MassIVE MSV000088973

Partial Public

Targeted Activation in Localized Protein Environments via Deep Red Photoredox Catalysis

Description

State-of-the art photoactivation strategies in chemical biology provide spatiotemporal control and visualization of biological processes. We describe the development of targeted aryl azide activation via deep red light photoredox catalysis and its use in photocatalyzed proximity labeling. We demonstrate that aryl azides are converted to triplet nitrenes via a novel redox-centric mechanism and show that its spatially localized-formation requires both red light and a photocatalyst-targeting modality. This technology was applied in different colon cancer cell systems for targeted protein environment labeling of epithelial cell adhesion molecule (EpCAM). We identified a small subset of proteins with previously known and unknown association to EpCAM, including CDH3, a clinically relevant protein that shares high tumor selective expression with EpCAM. [doi:10.25345/C5X05XF0S] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: proximity labeling

Contact

Principal Investigators:
(in alphabetical order)
Olugbeminiyi Fadeyi, Merck, USA
Rob Oslund, Merck, USA
Tomislav Rovis, Columbia University, USA
Submitting User: ryukeu
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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
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