Evolution of the AID/APOBEC family of polynucleotide (deoxy)cytidine deaminases

The AID/APOBEC family (comprising AID, APOBEC1, APOBEC2, and APOBEC3 subgroups) contains members that can deaminate cytidine in RNA and/or DNA and exhibit diverse physiological functions (AID and APOBEC3 deaminating DNA to trigger pathways in adaptive and innate immunity; APOBEC1 mediating apolipoprotein B RNA editing). The founder member APOBEC1, which has been used as a paradigm, is an RNA-editing enzyme with proposed antecedents in yeast. Here, we have undertaken phylogenetic analysis to glean insight into the primary physiological function of the AID/APOBEC family. We find that although the family forms part of a larger superfamily of deaminases distributed throughout the biological world, the AID/APOBEC family itself is restricted to vertebrates with homologs of AID (a DNA deaminase that triggers antibody gene diversification) and of APOBEC2 (unknown function) identifiable in sequence databases from bony fish, birds, amphibians, and mammals. The cloning of an AID homolog from dogfish reveals that AID extends at least as far back as cartilaginous fish. Like mammalian AID, the pufferfish AID homolog can trigger deoxycytidine deamination in DNA but, consistent with its cold-blooded origin, is thermolabile. The fine specificity of its mutator activity and the biased codon usage in pufferfish IgV genes appear broadly similar to that of their mammalian counterparts, consistent with a coevolution of the antibody mutator and its substrate for the optimal targeting of somatic mutation during antibody maturation. By contrast, APOBEC1 and APOBEC3 are later evolutionary arrivals with orthologs not found in pufferfish (although synteny with mammals is maintained in respect of the flanking loci). We conclude that AID and APOBEC2 are likely to be the ancestral members of the AID/APOBEC family (going back to the beginning of vertebrate speciation) with both APOBEC1 and APOBEC3 being mammal-specific derivatives of AID and a complex set of domain shuffling underpinning the expansion and evolution of the primate APOBEC3s.     

Mouse phenotyping

Model organisms like the mouse are important tools to learn more about gene function in man. Within the last 20 years many mutant mouse lines have been generated by different methods such as ENU mutagenesis, constitutive and conditional knock-out approaches, knock-down, introduction of human genes, and knock-in techniques, thus creating models which mimic human conditions. Due to pleiotropic effects, one gene may have different functions in different organ systems or time points during development. Therefore mutant mouse lines have to be phenotyped comprehensively in a highly standardized manner to enable the detection of phenotypes which might otherwise remain hidden. The German Mouse Clinic (GMC) has been established at the Helmholtz Zentrum München as a phenotyping platform with open access to the scientific community (www.mousclinic.de; [1]). The GMC is a member of the EUMODIC consortium which created the European standard workflow EMPReSSslim for the systemic phenotyping of mouse models (http://www.eumodic.org/ [2]).     

Stable DNA Methylation Boundaries and Expanded Trinucleotide Repeats: Role of DNA Insertions

The human genome segment upstream of the FMR1 (fragile X mental retardation 1) gene (Xq27.3) contains several genetic signals, among them is a DNA methylation boundary that is located 65–70 CpGs upstream of the CGG repeat. In fragile X syndrome (FXS), the boundary is lost, and the promoter is inactivated by methylation spreading. Here we document boundary stability in spite of critical expansions of the CGG trinucleotide repeat in male or female premutation carriers and in high functioning males (HFMs). HFMs carry a full CGG repeat expansion but exhibit an unmethylated promoter and lack the FXS phenotype. The boundary is also stable in Turner (45, X) females. A CTCF-binding site is located slightly upstream of the methylation boundary and carries a unique G-to-A polymorphism (single nucleotide polymorphism), which occurs 3.6 times more frequently in genomes with CGG expansions. The increased frequency of this single nucleotide polymorphism might have functional significance. In CGG expansions, the CTCF region does not harbor additional mutations. In FXS individuals and often in cells transgenomic for EBV (Epstein Barr Virus) DNA or for the telomerase gene, the large number of normally methylated CpGs in the far-upstream region of the boundary is decreased about 4-fold. A methylation boundary is also present in the human genome segment upstream of the HTT (huntingtin) promoter (4p16.3) and is stable both in normal and Huntington disease chromosomes. Hence, the vicinity of an expanded repeat does not per se compromise methylation boundaries. Methylation boundaries exert an important function as promoter safeguards.     

Translational control by cytoplasmic polyadenylation in Xenopus oocytes

Elongation of the poly(A) tails of specific mRNAs in the cytoplasm is a crucial regulatory step in oogenesis and early development of many animal species. The best studied example is the regulation of translation by cytoplasmic polyadenylation elements (CPEs) in the 3' untranslated region of mRNAs involved in Xenopus oocyte maturation. In this review we discuss the mechanism of translational control by the CPE binding protein (CPEB) in Xenopus oocytes as follows: Finally we discuss some of the remaining questions regarding the mechanisms of translational regulation by cytoplasmic polyadenylation and give our view on where our knowledge is likely to be expanded in the near future.     

Smart process development: Application of machine-learning and integrated process modeling for inclusion body purification processes

The development of a biopharmaceutical production process usually occurs sequentially, and tedious optimization of each individual unit operation is very time-consuming. Here, the conditions established as optimal for one-step serve as input for the following step. Yet, this strategy does not consider potential interactions between a priori distant process steps and therefore cannot guarantee for optimal overall process performance. To overcome these limitations, we established a smart approach to develop and utilize integrated process models using machine learning techniques and genetic algorithms. We evaluated the application of the data-driven models to explore potential efficiency increases and compared them to a conventional development approach for one of our development products. First, we developed a data-driven integrated process model using gradient boosting machines and Gaussian processes as machine learning techniques and a genetic algorithm as recommendation engine for two downstream unit operations, namely solubilization and refolding. Through projection of the results into our large-scale facility, we predicted a twofold increase in productivity. Second, we extended the model to a three-step model by including the capture chromatography. Here, depending on the selected baseline-process chosen for comparison, we obtained between 50% and 100% increase in productivity. These data show the successful application of machine learning techniques and optimization algorithms for downstream process development. Finally, our results highlight the importance of considering integrated process models for the whole process chain, including all unit operations.