Structural analysis of the lncRNA SChLAP1 reveals protein binding interfaces and a conformationally heterogenous retroviral insertion
The lncRNA second chromosome locus associated with prostate 1 (SChLAP1) was previously identified as a predictive biomarker and potential driver of aggressive prostate cancer. Recent work suggested that SChLAP1 may bind the SWI/SNF chromatin remodeling complex to promote prostate cancer metastasis, though the exact role of SWI/SNF recognition is debated. To date, there are no detailed biochemical studies of <i>apo</i> SChLAP1 or SChLAP1:protein complexes. Herein, we report the first secondary structure model of SChLAP1 using SHAPE-MaP in vitro, in cellulo, and ex cellulo (protein-free). Comparison of the ex cellulo and in cellulo data via ΔSHAPE identified putative protein binding regions within SChLAP1. In addition, phylogenetic analysis revealed that SChLAP1 is a primate-conserved lncRNA, with two exons significantly derived from primate-specific retroviral insertions. In particular, we characterized a complex structural landscape in a protein binding region at the 3'-end of SChLAP1 derived from a THE1B-type retroviral insertion, suggesting a role for an exapted RNA structure in SChLAP1:protein recognition and prostate cancer progression. Lastly, pulldowns of SChLAP1 substructures enabled identification of previously unestablished SChLAP1-interacting proteins. This work lays the foundation for future efforts to selectively target and disrupt SChLAP1 structures and/or protein interfaces and to develop new therapeutic avenues in prostate cancer treatment.
Authors
- James P. Falese (ORCID: https://orcid.org/0000-0002-5481-3096)
- Emily J. McFadden (ORCID: https://orcid.org/0000-0003-1873-0557)
- Amanda E. Hargrove (ORCID: https://orcid.org/0000-0003-1536-6753)
- Christopher A. D'Inzeo
Institutions
- Duke University (US)
- University of Toronto (CA)
Publication Details
- Journal
- RNA
- Published
- 2025-06-11
- DOI
- https://doi.org/10.1261/rna.080488.125
- Citations
- 2
- Primary Topic
- Cancer-related molecular mechanisms research
- Type
- article
- Field-Weighted Citation Impact
- 1.87