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Kolpakov, I.

Publications and source records attributed to Kolpakov, I..

2 recordsLinked to original sources

Evaluation of the Ultima Genomics UG 100™ sequencing platform for clinical services

The steep reduction in the cost of genome sequencing started with the introduction of Solexa Sequencing-By-Synthesis technology in 2006 has plateaued recently due to technical limitations in the use of closed flowcells and to the cost of reagents. The Ultima Genomics UG 100 is the first sequencing machine to lower the cost of human genome sequencing to 80$. However, technical limitations in resolving long homopolymer regions undermine the application of this technology to short variant calling in clinical settings. Here, we evaluate the ability of UG 100 to identify short variants in relation to its suitability for clinical accreditation, by comparing it with the Illumina NovaSeq 6000 Systems platform. We focus specifically on the small variant calling performance in long homopolymer regions, both genome-wide and in relation to a set of medically-relevant genes that are challenging to sequence. Our analysis aims at supporting clinicians in determining whether the UG 100 platform is well-suited for their studies, and to guide clinical sequencing centers in evaluating the adoption of this emerging technology.

bioinformatics↗

A novel anti-influenza combined therapy assessed by single cell RNA-sequencing

Influenza makes millions of people ill every year, placing a large burden on the healthcare system and the economy. To develop a novel treatment against influenza, we combined virucidal sialylated cyclodextrins with interferon lambda and demonstrated, in human airway epithelia, that the two compounds inhibit the replication of a clinical H1N1 strain more efficiently when administered together rather than alone. We investigated the mechanism of action of the combined treatment by single cell RNA sequencing analysis and found that both the single and combined treatments impair viral replication to different extents across distinct epithelial cell types. We also showed that each cell type comprises multiple sub-types, whose proportions are altered by H1N1 infection, and assess the ability of the treatments to restore them. To the best of our knowledge this is the first study investigating the effectiveness of an antiviral therapy by transcriptomic studies at the single cell level.

genomics↗