Artificial Multi-Gene Expression Systems Design Service for Natural Compound Formation and Hetero Protein Complexes
Poster Oct 09, 2014
Bernauer, Hubert, Gregor Zipf and Josef Maier
ATG:biosynthetics has developed analytical comparative genomics and constructive in silico solutions for the field of multi-gene construction and multiple-protein expression systems where all orchestral genes
are located on one to a few assembled constructs. We achieve this by intended, constructive biological designs based on experience learned during many customer projects. Constructive molecular biology ap-proaches for creating artificial multi-gene expression systems in order to express natural compounds - in vivo and in vitro - need basic molecular design concepts, synthetic bioinformatics services, vector systems and functionally predictive sequence modulations. Multi-parametric sequence optimization calculations of regulator regions and coding sequences of pathway genes are performed in parallel. Thorough comparative analyses of related genomes allow the extraction of host-specific design rules, which are applied during sequence optimization. Our setups include iterative design of experiments that makes extensive
use of active learning heuristics, in order to speed up the overall pathway optimization processes.
We utilized paired synthetic crRNAs coupled with our synthetic tracrRNA in cells transduced with lentiviral Cas9 to perform a functional knockout on hsa-miR-221. This three-part system (crRNA, tracrRNA and Cas9) has demonstrated efficient gene editing when used with only one guide RNA, but the goal was to use two crRNAs to remove the entire stem-loop.READ MORE
During early drug discovery, the study of metabolism plays an essential role in determining which drug candidates move forward into development and later stages. As an alternative to traditional Data Dependent Acquisition (DDA), the use of MSE/All Ions Fragmentation (AIF) has become common in metabolite identification workflows for the analysis of metabolic hot spots. Here we present a solution for analysis of MSE/AlF in metID studies.READ MORE