Cancer stem cells (CSCs) drive aggressiveness and metastasis by utilizing stem cell-related signals. In this study, 5-O-(N-Boc-l-alanine)-renieramycin T (OBA-RT) was demonstrated to suppress CSC signals and induce apoptosis. OBA-RT exerted cytotoxic effects with a half-maximal inhibitory concentration of approximately 7 µM and mediated apoptosis as detected by annexin V/propidium iodide using flow cytometry and nuclear staining assays. Mechanistically, OBA-RT exerted dual roles, activating p53-dependent apoptosis and concomitantly suppressing CSC signals. A p53-dependent pathway was indicated by the induction of p53 and the depletion of anti-apoptotic Myeloid leukemia 1 (Mcl-1) and B-cell lymphoma 2 (Bcl-2) proteins. Cleaved poly (ADP-ribose) polymerase (Cleaved-PARP) was detected in OBA-RT-treated cells. Interestingly, OBA-RT exerted strong CSC-suppressing activity, reducing the ability to form tumor spheroids. In addition, OBA-RT could induce apoptosis in CSC-rich populations and tumor spheroid collapse. CSC markers, including prominin-1 (CD133), Octamer-binding transcription factor 4 (Oct4), and Nanog Homeobox (Nanog), were notably decreased after OBA-RT treatment. Upstream CSCs regulating active Akt and c-Myc were significantly decreased; indicating that Akt may be a potential target of action. Computational molecular modeling revealed a high-affinity interaction between OBA-RT and an Akt molecule. This study has revealed a novel CSC inhibitory effect of OBA-RT via Akt inhibition, which may improve cancer therapy.

RNA targeting represents a compelling strategy for addressing challenging therapeutic targets that are otherwise intractable through traditional protein targeting. Revolutionary approaches in RNA-focused small molecule libraries have successfully identified RNA-binding ligands but generally remain limited in diversity and impeded by a dearth of structural insight into RNA and RNA complexes. Cyclic peptides are potential structural mimics of evolutionary RNA-protein interacting motifs and can be massively diversified and selected via genetically encoded libraries, offering a complementary approach. This study introduces genetically encoded thioether cyclic peptide libraries constructed through mRNA display using a dibromoxylene linker and its fluorosulfonyl derivative that can covalently engage RNA nucleophiles. Using an optimized mRNA display workflow for RNA binders, we discovered high affinity, covalent and noncovalent binders for SNCA 5' UTR IRE, the upstream iron-responsive element that post-transcriptionally regulates the expression of α-synuclein, an intrinsically disordered protein implicated in Parkinsonism and related neurodegenerative diseases. Notably, a stringent selection strategy employing "base-paired" target analog counterselection enhanced specificity by deenriching nonspecific electrostatic interactions mediated by polycationic residues. Further engineering hit peptides with an imidazole tag yielded selective RNA degraders in which covalent degraders showed noticeably improved potency from noncovalent counterparts. This work provides a prototype framework for evolution-driven, high-throughput, RNA-targeted drug discovery using cyclic peptides.

Point-of-care (POC) nucleic acid detection technologies are poised to aid gold-standard technologies in controlling the COVID-19 pandemic, yet shortcomings in the capability to perform critically needed complex detection—such as multiplexed detection for viral variant surveillance—may limit their widespread adoption. Herein, we developed a robust multiplexed CRISPR-based detection using LwaCas13a and PsmCas13b to simultaneously diagnose SARS-CoV-2 infection and pinpoint the causative SARS-CoV-2 variant of concern (VOC)— including globally dominant VOCs Delta (B.1.617.2) and Omicron (B.1.1.529)—all while maintaining high levels of accuracy upon the detection of multiple SARS-CoV-2 gene targets. The platform has several attributes suitable for POC use: premixed, freeze-dried reagents for easy use and storage; convenient direct-to-eye or smartphone-based readouts; and a one-pot variant of the multiplexed detection. To reduce reliance on proprietary reagents and enable sustainable use of such a technology in low- and middle-income countries, we locally produced and formulated our own recombinase polymerase amplification reaction and demonstrated its equivalent efficiency to commercial counterparts. Our tool—CRISPR-based detection for simultaneous COVID-19 diagnosis and variant surveillance which can be locally manufactured—may enable sustainable use of CRISPR diagnostics technologies for COVID- 19 and other diseases in POC settings.

Proteins that bind to a target protein of interest, termed “binders,” are essential components of biological research reagents and therapeutics. Target proteins present multiple binding surfaces with varying interaction potential. High-potential surfaces, or “hot spots,” are experimentally identified as the most probable binding sites in de novo discovery campaigns. However, hot spots and their default binding modes do not always confer the desired specificity. Related proteins or isoforms often share similar hot spots, resulting in promiscuous binding. Interaction with a hot spot may also fail to elicit the intended biological outcome. Consequently, methods that direct de novo binder discovery toward targets with defined specificity are critically needed. We recently developed phage-assisted non-continuous selection of binders (PANCS-Binders), a selection platform with unparalleled speed and sequence-function fidelity that enables routine de novo binder discovery within days. However, because PANCS-Binder selections enrich variants based primarily on affinity, secondary screening is unlikely to identify binders to lesser hot spots because of the high likelihood of convergence. These alternative binding surfaces with weaker inherent interactions may possess desirable specificity profiles. Here, we develop PANCS-spec-Binders, which incorporates simultaneous selection and counterselection to control the specificity of enriched binders. We demonstrate PANCS-spec-Binders in two proof- of-concept applications: (1) discovery of isoform-selective binders that bind HRAS with >100-fold higher affinity than the highly related KRAS isoform, and (2) discovery of epitope-specific binders that either target or avoid the LIR interaction region of LC3B. PANCS-spec-Binders enables rapid identification of binders with defined specificity within days. SIGNIFICANCE: Affinity reagents, termed “binders”, are essential tools in research and therapeutic development. Binders generally require high specificity either at the selectivity level (binding only the target protein, but not related proteins) or at the epitope level (binding only at a specific surface on the target rather than another). While methods to discover binders in general have progressed, identifying binders with defined specificity features often requires extensive secondary screening and frequently results in failure. Here, we adapt our recently developed binder discovery platform to solve these two selectivity problems. By rapidly screening billions of variants, we can direct specificity between highly related proteins, direct binding to a specific epitope, and, because of the fidelity of our selections, identify binders that specifically avoid a defined epitope.