Publications by authors named "A I Seye"

Neurological manifestations associated with human parvovirus B19 (B19V) infections are rare and varied. Acute encephalitis and encephalopathy are the most common, accounting for 38.8% of all neurological manifestations associated with human B19V.

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Limb apraxia is a motor disorder frequently observed following a stroke. Apraxic deficits are classically assessed with four tasks: tool use, pantomime of tool use, imitation, and gesture understanding. These tasks are supported by several cognitive processes represented in a left-lateralized brain network including inferior frontal gyrus, inferior parietal lobe (IPL), and lateral occipito-temporal cortex (LOTC).

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The burden of encephalitis and its associated viral etiology is poorly described in Africa. Moreover, neurological manifestations of COVID-19 are increasingly reported in many countries, but less so in Africa. Our prospective study aimed to characterize the main viral etiologies of patients hospitalized for encephalitis in two hospitals in Dakar.

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With an increasing number of gene therapy clinical trials and drugs reaching the market, it becomes important to standardize the methods that evaluate the efficacy and safety of gene therapy. We herein report the generation of lentiviral standards which are stable, cloned human cells prepared from the diploid HCT116 cell line and which carry a known number of lentiviral vector copies in their genome. These clones can be used as reference cellular materials for the calibration or qualification of analytical methods that quantify vector copy numbers in cells (VCN) or lentiviral vector genomic integration sites (IS).

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Simulations showed that hybrid performances issued from an incomplete factorial between segregating families of two heterotic groups enable to calibrate genomic predictions of hybrid value more efficiently than tester-based designs. Genomic selection offers new opportunities to revisit hybrid breeding by replacing extensive phenotyping of hybrid combinations by genomic predictions. A key question remains to identify the best design to calibrate genomic prediction models.

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