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Omics · study · 2026

Photoproximity labeling of c-Myc reveals SLK as a cancer-specific co-regulator [ChIP-Seq]

Listed in NCBI GEO

Transcription factors (TFs) have long been aspirational therapeutic targets for the treatment of diseases, as their dysregulation is a common mechanism for altered cell states.

Description

Despite this, many TFs implicated in disease have disordered structures and lack canonical binding pockets, rendering them non-trivial targets for small molecule-based therapies. Directly inhibiting TF function has proven difficult, but indirect inhibition by targeting the effector molecules that modulate TF function is a promising, yet underexplored, alternative approach.

Here we report a strategy for capturing cancer-specific protein-protein interactions using context-dependent µMap photoproximity labeling. Using an intein-based method for catalyst conjugation in biochemically intact nuclei, we demonstrate that we can capture unique protein interactomes of c-Myc in healthy and cancerous prostate cell lines, and that these unique interactors can be mined to identify druggable vulnerabilities.

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We find that a cancer-specific c-Myc interactor, STE20 like kinase (SLK), selectively promotes c-Myc stabilization at the protein level, drives epithelial morphology, and is essential for tumorigenesis, validating it as a viable therapeutic target. Mechanistically, this stabilization is driven by SLK-mediated phosphorylation of c-Myc at serine 329, which antagonizes GSK3β-dependent phosphorylation of the c-Myc phosphodegron and effectively increases the stability of c-Myc.

This cancer-selective interaction is enabled by a change in SLK splicing that promotes nuclear localization of the long isoform, rather than changes at the protein or total RNA level. Furthermore, analysis of cancer patient data shows a strong correlation between the SLK long splice isoform and expression of c-Myc targets across multiple tumor types. Importantly, the SLK-c-Myc interaction is validated in cancer cell lines from diverse tissues, suggesting this novel regulatory axis is broadly operative across human cancer.

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From keywords
Life Sciences
Inferred from text
Cancer 75% · Disease 75% · Genetics 68%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE33034512 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[disease].local:disease:cancerenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[disease].local:disease:diseaseenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].anzsrc:group:3105enrichment · NCBI GEOtaxonomy-embedding@1.1.0title+keywords+description (68%)
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:genome-binding-occupancy-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[organism].NCBITaxon:9606source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title