Biology subjects

Braga-Lagache, S.

Publications and source records attributed to Braga-Lagache, S..

5 recordsLinked to original sources

bioRxiv2026

A generalizable normalization framework to decouple protocol and instrument effects: Application to high-sensitivity proteomics multicentric study (PME13)

Multicenter studies are essential for benchmarking analytical workflows, yet their interpretation is often confounded by the combined effects of experimental protocols and instrumentation. To address this challenge, we introduce a simple normalization-based analytical framework, the recovery metric ({rho}), designed to decouple protocol driven effects from instrument dependent variability. We applied this framework to the 13th Proteomics Multicentric Experiment (PME13), a large multicentric proteomics dataset generated across 27 laboratories using high sensitivity workflows and varying sample preparation protocols. By leveraging a common digested reference sample, {rho} enables direct cross-comparison of all datasets on a unified scale, effectively minimizing instrument-related biases. Using this approach, we demonstrate that apparent instrument dependent trends are largely removed when evaluated through {rho}, revealing consistent protocol driven effects across laboratories. Statistical modeling identified key variables influencing {rho}, including sample input amount, reduction and alkylation, and the use of n-dodecyl-{beta}-D-maltoside (DDM). While DDM was associated with improved {rho}, reduction and alkylation and additional handling steps led to reduced performance, particularly at low input levels. We further highlight practical considerations for the application of ratio based normalization, including the occurrence of values exceeding theoretical bounds, which reflect deviations from underlying assumptions and require appropriate filtering. Overall, this work establishes a generalizable analytical strategy for disentangling confounding factors in multicentric datasets and provides practical guidelines for optimizing high sensitivity proteomics (HSP) workflows. The proposed framework is broadly applicable to other analytical fields where cross laboratory comparability is required.

bioinformatics↗

bioRxiv2025

Bumped kinase inhibitor BKI-1708 interferes in cytokinesis and drives baryzoite stage conversion in the cyst-forming apicomplexan parasites Toxoplasma gondii, Neospora caninum and Besnoitia besnoiti

Bumped kinase inhibitors (BKIs) have demonstrated safety and promising efficacy against various apicomplexan pathogens both in vitro and in vivo. However, in the closely related cyst-forming coccidians T. gondii, Neospora caninum and Besnoitia besnoiti, in vitro treatments with a range of BKIs induced the conversion of intracellular tachyzoites into atypical multinucleated complexes (MNCs), also named "baryzoites". In this study, baryzoites of T. gondii, N. caninum and B. besnoiti generated through exposure of tachyzoites to 2.5 {micro}M BKI-1708 were comparatively assessed. TEM showed that baryzoites contained multiple nuclei, clustered together and separated from the cytoplasmic organelles of newly formed zoites. These zoites do not have outer tachyzoite plasma membrane, were unable to complete cytokinesis, remained intracellular, and were enclosed by a parasitophorous vacuole membrane. TEM demonstrated the presence of an electron-dense cyst wall-like components only in T. gondii baryzoites. Species-specific differences in antigen expression were observed by immunofluorescence using specific antibodies. Comparative proteomic analysis revealed consistent downregulation of ribosomal proteins, proteins associated with secretory organelles, as well as of transcription and translation factors in all baryzoites. Bradyzoite-specific markers were upregulated only in T. gondii baryzoites. In addition, common orthologues of two alveolin-domain filament proteins (IMC7 and IMC12) and a hypothetical protein (TGME49_236950, NCLIV_050850, BESB_060040) were detected at higher abundance in all treated parasites. Overall, baryzoites exhibit distinct phenotypic and proteomic profiles, with ambiguous expression of tachyzoite and bradyzoite antigens, and lacking complete cellular division under drug pressure, suggesting a reversible response to stress rather than progression into a fully differentiated form. SignificanceApicomplexan parasites cause serious diseases worldwide, yet treatment options remain limited. A promising group of drugs are BKIs. We investigated how BKI-1708 affects threclosely related T. gondii, N. caninum, and B. besnoiti. Instead of killing the parasites, the drug induced the formation of multinucleated structures termed "baryzoites". These baryzoites exhibited ambiguous characteristics during the actively growing and dormant stages of the parasite life cycle and were unable to complete normal cell division. Moreover, we observed other key similarities and differences among species including downregulation of ribosomal proteins and transcription/translation factors, while only T. gondii displayed cyst wall formation. Microscopy and proteomics demonstrated that baryzoites represent a distinct stage that is formed upon drug pressure and promotes parasite survival during prolonged drug exposure. These findings highlight the unexpected ways parasites adapt to drug treatment and provide new insights into how BKIs exert their activities.

systems biology↗

bioRxiv2025

Stress granules formed during different RNA virus infections show remarkable plasticity and substantial virus-specific differences in their formation and composition

Eukaryotic cells evolved a cellular stress response to cope with extrinsic and intrinsic stress stimuli including virus infections. The major result of this response is the shutdown of bulk translation to prevent damage and allow the reprogramming of translation towards stress-resolving pathways. The resulting translationally stalled mRNA and associated proteins are accumulated in membrane-less cytosolic condensates called stress granules (SG). While the inhibitory effect of translation arrest on virus growth is well established, the role of SGs in the cellular defense against viruses is still unclear. The observation of specific interference with SG formation during various virus infections led to the hypothesis that SGs could serve as antiviral signaling platforms. In this study, we used mouse hepatitis virus (MHV) to characterize SGs formed during coronavirus infection. By applying APEX2-mediated proximity labelling in combination with quantitative proteomics, we dissected the proteome of MHV-induced granules and compared it to canonical SGs formed during oxidative stress. Our data revealed substantial differences in protein abundance and composition indicating stressor-specific SG characteristics. To assess if the observed differences are a general feature of virus-induced SGs or rather virus-specific, we extended our investigations to the Semliki Forest virus (SFV), a member of the alphavirus family known to induce SGs. An initial comparison of SG formation kinetics by live-cell imaging showed distinct time points of SG induction between both viruses. A comprehensive comparison of the SG protein compositions revealed profound differences in the SG proteome between SFV and MHV. A further subcellular localization of SG components by microscopy not only confirmed a reduced abundance of several translation initiation factors in MHV-induced granules, but surprisingly, revealed the presence of SFV RNA and the absence of MHV RNA in virus-induce SGs. The reduced connection to canonical SG themes observed for MHV-induced granules compared to SFV- and oxidative stress-induced ones indicates a different impact of these condensates on MHV replication and further raises the question whether they should be considered SGs. The surprising plasticity of SGs concerning induction kinetics, protein composition and abundance, and inclusion or exclusion of viral RNA provide a base for future investigations of the role(s) of SGs in the context of viral infection and how they may impact virus replication.

microbiology↗

bioRxiv2024

High-throughput proteome profiling with low variation in a multi-center study using dia-PASEF

High throughput proteomics is gaining increasing traction as it facilitates screening of large sample cohorts required in clinical research and systems biology studies. Recent developments in mass spectrometry-based proteomics resulted in improved hardware and software providing deep proteome coverage, robustness, and scale accessible to a wide range of laboratories. Here, we benchmark dia-PASEF, a data-independent acquisition scheme that integrates trapped ion mobility with high scan speed, with a high-resolution time-of-flight mass analyzer (timsTOF HT) for the deep proteome analysis of a human cell line applying short 5-minute gradients. To show intra-and interlaboratory reproducibility, we performed a multi-laboratory study including 11 sites. We demonstrate that on average 7,072 protein groups and 99,835 peptides were identified in human chronic myelogenous leukemia cells on the timsTOF HT with low variation. Our results underline that dia-PASEF data acquisition combined with reproducible chromatography enables high robustness and data consistency across instruments and laboratories, which is a prerequisite for translational biomedical insights.

systems biology↗

bioRxiv2020

Redox protein Memo1 coordinates FGF23-driven signaling and small Rho-GTPases in the mouse kidney

Memo1 deletion in mice causes premature aging and an unbalanced metabolism partially resembling Fgf23 and Klotho loss-of-function animals. We report a role for Memos redox function in renal FGF23-Klotho signaling using mice with postnatally induced Memo deficiency in the whole body (cKO). Memo cKO mice showed impaired FGF23-driven renal ERK phosphorylation and transcriptional responses. FGF23 actions involved activation of oxidation-sensitive protein phosphotyrosyl phosphatases (PTP) in the kidney. Redox proteomics revealed excessive thiols of Rho-GDP dissociation inhibitor 1 (Rho-GDI1) in Memo cKO, and we detected a functional interaction between Memos redox function and oxidation at Rho-GDI1 Cys79. In isolated cellular systems, Rho-GDI1 did not directly affect FGF23-driven cell signaling, but we detected disturbed Rho-GDI1 dependent small Rho-GTPase protein abundance and activity in the kidney of Memo cKO mice. Collectively, this study reveals previously unknown layers in the regulation of renal FGF23 signaling and connects Memo with the network of small Rho-GTPases.

biochemistry↗