrating immune regulation, tissue remodeling, and translational control to enable viral survival. This framework suggests that effective HIV cure strategies will require coordinated disruption of VME-supportive functions in addition to targeting infected cells.

microbiology↗

Conformational ensembles of flexible multidomain proteins: How close are we to accurate and reliable predictions?

Multidomain proteins connected by flexible linkers populate conformational ensembles that are challenging to characterize using conventional structural biology methods. In domain-linker-domain (DLD) proteins, linker-mediated inter-domain relative positions and orientations are functionally relevant, yet their dynamical behavior in solution normally remain poorly described. Small-angle X-ray scattering (SAXS) provides ensemble-averaged structural information for such systems; however, coupling with computational modeling is required to accurately describe the dynamic behavior of this family of proteins in solution. Here, we present a systematic evaluation of five ensemble-generation strategies applied to a set of eighteen proteins sharing the same two globular domains, connected by naturally occurring linkers of varying length and composition. Modeling methods based on different underlying principles are compared by assessing their agreement to experimental SAXS data, showing a large disparity and systematic structural biases among them. Furthermore, for each approach, we examine the effect of refinement against SAXS restraints and assess its capacity to describe the experimental data, as well as the induced biases in global dimensions and inter-domain distance distributions. This analysis underlines the importance of the initial conformational pool for deriving experimentally compatible ensembles. Overall, this work provides a high-quality benchmark for SAXS-driven ensemble modeling of flexible, multidomain proteins and establishes a framework for the critical interpretation of solution scattering data in systems with pronounced conformational heterogeneity.

biophysics↗