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Abeja, D. M.

Publications and source records attributed to Abeja, D. M..

5 recordsLinked to original sources

Unbiased, systematic surfaceome profiling of Acute Leukemia to identify novel immunotherapy targets

Cell surface proteomics provides a direct topological assessment of the outer membrane of cells and enables the capture of low abundance proteins that may be missed by whole cell proteomics. Here we present an unbiased atlas of the whole cell and surface proteomes of 25 commonly used leukemic cell lines, encompassing both lymphoid and myeloid lineages, and a variety of driver mutations. Paired-wise analysis highlights recurrent surface proteins that are not detected by whole cell proteomics. Coupling this dataset to RNA-sequencing, we also discovered genes where protein and RNA abundances are discordant. In KMT2A-rearranged AML, CD70 expression was increased across cell lines and validated in primary patient samples, supporting CD70 as a candidate therapeutic target in this disease. Several proteins are enriched in the surface proteomes but lack surface annotation, adding to the growing list of potential non-canonical cell surface proteins. These findings reveal a substantial pool of proteins absent from conventional surface annotations, including RNA-binding proteins, an emerging class of candidate immunotherapeutic targets.

molecular biology↗

Positive Selection Screen for Natural Product β-Catenin Inactivators

Many genetically validated targets in cancer, including the transcription factor {beta}-catenin ({beta}-cat), have historically been viewed as undruggable. Cell-based phenotypic screening of chemical compounds can reveal new biological and pharmacological principles. Natural products are powerful probes because of their superior structural diversity, drug-like properties, and biological activities as compared to unoptimized synthetic compounds. We screened 326,304 natural product mixtures (40,744 extracts and 285,560 fractions derived from them) using mammalian cells expressing an oncogenic version of {beta}-cat fused to a suicide protein. Multiple fractions degraded the {beta}-cat fusion protein or drove it into a compartment where both fusion partners were apparently inactive. The active natural product from one of the latter specifically activates novel, but not classical, protein kinase Cs (PKCs) and thereby relocates {beta}-cat to juxtamembrane vacuolar structures. These findings suggest a path for inactivating oncogenic {beta}-cat and underscore the power of screening natural product collections with robust phenotypic assays.

cancer biology↗

Discovery of electrophilic degraders that exploit SNAr chemistry

Targeted covalent inhibition (TCI) and targeted protein degradation (TPD) have proven effective in pharmacologically addressing formerly undruggable targets. Integration of both methodologies has resulted in the development of electrophilic degraders where recruitment of a suitable E3 ubiquitin ligase is achieved through formation of a covalent bond with a cysteine nucleophile. Expanding the scope of electrophilic degraders requires the development of electrophiles with tempered reactivity that enable selective ligase recruitment and reduce cross-reactivity with other cellular nucleophiles. In this study, we report the use of chemical moieties that enable nucleophilic aromatic substitution (SNAr) reactions in the rational design of electrophilic protein degraders. Appending an SNAr covalent warhead to several preexisting small molecule inhibitors transformed them into degraders, obviating the need for a defined E3 ligase recruiter. The SNAr covalent warhead is versatile; it can recruit various E3 ligases, including DDB1 and CUL4 associated factor 11 (DCAF11), DDB1 and CUL4 associated factor 16 (DCAF16), and possibly others. The incorporation of an SNAr covalent warhead into the BRD4 inhibitor led to the discovery of degraders with low picomolar degradation potency. Furthermore, we demonstrate the broad applicability of this approach through rational functional switching from kinase inhibitors into potent degraders.

biochemistry↗

Charged Molecular Glue Discovery Enabled by Targeted Degron Display

Small molecules that induce protein interactions hold tremendous potential as new medicines, as probes for molecular pathways, and as tools for agriculture. Explosive growth of targeted protein degradation (TPD) drug development has spurred renewed interest in proximity-inducing molecules and especially Molecular Glue Degraders (MGDs). These compounds catalyze destruction of disease-causing proteins by reshaping protein surfaces and promoting cooperative binding between ubiquitylating enzymes and target proteins. MGD discovery for pre-defined targets is a major challenge in contemporary drug discovery. The field is limited by a lack of approaches that can exploit charged ligand-binding pockets, thus excluding a major fraction of ubiquitin ligases (E3s) that evolved to recognize exceedingly common acidic and basic degrons. Here we solve these important chemical challenges through "chemocentric" MGD discovery of ZZ1, a BET-family protein degrader and a prodrug of a negatively charged glue (c-Glue). ZZ1 activation unmasks a sulfinic acid moiety that binds the modular GID/CTLH ubiquitin ligase complex via a basic pocket in its YPEL5 subunit. YPEL5 is a CRBN structural homolog and an essential non-Cullin ubiquitin ligase cofactor expressed in cancers of the bone marrow. These findings demonstrate a previously unrecognized capacity of YPEL5 to recruit GID/CTLH substrates, and they provide a powerful strategy to discover c-Glues that induce proximity to ubiquitin ligases with similarly desirable properties.

biochemistry↗

Unveiling the hidden interactome of CRBN molecular glues with chemoproteomics

Targeted protein degradation and induced proximity refer to strategies that leverage the recruitment of proteins to facilitate their modification, regulation or degradation. As prospective design of glues remains challenging, unbiased discovery methods are needed to unveil hidden chemical targets. Here we establish a high throughput affinity purification mass spectrometry workflow in cell lysates for the unbiased identification of molecular glue targets. By mapping the targets of 20 CRBN-binding molecular glues, we identify 298 protein targets and demonstrate the utility of enrichment methods for identifying novel targets overlooked using established methods. We use a computational workflow to estimate target confidence and perform a biochemical screen to identify a lead compound for the new non-ZF target PPIL4. Our study provides a comprehensive inventory of targets chemically recruited to CRBN and delivers a robust and scalable workflow for identifying new drug-induced protein interactions in cell lysates.

cancer biology↗