Functional Chimeras of GLIC Obtained by Adding the Intracellular Domain of Anion- and Cation-Conducting Cys-Loop Receptors.

Pentameric ligand-gated ion channels (pLGICs), also called Cys-loop receptors in eukaryotic superfamily members, play diverse roles in neurotransmission and serve as primary targets for many therapeutic drugs. Structural studies of full-length eukaryotic pLGICs have been challenging because of glycosylation, large size, pentameric assembly, and hydrophobicity. X-ray structures of prokaryotic pLGICs, including the Gloeobacter violaceus LGIC (GLIC) and the Erwinia chrysanthemi LGIC (ELIC), and truncated eukaryotic pLGICs have significantly improved and complemented the understanding of structural details previously obtained with acetylcholine-binding protein and Torpedo nicotinic acetylcholine receptors. Prokaryotic pLGICs share their overall structural features with eukaryotic pLGICs for the ligand-binding extracellular and channel-lining transmembrane domains. The large intracellular domain (ICD) is present only in eukaryotic members and is characterized by a low level of sequence conservation and significant variability in length (50-250 amino acids), making the ICD a potential target for the modulation of specific pLGIC subunits. None of the structures includes a complete ICD. Here, we created chimeras by adding the ICD of cation-conducting (nAChR-α7) and anion-conducting (GABAρ1, Glyα1) eukaryotic homopentamer-forming pLGICs to GLIC. GLIC-ICD chimeras assemble into pentamers to form proton-gated channels, as does the parent GLIC. Additionally, the sensitivity of the chimeras toward modulation of functional maturation by chaperone protein RIC-3 is preserved as in those of the parent eukaryotic channels. For a previously described GLIC-5HT3A-ICD chimera, we now provide evidence of its successful large-scale expression and purification to homogeneity. Overall, the chimeras provide valuable tools for functional and structural studies of eukaryotic pLGIC ICDs.

A Functional Precision Oncology Approach to Identify Treatment Strategies for Myxofibrosarcoma Patients.

In this era of precision medicine, numerous workflows for the targeting of high-recurrent mutations in common tumor types have been developed, leaving patients with rare diseases with few options. Here, we implement a functional precision oncology approach utilizing comprehensive genomic profiling in combination with high-throughput drug screening, to identify tumor-specific drug sensitivities for patients with rare tumor types such as myxofibrosarcoma. From a patient with a high-grade myxofibrosarcoma, who was enrolled in the Englander Institute for Precision Medicine (EIPM) program, we established patient-derived 3D sarco-spheres and xenograft models for functional testing. In the absence of a large cohort of clinically similar cases, high-throughput drug screening was performed on the patient-derived cells, and compared with two other myxofibrosarcoma lines and a benign fibroblast line to functionally identify tumor-specific drug sensitivities. The addition of functional drug sensitivity testing to complement genomic profiling identified multiple therapeutic options that were further validated in patient derived xenograft models. Genomic analyses detected the frequently known codeletion of the tumor suppressors CDKN2A/B together with the methylthioadenosine phosphorylase (MTAP) and a TP53 E286fs*50 mutation. High-throughput drug screening demonstrated tumor-specific sensitivity to compounds targeting the cell cycle. Based on genomic analysis and high-throughput drug screening, we show that targeting the cell cycle in these tumors is a powerful approach. IMPLICATIONS: This study demonstrates the potential of functional testing to aid clinical decision making for patients with rare or molecularly complex malignancies when combined with comprehensive genomic profiling.

The oestrogen receptor alpha-regulated lncRNA NEAT1 is a critical modulator of prostate cancer.

The androgen receptor (AR) plays a central role in establishing an oncogenic cascade that drives prostate cancer progression. Some prostate cancers escape androgen dependence and are often associated with an aggressive phenotype. The oestrogen receptor alpha (ERα) is expressed in prostate cancers, independent of AR status. However, the role of ERα remains elusive. Using a combination of chromatin immunoprecipitation (ChIP) and RNA-sequencing data, we identified an ERα-specific non-coding transcriptome signature. Among putatively ERα-regulated intergenic long non-coding RNAs (lncRNAs), we identified nuclear enriched abundant transcript 1 (NEAT1) as the most significantly overexpressed lncRNA in prostate cancer. Analysis of two large clinical cohorts also revealed that NEAT1 expression is associated with prostate cancer progression. Prostate cancer cells expressing high levels of NEAT1 were recalcitrant to androgen or AR antagonists. Finally, we provide evidence that NEAT1 drives oncogenic growth by altering the epigenetic landscape of target gene promoters to favour transcription.