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Martinez-Galvez, G.

Publications and source records attributed to Martinez-Galvez, G..

3 recordsLinked to original sources

Chimeric RNA:DNA Donorguide Improves HDR in vitro and in vivo

Introducing small genetic changes to study specific mutations or reverting clinical mutations to wild type has been an area of interest in precision genomics for several years. In fact, it has been found that nearly 90% of all human pathogenic mutations are caused by small genetic variations, and the methods to efficiently and precisely correct these errors are critically important. One common way to make these small DNA changes is to provide a single stranded DNA (ssDNA) donor containing the desired alteration together with a targeted double-strand break (DSB) at the genomic target. The donor is typically flanked by regions of homology that are often ~30-100bp in length to leverage the homology directed repair (HDR) pathway. Coupling a ssDNA donor with a CRISPR-Cas9 to produce a targeted DSB is one of the most streamlined approaches to introduce small changes. However, in many cell types this approach results in a low rate of incorporation of the desired alteration and has undesired imprecise repair at the 5 or 3 junction due to artifacts of the DNA repair process. We herein report a technology that couples the spatial temporal localization of an ssDNA repair template and leverages the nucleic acid components of the CRISPR-Cas9 system. We show that by direct fusion of an ssDNA template to the trans activating RNA (tracrRNA) to generate an RNA-DNA chimera, termed Donorguide, we recover precise integration of genetic alterations, with both increased integration rates and decreased imprecision at the 5 or 3 junctions relative to an ssODN donor in vitro in HEK293T cells as well as in vivo in zebrafish. Further, we show that this technology can be used to enhance gene conversion with other gene editing tools such as TALENs.

genetics↗

MMEJ-based Precision Gene Editing for applications in Gene Therapy and Functional Genomics

Experiments in gene editing commonly elicit error-prone non-homologous end joining for DNA double-strand break (DSB) repair. Microhomology-mediated end joining (MMEJ) can generate more predictable outcomes for functional genomic and somatic therapeutic applications. MENTHU is a computational tool that predicts nuclease-targetable sites likely to result in MMEJ-repaired, homogeneous genotypes (PreMAs) in zebrafish. We deployed MENTHU on 5,885 distinct Cas9-mediated DSBs in mouse embryonic stem cells, and compared the predictions to those by inDelphi, another DSB repair predictive algorithm. MENTHU correctly identified 46% of all PreMAs available, doubling the sensitivity of inDelphi. We also introduce MENTHU@4, an MENTHU update trained on this large dataset. We trained two MENTHU-based algorithms on this larger dataset and validated them against each other, MENTHU, and inDelphi. Finally, we estimated the frequency and distribution of SpCas9-targetable PreMAs in vertebrate coding regions to evaluate MMEJ-based targeting for gene discovery. 44 out of 54 genes (81%) contained at least one early out-of-frame PreMA and 48 out of 54 (89%) did so when also considering Cas12a. We suggest that MMEJ can be deployed at scale for reverse genetics screenings and with sufficient intra-gene density rates to be viable for nearly all loss-of-function based gene editing therapeutic applications.

genomics↗

Toward Precision Molecular Surgery: Robust, Selective Induction of Microhomology-mediated End Joining in vivo

One key problem in precision genome editing is the resultant unpredictable plurality of sequence outcomes at the site of targeted DNA double-strand breaks (DSBs). This is due to the typical activation of the versatile Non-homologous End Joining (NHEJ) pathway. Such unpredictability limits the utility of somatic gene editing for applications including gene therapy and functional genomics. For germline editing work, the accurate reproduction of identical alleles using NHEJ is a labor intensive process. In this study, we propose inducing Microhomology-mediated End Joining (MMEJ) as a viable solution for improving somatic sequence homogeneity in vivo, capable of generating a single predictable allele at high rates (56% ~ 86% of the entire mutant allele pool). Using a combined dataset from zebrafish (Danio rerio) in vivo and human HeLa cell in vitro as a training dataset, we identified specific contextual sequence determinants surrounding genomic DSBs for robust MMEJ pathway activation. We then applied our observation and prospectively designed MMEJ-inducing sgRNAs against a variety of proof-of-principle genes and demonstrated a high level of mutant allele homogeneity at these loci. F0 mutant zebrafish embryos and larvae generated with these gRNAs faithfully recapitulated previously reported, recessive loss-of-function phenotypes. We also provide a novel algorithm MENTHU (http://genesculpt.org/menthu/) for improved prediction of candidate MMEJ loci, suitable for both targeted and genome-wide applications. We believe that this MMEJ-centric approach will have a broad impact on genome engineering and its applications. For example, whereas somatic mosaicism hinders efficient recreation of a knockout mutant allele at base pair resolution via the standard NHEJ-based approach, we demonstrate that F0 founders transmitted the identical MMEJ allele of interest at high rates. Most importantly, the ability to directly dictate the reading frame of an endogenous target will have important implications for gene therapy applications in human genetic diseases.\n\nAuthor SummaryNew gene editing tools precisely break DNA at pre-defined genomic locations, but cells repair these lesions using diverse pathways that often lead to unpredictable outcomes in the resulting DNA sequences. This sequence diversity in gene editing outcomes represents an important obstacle to the application of this technology for human therapies. Using a vertebrate animal as a model system, we provide strong evidence that we can overcome this obstacle by selectively directing DNA repair of double-stranded breaks through a lesser-described pathway termed Microhomology-mediated End Joining (MMEJ). Unlike other, better-understood pathways, MMEJ uses recurring short sequence patterns surrounding the site of DNA breakage. This enables the prediction of repair outcomes with improved accuracy. Importantly, we also show that preferential activation of MMEJ is compatible with effective gene editing. Finally, we provide a simple algorithm and software for designing DNA-breaking reagents that have high chance of activating the MMEJ pathway. We believe that the MMEJ-centric approach to be broadly applicable for a variety of gene editing applications both within the laboratory and for human therapies.\n\nAuthor ContributionHA contributed in Conceptualization, Data Curation, Formal Analysis, Investigation, Funding Acquisition, Methodology, Validation, Visualization, Writing - Original draft preparation, and Writing - Review and Editing. TLE contributed in Data Curation, Investigation, Writing - Original draft preparation, and Writing - Review and Editing. GMG contributed in Software, Validation, and Writing. CMM contributed in Software Validation, and Writing. AVD contributed in Investigation, Methodology, Validation, and Writing - Review and Editing. KJS contributed in Investigation and Writing - Review and Editing. ACM contributed in Conceptualization, Data Curation, Investigation, and Writing - Review and Editing. DD contributed in Funding Acquisition, Resources, and Writing - Review and Editing. KJC contributed in Conceptualization, Funding Acquisition, Resources, Supervision, and Writing - Review and Editing. SCE contributed in Conceptualization, Funding Acquisition, Project Administration, Resources, Supervision, Writing - Review and Editing.

molecular biology↗