AUTHOR=Dampier Will , Berman Rachel , Nonnemacher Michael R. , Wigdahl Brian 

TITLE=Computational analysis of cas proteins unlocks new potential in HIV-1 targeted gene therapy

JOURNAL=Frontiers in Genome Editing

VOLUME=Volume 5 - 2023

YEAR=2024

URL=https://www.frontiersin.org/journals/genome-editing/articles/10.3389/fgeed.2023.1248982

DOI=10.3389/fgeed.2023.1248982

ISSN=2673-3439

ABSTRACT=The human immunodeficiency virus type 1 (HIV-1) pandemic has been slowed with the advent of anti-retroviral therapy (ART). However, ART is not a cure and as such has pushed the disease into a chronic infection. One potential cure strategy that has shown promise is the Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/Cas gene editing system. It has recently been shown to successfully edit and/or excise the integrated provirus from infected cells and inhibit HIV-1 in vitro, ex vivo, and in vivo. These studies have primarily been conducted with SpCas9 or SaCas9. However, additional Cas proteins are discovered regularly and modifications to these known proteins are being engineered. These alternative Cas molecules have different requirements for protospacer adjacent motifs (PAMs) which impacts the possible targetable regions of HIV-1. Other modifications to the Cas protein or gRNA handle impact the tolerance for mismatches between gRNA and the target. While reducing off-target risk, this impacts the ability to account for HIV-1 genetic variability. This manuscript strives to examine these parameter choices using a computational approach for surveying the suitability of a Cas editor for HIV-1 gene editing. The Nominate, Diversify, Narrow, Filter (NDNF) pipeline measures the safety, broadness, and effectiveness of a pool of potential gRNAs for any PAM. Our examination revealed that broader PAMs improve the targeting potential of editors like SaCas9 and LbCas12a have larger pools of useful gRNAs, while broader PAMs reduced the useful pool of useful SpCas9 gRNAs yet increased the number of targetable locations. Investigation of the mismatch tolerance of Cas editors indicates a 2-missmatch tolerance is an ideal balance between on-target sensitivity and off-target specificity. It is our recommendation that researchers in the HIV-1 gene editing field explore the wider world of Cas editors.