Zhi Lin

Photocatalytic proximity labeling proteomics (photo-PLP) has emerged as a powerful technology for rapid capture of protein interactomes in situ. Typically, photo-PLP relies on chemical conjugation of the photocatalyst to the target of interest which creates practical challenges for derivatized photocatalyst synthesis and bioconjugation specificity. Integrating the precision of genetically encodable enzymes with the versatility of chemically defined photocatalysts provides a modular approach to further expand the scope of neighborhood mapping. Here, we present EYClamp, a de novo designed proximity labeling enzyme harnessing the off-the-shelf photocatalyst Eosin Y (EY) as a cofactor. Using a domain-swapped dimer architecture, we designed a scaffold that binds EY with high affinity ( K _d = 10 nM) and lengthens its triplet excited-state lifetime by 29-fold. EYClamp enables efficient, multi-scale photocatalytic proximity labeling in live cells with aryl-diazirine-, aryl-azide- and phenol-biotin. We genetically fused EYClamp to a panel of six important E3 ligases. Using EYClamp, we identified over 1,500 candidate neighbors for KEAP1, MDM2, ASB7 and STUB1, providing a broad and unbiased view of these important neighborhoods. Critical functional networks were revealed including ASB7 engagement with HP1a/CUL5 complex for heterochromatin remodeling. Our EYClamp provides a genetically encodable “plug-and-play” solution for photo-PLP interactome discovery of the large family of E3 ligases and establishes domain-swapping as a promising strategy for de novo photoenzyme design.

Photoproximity labeling proteomics (PLP) methods have recently shown that cell surface receptors can form lateral interactome networks. Here, we present a paired set of PLP workflows that dynamically track neighborhood changes for oncogenic epidermal growth factor receptor (EGFR) over time, both outside and inside of cells. We achieved this by augmenting the multiscale PLP workflow we call MultiMap, where three photoprobes with different labeling ranges were photoactivated by one photocatalyst, eosin Y, anchored extracellularly and intracellularly on EGFR. We identified hundreds of neighboring proteins that changed within minutes to over 1 h after the addition of EGF. These neighborhoods reveal dynamic interactomes during early, middle and late signaling that drive phosphorylation, internalization, degradation and transcriptional regulation. This rapid ‘molecular photographic’ labeling approach provides snapshots of signaling neighborhoods, revealing their dynamic nature and potential for drug targeting.

A systematic investigation of cyclic imide stereoisomers in small molecules, peptides, and proteins, examining their racemization, CRBN engagement, ternary complex formation in vitro , and resulting degradation outcomes in cells.

The widespread application of genome editing to treat and cure disease requires the delivery of genome editors into the nucleus of target cells. Enveloped delivery vehicles (EDVs) are engineered virally derived particles capable of packaging and delivering CRISPR-Cas9 ribonucleoproteins (RNPs). However, the presence of lentiviral genome encapsulation and replication proteins in EDVs has obscured the underlying delivery mechanism and precluded particle optimization. Here, we show that Cas9 RNP nuclear delivery is independent of the native lentiviral capsid structure. Instead, EDV-mediated genome editing activity corresponds directly to the number of nuclear localization sequences on the Cas9 enzyme. EDV structural analysis using cryo-electron tomography and small molecule inhibitors guided the removal of ~80% of viral residues, creating a minimal EDV (miniEDV) that retains full RNP delivery capability. MiniEDVs are 25% smaller yet package equivalent amounts of Cas9 RNPs relative to the original EDVs and demonstrated increased editing in cell lines and therapeutically relevant primary human T cells. These results show that virally derived particles can be streamlined to create efficacious genome editing delivery vehicles with simpler production and manufacturing.

Photo-proximity labeling proteomics (PLP) methods have recently shown that the cell surface receptors can dynamically form lateral interactome networks. Here, we present a paired set of PLP workflows that simultaneously track neighborhood changes for oncogenic epidermal growth factor receptor (EGFR) with temporal resolution, both outside and inside of cells. We achieved this by augmenting the multiscale PLP workflow we call MultiMap, where three photo-probes with different labeling ranges were photo-activated by one photocatalyst, Eosin Y. By anchoring Eosin Y extracellularly and intracellularly on EGFR, we captured hundreds of proteins on both sides of the cell membrane that change in proximity to EGFR upon EGF activation. Neighbors engaged with EGFR within minutes to over an hour, reflecting dynamic interactomes during early, mid- and late-signaling including phosphorylation, internalization, degradation and transcriptional regulation. This rapid “photographic” labeling approach provides snapshots of signaling neighborhoods, revealing their dynamic nature, and potential for drug targeting.

De novo protein design provides a framework to test our understanding of protein function and to build proteins with cofactors and functions not found in nature. Here, we report the design of proteins designed to bind powerful photooxidants and the evaluation of the use of these proteins to generate diffusible small molecule reactive species for applications in proximity labeling. Because excited state dynamics are influenced by the dynamics and hydration of a photo-oxidant’s environment, it was important to not only design a binding site, but also to evaluate its dynamic properties. Thus, we used computational design in conjunction with molecular dynamics (MD) simulations to design a protein, designated NBP ( N DI B inding P rotein) that held a naphthalenediimide (NDI), a powerful photooxidant, in a programable molecular environment. Solution NMR confirmed the structure of the complex. We evaluated two NDI cofactors in this de novo protein, using ultra-fast pump-probe spectroscopy to evaluate light-triggered intra- and intermolecular electron transfer function. Moreover, we demonstrated the utility of this platform to activate multiple molecular probes for protein proximity labeling.

The widespread application of genome editing to treat or even cure disease requires the delivery of genome editors into the nucleus of target cells. Enveloped Delivery Vehicles (EDVs) are engineered virally-derived particles capable of packaging and delivering CRISPR-Cas9 ribonucleoproteins (RNPs). However, the presence of lentiviral genome encapsulation and replication components in EDVs has obscured the underlying delivery mechanism and precluded particle optimization. Here we show that Cas9 RNP nuclear delivery is independent of the native lentiviral capsid structure. Instead, EDV-mediated genome editing activity corresponds directly to the number of nuclear localization sequences on the Cas9 enzyme. EDV structural analysis using cryo-electron tomography and small molecule inhibitors guided the removal of ∼80% of viral residues, creating a minimal EDV (miniEDV) that retains full RNP delivery capability. MiniEDVs are 25% smaller yet package equivalent amounts of Cas9 RNPs relative to the original EDVs, and demonstrated increased editing in cell lines and therapeutically-relevant primary human T cells. These results show that virally-derived particles can be streamlined to create efficacious genome editing delivery vehicles that could simplify production and manufacturing. SIGNIFICANCE STATEMENT Our results highlight the importance of understanding how virally-derived particles function to eliminate unnecessary viral proteins and create more efficacious and easier-to-produce delivery vehicles for therapeutic genome editing.

Proximity labeling proteomics (PLP) strategies are powerful approaches to yield snapshots of protein neighborhoods. Here, we describe a multiscale PLP method with adjustable resolution that uses a commercially available photocatalyst, Eosin Y, which upon visible light illumination activates different photo-probes with a range of labeling radii. We applied this platform to profile neighborhoods of the oncogenic epidermal growth factor receptor and orthogonally validated more than 20 neighbors using immunoassays and AlphaFold-Multimer prediction. We further profiled the protein neighborhoods of cell-cell synapses induced by bispecific T cell engagers and chimeric antigen receptor T cells. This integrated multiscale PLP platform maps local and distal protein networks on and between cell surfaces, which will aid in the systematic construction of the cell surface interactome, revealing horizontal signaling partners and reveal new immunotherapeutic opportunities.

The cell membrane proteome is the primary biohub for cell communication, yet we are only beginning to understand the dynamic protein neighborhoods that form on the cell surface and between cells. Proximity labeling proteomics (PLP) strategies using chemically reactive probes are powerful approaches to yield snapshots of protein neighborhoods but are currently limited to one single resolution based on the probe labeling radius. Here, we describe a multi-scale PLP method with tunable resolution using a commercially available histological dye, Eosin Y, which upon visible light illumination, activates three different photo-probes with labeling radii ranging from ∼100 to 3000 Å. We applied this platform to profile neighborhoods of the oncogenic epidermal growth factor receptor (EGFR) and orthogonally validated >20 neighbors using immuno-assays and AlphaFold-Multimer prediction that generated plausible binary interaction models. We further profiled the protein neighborhoods of cell-cell synapses induced by bi-specific T-cell engagers (BiTEs) and chimeric antigen receptor (CAR)T cells at longer length scales. This integrated multi-scale PLP platform maps local and distal protein networks on cell surfaces and between cells. We believe this information will aid in the systematic construction of the cell surface interactome and reveal new opportunities for immunotherapeutics.

Heterodimeric tryptophan‐containing diketopiperazines (HTDKPs) are an important class of bioactive secondary metabolites. Biosynthesis offers a practical opportunity to access their bioactive structural diversity, however, it is restricted by the limited substrate scopes of the HTDKPs‐forming P450 dimerases. Herein, by genome mining and investigation of the sequence‐product relationships, we unveiled three important residues (F387, F388 and E73) in these P450s that are pivotal for selecting different diketopiperazine (DKP) substrates in the upper binding pocket. Engineering these residues in Nas_F5053 significantly expanded its substrate specificity and enabled the collective biosynthesis, including 12 self‐dimerized and at least 81 cross‐dimerized HTDKPs. Structural and molecular dynamics analysis of F387G and E73S revealed that they control the substrate specificity via reducing steric hindrance and regulating substrate tunnels, respectively.