rapmad: Robust analysis of peptide microarray data.

Background: Peptide microarrays offer an enormous potential as a screening tool for peptidomics experiments and have recently seen an increased field of application ranging from immunological studies to systems biology. By allowing the parallel analysis of thousands of peptides in a single run they are suitable for high-throughput settings. Since data characteristics of peptide microarrays differ from DNA oligonucleotide microarrays, computational methods need to be tailored to these specifications to allow a robust and automated data analysis.

Tumor vaccination using messenger RNA: prospects of a future therapy.

While the endeavor to vaccinate against cancer has been pursued for over 20 years, only recently was the first tumor vaccine approved. Among the different antigen formats assessed for vaccination, coding messenger RNA (mRNA) is emerging as a particularly attractive option. It can code for all types of transcript based proteins, is easy and cost efficient to produce, has a favorable safety profile and enables induction of combined immune responses.

Selective uptake of naked vaccine RNA by dendritic cells is driven by macropinocytosis and abrogated upon DC maturation.

Even though it is known for more than one decade that antigen-encoding RNA can deliver antigenic information to induce antigen-specific immunity against cancer, the nature and mechanism of RNA uptake have remained enigmatic. In this study, we investigated the pharmacokinetics of naked RNA administered into the lymph node. We observed that RNA is rapidly and selectively uptaken by lymph node dendritic cells (DCs).