Publications by authors named "E Cosentino"

The green alga (formerly ) is a primary source of astaxanthin, a ketocarotenoid with high antioxidant activity and several industrial applications. Here, the highly repetitive genome was reconstructed by exploiting next-generation sequencing integrated with Hi-C scaffolding, obtaining a 151 Mb genome assembly in 32 scaffolds at a near-chromosome level with high continuity. Surprisingly, the distribution of the single-nucleotide-polymorphisms identified demonstrates a diploid configuration for the genome, further validated by Sanger sequencing of heterozygous regions.

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Article Synopsis
  • The study investigated how acute ischemic stroke (AIS) affects patients with nonvalvular atrial fibrillation (NVAF) who are using oral anticoagulants (OA), specifically comparing direct oral anticoagulants (DOAC) and vitamin K antagonists (VKA).
  • A total of 169 patients were examined, revealing that those on VKA had higher in-hospital mortality rates and poor outcomes 90 days after the stroke compared to DOAC users.
  • The researchers found that switching anticoagulants did not impact stroke recurrence rates, suggesting that further extensive research is needed to optimize treatment for AIS in OA patients.
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High-throughput chromosome conformation capture (Hi-C) is widely used for scaffolding in de novo assembly because it produces highly contiguous genomes, but its indirect statistical approach can introduce connection errors. We employed optical mapping (Bionano Genomics) as an orthogonal scaffolding technology to assess the structural solidity of Hi-C reconstructed scaffolds. Optical maps were used to assess the correctness of five de novo genome assemblies based on long-read sequencing for contig generation and Hi-C for scaffolding.

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Article Synopsis
  • The study investigates predictive factors for hemorrhagic transformation (HT) in acute ischemic stroke patients using retrospective data analysis.
  • A new predictive score, the Hemorrhagic Transformation Empoli score (HTE), incorporates factors such as NIHSS score, cardioembolic causes, and previous stroke history to assess HT risk.
  • The HTE score outperforms five existing prediction scores, showing good predictive power with an AUC of 0.785, indicating its potential for clinical use.
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