[HTML][HTML] AAV integration in human hepatocytes

DA Dalwadi, A Calabria, A Tiyaboonchai, J Posey… - Molecular Therapy, 2021 - cell.com
Recombinant adeno-associated viral (rAAV) vectors are considered promising tools for gene
therapy directed at the liver. Whereas rAAV is thought to be an episomal vector, its single …

Longitudinal single-cell profiling of chemotherapy response in acute myeloid leukemia

MM Naldini, G Casirati, M Barcella… - Nature …, 2023 - nature.com
Acute myeloid leukemia may be characterized by a fraction of leukemia stem cells (LSCs)
that sustain disease propagation eventually leading to relapse. Yet, the contribution of LSCs …

IS-Seq: a bioinformatics pipeline for integration sites analysis with comprehensive abundance quantification methods

A Yan, C Baricordi, Q Nguyen, L Barbarossa… - BMC …, 2023 - Springer
Background Integration site (IS) analysis is a fundamental analytical platform for evaluating
the safety and efficacy of viral vector based preclinical and clinical Gene Therapy (GT). A …

VSeq-Toolkit: comprehensive computational analysis of viral vectors in gene therapy

S Afzal, R Fronza, M Schmidt - Molecular Therapy-Methods & Clinical …, 2020 - cell.com
Viral vector characterization and analysis are important components for the development of
safe gene therapeutic products, elucidating the potential genotoxic and immunogenic effects …

InCliniGene enables high-throughput and comprehensive in vivo clonal tracking toward clinical genomics data integration

I Merelli, S Beretta, D Cesana, A Gennari… - Database, 2023 - academic.oup.com
High-throughput clonal tracking in patients under hematopoietic stem cell gene therapy with
integrating vector is instrumental in assessing bio-safety and efficacy. Monitoring the fate of …

rAAV Integration: Detection and Risk Assessment

J Yuan, I Gil‐Farina, R Fronza… - Drug Development for …, 2024 - Wiley Online Library
Recombinant adeno associated virus (rAAV) are gene therapy vectors that do not need to
integrate into the host cell genome to produce their gene product and are classified as …

Investigating the Impact of Gene Cofunctionality in Predicting Gene Mutations of E. coli

M Okwori, A Eslami - IEEE Access, 2020 - ieeexplore.ieee.org
Machine learning algorithms (MLAs) have recently been applied to predict gene mutations
of Escherichia coli (E. coli) under different exposure conditions, with room for improvement …