Article

Modeling integration site data for safety assessment with MELISSA

2024-09-21

Abstract excerpt

Gene and cell therapies pose safety concerns due to potential insertional mutagenesis by viral vectors. We introduce MELISSA, a statistical framework for analyzing Integration Site (IS) data to assess insertional mutagenesis risk. MELISSA employs regression models to estimate and compare gene-specific integration rates and their impact on clone fitness. We tested MELISSA under three settings. First, we conducted s...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 4ac28438-0851-5331-ac05-a11bf3f58ccc
DOI: 10.1101/2024.09.16.613352

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Modeling integration site data for safety assessment with MELISSADOI 10.1101/2024.09.16.613352Read

LISA: A Comprehensive R Package for Lentiviral Integration Site Analysis in Gene Therapy Safety AssessmentSemantic proximity Read

Integration Site Analysis in Gene Therapy Patients: Expectations and RealitySemantic proximity Read

GENE-IS: Time-Efficient and Accurate Analysis of Viral Integration Events in Large-Scale Gene Therapy DataSemantic proximity Read

Genome-wide profiling of retroviral DNA integration and its effect on clinical pre-infusion CAR T-cell productsSemantic proximity Read

ISAnalytics enables longitudinal and high-throughput clonal tracking studies in hematopoietic stem cell gene therapy applicationsSemantic proximity Read

Ex vivo long-term expansion of human hematopoietic stem and progenitor cells as a tool for modeling vector integration sites and clonalitySemantic proximity Read

Scalable assessment of genome editing off-targets associated with genetic variantsSemantic proximity Read

Meta-Analysis and Optimization of the In Vitro Immortalization Assay for Safety Assessment of Retroviral Vectors in Gene TherapySemantic proximity Read

Retroviral and Lentiviral Safety Analysis of Gene-Modified T Cell Products and Infused HIV and Oncology PatientsSemantic proximity Read

Computational tools for assessing gene therapy under branching process models of mutation.Semantic proximity Read

Evaluating the state of the science for adeno-associated virus integration: An integrated perspectiveSemantic proximity Read

RAISING: a high-performance method for identifying random transgene integration sitesSemantic proximity Read