Efficient generation of transgenic reporter strains and analysis of expression patterns in Caenorhabditis elegans using library MosSCI.

BACKGROUND: In C. elegans, germline development and early embryogenesis rely on posttranscriptional regulation of maternally transcribed mRNAs. In many cases, the 3' untranslated region (UTR) is sufficient to govern the expression patterns of these transcripts. Several RNA-binding proteins are required to regulate maternal mRNAs through the 3'UTR. Despite intensive efforts to map RNA-binding protein-mRNA interactions in vivo, the biological impact of most binding events remains unknown. Reporter studies using single copy integrated transgenes are essential to evaluate the functional consequences of interactions between RNA-binding proteins and their associated mRNAs. RESULTS: In this report, we present an efficient method of generating reporter strains with improved throughput by using a library variant of MosSCI transgenesis. Furthermore, using RNA interference, we identify the suite of RNA-binding proteins that control the expression pattern of five different maternal mRNAs. CONCLUSIONS: The results provide a generalizable and efficient strategy to assess the functional relevance of protein-RNA interactions in vivo, and reveal new regulatory connections between key RNA-binding proteins and their maternal mRNA targets. Developmental Dynamics 245:925-936, 2016. © 2016 Wiley Periodicals, Inc.

Allosteric inhibition of a stem cell RNA-binding protein by an intermediary metabolite.

Gene expression and metabolism are coupled at numerous levels. Cells must sense and respond to nutrients in their environment, and specialized cells must synthesize metabolic products required for their function. Pluripotent stem cells have the ability to differentiate into a wide variety of specialized cells. How metabolic state contributes to stem cell differentiation is not understood. In this study, we show that RNA-binding by the stem cell translation regulator Musashi-1 (MSI1) is allosterically inhibited by 18-22 carbon ω-9 monounsaturated fatty acids. The fatty acid binds to the N-terminal RNA Recognition Motif (RRM) and induces a conformational change that prevents RNA association. Musashi proteins are critical for development of the brain, blood, and epithelium. We identify stearoyl-CoA desaturase-1 as a MSI1 target, revealing a feedback loop between ω-9 fatty acid biosynthesis and MSI1 activity. We propose that other RRM proteins could act as metabolite sensors to couple gene expression changes to physiological state.

Identification of luminal breast cancers that establish a tumor-supportive macroenvironment defined by proangiogenic platelets and bone marrow-derived cells.

UNLABELLED: Breast cancer recurrence rates vary following treatment, suggesting that tumor cells disseminate early from primary sites but remain indolent indefinitely before progressing to symptomatic disease. The reasons why some indolent disseminated tumors erupt into overt disease are unknown. We discovered a novel process by which certain luminal breast cancer (LBC) cells and patient tumor specimens (LBC "instigators") establish a systemic macroenvironment that supports outgrowth of otherwise-indolent disseminated tumors ("responders"). Instigating LBCs secrete cytokines that are absorbed by platelets, which are recruited to responding tumor sites where they aid vessel formation. Instigator-activated bone marrow cells enrich responding tumor cell expression of CD24, an adhesion molecule for platelets, and provide a source of VEGF receptor 2(+) tumor vessel cells. This cascade results in growth of responder adenocarcinomas and is abolished when platelet activation is inhibited by aspirin. These findings highlight the macroenvironment as an important component of disease progression that can be exploited therapeutically. SIGNIFICANCE: Currently, processes that mediate progression of otherwise indolent tumors are not well understood, making it difficult to accurately predict which cancer patients are likely to relapse. Our findings highlight the macroenvironment as an important component of disease progression that can be exploited to more accurately identify patients who would benefit from adjuvant therapy.