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Palescandolo, E.

Publications and source records attributed to Palescandolo, E..

2 recordsLinked to original sources

COMPARATIVE METAGENOMIC ASSESSMENT OF SHORT- AND LONG-READ SEQUENCING TECHNOLOGIES REVEALS UNKNOWN MICROBIAL INFORMATION IN A COMPLEX ENVIRONMENTAL SAMPLE

Metagenomics enables comprehensive exploration of microbial communities but is influenced by library preparation and sequencing technologies, affecting recovery of microbial genomes and proteins. Here, we benchmarked six Illumina short-read library kits at 2x150 bp and 2x250 bp read lengths alongside PacBio HiFi long-read sequencing using a complex environmental sample. Longer short reads (2x250 bp) combined with optimal library preparation approaches notably improved assembly quality, protein detection, and metagenome-assembled genome (MAG) recovery, achieving results similar to those of long-read sequencing. Although long reads yield more contiguous and complete genomes, longer short reads offer a cost-effective, scalable alternative for uncovering microbial and functional diversity. These findings provide critical guidance for metagenomic experimental design, demonstrating the importance of strategic selection of library preparation chemistry and sequencing parameters in revealing unknown microbial information in complex biomes without requiring additional sequencing depth. IMPORTANCEMetagenomic outcomes are strongly influenced by library preparation and sequencing strategies, yet their combined effects in complex environmental samples remain poorly defined. Here, we provide the first direct comparison of Illumina NovaSeq short-read metagenomic sequencing at 2x150 bp and 2x250 bp across multiple library preparation kits, alongside PacBio long-read sequencing. We show that sequencing read length and library preparation critically shape assembly quality, protein recovery, and metagenome-assembled genome (MAG) reconstruction. Optimized short-read sequencing at 2x250 bp recovered high-quality MAGs approaching those obtained with long-read technologies while substantially improving protein discovery compared to 2x150 bp at the same sequencing depth. Together, these results provide actionable guidance for experimental design and reveal how sequencing read length can be leveraged to improve the recovery of microbial and functional diversity in complex biomes.

genomics↗

Tissue transcriptomics of endomyocardial biopsies reveals widespread molecular perturbations independent of leukocyte-rich foci in human myocarditis

BackgroundMyocarditis is an inflammatory disease of the myocardium, classically defined and graded by histologic criteria that emphasize immune infiltrates and focal cardiomyocyte injury. The broader transcriptional landscape and intercellular signaling networks underlying human myocarditis, particularly among non-immune cells, remain poorly understood. MethodsWe performed integrated spatial transcriptomic profiling of 38 endomyocardial biopsy (EMBx) specimens using two complementary platforms: 10X Visium FFPE and GeoMx Digital Spatial Profiling (DSP). The cohort included cases of histologically confirmed myocarditis, borderline myocarditis, and controls. For 10X Visium, data was refined by excluding leukocyte-enriched spots and enriching for cardiomyocyte-specific regions based on canonical marker expression. For GeoMx, immunohistochemistry-guided segmentation enabled targeted transcriptomic analysis of disparate cardiac cellular compartments. Differential gene expression was analyzed independently for each platform and subsequently integrated. These results were further leveraged to infer molecular interaction networks and ligand-receptor relationships in myocarditis relative to controls. ResultsBoth platforms revealed widespread gene expression changes consistent with immune activation in myocarditis and borderline myocarditis, particularly within cardiomyocyte-enriched regions. These included upregulation of HLA-A, HLA-DQA1, B2M, and CD74 in myocarditis, consistent with activation of major histocompatibility complex (MHC) class I and II related pathways. Molecular interaction analysis identified STAT1 and ISG15 as likely central immune signaling nodes. Ligand-receptor inference highlighted HLA-A, HLA-E, and HLA-DQA1 as key receptor hubs interacting with immune ligands such as IFNG, CD8A, and several members of the (NK) killer-cell immunoglobulin-like receptor (KIR) family. ConclusionsOur findings demonstrate that human myocarditis is characterized by widespread transcriptional dysregulation beyond immune cell foci, including upregulation of genes typically associated with professional antigen-presenting cells in cardiomyocytes. These insights extend our current understanding of myocarditis pathophysiology and suggest new opportunities for its diagnosis and therapeutic targeting.

immunology↗