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Boulanger, C.

Publications and source records attributed to Boulanger, C..

3 recordsLinked to original sources

Cell-specific isolation and functional analysis of primary cardiomyocyte-derived large extracellular vesicles from infarcted mouse hearts

Extracellular vesicles (EVs) are membrane-bound particles secreted by all cells and serve as critical mediators of intercellular communication in both physiological and pathological contexts. However, elucidating the precise functions of endogenous EVs remains challenged by a fundamental technical bottleneck: current isolation methodologies depend on shared physical properties or generic surface markers, preventing the selective enrichment of cell-type-specific EVs within complex tissues. Consequently, EVs recovered from biofluids or tissue extracts represent heterogeneous populations, confounding the direct attribution of biochemical signatures and biological activities to distinct cellular origins. Here, we describe a versatile genetic-labeling and affinity-based purification strategy that enables the selective isolation of cell-specific primary EV. Using cardiomyocyte-derived EV (CM-EVs) as a proof-of-concept, we crossed Myh6-Cre mice with the ROSA26-mTmG reporter line to restrict membrane-targeted GFP expression to cardiomyocytes. Following myocardial infarction, cardiac EV were recovered and GFP-positive CM-EVs were selectively purified by anti-GFP nanobody-based magnetic pulldown. This approach yields highly enriched, functional cardiomyocyte-derived extracellular vesicles (CM-EVs). To accommodate diverse analytical needs, we established two distinct elution workflows: (i) a denaturing protocol optimized for downstream proteomics and immunoblotting, and (ii) a gentle, non-denaturing protocol that preserves vesicle integrity and biological activity for downstream in vitro and in vivo functional assays. Using this method, we characterized CM-EVs size distribution and proteomic signature, and demonstrated their capacity to transfer functional cargo to target cells in vitro. Because the purification approach relies solely on targeting a genetically restricted membrane tag rather than assumed surface markers, it is immediately adaptable to virtually any cell type for which a validated Cre driver exists. This method removes a long-standing bottleneck in EV research and provides a broadly applicable platform for deciphering the biochemical composition and in-vivo functions of cell-type-specific primary EV in physiological and pathological settings.

cell biology↗

SnoBIRD: A tool to identify C/D box snoRNAs and refine their annotation across all eukaryotes

Small nucleolar RNAs (snoRNAs), a group of noncoding RNAs present amongst all eukaryotes, are most extensively characterized for their regulation of ribosome biogenesis and splicing. Despite their central roles, current snoRNA annotations remain incomplete. Several eukaryote genome annotations contain few or no snoRNAs, and none distinguish expressed snoRNAs from their pseudogenes--a recently characterized snoRNA subclass with distinct features and expression levels. To address this, we developed SnoBIRD, a BERT-based C/D box snoRNA predictor trained on snoRNAs spanning all eukaryote kingdoms. We show that SnoBIRD outperforms existing tools and is the only predictor capable of identifying snoRNA pseudogenes using biologically relevant signal. Applied on the fission yeast and human genomes, we demonstrate that only SnoBIRD scales well with genome size in terms of runtime, and we identify and experimentally validate several new SnoBIRD-predicted C/D box snoRNAs. By running SnoBIRD on multiple eukaryote genomes, we identify hundreds of novel snoRNA candidates and highlight SnoBIRDs usefulness to determine the evolutionary paths of snoRNAs distributed across different species. Overall, SnoBIRD represents a user-friendly and efficient tool for reliably predicting C/D box snoRNAs and their pseudogenes across any eukaryote genome. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=109 SRC="FIGDIR/small/646650v1_ufig1.gif" ALT="Figure 1"> View larger version (19K): org.highwire.dtl.DTLVardef@99b390org.highwire.dtl.DTLVardef@dbe375org.highwire.dtl.DTLVardef@32358aorg.highwire.dtl.DTLVardef@58fb3a_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

Restoring vascular endothelial autophagic flux reduces atherosclerotic lesions

Atherosclerotic lesions preferentially develop in arterial areas exposed to low shear stress, where endothelial cells express a pro-inflammatory, apoptotic, and senescent phenotype. Endothelial cells exposed to atheroprone low shear stress present a defective autophagic flux, which favors a pro-inflammatory phenotype and the formation of atherosclerotic lesions. We tested the hypothesis that HDAC6 inhibition could restore adequate levels of autophagy in endothelial cells exposed to low shear stress. We found that blocking HDAC6 activity, either by pharmacological inhibition (Tubastatin-A) or genetic approaches (shHDAC6), raised levels of acetylated -tubulin, as well as LC3-II/I ratio, LC3 puncta area, nuclear TFEB translocation and autophagic flux in cultured endothelial cells exposed to low shear stress. This effect was associated with a reduced expression of inflammatory markers (ICAM-1, VCAM-1 and MCP-1) in TNF--stimulated cells. Impaired endothelial autophagic flux was restored in the aortic arch (atheroprone conditions) of HDAC6-/-mice, when compared to control littermates. Atherosclerotic plaque size was significantly decreased in the aortic arch of chimeric HDAC6-/-/ApoE-/- mice, transplanted with HDAC6+/+/ApoE-/- bone marrow, when compared to HDAC6+/+/ApoE-/- littermate controls. Taken together, these results indicate that HDAC6-inhibition may be an interesting strategy to restore endothelial autophagic flux, to help promote an atheroprotective endothelial phenotype despite unfavorable shear stress conditions.

pathology↗