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Collaborate with the YRC. Click to learn more.

Learn more about the technology being developed by the YRC.

Find software developed by the YRC.

Find research articles published by the YRC.

The YRC is a NIGMS Biomedical Technology Research Center based at the University of Washington in Seattle. Click to learn more about us.

Learn more about the technologies being developed by the YRC and how they are being applied to biomedical problems.

Learn how to collaborate with the YRC–leveraging our technology and expertise in your research.

197

Active Projects

230

Collaborators Since 2011

$38M

Annual NIH Dollars Impacted

727

YRC Publications

New Research

We are developing technology to produce biosensors based on a ligand-binding domain (LBD) that may, in principle, be applied to any target molecule. The power of this method is illustrated in this paper by development of biosensors for digoxin and progesterone.

Read more in eLIFE or in PubMed Central.

In this work, we combine the results of protein cross-linking mass spectrometry with iterative structural modelling to determine the molecular architecture of the 10-member Dam1p protein complex in S. cerevisiae. Using this technique, we can model conformational changes resulting from binding with microtubules.

Read more in Nature Communications or in PubMed Central.

Latest Publications

Brilot, AF et al. (2021) CM1-driven assembly and activation of yeast γ-tubulin small complex underlies microtubule nucleation. Elife 10 :. PubMed PMID:33949948

Pirie, E et al. (2021) S-nitrosylated TDP-43 triggers aggregation, cell-to-cell spread, and neurotoxicity in hiPSCs and in vivo models of ALS/FTD. Proc Natl Acad Sci U S A 118 (11):. PubMed PMID:33692125

Kim, TK et al. (2021) Borrelia burgdorferi infection modifies protein content in saliva of Ixodes scapularis nymphs. BMC Genomics 22 (1):152. PubMed PMID:33663385

Bamberger, C et al. (2021) The Host Interactome of Spike Expands the Tropism of SARS-CoV-2. bioRxiv :. PubMed PMID:33619478

Fondrie, WE et al. (2021) mokapot: Fast and Flexible Semisupervised Learning for Peptide Detection. J Proteome Res 20 (4):1966-1971. PubMed PMID:33596079