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David M Shechner

Publications and source records attributed to David M Shechner.

2 recordsLinked to original sources

Mapping subcellular microenvironments using oligonucleotide-directed proximity labeling.

Understanding how cells compartmentalize their biomolecules into discrete structures remains one of the fundamental goals of cell biology. The proliferation of proximity labeling (PL) technologies has been invaluable toward this goal, enabling biochemical "dissection" of compartments that would be intractable to classical biochemical methods. While robust PL approaches have long been established for targeting proteins of interest, targeting nucleic acids-RNAs and genomic loci-has remained significantly more challenging. Here, we review recent advancements in the field that overcome this longstanding roadblock by using programmable DNA oligonucleotides to direct PL enzyme localization. These tools are already revealing new insights into the molecular architecture of cellular compartments that lie at the heart of gene expression. They also provide a foundation for developing a new generation of PL tools that exploit the modularity and programmability of oligonucleotide-based devices to enable precise spatiotemporal control at previously inaccessible targets and in challenging specimen types.

Oligonucleotides

DNA O-MAP uncovers the molecular neighborhoods associated with specific genomic loci.

The accuracy of crucial nuclear processes such as transcription, replication, and repair, depends on the local composition of chromatin and the regulatory proteins that reside there. Understanding these DNA-protein interactions at the level of specific genomic loci has remained challenging due to technical limitations. Here, we introduce a method termed "DNA O-MAP", which uses programmable peroxidase-conjugated oligonucleotide probes to biotinylate nearby proteins. We show that DNA O-MAP can be coupled with sample multiplexed quantitative proteomics, targeted chemical perturbations, and next-generation sequencing to quantify DNA-protein and DNA-DNA interactions at specific genomic loci. Furthermore, we establish that DNA O-MAP \ is applicable to both repetitive and unique genomic loci of varying sizes (kilobases to megabases), and that DNA O-MAP can measure proximal molecular effectors in a homolog-specific manner.

Journal Article