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Singer, A.

Publications and source records attributed to Singer, A..

20 records · Page 2Linked to original sources

Characterization and Validation of a Novel Group of Type V, Class 2 Nucleases for in vivo Genome Editing

CRISPR-based genome editing is an enabling technology with potential to dramatically transform multiple industries. Identification of additional editing tools will be imperative for broad adoption and application of this technology. A novel Type V, Class 2 CRISPR nuclease system was identified from Microgenomates and Smithella bacterial species (CRISPR from Microgenomates and Smithella, Cms1). This system was shown to efficiently generate indel mutations in the major crop plant rice (Oryza sativa). Cms1 are distinct from other Type V nucleases, are smaller than most other CRISPR nucleases, do not require a tracrRNA, and have an AT-rich protospacer-adjacent motif site requirement. A total of four novel Cms1 nucleases across multiple bacterial species were shown to be functional in a eukaryotic system. This is a major expansion of the Type V CRISPR effector protein toolbox and increases the diversity of options available to researchers.

molecular biology↗

Synthesizing developmental trajectories

Dynamical processes in biology are studied using an ever-increasing number of techniques, each of which brings out unique features of the system. One of the current challenges is to develop systematic approaches for fusing heterogeneous datasets into an integrated view of multivariable dynamics. We demonstrate that heterogeneous data fusion can be successfully implemented within a semi-supervised learning framework that exploits the intrinsic geometry of high-dimensional datasets. We illustrate our approach using a dataset from studies of pattern formation in Drosophila. The result is a continuous trajectory that reveals the joint dynamics of gene expression, subcellular protein localization, protein phosphorylation, and tissue morphogenesis. Our approach can be readily adapted to other imaging modalities and forms a starting point for further steps of data analytics and modeling of biological dynamics.

developmental biology↗