JAABA: interactive machine learning for automatic annotation of animal behavior

We present a machine learning-based system for automatically computing interpretable, quantitative measures of animal behavior. Through our interactive system, users encode their intuition about behavior by annotating a small set of video frames. These manual labels are converted into classifiers that can automatically annotate behaviors in screen-scale data sets. Our general-purpose system can create a variety of accurate individual and social behavior classifiers for different organisms, including mice and adult and larval Drosophila.

Zalpha-domains: At the intersection between RNA editing and innate immunity

The involvement of A to I RNA editing in antiviral responses was first indicated by the observation of genomic hyper-mutation for several RNA viruses in the course of persistent infections. However, in only a few cases an antiviral role was ever demonstrated and surprisingly, it turns out that ADARs - the RNA editing enzymes - may have a prominent pro-viral role through the modulation/down-regulation of the interferon response. A key role in this regulatory function of RNA editing is played by ADAR1, an interferon inducible RNA editing enzyme. A distinguishing feature of ADAR1, when compared with other ADARs, is the presence of a Z-DNA binding domain, Zalpha. Since the initial discovery of the specific and high affinity binding of Zalpha to CpG repeats in a left-handed helical conformation, other proteins, all related to the interferon response pathway, were shown to have similar domains throughout the vertebrate lineage. What is the biological function of this domain family remains unclear but a significant body of work provides pieces of a puzzle that points to an important role of Zalpha domains in the recognition of foreign nucleic acids in the cytoplasm by the innate immune system. Here we will provide an overview of our knowledge on ADAR1 function in interferon response with emphasis on Zalpha domains.