Identification of Functionally-Relevant Lentivirus Integration Sites in an Insertional Mutagenesis Cell Library
The extent of functional sequences within the human genome is a pivotal yet debated topic in biology. Although high-throughput reverse genetic screens have made strides in exploring this, they often limit their scope to known genomic elements and may introduce non-specific effects. This underscores the urgent need for novel functional genomics tools that enable a deeper, unbiased understanding of genome functionality. This protocol introduces the Insertion-based Screen for functional Elements and Transcripts (InSET), a method for identifying lentivirus integration sites within a lentivirus-based insertional mutagenesis cell library. InSET facilitates the capture of genome-wide lentiviral integration sites, with next-generation sequencing used to detect and quantify flanking sequences. InSET's design enables the analysis of integration site abundance variations in phenotypic screens on a large scale, establishing it as a robust tool for forward genetics and for identifying functional genomic elements. A key benefit of InSET is its capacity to reveal previously unidentified genomic elements, including novel functional exons of both protein-coding and non-coding RNAs, independent of prior annotation. Overall, InSET holds significant value in studying the intricate complexity of the human genome and transcriptome, where many genomic elements await functional characterization.
Authors
- Philipp Kapranov (ORCID: https://orcid.org/0000-0003-2647-4856)
- Dongyang Xu (ORCID: https://orcid.org/0000-0002-7814-0666)
- Lu Tang (ORCID: https://orcid.org/0000-0002-2682-6578)
Institutions
- Huaqiao University (CN)
- Xiamen University (CN)
Publication Details
- Journal
- Journal of Visualized Experiments
- Published
- 2025-01-10
- DOI
- https://doi.org/10.3791/67552
- Primary Topic
- CRISPR and Genetic Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00