Shendure Lab
Principal Investigator: Jay Ashok Shendure
Institution: University of Washington (Seattle, WA)
Primary Subfield: Genetics/Genomics
Recruitment Status: Inquire for rotation/fellowship opportunities
Research Focus
ABSTRACT Within the past decade, single cell biology has exploded, and researchers now routinely characterize the molecular contents of individual cells obtained from both in vitro and in vivo contexts. However, the most widely used methods remain limited in critical ways. Through the first cycle of this award, we substantially broadened the scope and improved the performance of an exponentially scalable paradigm called single cell combinatorial indexing (“sci-*”). This included the development of new sci-* methods for nuclear oligo hashing, chemical transcriptomics, spatial transcriptomics and nascent transcriptomics, as well as markedly improved versions of sci-RNA-seq and sci-ATAC-seq. In parallel, we laid the foundation for a new generation of molecular recorders based on prime editing, termed DNA Typewriter and ENGRAM. In this renewal application, we propose to further advance sci-* and related methods with the goal of enabling the massively scalable perturbation and readout of multicellular model systems. Specifically, we propose to develop methods for: (1) “targeted molecular queries” of individual cells in sci-* experiments (payload, location, effect) that can be correlated…
Active NIH Awards
- 5R01HG010632-07: Versatile, exponentially scalable methods for single cell molecular profiling (2026)
- 3UM1HG011966-05S1: Massively parallel characterization of variants and elements impacting transcriptional regulation in dynamic cellular systems (2026)
- 5R01HG010632-06: Versatile, exponentially scalable methods for single cell molecular profiling (2025)
- 5UM1HG011966-05: Massively parallel characterization of variants and elements impacting transcriptional regulation in dynamic cellular systems (2025)
- 2R01HG010632-05A1: Versatile, exponentially scalable methods for single cell molecular profiling (2024)
Explore 700+ US Biology Labs on FindBioLabs.com