No abstract

RNA, normally thought of as a conduit in gene expression, has a novel mode of action in ciliated protozoa. Maternal RNA templates provide both an organizing guide for DNA rearrangements and a template that can transport somatic mutations to the next generation. This opportunity for RNA-mediated genome rearrangement and DNA repair is profound in the ciliate Oxytricha, which deletes 95% of its germline genome during development in a process that severely fragments its chromosomes and then sorts and reorders the hundreds of thousands of pieces remaining. Oxytricha’s somatic nuclear genome is therefore an epigenome formed through RNA templates and signals arising from the previous generation. Furthermore, this mechanism of RNA-mediated epigenetic inheritance can function across multiple generations, and the discovery of maternal template RNA molecules has revealed new biological roles for RNA and has hinted at the power of RNA molecules to sculpt genomic information in cells.

Cancer vaccines can generate and amplify tumor-specific T cell responses with the promise to provide long-term control of cancer. All cancer cells harbor genetic alterations encoding neoantigens that are specific to the tumor and not present in normal tissue. Similar to foreign antigens targeted by T cells in infectious disease settings, neoantigens represent the long elusive immunogens for cancer vaccination. Since the vast majority of mutations are unique to individual tumors, neoantigen vaccines require custom design for each patient. The availability of rapid and cost-effective genome sequencing, along with advanced bioinformatics tools, now allows neoantigen-target discovery and vaccine manufacturing in sufficient time for the treatment of cancer patients. Clinical trials in melanoma and glioblastoma have demonstrated the feasibility, immunogenicity, and signals of efficacy of this personalized immunotherapy approach. Key unresolved areas include identification of the most effective vaccine delivery platforms, validation and consensus of neoantigen target selection, and optimal strategies for partnering immunotherapies. Given the universal presence of mutations in cancer and the patient-tailored paradigm, personalized neoantigen vaccines have potential applicability for all cancer patients.

High-throughput genome sequencing and computation have enabled rapid identification of targets for personalized medicine, including cancer vaccines. Synthetic peptides are an established mode of cancer vaccine delivery, but generating the peptides for each patient in a rapid and affordable fashion remains difficult. High-throughput peptide synthesis technology is therefore urgently needed for patient-specific cancer vaccines to succeed in the clinic. Previously, we developed automated flow peptide synthesis technology that greatly accelerates the production of synthetic peptides. Herein, we show that this technology permits the synthesis of high-quality peptides for personalized medicine. Automated flow synthesis produces 30-mer peptides in less than 35 minutes and 15- to 16-mer peptides in less than 20 minutes. The purity of these peptides is comparable with or higher than the purity of peptides produced by other methods. This work illustrates how automated flow synthesis technology can enable customized peptide therapies by accelerating synthesis and increasing purity. We envision that implementing this technology in clinical settings will greatly increase capacity to generate clinical-grade peptides on demand, which is a key step in reaching the full potential of personalized vaccines for the treatment of cancer and other diseases.