Selected Grantee Publications
A Collection of Split-Gal4 Drivers Targeting Conserved Signaling Ligands in Drosophila
Ewen-Campen et al., G3 (Bethesda). 2025.
https://pubmed.ncbi.nlm.nih.gov/39569452
A modest number of highly conserved signaling pathways are known to generate a broad range of responses in multicellular animals, including mammals. How this remarkable feat is achieved is not well understood. Investigators developed and characterized a collection of genetic resources, called knock-in split-Gal4 lines, that target ligands from highly conserved signaling pathways in development and biological processes, including Notch, Hedgehog, fibroblast growth factor, epidermal growth factor, and transforming growth factor β. These Drosophila lines are useful in identifying tissues that co-express ligands of interest, genetically manipulating specific cell populations, and elucidating potential crosstalk among different conserved pathways. These resources are highly valuable for studying conserved intercellular signaling pathways relevant to human health and disease. Supported by ORIP (R24OD026435, R24OD031952, P40OD018537) and NIGMS.
MIC-Drop: A Platform for Large-scale In Vivo CRISPR Screens
Parvez et al., Science. 2021.
https://pubmed.ncbi.nlm.nih.gov/34413171/
CRISPR screens in animals are challenging because generating, validating, and keeping track of large numbers of mutant animals is prohibitive. These authors introduce Multiplexed Intermixed CRISPR Droplets (MIC-Drop), a platform combining droplet microfluidics, single-needle en masse CRISPR ribonucleoprotein injections, and DNA barcoding to enable large-scale functional genetic screens in zebrafish. In one application, they showed that MIC-Drop could identify small-molecule targets. Furthermore, in a MIC-Drop screen of 188 poorly characterized genes, they discovered several genes important for cardiac development and function. With the potential to scale to thousands of genes, MIC-Drop enables genome-scale reverse genetic screens in model organisms. Supported by ORIP (R24OD017870), NIGMS, and NHLBI.
Deploying MMEJ using MENdel in Precision Gene Editing Applications for Gene Therapy and Functional Genomics
Martínez-Gálvez et al., Nucleic Acids Research. 2021.
https://academic.oup.com/nar/article/49/1/67/6030233
Gene-editing experiments commonly elicit the error-prone non-homologous end joining for DNA double-strand break (DSB) repair. Martinez-Galvez et al. compared three DSB repair prediction algorithms - MENTHU, inDelphi, and Lindel. MENTHU correctly identified 46% of all PreMAs available, a ∼2- and ∼60-fold sensitivity increase compared to inDelphi and Lindel, respectively. The investigators report the new algorithm MENdel, a combination of MENTHU and Lindel, that achieves the most predictive coverage of homogeneous out-of-frame mutations. They suggest that the use of MENdel helps researchers use MMEJ at scale for reverse genetics screenings to be viable for nearly all loss-of-function based gene editing therapeutic applications. Supported by ORIP (R24OD020166) and NIGMS.